Understanding How & Why Non-Standardized Test Factors Predict If a NYC HS's graduation rate was at or above 90%.
Rachel Jones
With significant talk over weather or not standardizeded tests should be used, and if they are only measuring underlying variables. I wanted to create something that would enable people to understand how non-standardized test factors are related to graduation rate in order to build a greater undertanding of the scope of improvements that need to be made for graduation rates to improve outside of "people need to do better on tests" as wishes without direction are unhelpful. In order to build such understanding I aggregated data from NYC Open data sets of non-test factors from 2016-2019, and used this data to build a model that could predict weather a school was at or above the 90% graduation rate goal, and then built an interactive quiz and supporting visualizations with the aim of enableing readers to think about themselves and the factors that effect education more critically.
https://drive.google.com/file/d/1PebgfR2uo8Rsh0dCUATwuNkbXJ_8mu8P/view?usp=sharing
2015_-_2016_School_Quality_Report_Results_for_High_School.csv 2016_DOE_High_School_Directory.csv 2017_-_2018_NYC_School_Survey_Teacher_Data.xlsx 2013_-_2018_Demographic_Snapshot_School (1).csv 2017_Public_Data_File_Teacher.csv 2017_Public_Data_File_Students_DD.xlsx 2019_DOE_High_School_Directory.csv 2017_DOE_High_School_Directory.csv 2018_DOE_High_School_Directory.csv 2005_-_2020_Quality_Review_Ratings_DD.xlsx 2019-public-data-file_student (1).xlsx 2019-public-data-file_parent (1).xlsx 2019_Public_Data_File_-_Teachers.csv 2018-public-data-file_teacher (1).xlsx 2018-public-data-file_student.xlsx 2018-public-data-file_parent.xlsx 2017_Public_Data_File_Parents.csv
https://observablehq.com/d/6dda56a7914514bf@52
View this notebook in your browser by running a web server in this folder. For example:
npx http-serverOr, use the Observable Runtime to import this module directly into your application. To npm install:
npm install @observablehq/runtime@4
npm install https://api.observablehq.com/d/[email protected]?v=3Then, import your notebook and the runtime as:
import {Runtime, Inspector} from "@observablehq/runtime";
import define from "6dda56a7914514bf";To log the value of the cell named “foo”:
const runtime = new Runtime();
const main = runtime.module(define);
main.value("foo").then(value => console.log(value));