To see the interactive versions of these charts, head over to our blog. If you’re inclined to share, here is the link:
At Plotly, we like graphs. We bet you do too. But it’s hard to get data for graphs or from graphs. The four tools below address that and make it easier to get data: import.io, Quandl, WebPlotDigitizer, and Vernier.
Two notes to readers. First, you can zoom, hover, and toggle on graphs, as seen directly below. Second, please let us know if you’d like to partner with us or privately host Plotly Enterprise on your servers.
Import.io: Instantly Turn Web Pages into Data
Import.io lets you make tables of data from webpages. Just give them a URL, and they’ll make a table you can import into Plotly.
The plot below was made with data gathered by import.io. It shows the top grossing movies from the past 30 years, and how much each movie made. The dataset is here. The plot on the left has two logarithmic axes. The x-axis ranks each film for how much it grossed. The y-axis shows how much money each film made. Avatar is #1 and grossed $749.77M.
The plot on the right shows the same data in a histogram.
Quandl: Find and Use Data. Easily.
Quandl hosts millions of searchable datasets. You can share data from Quandl into Plotly. The graph below, made by Plotly CTO and ice cream enthusiast Alex Johnson, shows ice cream consumption and production.
Vernier: Teaching Science with Technology
Here is a tutorial.
The plot shows a few plotting features Vernier users (or any user) might like: an exponential fit, the slope and R-squared for the fit, an embedded link, and error bars.
Webplotdigitizer: Pulling Data From Plots
Do you ever see a graph and think “Fascinating. If only I could access the data.” Webplotdigitzer lets you. Below, we’ve used it to grab the data in a graph shared on Twitter by the White House.
Here is a tutorial on using the tool.
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