In the first part of the ggplot series, we have talked about the geom and the scale layers. In visualization terms, faceting means juxtaposing several plots together. This is especially useful when we want to compare several categories together. Now, let’s jump into several ways of faceting in ggplot. 1. facet_grid() facet_grid() is used for…
Category: visualization
Understanding ggplot (Part 1) – The Grammar of Graphic
Hi all, There are two ways of creating a graph in R: using the base R plot and using the wonderful package named ggplot2. But in this post, I will be focusing on ggplot. Since ggplot is a very broad concept, I plan to write it in several posts. For the first part, I will try…
Let’s Shine with R Shiny (An Intro)
Last week, I gave a talk at RLadies Jakarta 6th meetup about an intro to R Shiny. Although I already published the presentation on R-Ladies Jakarta’s GitHub, I still feel the urge of sharing it in a blog format. That way, I can explain it in more detail. So, here we go. Enjoy 🙂 What…
Python Visualization with Matplotlib
Matplotlib Matplotlib is one of the Python’s libraries that can be used to create a visualization. Other libraries are available such as: seaborn bokeh Altair –>Â Altair is a declarative statistical visualization library for Python. built on top of the powerful Vega-Lite visualization grammar.p source 1 source 2 Seaborn and Bokeh will be discussed in different…
