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Understanding Data Presentations (Guide + Examples)

In this age of overwhelming information, the skill to effectively convey data has become extremely valuable. Initiating a discussion on data presentation types involves thoughtful consideration of the nature of your data and the message you aim to convey. Different types of visualizations serve distinct purposes. Whether you’re dealing with how to develop a report or simply trying to communicate complex information, how you present data influences how well your audience understands and engages with it. This extensive guide leads you through the different ways of data presentation.

Table of Contents

What is a Data Presentation?

What should a data presentation include, line graphs, treemap chart, scatter plot, how to choose a data presentation type, recommended data presentation templates, common mistakes done in data presentation.

A data presentation is a slide deck that aims to disclose quantitative information to an audience through the use of visual formats and narrative techniques derived from data analysis, making complex data understandable and actionable. This process requires a series of tools, such as charts, graphs, tables, infographics, dashboards, and so on, supported by concise textual explanations to improve understanding and boost retention rate.

Data presentations require us to cull data in a format that allows the presenter to highlight trends, patterns, and insights so that the audience can act upon the shared information. In a few words, the goal of data presentations is to enable viewers to grasp complicated concepts or trends quickly, facilitating informed decision-making or deeper analysis.

Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of data storytelling , so the speech skillfully connects the points through a narrative that resonates with the audience. Depending on the purpose – inspire, persuade, inform, support decision-making processes, etc. – is the data presentation format that is better suited to help us in this journey.

To nail your upcoming data presentation, ensure to count with the following elements:

• Clear Objectives: Understand the intent of your presentation before selecting the graphical layout and metaphors to make content easier to grasp.
• Engaging introduction: Use a powerful hook from the get-go. For instance, you can ask a big question or present a problem that your data will answer. Take a look at our guide on how to start a presentation for tips & insights.
• Structured Narrative: Your data presentation must tell a coherent story. This means a beginning where you present the context, a middle section in which you present the data, and an ending that uses a call-to-action. Check our guide on presentation structure for further information.
• Visual Elements: These are the charts, graphs, and other elements of visual communication we ought to use to present data. This article will cover one by one the different types of data representation methods we can use, and provide further guidance on choosing between them.
• Insights and Analysis: This is not just showcasing a graph and letting people get an idea about it. A proper data presentation includes the interpretation of that data, the reason why it’s included, and why it matters to your research.
• Conclusion & CTA: Ending your presentation with a call to action is necessary. Whether you intend to wow your audience into acquiring your services, inspire them to change the world, or whatever the purpose of your presentation, there must be a stage in which you convey all that you shared and show the path to staying in touch. Plan ahead whether you want to use a thank-you slide, a video presentation, or which method is apt and tailored to the kind of presentation you deliver.
• Q&A Session: After your speech is concluded, allocate 3-5 minutes for the audience to raise any questions about the information you disclosed. This is an extra chance to establish your authority on the topic. Check our guide on questions and answer sessions in presentations here.

Bar charts are a graphical representation of data using rectangular bars to show quantities or frequencies in an established category. They make it easy for readers to spot patterns or trends. Bar charts can be horizontal or vertical, although the vertical format is commonly known as a column chart. They display categorical, discrete, or continuous variables grouped in class intervals [1] . They include an axis and a set of labeled bars horizontally or vertically. These bars represent the frequencies of variable values or the values themselves. Numbers on the y-axis of a vertical bar chart or the x-axis of a horizontal bar chart are called the scale.

Real-Life Application of Bar Charts

Let’s say a sales manager is presenting sales to their audience. Using a bar chart, he follows these steps.

Step 1: Selecting Data

The first step is to identify the specific data you will present to your audience.

The sales manager has highlighted these products for the presentation.

• Product A: Men’s Shoes
• Product B: Women’s Apparel
• Product C: Electronics
• Product D: Home Decor

Step 2: Choosing Orientation

Opt for a vertical layout for simplicity. Vertical bar charts help compare different categories in case there are not too many categories [1] . They can also help show different trends. A vertical bar chart is used where each bar represents one of the four chosen products. After plotting the data, it is seen that the height of each bar directly represents the sales performance of the respective product.

It is visible that the tallest bar (Electronics – Product C) is showing the highest sales. However, the shorter bars (Women’s Apparel – Product B and Home Decor – Product D) need attention. It indicates areas that require further analysis or strategies for improvement.

Step 3: Colorful Insights

Different colors are used to differentiate each product. It is essential to show a color-coded chart where the audience can distinguish between products.

• Men’s Shoes (Product A): Yellow
• Women’s Apparel (Product B): Orange
• Electronics (Product C): Violet
• Home Decor (Product D): Blue

Bar charts are straightforward and easily understandable for presenting data. They are versatile when comparing products or any categorical data [2] . Bar charts adapt seamlessly to retail scenarios. Despite that, bar charts have a few shortcomings. They cannot illustrate data trends over time. Besides, overloading the chart with numerous products can lead to visual clutter, diminishing its effectiveness.

For more information, check our collection of bar chart templates for PowerPoint .

Line graphs help illustrate data trends, progressions, or fluctuations by connecting a series of data points called ‘markers’ with straight line segments. This provides a straightforward representation of how values change [5] . Their versatility makes them invaluable for scenarios requiring a visual understanding of continuous data. In addition, line graphs are also useful for comparing multiple datasets over the same timeline. Using multiple line graphs allows us to compare more than one data set. They simplify complex information so the audience can quickly grasp the ups and downs of values. From tracking stock prices to analyzing experimental results, you can use line graphs to show how data changes over a continuous timeline. They show trends with simplicity and clarity.

Real-life Application of Line Graphs

To understand line graphs thoroughly, we will use a real case. Imagine you’re a financial analyst presenting a tech company’s monthly sales for a licensed product over the past year. Investors want insights into sales behavior by month, how market trends may have influenced sales performance and reception to the new pricing strategy. To present data via a line graph, you will complete these steps.

First, you need to gather the data. In this case, your data will be the sales numbers. For example:

• January: $45,000
• February: $55,000
• March: $45,000
• April: $60,000
• May: $ 70,000
• June: $65,000
• July: $62,000
• August: $68,000
• September: $81,000
• October: $76,000
• November: $87,000
• December: $91,000

After choosing the data, the next step is to select the orientation. Like bar charts, you can use vertical or horizontal line graphs. However, we want to keep this simple, so we will keep the timeline (x-axis) horizontal while the sales numbers (y-axis) vertical.

Step 3: Connecting Trends

After adding the data to your preferred software, you will plot a line graph. In the graph, each month’s sales are represented by data points connected by a line.

Step 4: Adding Clarity with Color

If there are multiple lines, you can also add colors to highlight each one, making it easier to follow.

Line graphs excel at visually presenting trends over time. These presentation aids identify patterns, like upward or downward trends. However, too many data points can clutter the graph, making it harder to interpret. Line graphs work best with continuous data but are not suitable for categories.

For more information, check our collection of line chart templates for PowerPoint and our article about how to make a presentation graph .

A data dashboard is a visual tool for analyzing information. Different graphs, charts, and tables are consolidated in a layout to showcase the information required to achieve one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs). You don’t make new visuals in the dashboard; instead, you use it to display visuals you’ve already made in worksheets [3] .

Keeping the number of visuals on a dashboard to three or four is recommended. Adding too many can make it hard to see the main points [4]. Dashboards can be used for business analytics to analyze sales, revenue, and marketing metrics at a time. They are also used in the manufacturing industry, as they allow users to grasp the entire production scenario at the moment while tracking the core KPIs for each line.

Real-Life Application of a Dashboard

Consider a project manager presenting a software development project’s progress to a tech company’s leadership team. He follows the following steps.

Step 1: Defining Key Metrics

To effectively communicate the project’s status, identify key metrics such as completion status, budget, and bug resolution rates. Then, choose measurable metrics aligned with project objectives.

Step 2: Choosing Visualization Widgets

After finalizing the data, presentation aids that align with each metric are selected. For this project, the project manager chooses a progress bar for the completion status and uses bar charts for budget allocation. Likewise, he implements line charts for bug resolution rates.

Step 3: Dashboard Layout

Key metrics are prominently placed in the dashboard for easy visibility, and the manager ensures that it appears clean and organized.

Dashboards provide a comprehensive view of key project metrics. Users can interact with data, customize views, and drill down for detailed analysis. However, creating an effective dashboard requires careful planning to avoid clutter. Besides, dashboards rely on the availability and accuracy of underlying data sources.

For more information, check our article on how to design a dashboard presentation , and discover our collection of dashboard PowerPoint templates .

Treemap charts represent hierarchical data structured in a series of nested rectangles [6] . As each branch of the ‘tree’ is given a rectangle, smaller tiles can be seen representing sub-branches, meaning elements on a lower hierarchical level than the parent rectangle. Each one of those rectangular nodes is built by representing an area proportional to the specified data dimension.

Treemaps are useful for visualizing large datasets in compact space. It is easy to identify patterns, such as which categories are dominant. Common applications of the treemap chart are seen in the IT industry, such as resource allocation, disk space management, website analytics, etc. Also, they can be used in multiple industries like healthcare data analysis, market share across different product categories, or even in finance to visualize portfolios.

