Kaiser Fung, creator of Junk Charts and Principal Analytics Prep, looks at an old chart from Germany from the 1960s about swimming pools.
Kaiser Fung, creator of Junk Charts and Principal Analytics Prep, looks at an old chart from Germany from the 1960s about swimming pools.
Kaiser Fung, creator of Junk Charts and Principal Analytics Prep, looks at an old chart from Germany from the 1960s about swimming pools.
The Newslab project takes aggregate data from Google's various services and finds imaginative ways to enliven the data. The Beautiful in English project makes a strong case for adding playfulness to your data visualization. The data came from Google Translate....
Kaiser Fung, founder of Junk Charts and Principal Analytics Prep, shows how to introduce variety into bar charts via colors, sort order and orientation.
Old-timer Chris P. sent me to this Bloomberg article about Vanguard ETFs and low-cost funds (link). The article itself is interesting, and I will discuss it on the sister blog some time in the future. Chris is impressed with this...
I discussed the rose chart used in the Environmental Performance Index (EPI) report last week. This type of data is always challenging to visualize. One should start with an objective. If the goal is a data dump, that is to...
Introduction To statisticians and data scientists used to working in R, the concept of a data frame is one of the most natural and basic starting points for statistical computing and data analysis. It always surprises me that data frames aren’t a core concept in most programming languages’ standard libraries, since they are essentially a … Continue reading Data frames and tables in Scala
Introduction To statisticians and data scientists used to working in R, the concept of a data frame is one of the most natural and basic starting points for statistical computing and data analysis. It always surprises me that data frames aren’t a core concept in most programming languages’ standard libraries, since they are essentially a … Continue reading Data frames and tables in Scala
The reason for the infrequent posting is my travel schedule. I spent the past week in Seattle at JSM. This is an annual meeting of statisticians. I presented some work on fantasy football data that I started while writing Numbersense....
Introduction I recently introduced how to use the count() function in the “plyr” package in R to produce 1-way frequency tables in R. Several commenters provided alternative ways of doing so, and they are all appreciated. Today, I want to extend that tutorial by demonstrating how count() can be used to produce N-way frequency tables […]
