data analysis powerpoint presentation template

Got any suggestions?

We want to hear from you! Send us a message and help improve Slidesgo

Top searches

Trending searches

teacher appreciation

11 templates

cybersecurity

6 templates

spring season

34 templates

archaeology

45 templates

46 templates

23 templates

Data Presentation templates

Data are representations by means of a symbol that are used as a method of information processing. thus, data indicate events, empirical facts, and entities. and now you can help yourself with this selection of google slides themes and powerpoint templates with data as the central theme for your scientific and computer science presentations..

Data Charts

Do you need different sorts of charts to present your data? If you are a researcher, entrepreneur, marketeer, student, teacher or physician, these data infographics will help you a lot!

Product Data Sheet Design

Download the "Product Data Sheet Design" presentation for PowerPoint or Google Slides and take your marketing projects to the next level. This template is the perfect ally for your advertising strategies, launch campaigns or report presentations. Customize your content with ease, highlight your ideas and captivate your audience with a...

Big Data Infographics

Explore and analyse large amounts of information thanks to these Big Data infographics. Create new commercial services, use them for marketing purposes or for research, no matter the topic. We have added charts, reports, gears, pie charts, text blocks, circle and cycle diagrams, pyramids and banners in different styles, such...

Data Analysis for Business

What helps employees of a company know how the business is performing and recognize current problems that are to be solved? Data analysis laid out in a presentation, for example. Since we all want to do our best in our jobs, this template can come in handy for you. Its...

Premium template

Unlock this template and gain unlimited access

Math Subject for High School - 9th Grade: Data Analysis

Analyzing data is very helpful for middle schoolers! They will get it at the very first lesson if you use this template in your maths class. Visual representations of data, like graphs, are very helpful to understand statistics, deviation, trends… and, since math has many variables, so does our design:...

Software Development Through AI Pitch Deck

Download the "Software Development Through AI Pitch Deck" presentation for PowerPoint or Google Slides. Whether you're an entrepreneur looking for funding or a sales professional trying to close a deal, a great pitch deck can be the difference-maker that sets you apart from the competition. Let your talent shine out...

Statistics and Data Analysis - 6th Grade

Download the "Statistics and Data Analysis - 6th Grade" presentation for PowerPoint or Google Slides. If you’re looking for a way to motivate and engage students who are undergoing significant physical, social, and emotional development, then you can’t go wrong with an educational template designed for Middle School by Slidesgo!...

Data Analytics Strategy Toolkit

Business, a fast-paced world where "yesterday" is simply "a lot of time ago". Harnessing the power of data has become a game-changer. From analyzing customer behavior to making informed decisions, data analytics has emerged as a crucial strategy for organizations across industries. But fear not, because we have a toolkit...

Digital Adaptation Meeting

Download the "Digital Adaptation Meeting" presentation for PowerPoint or Google Slides. Gone are the days of dreary, unproductive meetings. Check out this sophisticated solution that offers you an innovative approach to planning and implementing meetings! Detailed yet simplified, this template ensures everyone is on the same page, contributing to a...

Maths for Elementary 2nd Grade - Measurement and Data

Make your elementary students have fun learning math operations, measurements and hours thanks to this interactive template. It has cute animal illustrations and a white background with a pastel purple frame. Did you notice the typography of the titles? It has a jovial touch that mimics the handwriting of a...

Statistics and Probability: Data Analysis and Interpretation - Math - 10th Grade

Download the "Statistics and Probability: Data Analysis and Interpretation - Math - 10th Grade" presentation for PowerPoint or Google Slides. High school students are approaching adulthood, and therefore, this template’s design reflects the mature nature of their education. Customize the well-defined sections, integrate multimedia and interactive elements and allow space...

Data Collection and Analysis - Master of Science in Community Health and Prevention Research

Download the "Data Collection and Analysis - Master of Science in Community Health and Prevention Research" presentation for PowerPoint or Google Slides. As university curricula increasingly incorporate digital tools and platforms, this template has been designed to integrate with presentation software, online learning management systems, or referencing software, enhancing the...

Data Analysis and Statistics - 5th Grade

Download the "Data Analysis and Statistics - 5th Grade" presentation for PowerPoint or Google Slides and easily edit it to fit your own lesson plan! Designed specifically for elementary school education, this eye-catching design features engaging graphics and age-appropriate fonts; elements that capture the students' attention and make the learning...

Simple Data Visualization MK Plan

Have your marketing plan ready, because we've released a new template where you can add that information so that everyone can visualize it easily. Its design is organic, focusing on wavy shapes, illustrations by Storyset and some doodles on the backgrounds. Start adding the details and focus on things like...