Real-Life Application of a Treemap Chart

Let’s consider a financial scenario where a financial team wants to represent the budget allocation of a company. There is a hierarchy in the process, so it is helpful to use a treemap chart. In the chart, the top-level rectangle could represent the total budget, and it would be subdivided into smaller rectangles, each denoting a specific department. Further subdivisions within these smaller rectangles might represent individual projects or cost categories.

Step 1: Define Your Data Hierarchy

While presenting data on the budget allocation, start by outlining the hierarchical structure. The sequence will be like the overall budget at the top, followed by departments, projects within each department, and finally, individual cost categories for each project.

• Top-level rectangle: Total Budget
• Second-level rectangles: Departments (Engineering, Marketing, Sales)
• Third-level rectangles: Projects within each department
• Fourth-level rectangles: Cost categories for each project (Personnel, Marketing Expenses, Equipment)

Step 2: Choose a Suitable Tool

It’s time to select a data visualization tool supporting Treemaps. Popular choices include Tableau, Microsoft Power BI, PowerPoint, or even coding with libraries like D3.js. It is vital to ensure that the chosen tool provides customization options for colors, labels, and hierarchical structures.

Here, the team uses PowerPoint for this guide because of its user-friendly interface and robust Treemap capabilities.

Step 3: Make a Treemap Chart with PowerPoint

After opening the PowerPoint presentation, they chose “SmartArt” to form the chart. The SmartArt Graphic window has a “Hierarchy” category on the left.  Here, you will see multiple options. You can choose any layout that resembles a Treemap. The “Table Hierarchy” or “Organization Chart” options can be adapted. The team selects the Table Hierarchy as it looks close to a Treemap.

Step 5: Input Your Data

After that, a new window will open with a basic structure. They add the data one by one by clicking on the text boxes. They start with the top-level rectangle, representing the total budget.  

Step 6: Customize the Treemap

By clicking on each shape, they customize its color, size, and label. At the same time, they can adjust the font size, style, and color of labels by using the options in the “Format” tab in PowerPoint. Using different colors for each level enhances the visual difference.

Treemaps excel at illustrating hierarchical structures. These charts make it easy to understand relationships and dependencies. They efficiently use space, compactly displaying a large amount of data, reducing the need for excessive scrolling or navigation. Additionally, using colors enhances the understanding of data by representing different variables or categories.

In some cases, treemaps might become complex, especially with deep hierarchies.  It becomes challenging for some users to interpret the chart. At the same time, displaying detailed information within each rectangle might be constrained by space. It potentially limits the amount of data that can be shown clearly. Without proper labeling and color coding, there’s a risk of misinterpretation.

A heatmap is a data visualization tool that uses color coding to represent values across a two-dimensional surface. In these, colors replace numbers to indicate the magnitude of each cell. This color-shaded matrix display is valuable for summarizing and understanding data sets with a glance [7] . The intensity of the color corresponds to the value it represents, making it easy to identify patterns, trends, and variations in the data.

As a tool, heatmaps help businesses analyze website interactions, revealing user behavior patterns and preferences to enhance overall user experience. In addition, companies use heatmaps to assess content engagement, identifying popular sections and areas of improvement for more effective communication. They excel at highlighting patterns and trends in large datasets, making it easy to identify areas of interest.

We can implement heatmaps to express multiple data types, such as numerical values, percentages, or even categorical data. Heatmaps help us easily spot areas with lots of activity, making them helpful in figuring out clusters [8] . When making these maps, it is important to pick colors carefully. The colors need to show the differences between groups or levels of something. And it is good to use colors that people with colorblindness can easily see.

Check our detailed guide on how to create a heatmap here. Also discover our collection of heatmap PowerPoint templates .

Pie charts are circular statistical graphics divided into slices to illustrate numerical proportions. Each slice represents a proportionate part of the whole, making it easy to visualize the contribution of each component to the total.

The size of the pie charts is influenced by the value of data points within each pie. The total of all data points in a pie determines its size. The pie with the highest data points appears as the largest, whereas the others are proportionally smaller. However, you can present all pies of the same size if proportional representation is not required [9] . Sometimes, pie charts are difficult to read, or additional information is required. A variation of this tool can be used instead, known as the donut chart , which has the same structure but a blank center, creating a ring shape. Presenters can add extra information, and the ring shape helps to declutter the graph.

Pie charts are used in business to show percentage distribution, compare relative sizes of categories, or present straightforward data sets where visualizing ratios is essential.

Real-Life Application of Pie Charts

Consider a scenario where you want to represent the distribution of the data. Each slice of the pie chart would represent a different category, and the size of each slice would indicate the percentage of the total portion allocated to that category.

Step 1: Define Your Data Structure

Imagine you are presenting the distribution of a project budget among different expense categories.

• Column A: Expense Categories (Personnel, Equipment, Marketing, Miscellaneous)
• Column B: Budget Amounts ($40,000, $30,000, $20,000, $10,000) Column B represents the values of your categories in Column A.

Step 2: Insert a Pie Chart

Using any of the accessible tools, you can create a pie chart. The most convenient tools for forming a pie chart in a presentation are presentation tools such as PowerPoint or Google Slides.  You will notice that the pie chart assigns each expense category a percentage of the total budget by dividing it by the total budget.

For instance:

• Personnel: $40,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 40%
• Equipment: $30,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 30%
• Marketing: $20,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 20%
• Miscellaneous: $10,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 10%

You can make a chart out of this or just pull out the pie chart from the data.

3D pie charts and 3D donut charts are quite popular among the audience. They stand out as visual elements in any presentation slide, so let’s take a look at how our pie chart example would look in 3D pie chart format.

Step 03: Results Interpretation

The pie chart visually illustrates the distribution of the project budget among different expense categories. Personnel constitutes the largest portion at 40%, followed by equipment at 30%, marketing at 20%, and miscellaneous at 10%. This breakdown provides a clear overview of where the project funds are allocated, which helps in informed decision-making and resource management. It is evident that personnel are a significant investment, emphasizing their importance in the overall project budget.

Pie charts provide a straightforward way to represent proportions and percentages. They are easy to understand, even for individuals with limited data analysis experience. These charts work well for small datasets with a limited number of categories.

However, a pie chart can become cluttered and less effective in situations with many categories. Accurate interpretation may be challenging, especially when dealing with slight differences in slice sizes. In addition, these charts are static and do not effectively convey trends over time.

For more information, check our collection of pie chart templates for PowerPoint .

Histograms present the distribution of numerical variables. Unlike a bar chart that records each unique response separately, histograms organize numeric responses into bins and show the frequency of reactions within each bin [10] . The x-axis of a histogram shows the range of values for a numeric variable. At the same time, the y-axis indicates the relative frequencies (percentage of the total counts) for that range of values.

Whenever you want to understand the distribution of your data, check which values are more common, or identify outliers, histograms are your go-to. Think of them as a spotlight on the story your data is telling. A histogram can provide a quick and insightful overview if you’re curious about exam scores, sales figures, or any numerical data distribution.

Real-Life Application of a Histogram

In the histogram data analysis presentation example, imagine an instructor analyzing a class’s grades to identify the most common score range. A histogram could effectively display the distribution. It will show whether most students scored in the average range or if there are significant outliers.

Step 1: Gather Data

He begins by gathering the data. The scores of each student in class are gathered to analyze exam scores.

After arranging the scores in ascending order, bin ranges are set.

Step 2: Define Bins

Bins are like categories that group similar values. Think of them as buckets that organize your data. The presenter decides how wide each bin should be based on the range of the values. For instance, the instructor sets the bin ranges based on score intervals: 60-69, 70-79, 80-89, and 90-100.

Step 3: Count Frequency

Now, he counts how many data points fall into each bin. This step is crucial because it tells you how often specific ranges of values occur. The result is the frequency distribution, showing the occurrences of each group.

Here, the instructor counts the number of students in each category.

• 60-69: 1 student (Kate)
• 70-79: 4 students (David, Emma, Grace, Jack)
• 80-89: 7 students (Alice, Bob, Frank, Isabel, Liam, Mia, Noah)
• 90-100: 3 students (Clara, Henry, Olivia)

Step 4: Create the Histogram

It’s time to turn the data into a visual representation. Draw a bar for each bin on a graph. The width of the bar should correspond to the range of the bin, and the height should correspond to the frequency.  To make your histogram understandable, label the X and Y axes.

In this case, the X-axis should represent the bins (e.g., test score ranges), and the Y-axis represents the frequency.

The histogram of the class grades reveals insightful patterns in the distribution. Most students, with seven students, fall within the 80-89 score range. The histogram provides a clear visualization of the class’s performance. It showcases a concentration of grades in the upper-middle range with few outliers at both ends. This analysis helps in understanding the overall academic standing of the class. It also identifies the areas for potential improvement or recognition.

Thus, histograms provide a clear visual representation of data distribution. They are easy to interpret, even for those without a statistical background. They apply to various types of data, including continuous and discrete variables. One weak point is that histograms do not capture detailed patterns in students’ data, with seven compared to other visualization methods.

A scatter plot is a graphical representation of the relationship between two variables. It consists of individual data points on a two-dimensional plane. This plane plots one variable on the x-axis and the other on the y-axis. Each point represents a unique observation. It visualizes patterns, trends, or correlations between the two variables.

