You will get Clean dataset + insights with visuals to support smart decisions
Project details
data from multiple sources (CSV, TSV, JSON), identified and fixed quality/tidiness issues, and merged everything into a clean master DataFrame. After cleaning, I performed exploratory data analysis to uncover insights such as rating distributions, popular dog breeds, and differences across dog stages. Clear visualizations (boxplots, violinplots, histograms) were created to communicate findings. This project highlights my ability to transform messy, real-world data into actionable insights and professional reports.
What sets this project apart is the end-to-end workflow: gathering, cleaning, analyzing, and visualizing. It demonstrates not only strong technical skills in Python (pandas, NumPy, requests, BeautifulSoup, seaborn, matplotlib) but also the ability to transform messy data into actionable insights and professional reports that support better decision-making.
What sets this project apart is the end-to-end workflow: gathering, cleaning, analyzing, and visualizing. It demonstrates not only strong technical skills in Python (pandas, NumPy, requests, BeautifulSoup, seaborn, matplotlib) but also the ability to transform messy data into actionable insights and professional reports that support better decision-making.
Database Type
MySQL, Realm DatabaseWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $60About Martin
Data Analysis and Visualizations using Python , SQL , Power BI
Cairo, Egypt - 12:15 am local time
I studied a lot and I have experience and I am ready for any work
Steps for completing your project
After purchasing the project, send requirements so Martin can start the project.
Delivery time starts when Martin receives requirements from you.
Martin works on your project following the steps below.
Revisions may occur after the delivery date.
Gather the dataset and perform an initial quality assessment