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.
Who made the use of Gun powder common in North India to defeat enemies?
By which of the following Acts did the British, for the first time, introduce the system of indirect election in India?
The Non-Cooperation Movement was launched in the year.
Where has India’s first floating elementary school been inaugurated?
Which country refused permission for an Indian wheat consignment due to phytosanitary concerns in June 2022?
Abhijit Vinayak Banerjee was awarded the 2019 Nobel Memorial Prize in:
Highest coastal area is found in which state of India?
The Prarthana Samaj was established at ________in the year 1867.
The season for torrential downpours, often accompanied by hail, associated with violent winds, and localized thunderstorms. In West Bengal, these kinds ...
Shogatsu is the New Year festival of which of the following countries?