Articles
How to fetch API data in R and Python: This API tutorial will teach you how to fetch data from an external source using HTTP requests and parse the data into a usable format. It is written in Quarto, an excellent tool for publishing reproducible research.
R-programming-end-to-end: I facilitated the end-to-end R programming session at the Data Science Nigeria AI Bootcamp 2020.
Data visualization and analysis: This tutorial answers various questions on exploratory data analysis using autism dataset.
Web scraping with Pandas: pandas.read_html() was used to scrape the list of final candidates that qualified to attend DataScienceNIG 2019 bootcamp.
Data consolidation in Python part 1: This tutorial teaches how to consolidate multiple csv files into a dataframe.
Data consolidation in Python part 2: This tutorial teaches how to merge data from different Excel sheets into a single dataframe.
Export multiple dataframes in R to Excel workbook: In this article, we showed how you can export dataframes in R to Microsoft Excel workbook with each Excel worksheet corresponds to a dataframe in R.
How samples behave from a normally distributed population: In this repository, we show that drawing samples from a normally distributed population do not necessarily mean the samples will behave (look) like a normal distribution.
A concise note on RStudio, R packages, and R project for a typical data science workflow in R: This material is a little addition to what has been written for R programming and is prepared for IbadanRusers meet up. You can also follow us on Twitter @IbadanRusers.
Which tech stocks are worth buying: IBM, Google, or Facebook?: The researcher compared three tech stocks namely GOOGL, FB, and IBM that are worth investing on. It was seen from the analysis that GOOGL has highest close price than FB and IBM.
Introduction to R programming language: This is put together to help the beginners and data enthusiasts about R programming.