Study on effects of the Pandemic on stress, anxiety and depression levels and an insight on their subsequent correlation with Impact on Drug Use and Suicidal Ideation
- Kushagra Raghuvanshi ([email protected])
- Jacob Grimm
- Madhav Garg
Project Documentation link (PDF and Latex version)
Instructions
- Download the following files
NOTE: All Datasets (Proccessed) are available available in repository and DONT HAVE TO BE DOWNLOADED FROM THE URLs
• pulse survey dataset.csv
• Table-1.csv
• march.csv
• may.csv
• main.py
• disorder analysis bystate.py
• disorder visualisation complete.py
• stress anxiety usa.py
• drug survey visualisation.py
• correlation and computations.py
• requirements.txt
-
Put all file in a SINGLE folder named as per you convenience
-
Open Pycharm after putting the folder inside another folder set up with pycharm already or instead open this folder by making a new Pycharm project by setting this folder as source root directory
-
Install all Python libraries mentioned in requirements.txt
-
Run the python file main.py to observe all plots
NOTE 1: The user might have to upgrade pip to the latest version (greater than or equal to version 21.3.1) if any error pops up.
NOTE 2: To ensure the plots are represented in the correct order run main.py by clicking on the green ar- row Run ’main’ instead of right clicking and selecting Run File in Python Console
NOTE 3: Only one plot is shown at a time. To observe all plots the user is required to close each plot so the next one pops up
NOTE 4: How to interpret the Correlation Graphs - Since we are taking ratio there is a differ- ence between usual correlation graphs and Our version
Our Version:
Constant (parallel to x axis) ⇒ +ve Correlation
Graphing going up or down (By a small f actor) ⇒ still almost + ve Correlation
Graphing going up or down (By a major f actor) ⇒ −ve Correlation