FAQ's
underlying structure while offering all the particular items that are required for an Analyst for eMain purpose of EDA is to increase the insights of the analystinto the dataset and its uxtracting the data from the datasets.
Following are the steps involved in EDA:
- Data Collection
- Data Cleaning
- Univariate Analysis
- Bivariate Analysis
Two goals of exploratory data analysis are:
- Identifying if the data is appropriate for the question
- Outline the answer to your question
Following are some of the components of EDA:
- Understanding your variables
- Cleaning your dataset
- Analyzing relationships between variables
Following are some of the tools we use in exploratory data analysis:
- Polymer Search
- Rattle (R Package)
- Pandas
- Profiling
- DataPrep
- Trifacta
- KNIME
- Excel, etc.