Scatter plots are also effective in revealing the strength and direction of relationships. They identify outliers and assess the overall distribution of data points. The points’ dispersion and clustering reflect the relationship’s nature, whether it is positive, negative, or lacks a discernible pattern. In business, scatter plots assess relationships between variables such as marketing cost and sales revenue. They help present data correlations and decision-making.

Real-Life Application of Scatter Plot

A group of scientists is conducting a study on the relationship between daily hours of screen time and sleep quality. After reviewing the data, they managed to create this table to help them build a scatter plot graph:

In the provided example, the x-axis represents Daily Hours of Screen Time, and the y-axis represents the Sleep Quality Rating.

The scientists observe a negative correlation between the amount of screen time and the quality of sleep. This is consistent with their hypothesis that blue light, especially before bedtime, has a significant impact on sleep quality and metabolic processes.

There are a few things to remember when using a scatter plot. Even when a scatter diagram indicates a relationship, it doesn’t mean one variable affects the other. A third factor can influence both variables. The more the plot resembles a straight line, the stronger the relationship is perceived [11] . If it suggests no ties, the observed pattern might be due to random fluctuations in data. When the scatter diagram depicts no correlation, whether the data might be stratified is worth considering.

Choosing the appropriate data presentation type is crucial when making a presentation . Understanding the nature of your data and the message you intend to convey will guide this selection process. For instance, when showcasing quantitative relationships, scatter plots become instrumental in revealing correlations between variables. If the focus is on emphasizing parts of a whole, pie charts offer a concise display of proportions. Histograms, on the other hand, prove valuable for illustrating distributions and frequency patterns. 

Bar charts provide a clear visual comparison of different categories. Likewise, line charts excel in showcasing trends over time, while tables are ideal for detailed data examination. Starting a presentation on data presentation types involves evaluating the specific information you want to communicate and selecting the format that aligns with your message. This ensures clarity and resonance with your audience from the beginning of your presentation.

1. Fact Sheet Dashboard for Data Presentation

Convey all the data you need to present in this one-pager format, an ideal solution tailored for users looking for presentation aids. Global maps, donut chats, column graphs, and text neatly arranged in a clean layout presented in light and dark themes.

Use This Template

2. 3D Column Chart Infographic PPT Template

Represent column charts in a highly visual 3D format with this PPT template. A creative way to present data, this template is entirely editable, and we can craft either a one-page infographic or a series of slides explaining what we intend to disclose point by point.

3. Data Circles Infographic PowerPoint Template

An alternative to the pie chart and donut chart diagrams, this template features a series of curved shapes with bubble callouts as ways of presenting data. Expand the information for each arch in the text placeholder areas.

4. Colorful Metrics Dashboard for Data Presentation

This versatile dashboard template helps us in the presentation of the data by offering several graphs and methods to convert numbers into graphics. Implement it for e-commerce projects, financial projections, project development, and more.

5. Animated Data Presentation Tools for PowerPoint & Google Slides

A slide deck filled with most of the tools mentioned in this article, from bar charts, column charts, treemap graphs, pie charts, histogram, etc. Animated effects make each slide look dynamic when sharing data with stakeholders.

6. Statistics Waffle Charts PPT Template for Data Presentations

This PPT template helps us how to present data beyond the typical pie chart representation. It is widely used for demographics, so it’s a great fit for marketing teams, data science professionals, HR personnel, and more.

7. Data Presentation Dashboard Template for Google Slides

A compendium of tools in dashboard format featuring line graphs, bar charts, column charts, and neatly arranged placeholder text areas. 

8. Weather Dashboard for Data Presentation

Share weather data for agricultural presentation topics, environmental studies, or any kind of presentation that requires a highly visual layout for weather forecasting on a single day. Two color themes are available.

9. Social Media Marketing Dashboard Data Presentation Template

Intended for marketing professionals, this dashboard template for data presentation is a tool for presenting data analytics from social media channels. Two slide layouts featuring line graphs and column charts.

10. Project Management Summary Dashboard Template

A tool crafted for project managers to deliver highly visual reports on a project’s completion, the profits it delivered for the company, and expenses/time required to execute it. 4 different color layouts are available.

11. Profit & Loss Dashboard for PowerPoint and Google Slides

A must-have for finance professionals. This typical profit & loss dashboard includes progress bars, donut charts, column charts, line graphs, and everything that’s required to deliver a comprehensive report about a company’s financial situation.

Overwhelming visuals

One of the mistakes related to using data-presenting methods is including too much data or using overly complex visualizations. They can confuse the audience and dilute the key message.

Inappropriate chart types

Choosing the wrong type of chart for the data at hand can lead to misinterpretation. For example, using a pie chart for data that doesn’t represent parts of a whole is not right.

Lack of context

Failing to provide context or sufficient labeling can make it challenging for the audience to understand the significance of the presented data.

Inconsistency in design

Using inconsistent design elements and color schemes across different visualizations can create confusion and visual disarray.

Failure to provide details

Simply presenting raw data without offering clear insights or takeaways can leave the audience without a meaningful conclusion.

Lack of focus

Not having a clear focus on the key message or main takeaway can result in a presentation that lacks a central theme.

Visual accessibility issues

Overlooking the visual accessibility of charts and graphs can exclude certain audience members who may have difficulty interpreting visual information.

In order to avoid these mistakes in data presentation, presenters can benefit from using presentation templates . These templates provide a structured framework. They ensure consistency, clarity, and an aesthetically pleasing design, enhancing data communication’s overall impact.

Understanding and choosing data presentation types are pivotal in effective communication. Each method serves a unique purpose, so selecting the appropriate one depends on the nature of the data and the message to be conveyed. The diverse array of presentation types offers versatility in visually representing information, from bar charts showing values to pie charts illustrating proportions. 

Using the proper method enhances clarity, engages the audience, and ensures that data sets are not just presented but comprehensively understood. By appreciating the strengths and limitations of different presentation types, communicators can tailor their approach to convey information accurately, developing a deeper connection between data and audience understanding.

[1] Government of Canada, S.C. (2021) 5 Data Visualization 5.2 Bar Chart , 5.2 Bar chart .  https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/bargraph-diagrammeabarres/5214818-eng.htm

[2] Kosslyn, S.M., 1989. Understanding charts and graphs. Applied cognitive psychology, 3(3), pp.185-225. https://apps.dtic.mil/sti/pdfs/ADA183409.pdf

[3] Creating a Dashboard . https://it.tufts.edu/book/export/html/1870

[4] https://www.goldenwestcollege.edu/research/data-and-more/data-dashboards/index.html

[5] https://www.mit.edu/course/21/21.guide/grf-line.htm

[6] Jadeja, M. and Shah, K., 2015, January. Tree-Map: A Visualization Tool for Large Data. In GSB@ SIGIR (pp. 9-13). https://ceur-ws.org/Vol-1393/gsb15proceedings.pdf#page=15

[7] Heat Maps and Quilt Plots. https://www.publichealth.columbia.edu/research/population-health-methods/heat-maps-and-quilt-plots

[8] EIU QGIS WORKSHOP. https://www.eiu.edu/qgisworkshop/heatmaps.php

[9] About Pie Charts.  https://www.mit.edu/~mbarker/formula1/f1help/11-ch-c8.htm

[10] Histograms. https://sites.utexas.edu/sos/guided/descriptive/numericaldd/descriptiven2/histogram/ [11] https://asq.org/quality-resources/scatter-diagram

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• Presentation Tips

How to Present Data Effectively

You’re sitting in front of your computer and ready to put together a presentation involving data.   The numbers stare at you from your screen, jumbled and raw.   How do you start?   Numbers on their own can be difficult to digest. Without any context, they’re just that—numbers.   But organize them well and they tell a story.   In this blog post, we’ll go into the importance of structuring data in a presentation and provide tips on how to do it well. These tips are practical and applicable for all sorts of presentations—from marketing plans and medical breakthroughs to project proposals and portfolios. 

What is data presentation?

3 essential tips on data presentation, use the right chart, keep it simple, use text wisely and sparingly.

In many ways, data presentation is like storytelling—only you do them with a series of graphs and charts.  One of the most common mistakes presenters make is being so submerged in the data that they fail to view it from an outsider’s point of view.   Always keep this in mind: What makes sense to you may not make sense to your audience. To portray figures and statistics in a way that’s comprehensible to your viewers, step back, put yourself in their shoes, and consider the following: 

• How much do they know about the topic?
• How much information will they need?
• What data will impress them?

Providing a context helps your audience visualize and understand the numbers. To help you achieve that, here are three tips on how to represent data effectively.  

Whether you’re using Google Slides or PowerPoint, both come equipped with a range of design tools that help you help your viewers make sense of your qualitative data.  The key here is to know how to use them and how to use them well. In these tips, we’ll cover the basics of data presentation that are often overlooked but also go beyond basics for more professional advice. 

The downside of having too many tools at your disposal is that it makes selecting an uphill task.   Pie and bar charts are by far the most commonly used methods as they are versatile and easy to understand. 

If you’re looking to kick things up a notch, think outside the box. When the numbers allow for it, opt for something different. For example, donut charts can sometimes be used to execute the same effect as pie charts. 

But these conventional graphs and charts aren’t applicable to all types of data. For example, if you’re comparing numerous variables and factors, a bar chart would do no good. A table, on the other hand, offers a much cleaner look.

