A link to my excel book can be found here. Please note that it contains the following:
- Raw Data: Original data-Mobile cellular subscriptions (per 100 people) downloaded from The World Bank.
- Slice 2: Contains my data that backs up my conclusion and lead sentence. This slice contains data for mobile use in Sub-Saharan Africa and North America.
- (For information purposes only) Slice 1: Data with two new columns -Region and Income group derived using VLOOKUP function.
Since my objective was to filter to countries in Sub-Saharan Africa and North America only, I used the Metadata as my reference table to find the corresponding region using the country code.
The data source can be found here, and by clicking on the download tab. My initial data source did not provide mobile cellular phone subscription per 100 people. As per feedback from my instructor, the new data set is better for my Data Visualization project.
I found a news story that provided an explanation to why Botswana has one of the highest mobile penetration rates in Africa. The article discusses the findings of a study titled "Botswana - Telecoms, Mobile and Broadband - Market Insights and Statistics" which credits the growth to regulatory reforms that has turned Botswana's telecom market into one of the most liberalized in the region.