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Start learning 50% faster. Sign in nowData 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.
The Battle of Chausa was fought between which two historical figures?
On which river's bank is the archaeological site Harappa located?
Which of the Following is NOT Among the Three Jewels of Jainism?
The title of ‘Sardar’ to Vallabhbhai Patel was given by
Which colour was commonly used on pottery in Harappa?
Which of the following artifacts were found in Indus Valley Civilization?
1. Gold necklace
2. Spindle whorls
3. Copper bracelets
Which Brahmana text details the journey of King Videgha Madhava with his priest, Rishi Gautama Rahugana?
What type of dwelling is associated with the Mankidia tribe?
Who wrote the national anthem, Jana Gana Mana?
The port city of the Indus Valley Civilization was