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Fiverr Pro
English
$
USD
I will clean, analyze and explore your dataset using python
About this Gig
Need help turning a messy dataset into clean, useful insights?
I will clean, analyze, and explore your dataset using Python and Pandas.
What I can help with:
Data cleaning and preprocessing
Missing-value and duplicate handling
Data formatting and transformation
Exploratory Data Analysis (EDA)
Summary statistics
Trend and pattern analysis
Anomaly identification
Data visualizations
Clear findings and insights
Tools I use: Python, Pandas, NumPy, Jupyter Notebook, Matplotlib, Seaborn, Plotly, MySQL, and Streamlit.
What you will receive:
A clean, organized dataset and analysis results based on the package you choose, with visualizations and clear findings where included.
I focus on accurate, organized, and easy-to-understand results.
Please contact me before ordering if your dataset is very large or your requirements are outside the listed package scope.
FAQ
What types of datasets can you analyze?
I can work with common structured datasets such as CSV and Excel files. If you have another format, please contact me before ordering so I can confirm whether I can work with it.
What will you need from me to start?
I will need your dataset and a brief description of what you want to understand or achieve from the analysis. If you have specific questions or KPIs, please include them with your order.
Can you handle missing values and duplicate data?
Yes. I can identify and handle common data quality issues such as missing values, duplicate records, inconsistent formatting, and other basic preprocessing requirements.
Will I receive visualizations and insights?
Yes, when included in the package you purchase. Depending on the package, I can provide relevant charts, exploratory analysis, patterns, trends, and clear findings from your dataset.
Can you work with a large dataset or a custom requirement?
Yes, depending on the size and complexity of the dataset. Please contact me before ordering if your dataset exceeds the limits of the selected package or if you have requirements outside the listed scope.
