I've never used this one before, but have heard good things about it!Ĭarto: useful for plotting spatial/map dataĬanva: has pre-made templates for creating different types of infographics and charts Plot.ly:another spreadsheet program that allows you to create interactive graphics - can use with R and other data processing programs as well. Google Sheets:free, online spreadsheet program that allows you to create interactive charts that you can embed on websites In fact, most of the interactive plots on this blog are made using Google Sheets. For data sets that don't need that much computational processing, it's possible to create aesthetically pleasing and interactive charts with a number of free, user friendly platforms. R is a free and powerful program, but does require writing some code. Visualizing Data & Information:ĭuring my grad school days, I mostly used R to plot my data. This is the tool I used to scrape data from the NYT online recipes database for the Food, Race, and Power piece. After extracting the data, you will also need to clean up the dataset manually after you import it to a program like Google Sheets. csv file!)ĭata Scraper for Google Chrometakes data from the web and puts in a downloadable table (.csv) - This may not work for all webpages. Tabula useful for extracting table data from PDFs (Note to anyone sharing data publicly: avoid putting it in a PDF! Data in PDFs are not the most machine readable - opt for a spreadsheet or. csv file that you can read in Excel or a stats program like R) taking data off a table on a website, and converting it into a. Scraping Dataĭata scraping is the process a computer takes when it's taking data from one place and making it readable in another format/location (e.g. I wanted to share some of the resources I've used and/or come across in the last few years here. Luckily, there are a number of user-friendly resources for visualizing data sets, which aren't too tricky to figure out as long as you have a handle on how basic spreadsheets work! Many of these tools do not require experience in coding.
Over the last few months, I've gotten a handful of emails asking how I collect and visualize data for the posts on Intersectional Analyst! Through these emails, I learned that a lot of folks felt data visualization was outside of their skill set because they didn't have a coding background.
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