Pro tip : If you want to go beyond basics, create your own shapes and use their sizes to reflect proportion, as seen in this next image.

Their sizes don’t have to be an exact reflection of their proportions. What’s important here is that they’re discernible and are of the same shape so that your viewers can grasp its concept at first glance.  Note that this should only be used for comparisons with large enough contrasts. For instance, it’d be difficult to use this to compare two market sizes of 25 percent and 26 percent. 

When it comes to making qualitative data digestible, simplicity does the trick.  Limit the number of elements on the slide as much as possible and provide only the bare essentials. 

See how simple this slide is? In one glance, your eye immediately goes to the percentages of the donut because there are no text boxes, illustrations, graphics, etc. to distract you.  Sometimes, more context is needed for your numbers to make sense. In the spirit of keeping your slides neat, you may be tempted to spread the data across two slides. But that makes it complicated, so putting it all on one slide is your only option.  In such cases, our mantra of “keep it simple” still applies. The trick lies in neat positioning and clever formatting.  

In the above slides, we’ve used boxes to highlight supporting figures while giving enough attention to the main chart. This separates them visually and helps the audience focus better.  With the slide already pretty full, it’s crucial to use a plain background or risk overwhelming your viewers.  

Last but certainly not least, our final tip involves the use of text.  Just because you’re telling a story with numbers doesn’t mean text cannot be used. In fact, the contrary proves true: Text plays a vital role in data presentation and should be used strategically.  To highlight a particular statistic, do not hesitate to go all out and have that be the focal point of your slide for emphasis. Keep text to a minimum and as a supporting element. 

Make sure your numbers are formatted clearly. Large figures should have thousands separated with commas. For example, 4,498,300,000 makes for a much easier read than “4498300000”. Any corresponding units should also be clear.  With data presentation, don’t forget that numbers are still your protagonist, so they must be highlighted with a larger or bolder font.  Where there are numbers and graphics, space is scarce so every single word must be chosen wisely.   The key here is to ensure your viewers understand what your data represents in one glance but to leave it sufficiently vague, like a teaser, so that they pay attention to your speech for more information.  → Slidesgo’s free presentation templates come included with specially designed and created charts and graphs that you can easily personalize according to your data. Give them a try now! 

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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

While a good presentation has data, data alone doesn’t guarantee a good presentation. It’s all about how that data is presented. The quickest way to confuse your audience is by sharing too many details at once. The only data points you should share are those that significantly support your point — and ideally, one point per chart. To avoid the debacle of sheepishly translating hard-to-see numbers and labels, rehearse your presentation with colleagues sitting as far away as the actual audience would. While you’ve been working with the same chart for weeks or months, your audience will be exposed to it for mere seconds. Give them the best chance of comprehending your data by using simple, clear, and complete language to identify X and Y axes, pie pieces, bars, and other diagrammatic elements. Try to avoid abbreviations that aren’t obvious, and don’t assume labeled components on one slide will be remembered on subsequent slides. Every valuable chart or pie graph has an “Aha!” zone — a number or range of data that reveals something crucial to your point. Make sure you visually highlight the “Aha!” zone, reinforcing the moment by explaining it to your audience.

With so many ways to spin and distort information these days, a presentation needs to do more than simply share great ideas — it needs to support those ideas with credible data. That’s true whether you’re an executive pitching new business clients, a vendor selling her services, or a CEO making a case for change.

• JS Joel Schwartzberg oversees executive communications for a major national nonprofit, is a professional presentation coach, and is the author of Get to the Point! Sharpen Your Message and Make Your Words Matter and The Language of Leadership: How to Engage and Inspire Your Team . You can find him on LinkedIn and X. TheJoelTruth

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Creative Ways To Present Data In PowerPoint That Engage Audiences

Table of contents.

There’s no shortage of creative ways to engage your audience when presenting data. It’s easy to slap numbers into a bar graph, present the information and call it a day! But will that have the desired impact on those you are presenting to?

In this article we are going to explore the options you have available to you using PowerPoint templates, what creativity can bring to the mix with regard to data presentation, and our recommendations on the next steps you should take if you need a presentation that is data heavy.

Always Understand Your Target Audience

Before you start constructing your presentation, ask yourself – how well do I know the audience I am presenting to? This understanding is critical as you want to produce a presentation that they will connect with. A financial analyst will consume data differently than a sales professional. You need to present data the way the room will connect with it best.

What Options Do You Have When Presenting Data In PowerPoint?

There’s  no shortage of options when creating a PowerPoint presentation  that will be showcasing numbers, PowerPoint has a wealth of charts and diagrams you can insert. 

You need to consider your options for the type of data that you will be presenting, so your point gets across. By knowing your audience and the type of data you want to use in your presentation, you are well on your way to selecting the right format in which to present it in. Below are a few common options PowerPoint offers:

Let’s start with a classic, charts! Charts come in many forms that are available to you. Read on as we explore the best DIY options you have to present your data in PowerPoint.

Line Charts

Line charts, everybody has seen a line chart! However, this always begs the question – are they overused? It’s hardly the sexiest way of displaying data, but it’s a clear and easy way of displaying trends. Up is positive, and down is negative. It certain instances, this is just what the doctor ordered.

Column Charts

Ah, column charts. Not to be confused with its older sibling the bar chart. Again, it’s a way of displaying data that is frequently used as it’s easy to digest and displays the data cleanly . It really doesn’t leave much to the imagination.

Pie charts are great, I mean who doesn’t love a good pie…chart? Ideal for segmenting items into a visual format. It’s typically a breeze to identify opportunities using a good old-fashioned pie chart.

Bubble Charts

Bubble charts are a brilliant way for you to highlight the distribution of data. Arguably one of the more visually appealing stock formats to display information available in PowerPoint.

Indicators, a simple and effective way of showing information through progression, targets that need to be met or showing a focus on where you want your company to be in the future.

Venn Diagrams

We love Venn diagrams for how simple but effective they are for displaying information like similarities, differences and the cross-overs between all the information. A simple, yet effective way to showcase your information and keep your audience’s focus on the detail that matter.

Use an area map if you want to put your information into the real world for your audience to engage with. Do you have locations you need to present? Any geography that would be beneficial for your presentation? This is where we recommend area maps as an interesting way of presenting data in PowerPoint.

Venturing Beyond PowerPoints Stock Features

The reason we wanted to lead you through the world of PowerPoint options is to highlight its versatility. Heck, we didn’t even cover them all off. With that being said, i t can take a significant amount of time to gain the experience you need just to work with the options everyone has available to them.

However, when you really want to make some noise, you need to venture outside what is available to EVERYONE and craft something unique . Check out below the difference that custom graphic design can make.

Here's One We Made Earlier For Dynamic Funds

Don't Be Afraid To Mix It Up. Think Outside The Spreadsheet!

It’s quite popular at the moment in PowerPoint design to mix up how you present data. Don’t feel restricted to a single format. Instead, perhaps use two different types of data presentation on one slide. It will make the data more attractive and interesting to the audience. For example, try using a bar chart on the left and a pie chart for different data on the right. Mixing and matching different styles is engaging.

Incorporate Motion Graphics

You can’t overstate the importance of movement in today’s presentation arena. We are inundated on a daily basis with motion and movements, from social media to streaming services everywhere. Knowing this, displaying a static chart on your next presentation could leave your audience not as captivated as they shoud be. It’s a simple solution, but adding motion graphics and animation to existing data can elevate your professionalism and “wow-factor.”

Check out a quick data visualization animation we created from a 2D static line graph.

Brand Consistency Is Key

It’s easy to get overly excited about your presentation and load it up with more information, graphs and pictures than you need. This is where your talking comes in handy, as we recommend that you display your data in a way that is easy for your audience to process through your unique style while talking about your information as you present. Keep your colours, fonts and graphs consistent throughout your entire presentation.

The financial industry understands the importance of data, figures, and graphs. Although a financial audience may be very savvy, it’s still important to present data in a powerful and meaningful way.

Here’s a great example of consistency that we created for ING Financial.

Only Draw Attention To Key Data Points

Stay focused, your presentation doesn’t need to contain every number you have in your database. Your slides are there to contain key information that supports the point you are there to make. It’s understandable that in certain situations a little more will be required, but on the whole, keep it simple. A crowded slide is an ineffective one. After all, you are there to tell the story , the presentation is your supporting act.

Overlay Data On Top Of Images

It’s incredibly simple, yet incredibly effective. A little creativity can go a long when it comes to bringing your point to life on the screen. Engaging presentations that contain financial information often contain an image or a video to provide context. Placing data over the top of an image that it represents helps to humanize it . Your audience makes the logical connection with the point you are trying to make as you’ve removed barriers. Check our the presentation we created for Brandpoint that did just that!

Creative Ways To Present Data In PowerPoint - Our Key Takeaways

Customized presentations are key when you want to connect with your audience. Investing time in learning PowerPoint, or any other presentation software is only going to get you so far. Usually, the time invested isn’t worth the product you get, if you do it alone. Your audience is savvy, they can tell how seriously you take yourself by what you present them.

It’s true, not all data needs to be over complicated and sometimes a simple chart is enough. However, consistency, intent, and sublime execution is noticeable. An investment in your sales/marketing/ financial presentation is an investment in you or your business and makes all the difference.

