Map > Problem Definition > Data Preparation > Data Exploration > Modeling > Evaluation > Deployment
 

Data Exploration
Data Exploration is about describing the data by means of statistical and visualization techniques. We explore data in order to bring important aspects of that data into focus for further analysis.
 
1. Univariate Analysis

2. Bivariate Analysis

3. Multivariate Analysis
  • PCA (Principal Components Analysis)
  • t-SNE (t-distributed Stochastic Neighbor Embedding)