This repository contains code and data for analyzing mental health trends. The main focus is to provide insights and results from the analysis using the provided dataset and Python scripts.

• csv_Mental_Health.xlsx: The dataset containing mental health-related data.
• MainCode.py: The main Python script for data analysis.
• RESULT.ipynb: Jupyter Notebook containing the results and visualizations of the analysis.

To run the code in this repository, you need to have the following packages installed:

• Python 3.x
• pandas
• numpy
• matplotlib
• seaborn
• jupyter

You can install these packages using pip:

pip install pandas numpy matplotlib seaborn jupyter

MainCode.py Let's look at the contents of the MainCode.py file to understand what the script does.

python Copy code

import pandas as pd import matplotlib.pyplot as plt import seaborn as sns

data = pd.read_excel('csv_Mental_Health.xlsx')

print(data.head())

plt.figure(figsize=(10, 6)) sns.histplot(data['Column_Name'], kde=True) plt.title('Distribution of Column_Name') plt.xlabel('Column_Name') plt.ylabel('Frequency') plt.show() RESULT.ipynb Let's look at the contents of the RESULT.ipynb file to understand the analysis and visualizations provided in the Jupyter Notebook.

python Copy code

import pandas as pd import matplotlib.pyplot as plt import seaborn as sns

data = pd.read_excel('csv_Mental_Health.xlsx')

data.head()

data.describe()

plt.figure(figsize=(10, 6)) sns.histplot(data['Column_Name'], kde=True) plt.title('Distribution of Column_Name') plt.xlabel('Column_Name') plt.ylabel('Frequency') plt.show()

To run the main Python script, use the following command:

python MainCode.py

This script will perform the data analysis and generate necessary outputs.

To view the results and visualizations, open the Jupyter Notebook:

jupyter notebook RESULT.ipynb

This will open the notebook in your default web browser where you can interact with the results.

The dataset csv_Mental_Health.xlsx contains various mental health-related metrics. Ensure the file is located in the same directory as the scripts for the analysis to work correctly.

Mental_Health_Analysis/
│
├── csv_Mental_Health.xlsx
├── MainCode.py
└── RESULT.ipynb