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I will do python data analysis, data cleaning and visualization
Data Analyst Expert in Power BI Excel Python and SQL
Hi, I'm a Data Analyst specializing in Power BI, Excel, Python, SQL, and MySQL. I help businesses transform raw data into actionable insights through interactive dashboards, data visualization, and bu...
About this Gig
Need help cleaning messy data, analyzing datasets, or creating professional Python visualizations?
I will analyze, clean, and visualize your data using Python, Pandas, NumPy, Matplotlib, and Seaborn to help you discover meaningful insights and make better business decisions.
My Services:
- Python data analysis using Pandas and NumPy
- Data cleaning and preprocessing
- Handling missing values and duplicate records
- Exploratory Data Analysis (EDA)
- Statistical and descriptive analysis
- Data visualization with Matplotlib and Seaborn
- Trend analysis and KPI reporting
- Sales, finance, HR, and e-commerce data analysis
- Jupyter Notebook reports and documentation
What You Will Receive:
- Cleaned and organized dataset
- Professional charts and visualizations
- Python code or Jupyter Notebook
- Analysis summary with key insights
- Files in the agreed format
Why Choose My Service?
I focus on accurate analysis, organized Python code, clear visualizations, and useful insights tailored to your project requirements.
Please contact me before ordering to discuss your dataset, project scope, and expected deliverables.
My Portfolio
FAQ
Q: What file formats do you accept?
I accept CSV, Excel, JSON, and other supported structured data formats.
Q: Will I receive the Python source code?
Yes, I can provide the Python scripts or Jupyter Notebook used for the analysis.
Q: Can you clean large datasets?
Yes, depending on the dataset size, structure, and complexity. Please contact me before ordering.
Q: Do you provide data visualizations?
Yes, I create charts using Matplotlib and Seaborn, including bar charts, line charts, histograms, scatter plots, and heatmaps.
Q: Can you analyze business data?
Yes, I can analyze sales, customer, finance, HR, and e-commerce datasets.
