SAT Project - The first project I had done at General Assembly, performed EDA, data cleaning and created data visualizations

Overview

Project 1: Standardized Test Analysis by Adam Klesc

Overview

This project covers:

  • Basic statistics and probability
  • Many Python programming concepts
  • Programmatically interacting with files and directories
  • Visualizations
  • EDA
  • Working with Jupyter notebooks for development and reporting

The SAT is a standardized test that many colleges and universities in the United States require for their admissions process. This score is used along with other materials such as grade point average (GPA) and essay responses to determine whether or not a potential student will be accepted to the university.

The SAT has two sections of the test: Evidence-Based Reading and Writing and Math (source).

The SAT changed their format in 2016 to address some problems that students and schools had with their style of questions and questionable grading. The ACT surpassed the SAT in popularity due to these problems and a perception that the SAT was "class-biased" due to their questions. The ACT also did this through a lot of states make it free state-wide and a requirement to pass high school which the SAT did not catch up on.


Problem Statement

When crafting my problem statement, I really was stuck with what to really analyze and what problem to solve. But it really simplified the process for me when looking at the yearly datasets because looking at the years and the progression of both the SAT and ACT participation rates, it really clicked.

My problem statement in a short sentence is:

Has collegeboard solved the problems they were seeking to fix with the 2016 format change?

I really had to go through three factors when making my problem statement. Who is my audience, what data am I using, and what value am I bringing to my audience.

  • The first factor was fairly easy to answer, I think the people who would be most interested in the answer to my problem statement would be collegeboard and the people involved in the change to see whether their change has actually worked.

  • The second factor was what data I would use and primarily I would be using the SAT 2017-2019 data along with the ACT 2017-2019 data but over the course of the project, I added some outside sources as well.

  • The final factor in creating that problem statement was bringing clarity to the changes and whether they have been actually productive in solving what they were mean't to solve.


Datasets

Provided Data

These are the datasets I used in the process that were included in the data folder provided, I cleaned each of them but will still be sharing both the raw and cleaned datasets

Additional Data

These are the datasets I required from outside research I performed.


Data Dictionary

A dictionary compiling the primary columns from the two main datasets used throughout the analysis.

Feature Type Dataset Description
participation17 float SATTotal Participation numbers for the 2017 SAT(in decimal percentage)
participation17 float ACTTotal Participation numbers for the 2017 ACT(in decimal percentage)
participation18 float ACTTotal Participation numbers for the 2018 ACT(in decimal percentage)
participation18 float SATTotal Participation numbers for the 2018 SAT(in decimal percentage)
participation19 float SATTotal Participation numbers for the 2019 SAT(in decimal percentage)
participation19 *float( ACTTotal Participation numbers for the 2019 ACT(in decimal percentage)
total17 int SATTotal Average total score for the 2017 SAT(median score)
total18 int SATTotal Average total score for the 2018 SAT(median score)
total19 int SATTotal Average total score for the 2019 SAT(median score)
composite17 float ACTTotal Average total score for the 2017 ACT(mean score)
composite18 float ACTTotal Average total score for the 2018 ACT(mean score)
composite19 float ACTTotal Average total score for the 2019 ACT(mean score)
sat_free boolean ACTTotal/SATTotal States that have the SAT free statewide
act_free boolean ACTTotal/SATTotal States that have the ACT free statewide
population_rank float ACTTotal/SATTotal Population rank for each state
gdp_rank_19 float/int ACTTotal/SATTotal GDP rank for each state
state object SATTotal The states where the data is located
state object ACTTotal The states where the data is located

Deliverables

Notebook that contains my cleaning of data and creation of new CSV's

cleaning_and_creating.ipynb

Notebook that contains my analysis and visualization

visualization_and_analysis.ipynb

Starter Code

starter-code.ipynb

ReadMe

README-ADAMK.md

Presentation

project_1_presentation.pdf


Technical Report Starter Code

Edited structure of starter code notebook by creating individual notesbooks for cleaning and analysis + visualization. Starter code trials are complete either in those two notebooks or on the starter code itself

Notebook that contains my cleaning of data and creation of new CSV's

cleaning_and_creating.ipynb

Notebook that contains my analysis and visualization

visualization_and_analysis.ipynb

Starter Code

starter-code.ipynb


Analysis

The analysis started with understanding the problem statement, in order to do that, I had to find out the reasons why the SAT changed and look at those problems in isolation each when looking at the data to see if collegeboard has actually succeeded in solving the problems they tried to address with their change.

  • Increase participation to overtake the ACT in market-share

  • Eliminate the stigma that the SAT is class-biased and is unfair towards those of lower incomes

I narrowed it down to these two problems because of these two sources

greentestprep

cnn.com

These sources really helped clarify what the SAT was actually looking to achieve with their change and helped me in my data collection process

  • From looking at the mean and median, it was evident that the SAT was steadily gaining popularity while the ACT was losing popularity but what makes the change a great success in terms of the first problem the change was mean't to address was how the SAT was significantly more popular than the ACT in states with a higher population. The SAT has also notably been made free in 3 states after 2017 (the first full year of the SAT change), those states being Colorado, West Virginia, and Illinois. New Hampshire, Michigan, and Connecticut also made a switch to the SAT, the year of the change. It's clear that the SAT change has done wonders in improving participation and making states believers in their test.

  • This lines up with outside sources claiming that the SAT surpassed the ACT in 2019 with overall market share with 2.2 million students to the ACT's 1.8.