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We are Presentation Geeks, PowerPoint design specialists. We geek out about all things when it comes to presentations. Let’s connect and explore how our powerpoint presentation design services can cater to your specific industry that will blow your audience away.

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How to Present Data in PowerPoint

PowerPoint has become an essential tool for anyone looking to present data in a clear and engaging way. But it’s not just about throwing numbers onto a slide and hoping for the best. Effective data presentation is a skill that takes practice and careful consideration to master. In this article, we’ll take you through everything you need to know about presenting data in PowerPoint, from understanding your audience to designing engaging slides and everything in between.

Table of Contents

Why Effective Data Presentation is Important in PowerPoint

Before we dive into the nuts and bolts of PowerPoint data presentations, let’s take a moment to understand why it’s so important. The main goal of any data presentation is to deliver information in a clear, concise way that engages your audience and helps them understand the significance of the data. This isn’t always easy – data can be complex, and if not presented effectively, it can lead to confusion, boredom, or even worse – disengagement.

By mastering the art of data presentation in PowerPoint, you can ensure that you’re delivering information in a way that your audience will respond to positively. This not only helps build credibility with your audience, but it can also be the difference between your message being heard and remembered, or ignored and forgotten.

Understanding Your Audience: Tailoring Your Data for Maximum Impact

One of the most important aspects of presenting data in PowerPoint is understanding your audience. Before you begin designing your presentation, take some time to think about who will be viewing it, and what their needs and expectations are.

For example, if you’re presenting to a group of executives, they’re likely to be interested in high-level, big-picture data that shows the overall direction of the company. Conversely, if you’re presenting to a team of analysts, they’ll be looking for more granular data that they can use to make specific decisions or recommendations.

By understanding your audience, you can tailor your data and presentation style to make the biggest impact. This might involve using different chart types, adjusting your tone of voice, or changing your visual style to better connect with your audience.

Choosing the Right PowerPoint Template for Your Data Presentation

The first step in designing an effective PowerPoint data presentation is choosing the right template. With so many options to choose from, it can be overwhelming to know where to start. Here are a few things to keep in mind when choosing a template:

• Consider your brand: Your presentation should reflect your brand’s visual identity, so look for templates that align with your brand standards.
• Simplicity is key: You want your data to be the star of the show, so avoid templates that are busy or overly complicated.
• Think about your audience: Consider the preferences and expectations of your audience when choosing a template. For example, if you’re presenting to a creative team, a more visually engaging template might be appropriate.

Ultimately, the goal of your template is to provide a clean, consistent backdrop for your data and visualizations to shine.

Top Tips for Designing Engaging PowerPoint Slides

Once you’ve chosen your template, it’s time to start designing your PowerPoint slides. Here are some tips to keep in mind:

• Use clear, legible fonts: Your data won’t be effective if it can’t be read, so choose fonts that are easy to read on-screen.
• Keep it simple: Avoid cluttering your slides with unnecessary bells and whistles. Your audience should be able to focus on your data without being distracted by overly complicated design elements.
• Use visuals to support your data: Visuals like charts, graphs, and images can help illustrate your data in a more engaging way than text alone.
• Be consistent: Use consistent formatting and design elements throughout your presentation to create a cohesive look and feel.

Remember, the goal of your PowerPoint slides is to support your data, not distract from it. Keep things simple and clear, and let your data do the talking.

Using Color and Contrast to Make Your Data Pop

Another important design consideration when presenting data in PowerPoint is color and contrast. These elements can help draw attention to key pieces of data and make your presentation more visually engaging.

Here are some tips for using color and contrast effectively:

• Use contrasting colors to highlight key data points: For example, you might use a bright color for a data point that demonstrates a significant change or achievement.
• Stick to a consistent color palette: Using too many colors can be distracting. Stick to a consistent color palette throughout your presentation to create a cohesive look and feel.
• Use color to create visual hierarchy: By using color to differentiate between headings, subheadings, and body text, you can create a visual hierarchy that guides your audience’s attention and helps them navigate the presentation more easily.

Remember, the goal of your use of color and contrast is to make your data more engaging and to help your audience understand its significance in a more visual way.

How to Choose the Right Chart Type for Your Data

When presenting data in PowerPoint, choosing the right chart type is essential. Different chart types are better suited for different types of data, so it’s important to choose one that accurately represents the story you’re trying to tell.

Here are some common chart types and when they might be appropriate:

• Line charts: Line charts are great for showing trends over time or for comparing multiple data sets.
• Pie charts: Pie charts are useful for showing how a whole entity is divided into different parts.
• Bar charts: Bar charts are ideal for comparing different entities or for showing changes in data over time.
• Scatter plots: Scatter plots are helpful for showing the relationship between two variables.

By choosing the right chart type, you can help your audience better understand the story your data is telling.

Creating Clear and Concise Labels and Titles

When presenting data in PowerPoint, it’s essential to use clear and concise labels and titles. This not only makes your data easier to read and understand, but it also helps your audience quickly identify the most important points in your presentation.

Here are some tips for creating effective labels and titles:

• Make it clear: Use labels and titles that accurately reflect the data you’re presenting.
• Keep it concise: Avoid long titles or labels that take up too much space and distract from your data.
• Be consistent: Use a consistent format for all of your labels and titles throughout the presentation to create a cohesive look and feel.

By creating clear and concise labels and titles, you can help guide your audience through your presentation more effectively.

Adding Animation and Transitions for a Professional Touch

Animation and transitions can be a great way to add a professional touch to your PowerPoint data presentation. However, it’s important to use them sparingly – too much animation can be distracting and take away from the data itself.

Here are some tips for using animation and transitions effectively:

• Keep it simple: Use subtle animations and transitions that enhance your data, rather than detracting from it.
• Use animation to highlight key data points: For example, you might use animation to draw attention to a particularly important data point or to show the progression of data over time.
• Be consistent: Use a consistent set of animations and transitions throughout your presentation for a cohesive look and feel.

By using animation and transitions effectively, you can make your data presentation more engaging and dynamic.

Presenting Your Data with Confidence: Tips for Public Speaking in PowerPoint

Finally, it’s important to remember that presenting data in PowerPoint is not just about the slides – it’s also about your delivery as a speaker. Here are some tips for presenting your data with confidence:

• Practice, practice, practice: The more familiar you are with your data and presentation, the more confident you’ll be when it’s time to present.
• Engage with your audience: Make eye contact, use positive body language, and speak clearly and confidently to keep your audience engaged.
• Use data to support your arguments: Use your data as evidence to support the points you’re making, rather than relying solely on your own opinions.

By following these tips, you can deliver a confident, engaging presentation that will leave a lasting impression on your audience.

Common Mistakes to Avoid When Presenting Data in PowerPoint

Now that we’ve covered some best practices for presenting data in PowerPoint, let’s take a look at some common mistakes to avoid:

• Cluttered slides: Too much information on a slide can be overwhelming and make it difficult for your audience to understand what’s important.
• Overly complicated charts: Choose charts that accurately represent your data, but avoid charts that are too complex or difficult to read.
• Too much text: Use visuals to support your data, and limit the amount of text on each slide to keep your audience engaged.

By avoiding these mistakes, you can ensure that your data presentation is engaging, clear, and effective.

Best Practices for Saving and Sharing Your PowerPoint Presentation

Once you’ve put the finishing touches on your PowerPoint data presentation, it’s important to make sure it’s saved and shared correctly. Here are some best practices to keep in mind:

• Save often: Make sure you save your presentation regularly to avoid losing any work.
• Compress images and videos: Large images and videos can make your presentation file size very large. To avoid this, compress any images or videos you include in your presentation.
• Save in different formats: Depending on who you’ll be sharing your presentation with, you may want to save it in different formats, such as PDF or JPEG.

By following these best practices, you can ensure that your presentation is saved and shared safely and effectively.

Creative Ways to Present Complex Data in PowerPoint

Presenting complex data in PowerPoint can be a challenge, but there are creative ways to make it more engaging. Here are some ideas:

• Use infographics: Infographics can be a great way to make complex data more visually engaging and easy to understand.
• Use animations and transitions: Animations and transitions can help break down complex data into more digestible chunks.
• Use storytelling: Telling a story with your data can help it feel more relatable and engaging.

By using creative techniques like these, you can make even the most complex data more engaging and approachable.

How to Use Infographics and Visuals to Enhance Your Data Presentation in PowerPoint

Finally, let’s take a closer look at the ways you can use infographics and visuals to enhance your PowerPoint data presentation. Here are some tips:

• Use icons to illustrate points: Icons can help illustrate complex points in a simple, engaging way.
• Use diagrams and flowcharts: Diagrams and flowcharts can help illustrate processes or systems more clearly than text alone.
• Use images and videos: Images and videos can help bring your data to life and make it more engaging and relatable.

By using visuals strategically, you can create a PowerPoint data presentation that is both informative and engaging.

Resources for Further Learning on Presenting Data in PowerPoint

If you’re interested in learning more about presenting data in PowerPoint, there are many resources available to help you improve your skills. Here are a few to get you started:

• Microsoft’s PowerPoint training center: Offers courses and tutorials on presenting data in PowerPoint.
• Lynda.com: Offers a wide variety of courses on PowerPoint data presentation.
• Data Presentation Tips: A blog devoted to tips and techniques for presenting data in a way that is engaging and effective.