Big Data and Predictive Analytics in Healthcare Breakthrough

Have you heard about big data? This analysis system uses huge amount of data in order to discover new tendencies, perspectives and solutions to problems. It has a lot of uses in the medical field, such as prescriptive analysis, clinical risk intervention, variability reduction, standardized medical terms… Use this template...

Data Analysis and Statistics - 4th Grade

Download the "Data Analysis and Statistics - 4th Grade" presentation for PowerPoint or Google Slides and easily edit it to fit your own lesson plan! Designed specifically for elementary school education, this eye-catching design features engaging graphics and age-appropriate fonts; elements that capture the students' attention and make the learning...

Data Analysis Meeting

Choose your best outfit, bring a notebook with your notes, and don't forget a bottle of water to clear your voice. That's right, the data analysis meeting begins! Apart from everything we've mentioned, there's one thing missing to make the meeting a success. And what could it be? Well, a...

Data Science Consulting

Do you want a high-impact representation of your data science consulting company? Don’t hit the panic button yet! Try using this futuristic presentation to promote your company and attract new clients.

• Page 1 of 6

New! Make quick presentations with AI

Slidesgo AI presentation maker puts the power of design and creativity in your hands, so you can effortlessly craft stunning slideshows in minutes.

Register for free and start editing online

Home Blog Design Understanding Data Presentations (Guide + Examples)

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

Like this article? Please share

Data Analysis, Data Science, Data Visualization Filed under Design

Related Articles

Filed under Design • March 27th, 2024

How to Make a Presentation Graph

Detailed step-by-step instructions to master the art of how to make a presentation graph in PowerPoint and Google Slides. Check it out!

Filed under Presentation Ideas • January 6th, 2024

All About Using Harvey Balls

Among the many tools in the arsenal of the modern presenter, Harvey Balls have a special place. In this article we will tell you all about using Harvey Balls.

Filed under Business • December 8th, 2023

How to Design a Dashboard Presentation: A Step-by-Step Guide

Take a step further in your professional presentation skills by learning what a dashboard presentation is and how to properly design one in PowerPoint. A detailed step-by-step guide is here!

Leave a Reply

Home Collections Analysis Data Analysis Data Analysis Presentation Templates

Data Analysis Presentation Templates PPT and Google Slides

Data Analysis PPT and Google Slides

Empower your insights with our Data Analysis Template. Tailored for analysts, researchers, and professionals, this template streamlines data visualization, statistical models, and findings. Perfect for presentations, reports, and explaining complex data sets. Engage stakeholders, teams, and clients with clear and impactful data representation. Elevate your presentations, uncover patterns, and captivate your audience seamlessly with our comprehensive Data Analysis Template.

This data analysis presentation template centers around a circle divided into five distinct colored sections. Each section features a caption accompanied by an icon. The icons include a bullseye, a magnifying glass, a bar graph, a line graph, and a pie chart, offering visual representation for various data analysis elements. 

Features of the template

• 100% customizable slides and easy to download.
• Slides are available in different nodes & colors.
• The slide contains 16:9 and 4:3 formats.
• It is easy to change the colors of the slide quickly.
• Well-crafted template with an instant download facility.
• data analysis
• Data Analysis
• Data Analytics
• Data And Analytics
• Data Analysis Planning
• Data Analysis Methods
• Data Analysis Model
• Data Analysis Diagram
• Google Slides

316+ Templates

26+ Templates

23+ Templates

Opportunity

24+ Templates

180+ Templates

169+ Templates

1103+ Templates

540+ Templates

181+ Templates

You May Also Like These PowerPoint Templates

Powerpoint Templates

Icon Bundle

Kpi Dashboard

Professional

Business Plans

Swot Analysis

Gantt Chart

Business Proposal

Marketing Plan

Project Management

Business Case

Business Model

Cyber Security

Business PPT

Digital Marketing

Digital Transformation

Human Resources

Product Management

Artificial Intelligence

Company Profile

Acknowledgement PPT

PPT Presentation

Reports Brochures

One Page Pitch

Interview PPT

All Categories

Data Analytics Powerpoint Presentation Slides

Analyze raw data in order to make a conclusion by utilizing this Data Analytics PowerPoint Presentation Slides. Take the assistance of this data mining PPT visuals to mention the importance of social media and interactive platforms like Google, Facebook, Twitter, Youtube, Instagram. Showcase how cloud computing provides real-time information and on-demand insights with the help of data source PPT graphics. Take the aid of this big data management PPT templates to showcase the web services which provide free and quick information insights to everyone. You can also, discuss how big data is generated from the internet of things with the help of data transformation PPT graphics. You can also highlight the popular databases such as MS Access, DB2, Oracle, SQL, which can provide for the interaction of insights that are used to drive business profits. Display various data warehouse applications that help in the analysis of transactional data. Discuss the sources of big data such as legacy documents, media, cloud, social influencers, etc. Help your business operate more effectively by downloading this data integration PowerPoint Presentation

Analyze raw data in order to make a conclusion by utilizing this Data Analytics PowerPoint Presentation Slides. Take the a..

