Part 1: Software development. Creating a car rental system using OOP.
The class can be found in the file CarRental.py. main.py script contains a while loop for the program to be run. The CarRental_test.py contains unit testing.
Part 2: Algorithm analysis. The Counter function from the collections is used for this algorithm. The file for this section is called Algorithm Analysis (2)
Part 3: Data analytics. Analysing COVID-19 data, including the government response. Additional packages are used in this section beyond standard Python packages. These are as follows: requests (install by typing: !pip install requests) plotly (install by typing: !pip install plotly)
The file for this section is called Data Analytics (3) There are two data frames for this section, as one of the columns that was being merged contained NA values. Therefore the two dataframes were kept separate. The Covid_data_datadrame contains all the data needed to answer questions 1 to 5 in the analysis. the GDP_and_Covid_data_dataframe contains all of the columns that are in Covid_data_dataframe, plus the GDP for each country. As there were some countries with no values of GDP, there are some countries missing from this dataframe that can be found in the Covid_data_dataframe dataframe.