we can say this project about the exploratory analysis with supermarket dataset.
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Updated
Sep 22, 2022 - Jupyter Notebook
we can say this project about the exploratory analysis with supermarket dataset.
Developing a centralized social media analysis platform for company products with dedicated visual analytics.
Exploring the artistry of data analytics – transforming numbers into insights, displayed dynamically through the canvas of a website.
This project focuses on analyzing customer lifetime value using various data visualization techniques. By leveraging Python libraries such as Pandas, Seaborn, Plotly, and Matplotlib, the analysis provides insights into customer acquisition costs, revenue generation, conversion rates, and return on investment across different marketing channels.
Analysis initiated for Blood Pressure Level, Body Mass Index Status, Stress Level, Physical Activity and Sleeping Duration | Using Tableau
🧰 Professional SEO tools & analytics.
A simple site to view movie-web backend metrics
A full pleged course reselling website
I was given a few sets of tasks to complete, and I worked on data cleansing, ETL, and representing ideas (used a bit of DAX) with appropriate charts. Aside from the task given, the metric on the last page was my implementation.
This Power BI dashboard offers an in-depth analysis of Amazon store sales data. 📊 It provides a comprehensive overview of key business metrics, including total sales ($1.57M) and profit ($0.18M), through a series of intuitive visualizations.
This Power BI project provides an interactive analysis of Madhav Superstore’s sales, profit, and profitability across regions, categories, and time periods.
This task focuses on Data Cleaning and Preprocessing 🧹. Your objective is to clean a raw dataset by handling missing values, removing duplicate rows, and standardizing data formats.
TypeScript reactive library for Google Tag Manager with configurable priority system, RxJS, and automatic duplicate prevention in Frontend and SSR environments.
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