Exploraroty Data Analysis

Photo by Chris Liverani on Unsplash

Exploratory Data Analyis (EDA) is the process of conducting an intial investigation on data to uncover patterns,check assumptions and summarize their main characteristics, mainy by use of visuals.

Tools and Techniques

1. The shape of the data:
   Number of rows(Observations) and columns(Features).
2. The data type :
   What types are in your data?, Do you needto perform conversions?
3. Eye balling the data :
   Invoves looking at the columns and being able to point out oddities.
4. Univariate analyis:
   Involves understanding the distribution of a single feature, outliers, missing ddates, unique vaues e.t.c.
5. Bivariate Analysis:
   Involves understanding relationship betwee 2 variables.
6. Multivarite Analysis:
   Relationship between multiple variabes.

Tools/library :Use Different pandas functions to Perform your require analysis.

NB: For shortcut you can you use Pandas profiling module.

Tips

1. Type of data determines the type of EDA that will be perfomed.Unstructured vs Structured data. Find out more about data here

See the notebooks here to follow practically.

Happy Learning.