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Fiverr Pro
English
$
USD
I will clean analyze and visualize your CSV and excel data using python
Streamlit Dashboard Developer and Python Data Analyst
I build interactive Streamlit dashboards that turn raw data into clear KPIs, trends, and decisions. I create reporting tools for sales, finance, marketing, operations, and internal analytics.
I work ...
About this Gig
Do you have a CSV or Excel file but need clear answers from the data? I will clean, analyze, and visualize your dataset using Python so you can understand trends, patterns, KPIs, and data-quality issues. I work with CSV, XLS, and XLSX files using pandas, NumPy, Matplotlib, and Seaborn. Depending on the package, I can handle missing values, duplicates, inconsistent data types, basic outliers, descriptive statistics, correlations, trend analysis, and clear charts. You will receive organized Python code in a Jupyter notebook, visualizations, and a concise summary of useful findings. Standard and Premium packages also include a cleaned dataset. This gig is ideal for sales, finance, marketing, operations, survey, academic, and business datasets. Please message me before ordering if your data requires live APIs, databases, machine learning, dashboards, more than the listed file or row limits, sensitive access credentials, or custom deployment.
Programming language:
Python
Technology:
Excel
•
Jupyter Notebook
Expertise:
Business Insights
•
Trends
•
Statistics
Tools:
Microsoft Excel
My Portfolio
FAQ
What files can you analyze?
I can work with CSV, XLS, and XLSX files. Please upload the file directly to Fiverr and include a data dictionary or column explanation if one is available.
What will I receive?
You will receive a Jupyter notebook with organized Python code, requested charts, and a concise findings summary. Standard and Premium packages also include a cleaned version of the dataset.
Which Python libraries do you use?
I mainly use pandas and NumPy for cleaning and analysis, plus Matplotlib and Seaborn for clear visualizations. I select charts that fit the questions and data types in your file.
