Top 10 Data Visualization Project Ideas 2024

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Elitsa Kaloyanova 23 May 2024 7 min read

The Importance of Data Visualization

What is data visualization and why is it important?

Data visualization is the art of providing insights with the aid of some type of visual representation, such as charts, graphs, or more complex forms of visualizations like dashboards. Usually, the process involves various data visualization software – top data visualization tools such as Tableau, Power BI, or Python, and R on the programming end.

Investing time in learning data visualization techniques is worthwhile, as data visualization is becoming one of the most sought out fields in data science overall. Moreover, excellent data visualization skills are high-in-demand across a myriad of businesses and industries and open the door to many rewarding career opportunities.

With that in mind, we dedicate this post to some of the classic data visualizations combined with inspirational data visualization project ideas. Data is beautiful and invaluable when presented the right way and we believe the examples we listed below will come in handy in your own practice.

Ready-Made Data Visualization Projects

Before getting into the list of project ideas, we want to highlight the ready-made data visualization projects available on our platform.

With free options and advanced projects as part of your 365 subscription, you can access a wide array of projects that cater to different levels of expertise—from beginners to advanced practitioners looking to further hone their skills.

Using these projects lets you address real-world problems immediately without the stress of creating the project and hunting for data.

Our projects span multiple fields, allowing you to apply your data visualization skills in such areas as music, real estate, and beyond.

These projects will enhance your skills and serve as standout additions to your portfolio. Showcasing your data visualization projects to potential employers can demonstrate your practical skills, creativity, and ability to derive meaningful insights from data.

Consider the following projects we’ve prepared for you.

Hands-on experience is one of the most effective ways to learn and grow. That's why our projects are designed to challenge you and stimulate your creativity while providing practical experience in data visualization. No matter where you are on your data science journey, these projects are a valuable resource to help you progress.

Now, let’s move on to some more data science project ideas that you can prepare yourself.

Top 10 Data Visualization Project Ideas

In this Top 10, you will find the staples in data visualization and ideas on how to use them in different projects. You can use the table of contents to jump directly to the ones that interest you most or just scroll down to absorb all dataviz ideas from first to last.

Table of Contents

  1. Bar Chart Data Visualization Project ideas
  2. Time Series Data Visualization Project Ideas
  3. Box Plot Data Visualization Project Ideas
  4. Word Cloud Data Visualization Project Ideas
  5. Map Data Visualization Project Ideas
  6. Graph Network Data Visualization Project Ideas
  7. Race Chart Data Visualization Project Ideas
  8. Correlogram Data Visualization Project Ideas
  9. Dendrogram Data Visualization Project Ideas
  10. Heatmap Data Visualization Project Ideas
  11. FAQs

1. Bar Chart Data Visualization Project Ideas

Bar chart data visualization project idea: cars listings by brand

Any data visualization journey starts with the bar chart.

So, to answer the question we posed at the start “What is data visualization?”: in the majority of cases, the answer is the bar chart. It’s one of the most popular data visualization examples you’ll ever come across because it is truly versatile, intuitive, and clear as a visualization.

There is no shortage of available options here. However, our suggestion is plotting the flight delays values, as suggested in this Kaggle tutorial:

2. Time Series Data Visualization Project Ideas

Time series data visualization project idea: S&P vs FTSE Returns

Time series data is one of the staples in data visualization. So, chances are, no matter what field you’re working in, at one point or another you’ll face a project where you’ll have to display data with time series elements.

For this type of data, it is crucial to make sure the date features in your data are converted into date type format. No matter what your go-to data visualization tools are: Tableau, Python, R, or Excel, the conversion step is crucial to ensure your data is plotted correctly.

That said, here’s a great project idea to explore: Stock Returns indices data. You can visualize and compare different stock market returns for various indices, at different points in time. You can easily download the up to date stock market information from the finance yahoo website:

3. Box Plot Data Visualization Project Ideas

Box plot data visualization project idea

Box plot is a chart that might seem a bit intimidating or foreign if you’re seeing it for the first time. But nothing is too complicated once you get to know it better. We use the box to represent numerical data via quartiles. The whiskers that you sometimes see on top of this type of chart show the variability of the data. In such cases, we call it a box and whiskers plot.

