What I am proud of as of now is that I was able to find a topic that is meaningful to me. Right now, I am not currently stuck on anything as I am taking a peak as to what I need to do to complete this project. This project, if done well, has sparked the idea of doing sports just like how one of my peers is doing but instead of basketball I will do soccer.
		
			
				
	
	
	
		
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	Project proposal
This planning document will also form the introduction of your argument.
Overarching Question
What central question are you interested in exploring? Why are you interested in exploring this question?
The central question I am interested in is I’m interested in this question because social media is a major part of daily life, especially for young people. Some say it helps them connect with others, while others say it makes them feel less satisfied or distracted. I’m curious about this topic because I use social media every day and often wonder if the amount of time I spend online affects how happy I feel. I want to explore whether people who spend more time on social media report lower levels of happiness.
What specific research questions will you investigate?
Do people who spend more time on social media report lower happiness?
Is there a difference in happiness between people who use social media daily versus occasionally?
Does age or gender affect how social media use relates to happiness?
Data source
What data set will you use to answer your overarching question?
Dataset name: Mental Health & Solcial Media Balance Dataset
Data source: Kaggle (public dataset)
About the data: The dataset includes information about how many hours people spend on social media each day, their reported happiness levels, and demographic details such as age and gender.
Where is this data from?
The data will come from Kaggle, which is a trusted website where researchers and data scientists share datasets for learning and analysis. The specific dataset I plan to use was gathered from survey responses about social media use and happiness, collected by researchers studying the effects of screen time on well-being. I trust this data because Kaggle only allows verified datasets to be posted, and the information is based on real surveys where participants reported their habits and feelings.
What is this data about?
The dataset contains survey results from people who were asked about their daily social media use and how happy they feel on a scale (for example, 1–10). It includes hundreds to thousands of rows, with each row representing one person’s response. Important columns include:
Daily_Screen_Time(hrs) – number of hours per day on social media
Happiness_Index(1-10) – how happy the person feels on a scale from 1 to 10
Age – age of the respondent
Gender – male, female, or other
These columns will help me compare how time online relates to happiness and whether age or gender makes a difference.
Methods
How will you use your data set to answer your quantitative questions?
To answer my research questions, I will use Python’s Pandas library to organize and analyze the data.
For my first question, I will group the data by time spent online and calculate the average happiness score for each group. I’ll show this with a bar chart.
For my second question, I will compare the mean happiness scores of these two groups in a table or bar graph.
For my third question, I will create scatter plots or grouped bar charts to see if certain age groups or genders show stronger effects.
I will use Seaborn to make clear, easy-to-read charts and provide a short written explanation for each result.