Examples Of Charts In Different Languages

David Smith points out a great repository of information on generating different types of charts in different libraries:

The visualization tools include applications like Excel, Power BI and Tableau; languages and libraries including R, Stata, and Python’s matplotlib); and frameworks like D3. The data visualizations range from the standard to the esoteric, and follow the taxonomy of the book Data Visualisation (also by Andy Kirk). The chart categories are color coded by row: categorical (including bar charts, dot plots); hierarchical (donut charts, treemaps); relational (scatterplots, sankey diagrams); temporal (line charts, stream graphs) and spatial (choropleths, cartograms).

Check out the Chartmaker Directory.

Related Posts

Sales Predictions with Pandas

Megan Quinn shows how you can use Pandas and linear regression to predict sales figures: Pandas is an open-source Python package that provides users with high-performing and flexible data structures. These structures are designed to make analyzing relational or labeled data both easy and intuitive. Pandas is one of the most popular and quintessential tools leveraged […]

Read More

Visualizing with Heatmaps in R

Anisa Dhana shows how you can create a quick heatmap plot in R: To give your own colors use the scale_fill_gradientn function.ggplot(dat, aes(Age, Race)) + geom_raster(aes(fill = BMI)) + scale_fill_gradientn(colours=c("white", "red")) This is a quick example using ggplot2 but there are other heatmap libraries available too.

Read More

Categories

August 2018
MTWTFSS
« Jul Sep »
 12345
6789101112
13141516171819
20212223242526
2728293031