Exploratory Data Analysis To Help Your Business

About:

Exploratory data analysis is a necessary step before going into deeper analytics such as statistical hypothesis testing or machine learning.



I will provide:

• Data validation - shape of the data table, data types, missing values
• Descriptive statistics - mean, mode, standard deviation, min & max, outliers
• Distribution visualization - histograms charts, bar charts, box plots, line charts
• Segmentation analysis - analysis of qualitative segments on your data (descriptive statistics for groups)
• Correlation analysis - correlations and heatmap visualization
• Consulting advice on what to do next, and how

The final result will be delivered as a Zip archive including:

1. Nicely formatted Word report
2. Raw material in a separate folder (pictures and an Excel)

You will provide:

• Data set in an SQL database (for non-basic packages) or in CSV or Excel format. It should not exceed 2GB in size
• Data description, also known as data dictionary - a brief explanation of what the columns in the data set mean
• List of variables you want to analyze

I can help you with more advanced analytics such as machine learning models, process mining and automation assessment.



Place your order now!

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