By taking advantage of these resources and continuing to refine your skills, you can become a master of presenting data in PowerPoint.

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From Data to Insights: Data Visualization in PowerPoint

In the age of information, data is abundant. Whether you’re a business professional, a researcher, or a student, you often need to convey complex data in a clear and understandable manner. This is where the art of data visualization comes into play. Data visualization in PowerPoint can transform raw numbers into meaningful insights that resonate with your audience. In this blog post, we’ll explore the importance of data visualization and how to effectively use it in your PowerPoint presentations.

Why Data Visualization Matters

Data visualization is the practice of representing data through charts, graphs, and other visual elements. It’s an essential tool for turning data into insights for several reasons:

• Clarity : Visualizing data makes it easier to understand and interpret. A well-designed chart or graph can convey complex information more effectively than a table of numbers.
• Engagement : Visuals capture and hold your audience’s attention. They make your presentation more engaging and memorable.
• Storytelling : Data visualization helps you tell a story with your data. You can highlight trends, correlations, and outliers, providing a compelling narrative.

Choosing the Right Visualization

The first step in data visualization is selecting the right type of chart or graph for your data. PowerPoint provides various options, including:

• Bar charts : Great for comparing data across categories.
• Line charts : Ideal for showing trends over time.
• Pie charts : Useful for illustrating parts of a whole.
• Scatter plots : Good for showing relationships between two variables.
• Heat maps : Effective for displaying patterns and variations.

Choose the visualization method that best conveys your data’s message. Remember, not every data point needs a visualization; only use visuals for the most crucial information.

Design Principles for Effective Data Visualization

Creating impactful data visualizations in PowerPoint requires adherence to some design principles:

• Simplicity : Keep your visuals clean and uncluttered. Remove unnecessary elements that don’t contribute to the message.
• Consistency : Maintain a consistent color scheme and style throughout your presentation. This creates a cohesive look and reinforces your brand.
• Labeling : Always label your axes, data points, and any significant features. Clarity is essential to understanding the data.
• Color : Use color purposefully. Avoid using too many colors, as it can confuse the audience. Ensure your color choices are accessible for all viewers, including those with color vision deficiencies.
• Legibility : Ensure your text is readable, even when projected. Use a legible font size and style, and contrast your text with the background.

Telling a Data-Driven Story

Data visualization should be an integral part of your presentation’s narrative. Here’s how you can incorporate it effectively:

• Start with a Hook : Begin your presentation with an engaging data visualization that teases your main findings or insights.
• Contextualize : Provide context for your data. Explain what the numbers represent and why they matter.
• Use Data as Evidence : Use data to support your arguments and claims. Visuals make your case more compelling.
• Highlight Key Points : Emphasize the most critical data points using visual cues like color, size, or annotations.
• Summarize and Conclude : End your presentation with a summary visualization that highlights your main insights and conclusions.

Data visualization in PowerPoint is a powerful tool for turning raw data into actionable insights. By choosing the right visualization methods and following design principles, you can create engaging, informative, and persuasive presentations. Remember that the goal is not just to present data but to provide your audience with the tools they need to understand, interpret, and act on that data. So, from your next PowerPoint presentation onward, make data your ally in delivering impactful insights to your audience.

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Insert and update Excel data in PowerPoint

If you are using a newer version of PowerPoint, you can link data from a saved Excel worksheet to your PowerPoint presentation. That way, if data in the worksheet changes, you can easily update it in your PowerPoint presentation.

Link an entire Excel worksheet to PowerPoint

In PowerPoint, on the Insert tab, click or tap Object .

In the Insert Object dialog box, select Create from file .

Click or tap Browse , and in the Browse box, find the Excel workbook with the data you want to insert and link to.

Before you close the Insert Object box, select Link , and click OK .

Important:  The linked object in your presentation displays all the data from the active, top worksheet in the linked Excel workbook. When you save the Excel workbook, make sure the worksheet you want in your presentation is the one you see when you first open the workbook.

Link a section of data in Excel to PowerPoint

In Excel, open the saved workbook with the data you want to insert and link to.

Drag over the area of data you want to link to in PowerPoint, and on the Home tab, click or tap Copy .

In PowerPoint, click the slide where you want to paste the copied worksheet data.

On the Home tab, click the arrow below Paste , and select Paste Special .

In the Paste Special box, click Paste link , and then, under As , select Microsoft Excel Worksheet Object .

Update linked Excel data in PowerPoint

After you've used one of the methods described above to insert linked Excel data into a presentation, then refreshing the presentation to stay up to date with data changes is easy to do: 

In PowerPoint, right-click the data and select Update Link .

Copy and paste (unlinked) Excel data in PowerPoint

In this case, the Excel data will not be linked to your PowerPointpresentation. You copy the data from an Excel worksheet and paste it into your presentation. The worksheet does not send automatic updates to PowerPoint.

In Excel, open the workbook with the data you want to copy.

Drag over the area of data you want to copy, and on the Home tab, click or tap Copy .

On the Home tab, in the Clipboard group, click the arrow below Paste .

Under Paste Options , pick one of the following. Move the mouse pointer over each Paste option to see a preview of what it would look like.

Copy an Excel chart to another Office program

Mail merge in PowerPoint

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Content of this Powerpoint Presentation

Slide 1 : This slide introduces Big Data PPT- What is BIG DATA. State Your Company Name and get started. Slide 2 : This is an Agenda slide. State your agendas here. Slide 3 : This slide presents What is Big Data with its definition.  Slide 4 : This slide presents Big Data Facts- How Big is Big Data in tabled list form. Slide 5 : This slide also presents How Big is Big Data with examples such as- Products ordered per second, Data sent and received by mobile internet users, Tweets per day, Total minutes spent on facebook each month, Number Of Emails Sent Every Second, Data consumed by households each day, Data per day processed by google, Video upload to youtube every minute. Slide 6 : This slide presents Big Data Market Forecast for a particular duration (years/months) to be assessed. Slide 7 : This slide presents Sources of Big Data with the following points- Images & Media, Sensors, Click Stream, Social Network, Html, Email, Locations, Database. Slide 8 : This slide also showcases Sources of Big Data with the following points- Media: Media and communication outlets (articles, podcasts, audio, video, email, blogs) Social: Digital material created by social media (text, photos, videos, tweets) Machine: Data generated by computers and machines generally without human intervention (business process logs, sensors, phone calls) Historical: Data about our environment (weather, traffic, census) and archived documents, forms or records Slide 9 : This slide shows 3 Vs of Big Data- Volume: Terabytes, Records, Transactions, Tables, files. Variety: Batch, Near Time, Semistructured, Streams. Velocity: Structured, Unstructured, Semistructured. Slide 10 : This slide presents 5 Vs of Big Data. They are- Volume, Velocity, Variety, Veracity, Value. Slide 11 : This slide presents Small Data Vs Big Data. SMALL DATA (Low volumes, Batch velocities, Structured varieties) BIG DATA (Into petabyte volumes, Real-time velocities, Multistructured varieties). Slide 12 : This slide presents Objective of Big Data such as- Analyzing customer behavior, Combining multiple data sources, Improving customer service, Generate additional revenue, Be more responsive to the market. Slide 13 : This slide presents Big Data Technologies with the following points- Big Data Technologies, Crowd sourcing, Data fusion, Data integration, Machine learning, Simulation, Genetic algorithm, Natural language processing, Signal processing, Time series. Slide 14 : This slide showcases Big Data Workflow with the following content- Big Data, Email, Click Stream, Html, Social, Location, Database, Sensor Data, Images, Actionable intelligence. Slide 15 : This slide presents Four Phases of Big Data. The listed ones are- Deposit, Discover, Design, Decide. Slide 16 : This slide shows Forms/Type of Big Data in- Unstructured: Data that does not reside in fixed locations generally refers to free-form text, which is ubiquitous. Structured: Data that resides in fixed fields within a record or file. Semi-Structured: Between the tow forms where “tags” or “structure” are associated or embedded within unstructured data. Slide 17 : This slide presents Data Analytics Process with the following subheadings- Decision, Data, Insight, Info. Slide 18 : This slide presents Impact of Big Data with the following points- How Is Big Data? Sports predictions, Easier commutes, Smartphones, Personalized advertising, Presidential campaigns, Advanced healthcare. Slide 19 : This slide presents Impact of Big Data in the following sectors- Healthcare, Science, Security, Business. Slide 20 : This slide showcases Benefits of Big Data such as- Better business decision making, Improved customer experience and engagement, Achieved financial savings, Increased efficiency. Slide 21 : This slide states Future of Big Data to be shown. Slide 22 : This slide presents Big Data Opportunities and Challenges. State them here. Slide 23 : This slide presents Big Data Opportunities and Challenges such as- Lack of sufficiently skilled IT staff & cost of technology, Managing data quality, Data integration. Slide 24 : This slide is titled Additional Slides to move forward. You can change/alter the slide content as per need.  Slide 25 : This is Our Mission slide. State company mission here. Slide 26 : This is Our Team slide with name, designation and image boxes. Slide 27 : This is an About Us slide. State team/company specifications here. Slide 28 : This Our Goal slide. State goals etc. here. Slide 29 : This is a Comparison slide for comparing entities/products etc. here. Slide 30 : This is a Financial score slide. State financial aspects etc. here. Slide 31 : This is a Quotes slide to convey company messages, beliefs etc. You can change the slide contents as per need. Slide 32 : This is a Dashboard slide to state metrics, kpis etc. Slide 33 : This is a Location slide of world map image to show global presence, growth etc. Slide 34 : This is a Timeline slide to show evolution, growth, milestones etc. Slide 35 : This is a Post It slide to mark events, important information etc. Slide 36 : This is a Newspaper slide to show news, events etc. You can change the slide contents as per need. Slide 37 : This is a Puzzle image slide to show information, specifications etc. Slide 38 : This is a Target image slide. State targets, etc. here. Slide 39 : This is a Circular image slide to show information, specifications etc. Slide 40 : This is a Venn diagram image slide to show information, specifications etc. Slide 41 : This is a Mind map image slide to show information, specifications etc. Slide 42 : This is a Matrix slide to show information, specifications etc. Slide 43 : This is a Lego image slide to show information, specifications etc. Slide 44 : This is a Silhouettes image slide to show information, specifications etc. Slide 45 : This is a Hierarchy image slide to show information, specifications etc. Slide 46 : This is a Bulb/Idea image slide to show information, specifications, innovative aspects etc. Slide 47 : This is a Magnifying glass image slide to show information, specifications etc. Slide 48 : This is a Bar Graph image slide to show product/entity comparison, information etc. Slide 49 : This is a Funnel image slide to show information, specifications etc. Slide 50 : This is a Thank You slide with Address# street number, city, state, Contact Numbers, Email Address.

