Data analytics

Analyst use data to.........

• generate data

• generate insights

• share ideas

• clean data

What is data wrangling?

• Translating clean data into a more usable form

• Removing flawed data

• Transforming data into a more usable form

Which is data wrangling workflow?

• Inspect, structure, clean, enrich, validate, document&publish

• Document&publish, structure, clean, enrich, validate, inspect

• Clean, structure, inspect, enrich, validate, document&publish

How many steps in data wrangling?

• 6

• 8

• 7

How to use wrangling tools?

• Tool used for analysis

• Size of the dataset

• Number of data sources

• All answers

  are correct

The dirty data consists of incomplete, incorrect,.......

• irrelevent, inconsistent

• indecisive, irrational

• inactive, irrational

First steps in handling new data?

• Organize the data

• Inspect the data

• Backup the raw data file

What is data validation?

• Make a folder structure that is easy to navigate

• Involves making sure most common problems were identified and corrected.

• Remove unused and unnecessary data

• None

Common issues in data cleaning?

• Not fixing source of error

• Not backing up raw data

• Not allowing sufficient time

• All answers is correct

What is the next step of the analytic workflow after data wrangling?

• Data analysis and visualization

• Documenting the process

• Understand the problem and the desired outcome

• None