Smart Fitness & Nutrition Analytics Dataset
By Idan Khen
Project Summary
This project explores a fitness and nutrition dataset to understand what affects the number of calories people burn during exercise. The goal was to clean the data, create a few visualizations, and answer simple questions about calorie burn, BMI, gender, heart rate, and protein intake. The results help show which factors matter and which do not.
Dataset Information
The dataset is a created fitness and nutrition dataset with 20,000 rows. It includes features like age, gender, weight, height, calories burned, workout frequency, protein intake, and average BPM. Before the analysis, the data was cleaned. I corrected unrealistic values and removed entries with missing or impossible values. This helped make the final results more reliable. The goal of the project was to answer simple questions about what affects calories burned, such as gender, BMI, protein intake, and heart rate.
Data Cleaning Process
Before starting the analysis, several corrections were made to improve the quality of the dataset:
- Fixed unrealistic numeric values by converting implossible numbers(such as negative suger, sodium etc) into NaN
- Handled broken columns by completely removing the column "Burn Calories (per 30 min)_bc" which contained unusable data
- Cleaned text fields by removing placeholder values(such as "na","none" , etc).
- Filled missing valies created during cleaning using each column's median.
Outlier Handling
Some values were unusually high or low compared to the rest.
These extreme points could distort the graphs, so they were reviewed:
- Outliers in calories burned, protein intake, and weight were checked.
- Only values that could realistically happen in real life were kept.
- Impossible values or data entry mistakes were removed.
This helped make all visualizations more accurate and easier to understand.
QUESTIONS & ANSWERS
1.Do males and females burn different amounts of calories?
Men and women burn almost the same amount of calories. The boxplot shows that both groups have a very similar median and a similar spread. This means gender does not play an important role in calories burned.
2.Does BMI influence calories burned?
There is no clear relationship between BMI and calories burned. People with low BMI and high BMI burn similar amounts of calories. The scatter plot is very spread out, which shows that BMI alone does not explain how much energy someone burns.
3.Does protein intake influence calories burned?
Protein intake does not influence how many calories a person burns. The scatter plot shows no pattern, so eating more protein does not mean burning more calories
4.Does average BPM reflect calories burned?
There is no strong connection between average heart rate and calories burned. People with higher BPM do not always burn more calories. The points are very spread out, showing a weak relationship.
Overall Insights
From all graphs, the main insight is that calories burned are not strongly affected by BMI, gender, protein intake, or average BPM. The dataset shows that calorie burn depends more on workout habits and effort, not on physical or nutrition details.
Decisions
If someone wants to predict calories burned, they would need more detailed workout information like workout intensity, training style, and session duration. These factors would likely give better predictions than BMI or protein intake.