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datacleaning

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This project aims to analyze accident data across various districts in Tamil Nadu to understand patterns, trends, and contributing factors. The analysis will leverage data manipulation, statistical techniques, and visualization to derive insights and potentially inform safety measures and policies.

  • Updated Jul 8, 2024
  • Jupyter Notebook

This repository contains analysis and predictive modeling of household electricity consumption using Python. It includes data cleaning, exploratory data analysis (EDA), time series forecasting (ARIMA, SARIMA, LSTM), and model evaluation to optimize energy usage.

  • Updated Jul 6, 2024
  • Jupyter Notebook

Compelling data of HR (Human Resource) in Excel and Power BI, acquiring reliable Employee data and meticulously cleaning it to ensure accuracy. Exploring the data visually using charts and graphs to identify trends, then delve deeper with statistical analysis to uncover patterns and relationships.

  • Updated Jul 4, 2024

Compelling data analysis of Chandigarh University students in Excel, starting by acquiring reliable student data and meticulously cleaning it to ensure accuracy. Exploring the data visually using charts and graphs to identify trends, then delve deeper with statistical analysis to uncover patterns and relationships.

  • Updated Jul 2, 2024

This repository contains a comprehensive sales analysis dashboard for a Superstore, created using Power BI. The objective is to contribute to the success of a business by utilizing data analysis technique, specially focusing on time series analysis, to provide valuable insights and accurate sales forecasting.

  • Updated Jul 2, 2024

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