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June 7, 2021

by Demetrius Boyd

June 6, 2021

6 ways AI and big data are transforming the auto industry

T he automotive industry is shifting gears, accelerating into the future as new technologies push the boundaries of efficiency, sustainability, and safety.

The next phase is already here—the integration of artificial intelligence (AI) and big data within every facet of the industry. From the factory floor to the driving experience itself, AI and big data are fuelling safer, more efficient, and more intelligent vehicles, as well as better manufacturing and maintenance processes.

Here are six exciting ways AI and big data are reshaping the automotive landscape.

• Predict the future

Every car owner understands the value of regular oil changes and brake inspections, in the hopes of staving off more costly maintenance down the road. Now, big data and AI are turbocharging proactive vehicle health.

Enter: predictive maintenance.

Predictive maintenance gives dealerships the ability to monitor vehicle performance data remotely and continuously. Integrated in-car sensors collect data on the health of any given car, and leverage AI and big data analytics to assess issues in real time, keeping dealerships and drivers updated on what’s going on under the hood. Dealers can be automatically alerted to potential or ongoing issues in any given vehicle and can reach out and offer maintenance proactively—before a car deteriorates or even breaks down.

A related practice is preventative maintenance, wherein computer vision systems powered by AI are used to detect issues that would go unnoticed by the human eye, preventing them from getting worse and damaging the vehicle further.

Fleet management will particularly benefit from such maintenance technologies. By proactively identifying issues like failing components, worn-out tires, or fluid leaks, companies can know what issues to look for across the entire fleet and schedule repairs in advance, saving considerable amounts of money and frustration along the way. Commercial fleets from taxis to delivery trucks to busses can minimize downtime and disruptions, ensuring that packages (and people) are delivered on time.

• Eco-friendly roads

Emissions alone are not the only environmental impact of cars. It can take up to 151 cubic meters of water to manufacture a single vehicle and 11 million cars annually are taken out of circulation in Europe alone, representing as many metric tons of waste.

Big data analytics allow automakers to optimize vehicle design and manufacturing with a focus on sustainability. Data analytics on the most efficient and environmentally friendly materials and assembly processes will allow manufacturers to ensure that every vehicle has been made with the smallest environmental footprint possible. Manufacturers can also anticipate demand fluctuations more accurately, reducing waste by minimizing excess inventory.

By streamlining logistics and maximizing efficiency in manufacturing, automakers can also ensure they’re getting the right parts from the right places. Eliminating surplus and reducing the number of scrapped parts will not only save time and money but will create a more sustainable automotive manufacturing process.

Beyond the assembly line, AI enables driving simulations for any given model or design, allowing manufacturers to engineer vehicles for improved fuel efficiency and reduced emissions.

AI can also track and analyze data throughout a vehicle’s lifecycle and facilitate sustainable management even after a car has run its course. AI algorithms designed to understand vehicle health, from production to end-of-life, can identify opportunities for component reuse and recycling, optimizing resources, maximizing the recovery of valuable materials, and reducing environmental impact. These insights can also be integrated into future models, enabling manufacturers to create vehicles designed for easier disassembly and recyclability.

• Safety in autonomous driving

The development of autonomous vehicles (AVs) is fuelled by AI and big data. These powerful tools enable AVs to view and navigate their surroundings unmanned, through sensor fusion and machine learning algorithms trained to make real-time decisions for navigating complex road environments safely.

Autonomous vehicles create as much as 1 terabyte of data hourly. Accordingly, improvements to data gathering, storage, and analysis will make autonomous driving safer. As a technology that can make real-time decisions, AI will play a critical role in teaching cars to learn the rules of the road and improve performance continuously.

In addition, as AVs continue to track more miles, the AI systems powering them are receiving more and more data on roadway environments, creating more granular maps and protocols. The more precise and accurate the maps, the better equipped AVs are for navigating those environments smoothly and safely.

• Better roads , smarter cities 

AI and big data will also improve driving on a collective level, beyond the performance of any individual car.

Autonomous vehicle technology companies, as well as smart city application providers and municipalities, can now analyze traffic patterns, commuter behaviors, and road conditions in real-time. AI-powered systems can use this data to suggest alternative routes, adjust traffic signals, optimize traffic flow, and reduce congestion, improving both the efficiency of transportation networks and enhancing air quality in urban areas.

The copious amounts of data gathered from smart city sensors allow urban planners to keenly understand which road designs work best, streamlining traffic and bolstering safety for drivers and pedestrians.

The ability to integrate these improvements both with external municipal data as well as with data gathered directly within the vehicles that interact with smart infrastructure will accelerate the quest for better roads and smarter cities.

• More personalized in-car experiences

Internet of things (IoT) integration has already changed the way people make their cars into personalized driving machines.

Big data will enable automotive companies to drive personalization even further by pulling from data-driven insight on driver preferences through vehicle data, driver data, or contextual data. This could include everything from taste in music to health and wellness needs, to driving preferences (i.e. preferred temperature in the cabin or seat adjustment settings) and regular routes, to the people a particular driver calls most often on the road. Imagine getting into a car that knows when the primary driver takes the wheel (versus another driver in the family) and can adjust the seats or temperature and prompt regularly used directions or radio stations.

With this treasure trove of personalized information, car companies can offer drivers certain additions or packages that reflect the way they drive. For example, drivers with growing families could opt for “child friendly” in-car entertainment while regular long-haul road trippers would get eco-driving options to maximize efficiency on the road and save on gas. And by collecting data on drivers’ actions on the road, carmakers can also reward safe driving with perks, exclusive features, or rewards.

Throughout the ownership lifecycle, drivers can opt for features and additions such as in-car gaming or passenger entertainment, integrated navigation systems, voice controls, and more. By accommodating driver preferences with a slew of updatable software and features, auto manufacturers can provide every driver with a vehicle best suited to their needs.

• Revolutionizing insurance

Car insurance may be a day-to-day burden to your pocket, but it’s certainly a friend in time of need—even more so now as AI and big data transform the way auto insurers offer tailored policies and process claims.

By tapping into vehicles’ telematics data—real-time information on driver decisions and actions gathered within a given vehicle—insurers can gain insights into individual driving behavior and time spent on the road and tailor insurance premiums accordingly. This encourages safer driving and reduces the risk of accidents, ultimately leading to lower insurance costs for consumers and fewer payouts for insurers.

On a purely logistical level, AI-powered claims processing also speeds up and simplifies once tedious processes, improving customer satisfaction and reducing administrative overhead for insurers.

Paving the way for the future

Like countless sectors, the automotive industry is undergoing an AI and big data-driven overhaul.

Unlocking these new opportunities for safer, more efficient, and more sustainable driving solutions will ensure a better future for drivers and the companies that get them where they need to go.

Yaron Saghiv is CMO of UVeye.

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How to Create PDF [For Business]

Businesses often need to manage various documents essential for tasks such as data analysis, data collection, marketing campaigns, salary distribution, and more. Each of these tasks typically requires specific tools tailored to the company's needs. However, when it comes to sharing documents, PDF format is often the best choice due to its security and ease of sharing. In this guide, I will show you how to create a PDF for business tasks, ensuring you can manage your work with maximum efficiency.

Unlock the Power of PDFs for Your Business

It's often said that PDFs make everyone's life easier, and businesses are one sector that takes full advantage of these benefits. Some of the key advantages that businesses utilize include:

Document Sharing:

Businesses are evolving fast. Ultimately the ability to share documents quickly and efficiently is becoming crucial. PDFs are universally accessible, ensuring that the recipient can view the document exactly as intended, regardless of the device or software they are using. This consistency is precious for maintaining professionalism and clarity in communication.

