Package index • herccia

General utilities for the Civic Infrastructure Assessment

These functions and data tables are used for putting data into the CIA format, and for mapping labels from their origins’ terms to the terms used by StriveTogether.

Glossaries

Tables that map from one set of definitions to another.

GLOSSARY_OF_POPS_FOR_CIA: The literal row labels for different populations that StriveTogether wants

GLOSSARY_OF_POPS_FOR_COMPS: Group population and gender classes into three comparsions for visualization

success_subtotals(): Count up successes and failures based upon

to_wide_cia_format(): Reformat a long data frame into the CIA format

Census variables

The American Community Survey contains information about post-secondary attainment and family-sustaining employment, in addition to general counts of populations.

GLOSSARY_OF_POPS_FOR_CENSUS: Mapping from Census demographic categories to StriveTogether ones

INCOME_BRACKETS: Mapping from Census income brackets to dollar values

POSTSECONDARY_BY_LANGUAGE: Variables from the US Census to describe postsecondary completion by language spoken

POSTSECONDARY_BY_POVERTY: Variables from the US Census to describe postsecondary completion by poverty status

POSTSECONDARY_BY_SEX_AND_RACE: Variables from the US Census to describe postsecondary completion by sex and race/ethnicity

POSTSECONDARY_EDUCATION_LEVELS: Values of education levels from the US Census to describe postsecondary completion

IPEDS utilities

The US Department of Education has an Integrated Postsecondary Education Database System. These tools help with wrangling those data.

GLOSSARY_OF_POPS_FOR_IPEDS: Mapping from IPEDS populations to StriveTogether ones

SEMI_JOINS_FOR_IPEDS: IPEDS fields for calculating 150% graduation counts

wrangle_local_postsecondary_completers(): Wrangle raw IPEDS graduation data for local schools into the local 150% postsecondary completion rate

Wisconsin-specific utilities

Definitions and algorithms for converting Wisconsin data into CIA format.

GLOSSARY_OF_POPS_FOR_WISEDASH: Mapping between WISEDash Public's "GROUP_BY_VALUE" and StriveTogether's "population."

GLOSSARY_OF_POPS_FOR_WISEDASH_LOCAL: A mapping from WISEDash Local labels to StriveTogether ones.

predicate_MAP_growth(): Identify which students met or exceeded their MAP growth goals

predicate_MAP_percentile(): Identify which students met or exceeded their MAP growth goals

SEMI_JOINS_FOR_FORWARD: Use this to semi-join Forward results and only get Strive-relevant data

SEMI_JOINS_FOR_WISEDASH_LOCAL: A lookup table for mapping demographic information from WISEDash Local to StriveTogether formats

SPEC_FOR_WISEDASH_LOCAL_MAP_GROWTH: Column specification for data from WISEDash about student growth in MAP scores

SPEC_FOR_WISEDASH_LOCAL_MAP_PERCENTILES: Column specification for data from WISEDash about student MAP percentile scores

map_growth_for_k8(): Import and wrangle WISEDash Local data about students' growth on MAP reading

map_percentiles_for_kg(): Import and wrangle WISEDash Local data about Kindergartners' percentile scores on MAP reading

read_wisedash_local(): Import data from WISEDash Local into a CIA-friendly format

wisedash_local_to_strive(): Compute marginal totals for the CIA from student-level data from WISEDash Local

wisedash_public_to_strive(): Wrangle WISEDash Public data into a format ready for the CIA

wrangle_wisedash_local(): Wrangle data from WISEDash Local into a CIA-friendly format