These PPT Slides are compatible with Google Slides

Compatible With Google Slides

• Google Slides is a new FREE Presentation software from Google.
• All our content is 100% compatible with Google Slides.
• Just download our designs, and upload them to Google Slides and they will work automatically.
• Amaze your audience with SlideTeam and Google Slides.

Want Changes to This PPT Slide? Check out our Presentation Design Services

Get Presentation Slides in WideScreen

Get This In WideScreen

• WideScreen Aspect ratio is becoming a very popular format. When you download this product, the downloaded ZIP will contain this product in both standard and widescreen format.

• Some older products that we have may only be in standard format, but they can easily be converted to widescreen.
• To do this, please open the SlideTeam product in Powerpoint, and go to
• Design ( On the top bar) -> Page Setup -> and select "On-screen Show (16:9)” in the drop down for "Slides Sized for".
• The slide or theme will change to widescreen, and all graphics will adjust automatically. You can similarly convert our content to any other desired screen aspect ratio.
• Add a user to your subscription for free

You must be logged in to download this presentation.

Do you want to remove this product from your favourites?

PowerPoint presentation slides

This complete deck is oriented to make sure you do not lag in your presentations. Our creatively crafted slides come with apt research and planning. This exclusive deck with twenty slides is here to help you to strategize, plan, analyze, or segment the topic with clear understanding and apprehension. Utilize ready to use presentation slides on Data Analytics Powerpoint Presentation Slides with all sorts of editable templates, charts and graphs, overviews, analysis templates. The presentation is readily available in both 4:3 and 16:9 aspect ratio. Alter the colors, fonts, font size, and font types of the template as per the requirements. It can be changed into formats like PDF, JPG, and PNG. It is usable for marking important decisions and covering critical issues. This presentation deck can be used by all professionals, managers, individuals, internal-external teams involved in any company organization.

People who downloaded this PowerPoint presentation also viewed the following :

• Business Slides , IT , Flat Designs , Technology and Communication , Complete Decks , All Decks , Data Management , IT , Data Analytics , Mini Decks , IT , Strategy , Data Strategy
• Data Analytics ,
• Analyst Reports ,
• Subject Matter Experts

Content of this Powerpoint Presentation

Data may come across as a technical term to us but the truth is we analyze and process data in our everyday lives. From calculating the right amount of ingredients for a cup of coffee to giving ETAs of your assigned tasks, data analytics is part and parcel of our lives. Organizations employ data analytics tools to anticipate and achieve success.Identifying the right sources of data is a primary requirement for delivering accurate results and should be conveyed to teams handling these channels. For this, you need Data Analytics PowerPoint Presentation Slides to highlight the key sources of data procurement so that the relevant team will know whom to approach. 

Our complete deck on Data Analytics PowerPoint Presentation Slides offers a visually appealing way to guide your organization in identifying the correct sources of data. This data will then be sent to processing and analysis to generate valuable key insights. The data analysis thus obtained will be a fair, all-encompassing, and a reliable source of information for the organization to refer to and draw conclusions from. On this note, let’s explore the best presentation slides of this PPT Template to give you an idea of the investment you will make upon downloading it.

Template 1: Media

This slide of our data analytics PowerPoint Presentation will highlight the importance of media as a hub of data to draw insights on customer preferences and changing trends. It will emphasize on the importance of social media channels and interactive platforms in being a rich source of qualitative and quantitative data. By highlighting media as a reliable source of data, this PPT Template will guide teams in employing this important channel for data analytics.

Template 2: Cloud

With cloud-based products and services gaining significance,, it would be a missed opportunity not to leverage them for sourcing data. Highlight the significance of cloud computing, emphasizing its ability to accommodate large data files and its accessibility, making it a vast reservoir of data, on this PowerPoint slide. Highlight the fact that using cloud files to fetch data will widen the scope of information collected from sources thus validating your analysis more.

Template 3: Web

Utilize the world wide web as a data resource to guide your business strategies and assessments and point this important reservoir of data with this PPT Template. Your team can explore the plethora of researches, statistics, and news shared by verified portals to back up your data analytics report. The visuals and icons will add to the effect of conveying its importance. 

Template 4: Internet of Things

The contribution of IoT in data analytics will always be top-tier and you can convey the same with content-ready visuals of this PPT Design. Sensors, software, and other devices that gather first-hand data add credibility to subsequent analysis. performed on it thereof can be pointed out during the discussion and elaboration. During discussion, highlight the IoT devices utilized in your organization, showcasing their role in data analytics and organizational benefits. This PPT Layout facilitates easy awareness building. 

Template 5: Databases

Data is an asset and your organization can rely on previously collected, stored, and processed data that will guide future analysis. Emphasize the importance of your organizational database in guiding future analytics work. Use this slide to encourage data governance of the database and direct teams to rely on it for future data analytics. 

Template 6: Social Network Profiles

In this PPT Slide, you can focus on social media profiles being contributors to the data sent for analysis and drawing important conclusions. By examining profiles on platforms such as Twitter, Facebook, LinkedIn etc, garther a list of like-minded prospective clients to study their interests and to devise your business strategies. Using API integration, you can analyze relevant B2B marketers and tailor pitches accordingly. 

Template 7: Social influencers

Social influencers can serve as another source of data collection allowing you to tap into the potential of influencer marketing and use their profiles to collect important data, customer preferences, and inclinations. Blog posts, user forums, review sites, are some of the ways you can get the most out of influencer marketing contributing to your companies data analytics.

Template 8: Activity-Generated Data

Businesses can acquire additional data for processing and analysis by tracking usage, generating feedback forms, and enquiring about customer preferences. IoT embedded in applications, products, or as a part of service contract will help companies study the interest and usage of their services and products by clients. This will also be the basis of a reliable data analytics report for your company. 

Template 9: Big Data Sources

In this slide, you can summarize all the previously discussed big data sources and add to this list. Icons will support the easy visualization of the sources being discussed and you can edit the list as all of our slides are 100% editable and customizable.

Template 10: Network and In-Stream Monitoring Technologies

This PPT Slide will help you highlight the importance of network and in-stream monitoring technologies in data analytics. In this presentation design you can talk about how monitoring the incoming and outgoing traffic on a computer network will help users fetch data that will be helpful in data analytics. You can point to the need for specialized hardware and/or software in collecting this important data. So, download it now!

Know Your Tools

As you help your audience know the tools for data analysis, you can assign respective teams to be vigilant about collecting the big data. Discuss the process of collecting data and how to preserve it for long without depleting its value or tampering it. Use this carefully collected data to power your analytic reports and this journey will begin effectively upon downloading this comprehensive training material titled Data Analytics PowerPoint Presentation.

Data Analytics Powerpoint Presentation Slides with all 20 slides:

Use our Data Analytics Powerpoint Presentation Slides to effectively help you save your valuable time. They are readymade to fit into any presentation structure.

Ratings and Reviews

by Daron Guzman

December 28, 2021

by Dale Tran

by Claude Price

by O'Neill Reyes

• Search Search Search …

Flat design Marketing Analysis template, free for PPT and Google Slides.

Looking to create a modern and engaging marketing presentation? Check out this free flat design marketing template for PowerPoint and Google Slides!

This template utilizes a flat and clean aesthetic with geometric shapes and an orange and purple color scheme. It’s perfect for grabbing your audience’s attention and presenting your marketing data in a clear and concise way. Plus, it offers a variety of layouts for timelines, charts, SWOT analysis, and competitor comparisons – all the tools you need to tell a compelling marketing story.

Remember that you can customize its colors to match your brand identity. Simply click on Slide > Edit theme, and change the theme colors.

You may also like

Nash Free multipurpose template for Google Slides or PowerPoint presentations

Free Template for PowerPoint and Google Slides Presentations Nash Nash is a multipurpose theme, it can be used for a business presentation or […]

Elliot Free Presentation Template for Google Slides or PowerPoint

Free Template for PowerPoint and Google Slides Presentations Elliot Elliot has a very simple design, yet the combination of font sizes and […]

Which is it? Interactive trivia game template.

Free PowerPoint template and Google Slides theme. Customizable Trivial Pursuit Live slides template. Have you ever played Trivial Pursuit Live? Well, I […]

Meet the teacher colorful template with dotted background.

Free editable Meet the Teacher and All about Me template for Google Slides and PowerPoint. Introduce yourself to students and families with […]

Blog – Creative Presentations Ideas

infoDiagram visual slide examples, PowerPoint diagrams & icons , PPT tricks & guides

How to Visually Present B2B Segmentation in PowerPoint

Do you want to showcase a B2B segmentation in a visually compelling way? Consider using visual forms such as pyramid charts, matrices, and 3d cubes to present segmentation. It’s an easy way to enhance the visual appeal of your showcase. 

