SQL analytic functions that can be used for calculating cumulative distributions for ordered columns include:

a. RATIO_TO_REPORT: This function computes the ratio of a value to the sum of a set of values. If you have a column of numbers and you want to understand the ratio of each number to the total sum of numbers, you can use this function.

b. CUME_DIST: This function computes the relative position of a specified value in a group of values. For example, for a list of numbers sorted in ascending order, the CUME_DIST of the first number is 1 divided by the count of numbers.

c. PERCENT_RANK: This function calculates the percentile rank of a value in a group of values. It gives the proportion of scores in a distribution that a specific score is greater than or equal to.

d. DENSE_RANK: This function ranks items in a group of values, without any gaps in the ranking sequence when there are equal values. That is, if you have three items with equal values, they receive the same rank, and the next rank in the sequence is not skipped.

These functions can be used in the SELECT, ORDER BY, and WHERE clauses of a query. They are useful for tasks such as normalizing data, calculating cumulative distributions, and ranking results.

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SQL analytic functions that can be used for calculating cumulative distributions for ordered columns include:

a. RATIO_TO_REPORT: This function computes the ratio of a value to the sum of a set of values. If you have a column of numbers and you want to understand the ratio of each number to the total sum of numbers, you can use this function.

b. CUME_DIST: This function computes the relative position of a specified value in a group of values. For example, for a list of numbers sorted in ascending order, the CUME_DIST of the first number is 1 divided by the count of numbers.

c. PERCENT_RANK: This function calculates the percentile rank of a value in a group of values. It gives the proportion of scores in a distribution that a specific score is greater than or equal to.

d. DENSE_RANK: This function ranks items in a group of values, without any gaps in the ranking sequence when there are equal values. That is, if you have three items with equal values, they receive the same rank, and the next rank in the sequence is not skipped.

These functions can be used in the SELECT, ORDER BY, and WHERE clauses of a query. They are useful for tasks such as normalizing data, calculating cumulative distributions, and ranking results.

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SQL analytic functions that can be used for calculating cumulative distributions for ordered columns include:

a. RATIO_TO_REPORT: This function computes the ratio of a value to the sum of a set of values. If you have a column of numbers and you want to understand the ratio of each number to the total sum of numbers, you can use this function.

b. CUME_DIST: This function computes the relative position of a specified value in a group of values. For example, for a list of numbers sorted in ascending order, the CUME_DIST of the first number is 1 divided by the count of numbers.

c. PERCENT_RANK: This function calculates the percentile rank of a value in a group of values. It gives the proportion of scores in a distribution that a specific score is greater than or equal to.

d. DENSE_RANK: This function ranks items in a group of values, without any gaps in the ranking sequence when there are equal values. That is, if you have three items with equal values, they receive the same rank, and the next rank in the sequence is not skipped.

These functions can be used in the SELECT, ORDER BY, and WHERE clauses of a query. They are useful for tasks such as normalizing data, calculating cumulative distributions, and ranking results.

Identify SQL analytic functions for calculating cumulative distributions for ordered columns.Question 6Answera.RATIO_TO_REPORTb.CUME_DISTc.PERCENT_RANKd.DENSE_RANK

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