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https://github.com/lashawnfofung/super-heroes-analysis-project

This portfolio project involves a detailed analysis of 732 superhero records from the heroes_information.csv dataset, comprising 11 columns of unique characteristics for each hero. The primary goal is to showcase key insights derived from this rich dataset, demonstrating proficiency in data analysis using SQL.
https://github.com/lashawnfofung/super-heroes-analysis-project

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This portfolio project involves a detailed analysis of 732 superhero records from the heroes_information.csv dataset, comprising 11 columns of unique characteristics for each hero. The primary goal is to showcase key insights derived from this rich dataset, demonstrating proficiency in data analysis using SQL.

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README 

          


Superhereos Analysis Project





Table of Contents


  

   - [Overview](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#overview)

   - [Dataset](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#dataset)

   - [Task Performed](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#task-perfomed)

   - [Tech Stack](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#tech-stack)

   - [About SQL](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#about-sql)

   - [Data Source](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#data-source)

   - [Tableau Public: Superheroes Analysis Project](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/README.md#tableau-public-dashboard)






Overview



As an enthusiast of superheroes, particularly those from Marvel and DC Comics, I found the `heroes_information.csv` dataset to be an incredibly exciting resource for exploration. This project delves into the characteristics of various comic book heroes, aiming to uncover fascinating insights into their attributes and distributions. It served as an excellent opportunity to refresh and apply my SQL skills to a dataset I genuinely enjoyed analyzing. The analysis was conducted in July 2025.



This portfolio project involves a detailed analysis of 732 superhero records from the heroes_information.csv dataset, comprising 11 columns of unique characteristics for each hero. The primary goal is to showcase key insights derived from this rich dataset, demonstrating proficiency in data analysis using SQL.



Leveraging MySQL and MySQL Workbench, this project undertakes comprehensive exploratory data analysis (EDA) to uncover various patterns and distributions within the superhero universe. The analysis includes examining the distribution of heroes by publisher, gender, and alignment, calculating average physical attributes, and performing more advanced inquiries such as understanding hero composition by race within publishers and identifying publishers with diverse character alignments.






Dataset



`Size`: 49.2KB



This project utilizes the `heroes_information.csv` dataset, which contains detailed information about various comic book heroes. Each row in the dataset represents a unique hero, and the columns provide different attributes about them. The dataset has 732 rows (representing a unique hero) and 11 columns (providing attributes) .



Key features and columns of the dataset include:



  -  `name`: The name of the hero.

  

  -  `Gender`: The gender of the hero.

  

  -  `Eye color`: The eye color of the hero.

  

  -  `Race`: The race or species of the hero.

  

  -  `Hair color`: The hair color of the hero.

  

  -  `Height`: The height of the hero (note: '-99.0' typically indicates missing or unknown values).

  

  -  `Publisher`: The comic book publisher associated with the hero (e.g., Marvel Comics, DC Comics).

  

  -  `Skin color`: The skin color of the hero.

  

  -  `Alignment`: The moral alignment of the hero (e.g., 'Good', 'Bad', 'Neutral').

  

  -  `Weight`: The weight of the hero (note: '-99.0' typically indicates missing or unknown values).



This dataset is ideal for performing various analytical tasks related to character demographics, publisher distribution, and other attributes within the superhero universe.






Task Perfomed



This project involved performing comprehensive exploratory data analysis (EDA) on the `heroes_information.csv` dataset using SQL. The primary objective was to gain insights into various characteristics of the comic book heroes, their publishers, and their attributes.



Key analytical tasks performed include:



  - Demographic Analysis: Investigating the distribution of heroes across different publishers, genders, and alignments (Good, Bad, Neutral).



  - Physical Attribute Analysis: Calculating the average height and weight of heroes, with careful handling of missing data represented by '-99.0'.



  - Grouped Physical Attributes: Determining the average height and weight broken down by both gender and alignment to understand trends within specific hero categories.



  - Publisher and Race Composition: Analyzing the composition of heroes by race for each publisher to understand character diversity within different comic universes.



  - Alignment Diversity per Publisher: Identifying and querying publishers that feature heroes spanning multiple distinct alignments, highlighting publishers with diverse character moral landscapes.



All analyses were conducted using standard SQL queries, leveraging clauses such as `SELECT`, `FROM`, `WHERE`, `GROUP BY`, `ORDER BY`, `COUNT`, `AVG`, `DISTINCT`, and `HAVING` to extract meaningful patterns and statistics from the dataset.



Review the Data Exploration SQL Scripts: 

  - `Basic`: [HERE](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/SQL%20Queries/Basic%20Queries.sql)

  - `Advanced`: [HERE](https://github.com/LashawnFofung/Super-Heroes-Analysis-Project/blob/main/SQL%20Queries/Advanced%20Queries.sql)






Tech Stack


 

  - MySQL

    - This is an open-source relational database management system (RDBMS). It's widely used for web applications and is known for its speed, reliability, and ease of use. It stores data in tables with rows and columns.

  - MySQL Workbench

    - This is a visual database design tool that integrates SQL development, administration, database design, creation, and maintenance for the MySQL database system. It provides a graphical interface for users to interact with their MySQL databases.

  - Tableau

    - Tableau is a leading business intelligence (BI) and data visualization software. Its primary purpose is to help people and organizations "see and understand their data.

    






About SQL



SQL is a standard programming language used to manage relational databases and perform various operations on the data within them. Key capabilities of SQL include:



  - Querying Data: Retrieving specific information from a database.



  - Data Manipulation: Inserting new data, updating existing data, and deleting data.



  - Data Definition: Creating, modifying, and deleting database schemas (tables, indexes, views, etc.).



  - Data Control: Managing database access permissions.






Tableau Public Dashboard



I created a Tableau Public dashboard to analyze superhero data, focusing on publisher distribution, and average hero height and weight by gender and alignment. My process involved cleaning the dataset by handling missing values and standardizing text, then building individual visualizations in Tableau Desktop to answer specific questions like "Hero Count by Publisher" and "Average Hero Physique (by Gender & Alignment)". Finally, I designed an interactive dashboard, arranging charts logically and adding filters for user exploration, before publishing it to Tableau Public for wider access. Tableau is a powerful data visualization tool that allows users to connect to various data sources, create interactive dashboards and worksheets, and share their insights visually, without requiring extensive coding knowledge.



To view the interactive dashboard: [Tableau Public: Superheroes Analysis Project](https://public.tableau.com/views/SuperheroesAnalysisProject/Dashboard1?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link)







Tableau Public Dashboard Superhero Analysis






Data Source



The `heroes_information.csv` dataset utilized in this project is part of a larger Super Heroes Dataset originally sourced from Kaggle:







Kaggle Dataset Link: https://www.kaggle.com/datasets/claudiodavi/superhero-set







About the Dataset's Context:

This dataset was compiled to provide an overview of comic book heroes, focusing on their physical and power characteristics. It aims to help researchers and enthusiasts identify trends and patterns, particularly in the context of increasing diversity within popular culture's superheroes.







Content Note:

The data was collected in June 2017 from SuperHeroDb and has not been updated since, meaning it might not reflect the most current information. The Kaggle dataset originally contains two files; this project specifically uses the one detailing hero characteristics (e.g., gender, eye color, height, publisher, alignment, weight).







Acknowledgements:



-  The original data was scraped from SuperHeroDb.

-  The analysis of the dataset was conducted in July 2025.