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I will perform exploratory data analysis eda using python
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Need to understand your dataset before building models or dashboards?
I can perform professional exploratory data analysis (EDA) using Python to help you uncover patterns, correlations, outliers, and key insights from your data.
My EDA service includes:
- Dataset overview & structure analysis
- Missing value analysis
- Descriptive statistics
- Correlation analysis
- Distribution & outlier detection
- Data visualizations & charts
- Insight summary in clear language
- Recommendations for next steps
You will receive:
- Jupyter Notebook (.ipynb)
- Clean charts & visualizations
- PNG exports of all graphs
- Written EDA summary report (PDF for Premium)
Supported formats:
- CSV Excel Google Sheets SQL exports
I work with academic, business, survey, and machine learning datasets.
Please message me before ordering for large or complex datasets.
Mi porfolio
FAQ
What is exploratory data analysis (EDA)?
EDA is the process of analyzing and visualizing datasets to understand patterns, missing values, correlations, distributions, and potential issues before modeling or reporting.
What file formats do you accept?
I can work with CSV, Excel, Google Sheets exports, and SQL-exported datasets.
Will I receive the Python notebook?
Yes. All packages include the Jupyter Notebook used for the analysis.
Can you create charts and visualizations?
Yes. I create clean and professional visualizations including histograms, boxplots, correlation heatmaps, scatter plots, and distribution charts.
Can you analyze business or research datasets?
Yes. I work with academic, survey, business, and machine learning datasets.
Do you provide written insights from the analysis?
Yes. Standard and Premium packages include insight summaries and recommendations based on the dataset.
Should I message you before ordering?
Yes, especially for large datasets or custom analysis requirements.
