Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

It’s a simple and fast way to perform exploratory data analysis of a Pandas Dataframe. The pandas df.describe() and df.info()functions are normally used as a first step in the EDA process.

For a conglomerate as big as Walmart, it is necessary to organize and analyze the large volumes of data generated to make sense of existing performance and identify growth potential.The main goal of ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...