In a traditional extract–transform–load (ETL) workflow, data scrubbing performed during the transformation stage is:
A process to upgrade the quality of data before it is moved into a data warehouse.
In traditional ETL, data scrubbing improves data quality before loading into the warehouse. It corrects errors and inconsistencies, removes duplicates and standardises formats during transformation.
Important Questions from Data Analysis - Teaching
Given below are two statements:
Statement I: In two tail test, 2.5% of the area of the normal curve falls on the right of 1.96 standard deviations above the mean and 2.5% to the left of 1.96 standard deviations below the mean.
Statement II: In one tail test, for testing the difference between large sample means, a z score of 1.64 is taken as Yardstick at the 5% level of significance.
In light of the above statements, choose the most appropriate answer from the options given below:
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using the standard grouped-data interpolation formula with position 3N/4, estimate the third quartile Q₃ of the temperature distribution.
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using class midpoints, what is the estimated arithmetic mean temperature?
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using the standard grouped-data interpolation formula, what is the estimated median temperature?
S.No. Temperature/°C Numbers of stations 1 0-10 1 2 10-20 2 3 20-30 3 4 30-40 4 5 40-50 5 6 50-60 4 7 60-70 3 8 70-80 2 9 80-90 1 Answer the following questions on the basis of above table
The number of stations that recorded temperature less than 40°C:
