UN Data project using python

This repository will collect data in csv format and process it to display bar plots using matplotlib.

1. Set up virtual environment

Step 1 : Install virtual environment

NOTE : Should have pip installed

pip install virtualenv

Step 2 : Create the virtual environment

virtualenv venv

Step 3 : Activate the virtual environment

source venv/bin/activate

Once it is activated, it will show (venv) before the username as shown below :

(venv) username project
$ 

Step 4 : To deactivate virtual environment

deactivate

2. Clone repository

copy the link of ssh clone from the repository and run command as follows :

git clone [email protected]:mountblue/cohort-16-python/arkadu_kumar/dataproject-python.git

After succesfully cloning the repository, change directory to dataproject-python by following command

cd dataproject-python

3. Install Dependencies

To install all the dependencies or requirements, run the command :

pip install -r requirements.txt

NOTE : Make sure to have virtual environment activated so it installs in the virtual environment.

4. Download required csv file

Download the csv file from the link https://datahub.io/core/population-growth-estimates-and-projections/r/population-estimates.csv and paste it in the directory datasets with the name population_estimates_csv.csv

datasets/population_estimates_csv.csv

5. Run the Files

For the first question, To run the file, simply type in the command :

python3 indian_population.py

This will open matplotlib bar plot in a pop up window as shown below. Similarly, For the second question, To run the file, simply type in the command :

python3 asean_population.py

This will open matplotlib bar plot in a pop up window as shown below.

For the third question, To run the file, simply type in the command :

python3 total_saarc_population.py

This will open matplotlib bar plot in a pop up window as shown below.

For the fourth question, To run the file, simply type in the command :

python3 total_asean_population.py

This will open matplotlib grouped bar plot in a pop up window as shown below.