I will perform exploratory data analysis and visualization on your dataset
Service Description
Do you have raw data sitting in CSV or Excel files but no clear picture of what it's telling you? I will perform a thorough Exploratory Data Analysis (EDA) on your dataset and deliver clean, easy-to-understand insights.
What you will get:
Fully cleaned and documented dataset
Statistical summary (distributions, outliers, missing values)
Visualizations (histograms, heatmaps, bar charts, boxplots)
Python notebook (.ipynb) with all steps clearly commented
Short written summary of key findings
I work with structured data in CSV, Excel, or SQL format and use Python (Pandas, Matplotlib, Seaborn) and Tableau to surface patterns quickly and clearly.
Technology Used
Python, Pandas, NumPy, Matplotlib, Seaborn, Tableau, MySQL, Jupyter Notebook, Microsoft Excel
Frequently Asked Questions
Q: What format should I send my data in?
A: CSV or Excel works best, but I can also work with SQL dumps or Google Sheets.
Q: Will I be able to reuse the notebook you deliver?
A: Yes, all code is clearly commented and runs end-to-end without manual edits.
Q: Can you handle large datasets?
A: Yes, I have worked with datasets of 6,000+ records across multiple sources.
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