Tag: R

Mapping Historical Regional Voting Patterns of Zambia Presidential Election Results

More maps! This time around, we have generated historical maps for regional presidential election results. We think this provides a better understanding of regional voting patterns over the years. For each of the presidential elections held between 1991 and 2016, we visualise the final regional (READ: provincial) outcomes and, additionally, results by electoral administrative boundaries (READ: constituencies). (more…)

Mapping the Zambia 2016 Presidential Election Results

We finally got our hands on the most recent Shapefiles [1]. Also, a few weeks back, we got our hands on the official Electoral Commission of Zambia presidential election results [2] and did some really basic analysis. So we decided to visualise the results. No commentary here, just maps… and more maps. (more…)

LaTeX Font-consistent EPS R Plots Using tikzexternalize

We are about to submit a final camera-ready version of a manuscript and they sent us this email the other day reminding us, among other things, to “adhere to the prescribed [ACM] format as set out in paragraph 2.3.10 [1]”… In a nutshell, they want all figures in EPS format. Now I am very particular about font-consistency when integrating plots within TeX documents, and so I spent most of last night trying to figure this out. I eventually decided to leverage a somewhat widely used technique–‘tikzexternalize’. I found this [2] thread on StackExchange really helpful. (more…)

[R Scripts] Visualising Likert Scale Responses Using likert

I am working with a data set from a survey, carried out as part of a user experience study, and recently got into an interesting discussion with my supervisor regarding data visualization. We touched on a couple of important issues–when to graphically represent information, types of visualizations… He suggested I look into using diverging stacked bar plots. (more…)

[R-scripts] ggplot2 Plot Collection on Github

Seeing as VERY few individuals will ever get to read my MSc dissertation [1], I have been thinking of other ways I can potentially scrap off bits of useful information from it. I have created a git repository [2], where I will dump all R generated plots. Hopefully, someone out there will find these R code snippets useful. (more…)