Electronic Signatures:

Electronic signatures have revolutionized the way we handle approvals and contracts. For instance, when I needed to finalize a contract with a client located across the country, sending a PDF with an embedded electronic signature feature saved both time and resources. The client could easily sign the document electronically and return it within minutes, eliminating the need for physical mail or fax.

Secure Sharing:

Security is a top priority when sharing sensitive business information. PDFs offer robust security features, including password protection and encryption, ensuring that only authorized individuals can access the content. This level of security is essential for safeguarding confidential data and maintaining trust with clients and partners.

Efficient archiving is vital for keeping records organized and accessible. PDFs are ideal for archiving because they are compact and maintain the integrity of the document over time. For example, I once had to retrieve a five-year-old marketing report for a strategic meeting. Thanks to the well-organized PDF archives, I was able to locate the document quickly, saving valuable time and ensuring that the information was accurate and intact.

How to Create PDF for Business

Every business has its unique format, including custom logos and color themes, which can make generic PDF templates often irrelevant. Creating PDFs can seem daunting due to the complex steps involved. However, I've found an application that is easy to learn and offers straightforward steps for creating PDFs.

WPS Office is equipped with built-in PDF tools that allow professionals to create PDFs for free. This means you can effortlessly generate custom invoices and tailored business plans. While other software options exist which allow you to create PDFs online, they don't provide such extensive PDF tools and usually involve many steps.

So, let's dive in and create our very own PDF business contract template from scratch using WPS Office.

Create editable PDFs for Business

Let's switch over to WPS Office on your desktop to follow this step-by-step tutorial. If you haven't downloaded WPS Office yet, download it now from their website .

Step 1: On the WPS Office dashboard, visit the "PDF" tab in the left pane and then click on "Blank" to create a new blank PDF.

Now we have a new blank PDF ready to be created, so let's begin using the different PDF tools available in WPS PDF to create our business contract template.

Step 2: To insert text, go to the "Edit" tab in the toolbar and then click on the "Add Text" button in the Edit ribbon.

Step 3: Simply click anywhere on the blank document and start typing the content of your business contract.

Step 4: You can easily change the font of the text using the "EditPDF" pane on the right. Adjust text properties such as font, color, and size.

Step 5: To add fillable fields, go to the "Comment" tab and then click on "Text Box" .

Step 6: Now simply draw the fillable fields using your cursor to complete your business contract template.

With these simple steps, you can create a business contract template that matches your business style and theme. My advice is to map out your business contract template first, as doing it all at once can make the process more confusing. I found WPS PDF much easier to use compared to other PDF tools, and the fact that WPS PDF is free made the experience of creating a PDF even more pleasant.

Create PDF for Business on Mobile

If you're looking to create a PDF using your mobile device on WPS PDF, just follow these simple steps:

Step 1: Open WPS Office Mobile and click on the "+" icon at the bottom left of the screen to create a new document.

Step 2: To create a new PDF, click on the PDF icon.

Step 3: Select the "Create a Blank PDF/PDF with Notes" option.

Step 4: On the next screen, choose the style, color, and other aspects of your new PDF according to your preferences, and then tap on “New” to create a new PDF.

Step 5: A new blank PDF will be created. Simply type in the content of your PDF.

Step 6: To change the font, click on the "Circled T" icon on the toolbar to switch from the keyboard to text properties.

Step 7: Here you can change the Text properties, such as Font, Font style, and Font Color.

Step 7: Once you have completed your PDF, simply click on "Done" at the top left of the screen to save your PDF.

The process of creating a PDF using WPS Office Mobile is very straightforward, with an intuitive display and minimal options to avoid confusion. I often use WPS Office Mobile when I need to quickly create a simple contract that only requires text and signatures. It's the most suitable option for such cases.

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Tips: How to Export a PPT to a PDF

Sometimes you need to use PowerPoint presentations in business settings, but when it comes to sharing the document with colleagues outside the company, converting your PPT to a PDF is the way to go. PDFs are compatible with any system, so you can easily convert your presentation to PDF format and send it by email. This way, the other company can view your document without any hassle, and you can be confident that it’s secure.

Here's how you can convert your PowerPoint presentation to PDF using WPS Office for free:

Step 1: Open your PowerPoint presentation using WPS Office.

Step 2: Navigate to the Tools tab and then select the "Export to PDF" button.

Step 3: An Export to PDF window will pop up where you can make changes before converting your PPT to PDF , such as selecting the page range and output directory.

Step 4: After adjusting the settings, simply click on the "Convert" button to convert your PowerPoint presentation to PDF.

Aside from its conversion tools, WPS Slides offers a plethora of features to help professionals create stunning presentations. Feel free to explore its capabilities before embarking on your next professional PowerPoint project.

Best AI Assistant for Business - WPS AI

WPS Office is a comprehensive office suite that delivers everything you'd expect, and more, for businesses. You'd be surprised at the major relief WPS Office provides to its users, offering exceptional ease of use and efficiency.

One of the standout features is its seamless integration of AI technology. With WPS AI, professionals can create detailed reports, extract valuable insights, analyze market trends, and collaborate with team members effortlessly. This advanced AI integration saves time by automating routine tasks, boosts productivity by providing intelligent suggestions, and empowers users to make informed decisions based on accurate data.

The suite includes a wide range of tools that cater to all your office needs, from word processing and spreadsheets to presentations and more. The intuitive interface ensures that both beginners and experienced users can navigate and utilize its features without any hassle.

Boost Productivity with WPS Office

Businesses can significantly enhance their productivity and efficiency with WPS Office. This powerful suite offers a range of tools designed to meet the needs of modern businesses, including WPS OCR and the ability to create PDF templates. Here's how these features can benefit your business:

WPS OCR (Optical Character Recognition)

WPS OCR is a blessing when it comes to dealing with large volumes of scanned documents and images containing text. With this feature, you can:

Convert Images to Editable Text: Easily convert scanned documents or images into editable and searchable text files. This eliminates the need for manual data entry, saving time and reducing errors.

Streamline Document Management: Quickly extract information from receipts, invoices, and other documents, and integrate it into your digital workflows. This streamlines your document management process and enhances data accessibility.

Enhance Productivity: By automating the extraction of text from images, WPS OCR allows your team to focus on more strategic tasks, boosting overall productivity.

How to Create PDF Templates

Creating PDF templates in WPS Office is simple and offers numerous benefits for businesses. Let's take a look at how easily we can create a new template on WPS Office:

Step 1: Open WPS Office and click on the "New" tab on the left side pane.

Step 2: Here, you can scroll through all the templates available at the WPS Template Store. To view more, click on "See More Templates" .

Step 3: Once you've decided on a template, click on it to preview its contents.

Step 4: If the template meets your requirements, click on "Download" .

Once the template has been downloaded, WPS Office provides professionals with the necessary tools to edit and personalize the templates to suit their business needs. Additionally, there are numerous benefits of WPS templates.

Standardize Your Documents: PDF templates help maintain consistency across all your business documents. Whether it's contracts, invoices, or reports, having a standardized template ensures that all documents adhere to your brand guidelines and professional standards.

Save Time: Instead of creating new documents from scratch, you can use pre-designed templates to quickly generate professional-looking PDFs. This saves valuable time, especially when dealing with repetitive document creation tasks.

Improve Collaboration: Share PDF templates with your team to ensure everyone is on the same page. This fosters better collaboration and ensures that all documents are uniform and accurate.

Enhance Security: PDF templates in WPS Office can be secured with passwords and permissions, ensuring that sensitive information remains protected.

FAQs about How to Create PDF for Business

1. how do i create a pdf for my business.

You can create an online PDF using Canva by following these steps:

Step 1: Open Canva on your browser and search for the template you need to use for your document or design.

Step 2: Browse through the template collections based on the type of document you need to create. Filter your search by theme, style, and color.

Step 3: Replace the sample text with your own content and select the font styles and colors that best suit your document’s design and purpose.

Step 4: Upload the graphics you want to use to Canva and drag and drop them onto the layout. Explore the media library for additional visual elements.

Step 5: Use Canva's intuitive editing tools to adjust the sizes and placements of the layout’s contents. Modify the color palette to match your business theme and style.

Step 6: Once you’re finished editing, click “Share” on the toolbar, then select “Download” . Choose “PDF Standard” to save your document.

2. What are the 4 types of business PDF?

The four types of business organizations are:

Sole Proprietorship: Owned by one person for their own benefit. The owner makes all decisions, and the business ceases to exist if the owner dies.

Partnership: Involves two or more individuals who share management and profits. Partners are accountable for the debts and responsibilities of the company.

Corporation: A separate legal entity from its owners, enjoying rights similar to an individual. It can enter contracts, own assets, and pay taxes.

Cooperative: A collective formed by individuals to address common economic, social, and cultural needs. Members democratically share ownership and control.

Upgrade Your Business Document Management With WPS PDF

PDFs are more than just a resource for creating documents; they provide a secure means of sharing and easily accessing information within an office. WPS Office makes this process even easier by equipping users with advanced PDF features, such as OCR and batch processing. These tools not only help you create PDFs for business purposes but also streamline document management and enhance productivity. Give it a go and download WPS Office now to experience the benefits firsthand.

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15 years of office industry experience, tech lover and copywriter. Follow me for product reviews, comparisons, and recommendations for new apps and software.

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