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Aashay30 / Cricket_Analysis

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Utilizing Web Scraping to extract data from online sources, we employ Python's libraries like NumPy and Pandas to clean and merge datasets. Leveraging DAX queries, we create advanced measures for PowerBI dashboards. Our reports, following a meticulous color coding scheme, feature creative charts and plots, maintaining the specified format of mockup

python numpy exploratory-data-analysis pandas data-visualization dataset data-analysis powerbi data-modeling webscraping data-cleaning m-query dax-query
  • Updated May 28, 2024
  • Jupyter Notebook

Aashay30 / Sales_Data_Analysis

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Sales Data Analysis with Power BI and Python: This project involves cleaning and analyzing sales data using Python libraries (Pandas, NumPy, Seaborn, Matplotlib). The cleaned data is visualized in an interactive Power BI dashboard, offering insights into sales performance, trends, product analysis, and geographical distribution for decision-making.

data-science sql numpy excel exploratory-data-analysis plotly pandas data-visualization python3 seaborn matplotlib data-modeling data-cleaning m-query dax-query
  • Updated May 28, 2024
  • Jupyter Notebook

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