SQLBits 2018
50 ways to show your data
„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.
„A picture is worth a thousand words“ - well, that is especially true when it comes to analyzing data. Visualization is the quick and easy way to get the big ‘picture’ in your data and the R ecosystem has a lot to offer in this regard.
They may not add up to exactly 50, but in this session I’ll show you lots of compelling visualizations produced with the help of the ggplot2 package and friends - and their usual small effort of code. We will start beyond the usual bar, line or scatter plots.
Instead our screen will show diagrams that always made you think „How do they do that?“. We will see waterfall diagrams, violins, joyplots, marginal histograms, maps and more… and you’ll get the code to reproduce everything.
They may not add up to exactly 50, but in this session I’ll show you lots of compelling visualizations produced with the help of the ggplot2 package and friends - and their usual small effort of code. We will start beyond the usual bar, line or scatter plots.
Instead our screen will show diagrams that always made you think „How do they do that?“. We will see waterfall diagrams, violins, joyplots, marginal histograms, maps and more… and you’ll get the code to reproduce everything.
Speakers
Thomas Hütter's other proposed sessions for 2026
Window functions in SQL Server - brush up your skills - 2026
Thomas Hütter's previous sessions
A journey through the Tidyverse
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
An R primer for SQL folks
A walk-through on what is possible analyzing your data with the "R" language.
50 ways to show your data
„A picture is worth a thousand words“ - compelling visualizations beyond the usual bar, line or scatter plots, produced with the help of the ggplot2 package and friends.