Data & Code

Open-source R code, data projects, and reproducible analyses by Dr. Zahid Asghar — econometrics, data visualization, election analysis, and PDF data extraction.

I maintain more than 60 public repositories on GitHub covering applied econometrics, data visualization, impact evaluation, and policy data analysis. Everything is open-source. Below is a curated selection of the most useful projects.


R Tutorials & Code Snippets

Shorter tutorials published on RPubs covering specific econometric and data techniques:

Browse all RPubs tutorials


Data Explorations

Extracting Data from PDF Documents

Using the tabulapdf package in R to extract structured data from government PDF reports — a practical skill for anyone working with Pakistani official statistics.

Pakistan Election Data Explorer

Analysis of Pakistan’s election data from 1993–2018: which politicians won maximum seats, which constituencies had the closest margins, and how previous margins predict future elections.

  • Based on data from Collin Cookman. Dashboard in development.

Tools I Use & Teach

Tool Purpose
R, with Positron and RStudio Core data analysis and statistical modelling
Python Machine learning and AI workflows
Quarto Reproducible documents, presentations, websites, books
tidyverse Data wrangling (dplyr, tidyr, readr, purrr)
ggplot2 / plotly Static and interactive data visualization
tidymodels Machine learning workflows in R
Stata Econometric analysis (legacy projects)
Git / GitHub Version control and open-source collaboration

Contribute or Collaborate

If you find errors in any code, want to contribute improvements, or have ideas for data projects relevant to Pakistan’s economic policy, I welcome pull requests and issues on GitHub.

Visit my GitHub profile

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