generated from mwc/project_argument
I successfully uploaded my dataset into Jupyter Lab and created visualizations to explore my research question about social media and happiness. I used Seaborn to make a regression plot showing the relationship between daily screen time and happiness, separated by gender. The plot shows a clear negative trend—people who spend more time on social media tend to report lower happiness levels—and this pattern is consistent across genders.
After completing this project my recent success that I am proud of is that I was able to create visualizations with the data and topic I chose. This project has sparked the idea of how I could use this for sport statistics like one of my peers did. A new skill I learned doing this project was creating visualizations for the data I chose.
This commit is contained in:
33
.ipynb_checkpoints/Untitled-checkpoint.ipynb
Normal file
33
.ipynb_checkpoints/Untitled-checkpoint.ipynb
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "fb6ae43a-cbeb-45f3-8e70-ef5ccd4350a7",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.13.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Reference in New Issue
Block a user