Characteristic of data: size
How many records (rows) and fields (columns) a dataset holds, and so how much storage it needs. Larger datasets take more space and can be slower to sort, search and process.
Understanding Characteristic of data: size in VCE Data Analysis
What it does: Multiplying records by fields gives the total number of values stored, so increasing either one makes the dataset larger and increases the storage needed. A search may have to check every record, so a dataset with a million records takes longer to search than one with a hundred records. Each row is one record, so 500 rows means 500 records. The 6 columns are fields. Size depends on how many records and fields there are. Fixing a typo does not change the count. Larger datasets take more time to sort, search and process. More records mean more storage, and sorting, searching and processing take longer.
Common mistakes: Fields are the columns of a dataset, not the rows. The number of fields should be found with COLUMNS(dataset). ROWS gives the number of records. The number of values in a dataset is records multiplied by fields, not added. It should be records * fields. More records or fields means more data to store.
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