I will do exploratory data analysis using python
Python Data Analyst
Sobre este Serviço
I will perform Exploratory Data Analysis (EDA) on your dataset using Python and provide clear, meaningful insights.
My EDA service includes:
Data cleaning and preprocessing
Missing value and duplicate checking
Descriptive and statistical analysis
Outlier detection
Distribution and correlation analysis
Data visualization using Matplotlib and Seaborn
Identification of important patterns and trends
Clear explanation of key findings
I can work with CSV and Excel datasets and provide a clean, well-organized Jupyter Notebook containing the complete analysis.
I focus on accurate analysis, understandable visualizations, and useful insights rather than simply generating charts.
Please contact me before ordering if your dataset is large or requires specific analysis.
Tecnologia:
Excel
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Planilhas Google
•
caderno Jupyter
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Pandas
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mySQL
Especialidade:
Tendências
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Detecção de anomalias
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Estatísticas
Linguagem de programação:
Python
Perguntas frequentes
What type of datasets can you analyze?
I can analyze CSV and Excel datasets. Please contact me first if you have a very large dataset or specific requirements.
What will I receive after the analysis?
You will receive a clean Jupyter Notebook containing the data analysis, visualizations, and key findings.
Do you clean the data before performing EDA?
Yes. I can handle missing values, duplicate records, basic data inconsistencies, and outliers as part of the EDA process.
Which Python libraries do you use?
I primarily use Pandas, NumPy, Matplotlib, and Seaborn for data cleaning, analysis, and visualization.
Can you analyze a dataset with specific requirements?
Yes. Please provide your requirements and dataset details before ordering so I can confirm that I can deliver the requested analysis.

