Analysis Process

1. Data Collection

Collect data for each country and convert it to a pandas dataframe

2. Combining Data for all countries

Concatenate dataframes for each legislature and save the data frame

3. Fixing the January Skew

Remove all incomplete dates, and then counteract the source normalisation of dates by removing some countries

4. Adding population data

Filter UN Births Data and group by month. Then we can convert it into a tidy dataframe

5. Merge Both Datasets

Reindex and transform both dataframes to enable merging

6. Transform for Plotting

Create columns for difference, percentage differences, and catergorical variables

7. Visualisations

Create plots of MPs against population births by month, and the percentage difference between them. Create distributions.

8. Exploratory Data Analysis

Potential explanations of variations

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##### 1. Data Collection 
    Collect data for each country and convert it to a pandas datafram  
##### 2. Combining Data for all countries 
    Concantenate dataframes for each legislature and save the data frame 
##### 3. Fixing the January Skew 
    Remove all incomplete dates, and the counteract the source normalisation of dates by removing some countries 
##### 4. Adding population data 
    Filter UN Birth Data and group by month. Then we can convert it into a tidy dataframe
##### 5. Merge Both Datasets 
    Reindex and transform both dataframes to enable merging 
##### 6. Transform for Plotting 
    Create columns for difference, percentage differences, and catergorical variables 
##### 7. Visualisations 
    Create plots of MP's against population by month, and percentage difference between them. Create distributions. 
##### 8. Exploratory Data Analysis 
    Potential explanations of variations