Continue with your mobile number
Data wrangling, also known as data munging, is the process of cleaning, structuring, and transforming raw data into a format suitable for analysis. It includes tasks such as handling missing values, correcting data inconsistencies, and reshaping data, which are essential steps before performing any analysis. Proper data wrangling ensures that datasets are accurate, complete, and compatible with analytical methods, thereby enabling reliable results. This preparatory stage is foundational to any data-driven project, as quality data directly impacts the insights and conclusions drawn from the analysis. The other options are incorrect because: • Option 1 (Generating insights from visualizations) is part of data interpretation, not wrangling. • Option 2 (Applying machine learning) is part of modeling, which occurs after data wrangling. • Option 4 (Optimizing storage) is a data engineering task, unrelated to data wrangling. • Option 5 (Validating hypotheses) is part of analysis, not the initial data preparation process.
What resources is a manger mainly concerned with?
Soil structural units having horizontal axis much longer than vertical axis. Such type of soil structure is known as
Which of the following is NOT an element of the marketing mix?
Choose the correct statement.
What is the initiative introduced in 2023 that focuses on reducing fertilizer consumption and creating awareness?
What will be the colour reaction with iodine of a plant kept in dark for few days?
Name the vegetative propagation techniques where the plant part to be cut is rooted before it is completely cut away from the parent plant.
In the preparation of audio-visual aids, the principle of ‘A’, ‘B’, ‘C’ signifies:
Which wheat rust is known as a killer disease?
The treatment of seeds with rhizobium culture and fungicides is done in: