Question

What are the problems that a Data Analyst can encounter while performing data analysis?

A) Lack of data
B) Overabundance of data
C) Biased data collection
D) Complete absence of outliers

Answer 1

Data Analysts can encounter problems such as lack of data, overabundance of data, biased data collection, and absence of outliers when performing data analysis.

Step-by-step explanation:

Data Analysts can encounter several problems while performing data analysis. These problems include:

1. Lack of data: Sometimes, analysts may not have enough data to perform meaningful analysis. This can limit their ability to draw accurate conclusions and make informed decisions.
2. Overabundance of data: On the other hand, analysts may have too much data to handle. Sorting through large volumes of data can be time-consuming and may lead to information overload.
3. Biased data collection: Data collection processes can introduce bias, which can affect the accuracy and reliability of the analysis. Biased data can lead to misleading results and incorrect conclusions.
4. Complete absence of outliers: Outliers are data points that significantly deviate from the average or expected values. While outliers may introduce complexity to the analysis, their complete absence can also be problematic as they may provide valuable insights into the underlying population.