Free Online Flashcard Deck

7 Basic Spreadsheet Data Analysis Free Online FlashCards

Study 7 Basic Spreadsheet Data Analysis with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What are the five stages of a repeatable spreadsheet analysis?

Back

Frame the question, prepare the data, analyze it, check the result, and communicate what it means. Treat the process as iterative.

02
Front

What four elements make a spreadsheet analysis question specific?

Back

Define the measure, group, scope, and comparison. For example, total revenue, by region, for a particular quarter, compared across regions.

03
Front

Why preserve an untouched copy of the original data?

Back

Keep an untouched copy of the original and do cleaning and analysis in a separate sheet or copy. This prevents changes from overwriting the source data.

04
Front

What structure makes a spreadsheet dataset dependable to analyze?

Back

Use one row per observation, one column per variable, and one clear header row. Avoid merged cells, repeated headers, and blank rows inside the data.

05
Front

What data quality issues should you check before analysis?

Back

Check for missing values, duplicate records, impossible values, and unexpected categories. Determine whether an issue is truly an error before changing the data.

06
Front

How does a spreadsheet formula differ from a function?

Back

A formula calculates using cell references; a function is a built-in calculation used within a formula.

07
Front

When can the median represent data better than the mean?

Back

The mean is the arithmetic average and can be affected by unusually large or small values. The median is the middle value in ordered data and is often more representative when values are skewed.

08
Front

What does filtering do to rows that do not meet a condition?

Back

Filtering hides rows that do not meet a condition; it does not remove those rows from the source data.

09
Front

How should a PivotTable summarize revenue by region?

Back

Put the group field in Rows and the measure in Values, summarized with the appropriate calculation, such as Sum for total revenue by region.

10
Front

Which chart types suit group comparisons and changes over time?

Back

Use a column or bar chart to compare sales across regions, and a line chart to show change over time.

11
Front

How can you independently check a PivotTable grand total?

Back

Compare the PivotTable grand total with a separate calculation such as =SUM(E2:E101). Agreement provides a check on the result.

12
Front

How should you respond to a surprising outlier?

Back

An outlier may be a legitimate event, a data-entry problem, or a different unit. Inspect the original record before deciding what to do with it.