Project-wise, we continue with the stock market theme because opening and closing prices on the stock market is one of the prime use cases of this visualization. And, of course, you can check out yahoo finance for the most current data.

4. Word Cloud Data Visualization Project Ideas

Word cloud data visualization project idea

When it comes to data visualization examples, word clouds are often neglected, when in fact, they can be quite useful. Recently, they’ve found a place aiding text data analysis. Turns out, when performing sentiment analysis, word clouds can be tremendously helpful to find common topics within a cluster. Therefore, any time you’re looking at the most common items within a topic, word clouds can be a helpful way of visualizing your data.

Project idea? Any type of top 10 list, or most popular word search. Why not do a word cloud on the subject of top data visualization projects? Or head over to the Large Movie Reviews Dataset and try data visualizations based on their data.

5. Map Data Visualization Project Ideas

Map data visualization project idea

Being able to chart and interpret geographical data is one of the utmost skills required for a data viz expert. Depending on what software you use, this can vary in terms of difficulty. The free data visualization software most equipped to handle geographical data is probably Tableau and I recommend using it if there are no specific software requirements. Or you could also try R’s highcharter or Python plotly module (alternatively cartopy, which is based on matplotlib) if you’d prefer statistical analysis tools for visual communication.

An interactive map of Australia’s bioluminescence organisms is one of the best visualization projects just in general. Why not try and recreate the result yourself?

6. Graph Network Data Visualization Project Ideas

Graph network data visualization project idea

This type of visualization usually reflects complex systems where the importance is placed on the interaction between the elements. Despite being intricate, networks are one of the most inspiring topics in terms of dataviz, as they show that information is beautiful when translated in the correct form. Think infrastructure, social networks or biological pathways such as genetic pathways or integrated systems – all of them can be displayed with the help of a network.

If you’re looking for graph network data viz project ideas, you can head over to the network repository and explore numerous data sets on a variety of topics. The great news is that you can directly visualize each data set on the same site using their interactive tool. And maybe it’s only me but it’s great fun exploring all the different networks.

7. Race Chart Data Visualization Project Ideas

Race chart data visualization project idea: the most populous cities in the world from 1500 to 2018

The race bar chart is an animated bar chart, showing the development of an entity (usually top 10) over time. Recently made popular by Data is Beautiful YouTube channel. There are numerous interesting races in stock, for instance, the most popular sci-fi Movies from 1968 until 2019 (that is my personal favourite). But hey, if you’re stuck for data visualization projects ideas here is our proposal.

Go over to Kaggle and see how to implement the bar chart race of the most populous Turkish provinces from 2007 until 2018 :

8. Correlogram Data Visualization Project Ideas

Correlogram data visualization project idea: relationship between used cars attributes

Data visualization examples run through various parts of the data science process. And correlograms are a part of the data exploratory phase that can reveal information on various relationships within our data. A correlogram displays n variables within our data on an (n-1)x(n-1) grid of subplots. On these subplots, you can display scatter plots, density plots, or histograms, each revealing different insights about your data.

For a correlogram data visualization project, you could try out a classic, like the Iris data set. In fact, any data where you have numerical features will do the trick. However, we recommend a data set you’d most likely be familiar with. This way, you can practice and delve into the different options presented with this form of visual.

9. Dendrogram Data Visualization Project Ideas

Dendogram data visualization project idea: hierarchical clustering dendogram

Continuing with data visualization examples from data science, we delve straight into machine learning with a technique used in unsupervised learning – the dendrogram. A dendrogram is a type of tree used for the hierarchical representation of points and is the main data visualization used for hierarchical clustering solutions. In fairness, results in machine learning, tend to be hard to visualize. That is one of the reasons why the field is considered hard to understand… Without any visual, it’s hard to develop an intuition of the matter. That’s why we couldn’t skip the chance to include this data visualization example.

Any type of clustering data set will do for such a project. You can visit the UCI Machine Learning Repository and check out their clustering data sets. Just a small tip. If you’re using hierarchical clustering, a large data set might require extra computing time. So keep that in mind.

10. Heatmap Data Visualization Project Ideas

Heatmap data visualization project idea

Heatmap visualization is surely one of the most effective ways to intuitively show relationships between variables. What makes a heatmap stand apart is the excellent use of colors that contribute to the intuitive understanding of the plot. With a heatmap, you can observe the correlation between variables within your data and find dependencies.

