![]() ![]() US Weather History - historical weather data for the US.Airline Safety - contains information on accidents from each airline.They write interesting data-driven articles, like “Don’t blame a skills gap for lack of hiring in manufacturing” and “2016 NFL Predictions”.įiveThirtyEight makes the data sets used in its articles available online on Github. FiveThirtyEightįiveThirtyEight is an incredibly popular interactive news and sports site started by Nate Silver. They typically clean the data for you, and also already have charts they’ve made that you can replicate or improve. The data set shouldn’t have too many rows or columns, so it’s easy to work with.Ī good place to find good data sets for data visualization projects are news sites that release their data publicly.Ideally, each column should be well-explained, so the visualization is accurate.It should be nuanced and interesting enough to make charts about.It shouldn’t be messy, because you don’t want to spend a lot of time cleaning data.There are a few considerations to keep in mind when looking for a good data set for a data visualization project: Public Data Sets for Data Visualization ProjectsĪ typical data visualization project might be something along the lines of “I want to make an infographic about how income varies across the different states in the US”. Whenever you’re working with a dataset, it’s important to consider: how was this dataset created? Where does the data come from? Don’t jump right into the analysis take the time to first understand the data you are working with. Some may be data that’s been scraped from websites or pulled via APIs. Some may be data that’s recorded from human observations. ![]() Some will be data that’s been collected via surveys. Some of them will be machine-generated data. In this post, you’ll find links to sources with all kinds of datasets. How are datasets created?ĭifferent datasets are created in different ways. Sometimes a dataset may be a zip file or folder containing multiple data tables with related data. But some datasets will be stored in other formats, and they don’t have to be just one file. The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format - a single file organized as a table of rows and columns. Whether you want to strengthen your data science portfolio by showing that you can visualize data well, or you have a spare few hours and want to practice your machine learning skills, we’ve got you covered.īut first, let’s answer a couple quick, foundational questions: What is a dataset?Ī dataset, or data set, is simply a collection of data. In this post, we’ll walk through several types of data science projects, including data visualization projects, data cleaning projects, and machine learning projects, and identify good places to find datasets for each. Luckily, there are online repositories that curate datasets and (mostly) remove the uninteresting ones. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several CSV files, only to realize that the data isn’t that interesting after all. If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. ![]() This article was originally written by Vik Paruchuri For the original source click here. ![]()
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