We present a few ideas on how to present some of the segmentation approaches to the B2B market, including RFM, Firmographic, and Tier-based framework below.

The visualizations are the result of our slide design experience of presenting various business data, where we, as designers, try to find a balance between showing essential information simply, usability, and attractiveness of presentation. Content was developed in cooperation with our partner, a senior corporate management consultant.

Get all the graphics presented here – click on the slide pictures to see and download the source illustration. Check the full B2B Customer Segmentation Models Presentation PowerPoint Template .

Visualizing the Firmographic B2B Segmentation Data

In the first example, we show how you can visualize firmographic segmentation of the various data categories representing B2B clients such as industry type, geographic location, company size, and annual revenue.

We used different data charts and a map for geographic data to visualize this information. Look at the layout of this slide. Here you can see a lot of data in one slide, but the objects are aligned and colors are consistent, that’s why the slide is easy to read. By charts, we present several B2B segmentation data together in one easily understandable visual slide. Using simple bar charts makes it easier for audiences to read key trends and patterns in B2B segmentation information at a glance.

Additionally, visual elements such as bookmark shapes and icons capture the audience’s attention and keep them engaged during presentations of B2B segmentation data.

Explaining the Essence of RFM Analysis for B2B Segmentation

If you’re looking for slide ideas to explain what RFM analysis is, we have a simple way to show it by diagrams. RFM method is a popular way to segment B2B customers based on their purchase recency, frequency, and monetary value. 

Below is our proposal for how you can present visually those 3 categories for clearer understanding. You can see the three columns referring to particular ones:

• Frequency 

One of the importance of effective design is to arrange content.  In the slide picture above you can see two parts of the layout. One of them is the main area with RFM metrics. The second part is the place for some comments, if you want to add some conclusions and additional information.

If you have the analysis of a few factors, we suggest using columns arranged equally. Each of the factors we highlight thanks to adding icons and distinctive colors. 

Later you can refer to those icons or colors if you are about to present more specific RFM data.

Illustrating 3-dimensional B2B Client Segmentation by RFM Using Cubes

To present the B2B segmentation of your business customers by  RFM segmentation method (recency, frequency, value categories), you can consider using a 3-dimensional segmentation cube . By visualizing segmentation data in a three-dimensional space, you can make a more holistic analysis, understand its position, and uncover trends better that may not be apparent in traditional two-dimensional representations.

In the slide above we show you how to use a cubic diagram if you need to present segmentation. The use of a 3-dimensional segmentation cube can enhance your presentation. In this case, you can see a sample when we create a 3-dimensional cube using squares. It’s an easy way to show a better segment position. 

We created this 3D cube from vector shapes, and thanks to that all shapes are editable. They can be easily recolored to show more segments if needed.

Showing 1-dimensional B2B Clients Segmentation in Pyramid Chart

If you have a simple segmentation based on one main category, you can visualize tiers of such segmentation using a pyramid chart. 

See a slide design we proposed for such visualization.

Pyramid charts allow for the hierarchical representation of data. Larger segments at the bottom indicate the lowest revenue values and the business importance of Tier 4. The segment at the top indicated the highest annual revenue and importance of the Tier 1 clients. Those B2B clients are the ones generating the most profit and you should focus most attention on them. 

The shape of a pyramid chart naturally draws attention and creates visual impact, that’s why we suggest using it for emphasizing key data points. Here we used a pyramid chart to show the importance of tiers and their associated data such as annual revenue and several clients in the segment. We highlight the most important data by colors and bold. The light gray shapes are complementary to the slide layout. This makes the slide clear and readable.

Key Tips on Presenting B2B Segmentation

When you create your presentation of your B2B client segmentation, keep these simple design guidelines in mind for a clear, captivating, and easily understandable delivery:

• use a consistent graphical style throughout your presentation to maintain visual coherence
• plan the layout of your slides, particularly for those containing a lot of text or data, to ensure a well-balanced and engaging design,
• add icons to enhance the visual appeal of your presentation
• use some special shapes for attracting attention to key points, e.g. pyramid chart or 3D cube.

By following these basic design principles, you can create a compelling presentation that leaves a lasting impact on your audience.

Resource: B2B Customer Segmentation Models Presentation PowerPoint Template

The examples above used the graphics from a PowerPoint template on the topic of B2B customer segmentation. All slides are available in the infoDiagram collection of presentation graphics.

B2B Customer Segmentation Models PPT Presentation

Moreover, you can extend your data presentation with a Point of Sale Segmentation Strategy (PPT Template) right here.