The Heatmap is yet another crucial element for data analysis (or beginning stages of machine learning tasks).

So, to wrap up our list on a high note, here is an idea for a data visualization project with widespread application in data science. In fact, it is the same suggestion we started with: flight delays. There is hardly a better example of how data visualizations are interconnected.

Bonus Data Visualization Project Idea

If you’re eager for more ideas, here is another of my favorite data visualization examples, which features microbial life represented as a heatmap.

Ready to Learn Data Visualization?

Looking for data visualization training that will teach you how to turn any bad data visualization into a great one? Check out our data visualization course where you’ll learn how to create stunning data visualizations with free data visualization tools: Python, R, Tableau, and Excel.



What is a data visualization project?
A data visualization project involves translating data and metrics into visual context, making complex data more accessible, understandable, and usable. It often involves using graphical data representations to enhance the viewer's ability to see patterns, trends, and outliers within large data sets. In the context of Excel, this could involve creating tree maps, histograms, scatter plots, or interactive dashboards to help interpret the data visually, as highlighted in the provided project ideas. Want to practice your data visualization skills? Check out our beginner-level data visualization projects for free on the 365 Data Science platform, and start your journey into the world of data visualization today.
How do you start a data visualization project?
Starting a data visualization project involves several essential steps.
• Define Your Objective: Understand what you wish to achieve with your visualization. What story do you want the data to tell?
• Gather and Clean Your Data: Collect the data you need for your visualization. This might involve importing data into Excel and using functions like Power Query to fetch and clean data.
• Select the Appropriate Visualization: Choose the type of visualization that best suits your data and the story you want to tell. For instance, use a histogram to show distribution or a scatter plot to illustrate the relationship between two variables.
• Create Your Visualization: Use Excel's tools to create your visualization. Ensure it's clear, concise, and effectively communicates the intended message.
• Iterate and Refine: Based on feedback or further analysis, refine your visualization to improve clarity or add additional context. Eager to get started?
Explore our premade data visualization projects on the 365 Data Science platform, where beginners can gain hands-on experience for free.
What are some examples of data visualization?
Examples of data visualization—particularly in Excel—include the following.
• Tree Maps: These can highlight different points of interest in your data, adjusting formatting to your liking.
• Histograms: These diagrams are used to visualize the distribution of data, such as the outcomes of a series of events like coin flips.
• Scatter Plots: These are ideal for showing the relationship between two variables, helping to identify correlations or outliers.
• Pivot Tables: Although not a graphical visualization, these are essential in summarizing and analyzing large datasets in Excel.
• Interactive Dashboards: Combine various data visualizations and pivot tables, allowing users to interact with the data and explore different aspects.
Curious to see these in action? Visit the 365 Data Science platform to access our beginner data visualization projects at no cost and start visualizing data like a pro.
What are the four stages of data visualization?
The four stages of data visualization typically include the following.
• Data Preparation: This process involves collecting, cleaning, and organizing data—ensuring the data is accurate and ready for analysis.
• Data Exploration: This stage involves understanding the data, finding patterns, and identifying the key points you want to visualize. It concerns asking questions and using analytical techniques to explore the data.
• Visualization Design: This step is where you decide how best to represent your data. Choosing the correct type of visualization—a chart, graph, map, or other format—is crucial
• Execution and Refinement: Here, you create the visualization using your chosen tool (like Excel) and refine it based on feedback or additional insights. This might involve tweaking the design, adjusting the data, or applying different analytical techniques to enhance the visualization's effectiveness.
Each stage plays a crucial role in developing effective and insightful data visualizations.
Ready to apply these stages practically? Check out our easy-to-follow, beginner-friendly data visualization projects on the 365 Data Science platform, and start creating compelling data stories today.

Elitsa Kaloyanova

Instructor at 365 Data Science

Elitsa is a Computational Biologist with a strong Bioinformatics background. Her courses in the 365 Data Science Program - Data Visualization, Customer Analytics, and Fashion Analytics - have helped thousands of students master the most in-demand data science tools and enhance their practical skillset. In her spare time, apart from writing expert publications, Elitsa loves hiking and windsurfing.