Exploratory Data Analysis (EDA)

[datta-magar]

• Data visualisation: Matplotlib, Seaborn, Plotly, or Tableau
• Statistical analysis: Python libraries (e.g., NumPy, SciPy, StatsModels) or R

[GemGabriel]

I'm available

[datta-magar]

Glad to have you

[GemGabriel]

Where do we start

[datta-magar]

we will anlyze the data using pandas, numpy, matplotlib and scikit learn libraries.

[akshaykumarkona]

Hello, I'm willing to contribute to this project. You can check my GitHub portfolio for your reference.

[datta-magar]

Glad to have you

[datta-magar]

we'll work on data with jupyter notebook

[akshaykumarkona]

Yeah, for sure.

[akshaykumarkona]

But how could I get the dataset to do EDA on it?

[datta-magar]

The dataset is uploaded in repository, please find

[datta-magar]

Or you can find the link for dataset in readme itself

[akshaykumarkona]

Okay

[GemGabriel]

Im still part of the team

[GemGabriel]

Which of your dataset are we using for this project? ? what's the project about? what problem are we trying to solve?

[datta-magar]

https://github.com/datta-magar/Olympics-x-Data please find all details in this repo's readme file.

[datta-magar]

hey guy's, have you started the analysis

[akshaykumarkona]

Yeah, will give you an update once the EDA part is done.

[GemGabriel]

Which of your dataset are we using for this project? ? what's the project about? what problem are we trying to solve?

I haven't gotten any answer yet

[datta-magar]

https://github.com/datta-magar/Olympics-x-Data please find all details in this repo's readme file.