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This function both reads a raw CSV output from WISEDash Local and wrangles it into a CIA-friendly format. In particular, it converts the percentile scores into counts of Kindergarten readiness by considering any percentile above the .standard argument to be "ready."

Usage

map_percentiles_for_kg(.filepath, .standard)

Arguments

.filepath

string, one or more full paths to raw data files

.standard

float, the minimum percentile to count as proficient. 0-100 scale.

Value

a data frame with 9 columns

Details

The returned value will have the following structure:

File Name

The basename() of the .filepath argument

Gender

A gender identity like "All," "Female," "Male," or "Non-binary."

Race/Ethnicity

A racial or ethnic identity from WISEDash's options

EL

Whether ("Yes") or not ("No") a student is an English Language Learner

School Year

The school year in YY-YY format

N

The number of children in a combination of Gender, Race, and EL with percentile scores that exceeded the .standard

D

The number of children in a combination of Gender, Race, and EL

Year

The school year in YYYY-YYYY format

Grade

Always "KG"