No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website. 'Sometimes social science students understand the value of data ...

The core of R was developed during the 1970s and since then, many libraries (such as the Tidyverse for data manipulation) have been developed to greatly extend the functionality of the language.

how we effectively represent data using channels like color, size, and position, and some ground rules for honest and effective visualization. You will also gain preliminary exposure to Altair, a ...

Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi. ‘Statistics and Data Visualization in Climate Science with R and Python ...

Showing speed and precision, one of Google’s latest experimental models, Exp-1206, shows potential to alleviate one of the most grueling aspects of any analyst’s job.

In GIS, Python and its libraries are widely used to manipulate and analyze data, to automate repetitive tasks in GIS ... and utilize a flexible platform for geospatial analysis and visualization. You, ...