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COG170 Chapter 9: Summaries Cogito Fundamentals August 2018 Detailed Questions With Solutions

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COG170 Chapter 9: Summaries Cogito Fundamentals August 2018 Detailed Questions With Solutions What causes of concern would we have about a table component with the following threshold settings? Column Lower Bound Upper Bound Alert Percent 34 67 Yellow Percent 0 33 Green Percent 68 Red a. Percent thresholds should divide into perfectly equal parts (e.g. 33.33, 66.66) b. The thresholds do not account for decimal percent values c. Percent values are unavailable for threshold logic d. Alerts should always be ordered from lowest to highest severity, or highest to lowest severity b. The thresholds do not account for decimal percent values

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COG170 Chapter 9: Summaries Cogito
Fundamentals August 2018 Detailed
Questions With Solutions

What causes of concern would we have about a table component with the following threshold

settings?

Column Lower Bound Upper Bound Alert

Percent 34 67 Yellow

Percent 0 33 Green

Percent 68 Red

a. Percent thresholds should divide into perfectly equal parts (e.g. 33.33, 66.66)

b. The thresholds do not account for decimal percent values

c. Percent values are unavailable for threshold logic

d. Alerts should always be ordered from lowest to highest severity, or highest to lowest severity

b. The thresholds do not account for decimal percent values




Whichever summary format the report builder chooses, they will have to specify how the data is

grouped - what does that mean? Grouping - All summarization formats fundamentally

group data by common characteristics, and then perform summarization functions on all the data

which shares that characteristic.

, COG170 Chapter 9: Summaries Cogito
Fundamentals August 2018 Detailed
Questions With Solutions
What is a summarization function? Once data has been grouped, summarization functions

aggregate the data and define how it should be displayed for each group. Choosing the wrong

summarization function can obfuscate the data.




Define - Summarization Functions - Count Tells how many non null values there are!

Count - One of the most common summarization functions is count. Counting a column means

that for each group, your summary will show how many rows in the group have a value in that

column. Count does not care what the value is, only that it exists. This means the only rows not

counted are those containing a NULL in the counted column.




Define - Summarization Functions - Count Unique How many different values! Counting

unique values in a group is very different from performing a simple count. Counting unique

values will display the number of different values stored in a column for each group. NULL

values will still not be counted.




Define - Summarization Functions - Sum Adds together - Sum is only used for numeric

columns. It adds up the values in a column for each group. When adding up numbers, neither a 0

nor a NULL will affect the total sum.

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