Data Exploration for EDA.ipynb

[urs-santoshh]

Description:

We need to perform data exploration and preprocessing for the dataset in the notebooks/EDA.ipynb notebook. The main objectives include understanding the data structure, identifying relationships between features and the target variable, and handling missing values and outliers.

Tasks:

1. Load the dataset:

   • Ensure the dataset is correctly loaded into the notebook.

2. Explore the data structure:

   • Examine the types and structure of the data.
   • Generate summary statistics for numerical and categorical features.

3. Visualize relationships:

   • Create visualizations to understand the relationships between different features and the target variable.
   • Use plots such as histograms, box plots, scatter plots, and correlation heatmaps.

4. Identify missing values and outliers:

   • Detect and quantify missing values in the dataset.
   • Identify outliers and consider their impact on the analysis.

5. Document findings:

   • Provide a summary of findings from the exploration phase.
   • Suggest potential next steps for data preprocessing based on the identified issues.

Assignment:

Assign this issue to @sharad3595 . The assignee is responsible for completing the tasks outlined above and documenting their process and findings in the notebooks/EDA.ipynb notebook.

Deadline:

[Specify Deadline]

[sharad3595]

i will be doing it ok?