Welcome to my collection of Data Analytics projects! This repository showcases various projects where we explore datasets from different sources. Below, you’ll find a step-by-step breakdown of our approach:
Project Workflow
Loading the Dataset
We begin by loading datasets obtained from various sources. Each dataset is carefully selected to demonstrate different aspects of data analysis.
Data Cleaning
Cleaning the data is a crucial step. This involves handling missing values, correcting inconsistencies, and ensuring the dataset is ready for analysis.
Data Sorting and Transformation
After cleaning, we sort and transform the data using various methods to prepare it for analysis. This may include filtering, grouping, and aggregating data to derive meaningful insights.
Exploratory Data Analysis (EDA)
Finally, we perform Exploratory Data Analysis to uncover patterns, trends, and relationships within the data. This step involves visualizing data and using statistical methods to extract valuable insights.
Projects
Each project in this repository follows the above workflow.
Contributing
Contributions are welcome! If you have any ideas or improvements, feel free to open an issue or submit a pull request.
License
This repository is licensed under the MIT License. See the LICENSE file for more details.