Lecture 4

Question 1

Data Wrangling

Answer 1

the process of cleaning, structuring, and transforming raw data into a format suitable for analysis.

Question 2

Aspects of Data Wrangling
(2CTIR)

Answer 2

1. Data Collection
2. Data Cleaning
3. Data Transformation
4. Data Integration
5. Data Reduction

Question 3

Data Collection

Answer 3

process of gathering data from various sources

Question 4

Data Cleaning

Answer 4

address missing values, duplicates, and inconsistencies in the dataset

Question 5

Data Tranformation

Answer 5

Convert data types, handle categorical variables, and normalize numerical features.

Question 6

Data Integration

Answer 6

Combine data from multiple sources or tables if necessary

Question 7

Data Reduction

Answer 7

Reduce the dataset’s dimensionality through techniques like feature selection or extraction.

Question 8

Data Wrangling vs Data cleaning

Answer 8

Data Wrangling: Data wrangling refers to the broader process of collecting, cleaning, and transforming raw data into a format suitable for analysis. I

Data Cleaning: a subset of data wrangling, a process of cleaning the data by handling missing values, duplicates and inconsistencies in the dataset