D3 (Data-Driven Documents): With a bit of technical know-how, you can do a ton with this JavaScript library.ĥ. The free version allows you to create unlimited visualizations to export as PNG files.Ĥ. Datawrapper: Copy and paste your data from a spreadsheet or upload a CSV file to generate charts, maps, or tables-no coding required. A robust Guides section walks you through the creation process.ģ. Google Charts: This gallery of interactive charts and data visualization tools makes it easy to embed visualizations within your portfolio using HTML and JavaScript code. Use the free version to transform spreadsheets or files into interactive visualizations ( here are some examples from April 2021).Ģ. Tableau Public: Tableau ranks among the most popular visualization tools. These are just a few of the free visualization tools you can use to start telling a story with data:ġ. You don’t need to pay for advanced visualization software to start creating stellar visuals either. Great visualizations are not only fun to create, they also have the power to make your portfolio look beautiful.Įxample data visualization project: Data analyst Hannah Yan Han visualizes the skill level required for 60 different sports to find out which is toughest. This makes data visualization a powerful tool for transforming data into a compelling story to encourage action. To get started exploring what people feel about a certain topic, you can start with sites like:Įxample sentiment analysis project: This blog post on Towards Data Science explores the use of linguistic markers in Tweets to help diagnose depression. This type of analysis works well with public review sites and social media platforms, where people are likely to offer public opinions on various subjects. It may also be used to detect a particular emotion based on a list of words and their corresponding emotions (known as a lexicon). Sentiment analysis, typically performed on textual data, is a technique in natural language processing (NLP) for determining whether data is neutral, positive, or negative. Yelp Open Dataset : See what you can find while exploring this collection of Yelp user reviews, check ins, and business attributes. NYC Open Data : Discover New York City through its many publicly available datasets on topics like the Central Park squirrel population to motor vehicle collisions.ġ0. Google Books Ngram : Download the raw data from the Google Books Ngram to explore phrase trends in books published from 1960 to 2015.ĩ. Latest Netflix Data : This Kaggle dataset (updated in April 2021) includes movie data broken down into 26 attributes.Ĩ. World Health Organization COVID-19 Dashboard : Track the latest coronavirus numbers by country or WHO region.ħ. FBI Crime Data Explorer (CDE) : Explore crime data collected by more than 18,000 law enforcement agencies.Ħ. US Census : Learn more about the people and economy of the United States with the latest census data from 2020.ĥ. NASA : If you’re interested in space and earth science, see what you can find among the tens of thousands of public datasets made available by NASA.Ĥ. World Happiness Report 2021 : What makes the world’s happiest countries so happy?ģ. National Centers for Environmental Information : Dig into the world’s largest provider of weather and climate data.Ģ. Here are 10 fun and free datasets to get you started in your explorations.ġ. If you’re unsure where to start, here are some websites with interesting data options to inspire your project:Īn EDA project is an excellent time to take advantage of the wealth of public datasets available online. You’ll also find several tools that automate the process (many offer a free trial), like Octoparse or ParseHub. If you don’t know how to code, don’t worry. If you know some Python, you can use tools like Beautiful Soup or Scrapy to crawl the web for interesting data. Plus, knowing how to scrape web data means you can find and use data sets that match your interests, regardless of whether or not they’ve already been compiled. While you’ll find no shortage of excellent (and free) public data sets on the internet, you might want to show prospective employers that you’re able to find and scrape your own data as well. These data analytics project ideas reflect the tasks often fundamental to many data analyst roles. As an aspiring data analyst, you’ll want to demonstrate a few key skills in your portfolio.
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