Loadshedding Impact on South African Economy
by Joanne Kim and Tyler Chia
Part 1: Reading and Cleaning the Data
Part 2: Exploratory Data Analysis
Loadshedding seems to occur most often in the first and second stages
In terms of the frequency of loadsheddings per day of the week, it seems to be spread out pretty evenly with a slight increase in loadsheddings on Thursdays.
According to the graph above, 2015 had the most occurances of loadsheddings. 2016 and 2017 had no loadsheddings and from 2018-2020 it seems as if the frequency is increasing as time passes.
Above shows the frequncy of loadsheddings by month. Seems as if there is a slight break in loadsheddings from August-November.
I believe this graph above is the most insightful as it displays the number of loadsheddings over the course of a single year for each year that loadshedding occurred. The breaks in loadsheddings are clearly visible.
According to the graph above, most of the loadsheddings occur from 8-10 a.m. or from 4-5 p.m.
Part 3: Searching for Patterns in the Data
When looking at the correlation chart above, it appears that there is virtually no correlation between the number of loadsheddings and the net inflow or outflow per year.
^^ this was kinda just a test to see the correlation if i dropped all the years besides 2017-2019. theres a strong correlation between number of loadsheddings and net inflow