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Batch-01_BSc_Semester-01_Basics Of Data Analytics

Batch-01_BSc_Semester-01_Basics Of Data Analytics

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Descriptive analytics helps to uncover:

Patterns and trends in historical data

✅

Hidden future trends

❌

Advanced machine learning models

❌

Data encryption techniques

❌

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According to the dataset, most valuable insights are often:

Hidden within existing data

Ignored during analysis

Found directly in raw data

❌

Created after data encryption

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Constructing a BMI feature using weight and height is an example of:

In hierarchical data, we can only perform calculations when it is in the long format.

Hierarchical data must have an equal number of lower tier records for each higher tier record.

The long format of hierarchical data usually has more rows than columns.

All the products purchased in March 2025

Outer Join from Table A to Table B

Outer Join from Table B to Table C

Inner Join from Table B to Table C

Inner Join from Table A to Table B

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All customers and their March 2025 orders for those who placed orders

Outer Join from Table A to Table B

Union of Table A to Table B

Left Join of Table A to Table B

Inner Join from Table A to Table B

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All products sold in March 2025 and the customers who purchased them

Outer Join from Table A to Table B, then Outer Join to Table C

100%

Left Join from Table A to Table C, then Right Join to Table B

Inner Join from Table A to Table B, then Inner Join to Table C

Outer Join from Table A to Table C, then Left Join to Table B

View this question

All the Customers who have placed orders in March 2025

Right Join from Table A to Table B

Outer Join from Table A to Table B

Left Join from Table A to Table B

100%

Inner Join from Table A to Table B

View this question

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