  • From looking at the correlation between the GDP per state + SAT Participation, it was clear to see that the change had not had the effect that was desired from collegeboard execs. The coefficient stayed the same despite the added help in a new Khan Academy course that was free to all + fee waivers (for college applications) for those who met a certain income threshold. source

  • While a lot of studies tend to disagree on the fact that the SAT is a class-biased test, it is clear that a lot of universities are taking note of the potentially inherent class disadvantage in standardized testing as a whole and have outright banned it not only for just times of a pandemic, but also for the foreseeable future. The most prominent of these universities being the University of California


In Conclusion

From my analysis, I was able to conclude that the SAT has successfully managed to overtake the ACT once again as the market leader in standardized testing due to primarily to the SAT changes made to the format and structure. It not only made the test more appealing to students but also states themselves as number of them made it free during the time between 2019 from the date of the change. This is evidenced by the fact that the SAT once again, became the market-leader in standardized testing after the ACT's regression post-SAT change. While solving participation was a massive success in both participation numbers and time, the second problem is where the SAT still needs work.

The SAT change partially occurred due to the reputation that the SAT was a class-biased test, the strange scoring of the 2400 scale and detachment from the actual school work that students were learning in school lead to the ACT being more popular and while they did fix the problem with participation, the lingering problem of class-bias is still there. With more colleges pulling away from standardized testing and geographical location being so heavily tied to participation and success, there need to be more upcoming changes to rectify this issue and make the SAT a more equitable test.

Owner
Adam Muhammad Klesc
Hopeful data scientist. Currently in General Assembly and taking their data science immersive course!
Adam Muhammad Klesc
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est

Bae, Gwangbin 138 Dec 28, 2022
This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.

TransGAN: Two Transformers Can Make One Strong GAN [YouTube Video] Paper Authors: Yifan Jiang, Shiyu Chang, Zhangyang Wang CVPR 2021 This is re-implem

Ahmet Sarigun 79 Jan 05, 2023
Self-training with Weak Supervision (NAACL 2021)

This repo holds the code for our weak supervision framework, ASTRA, described in our NAACL 2021 paper: "Self-Training with Weak Supervision"

Microsoft 148 Nov 20, 2022
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

FC-DenseNet-Tensorflow This is a re-implementation of the 100 layer tiramisu, technically a fully convolutional DenseNet, in TensorFlow (Tiramisu). Th

Hasnain Raza 121 Oct 12, 2022
AI创造营 :Metaverse启动机之重构现世,结合PaddlePaddle 和 Wechaty 创造自己的聊天机器人

paddle-wechaty-Zodiac AI创造营 :Metaverse启动机之重构现世,结合PaddlePaddle 和 Wechaty 创造自己的聊天机器人 12星座若穿越科幻剧,会拥有什么超能力呢?快来迎接你的专属超能力吧! 现在很多年轻人都喜欢看科幻剧,像是复仇者系列,里面有很多英雄、超

105 Dec 22, 2022
Everything's Talkin': Pareidolia Face Reenactment (CVPR2021)

Everything's Talkin': Pareidolia Face Reenactment (CVPR2021) Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, and Ran He [Paper], [Video

71 Dec 21, 2022
SOLOv2 on onnx & tensorRT

SOLOv2.tensorRT: NOTE: code based on WXinlong/SOLO add support to TensorRT inference onnxruntime tensorRT full_dims and dynamic shape postprocess with

47 Nov 26, 2022
Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

Joint Discriminative and Generative Learning for Person Re-identification [Project] [Paper] [YouTube] [Bilibili] [Poster] [Supp] Joint Discriminative

NVIDIA Research Projects 1.2k Dec 30, 2022
MaskTrackRCNN for video instance segmentation based on mmdetection

MaskTrackRCNN for video instance segmentation Introduction This repo serves as the official code release of the MaskTrackRCNN model for video instance

411 Jan 05, 2023
torchsummaryDynamic: support real FLOPs calculation of dynamic network or user-custom PyTorch ops

torchsummaryDynamic Improved tool of torchsummaryX. torchsummaryDynamic support real FLOPs calculation of dynamic network or user-custom PyTorch ops.

Bohong Chen 1 Jan 07, 2022
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and

Yu 1.4k Jan 01, 2023
Sandbox for training deep learning networks

Deep learning networks This repo is used to research convolutional networks primarily for computer vision tasks. For this purpose, the repo contains (

Oleg Sémery 2.7k Jan 01, 2023
Composable transformations of Python+NumPy programsComposable transformations of Python+NumPy programs

Chex Chex is a library of utilities for helping to write reliable JAX code. This includes utils to help: Instrument your code (e.g. assertions) Debug

DeepMind 506 Jan 08, 2023
Byzantine-robust decentralized learning via self-centered clipping

Byzantine-robust decentralized learning via self-centered clipping In this paper, we study the challenging task of Byzantine-robust decentralized trai

EPFL Machine Learning and Optimization Laboratory 4 Aug 27, 2022
To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.

To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.

Kunal Wadhwa 2 Jan 05, 2022
Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions"

ModelNet-C Code for the paper "Benchmarking and Analyzing Point Cloud Classification under Corruptions". For the latest updates, see: sites.google.com

Jiawei Ren 45 Dec 28, 2022
ROS Basics and TurtleSim

Waypoint Follower Anna Garverick This package draws given waypoints, then waits for a service call with a start position to send the turtle to each wa

Anna Garverick 1 Dec 13, 2021
A toolset of Python programs for signal modeling and indentification via sparse semilinear autoregressors.

SPAAR Description A toolset of Python programs for signal modeling via sparse semilinear autoregressors. References Vides, F. (2021). Computing Semili

Fredy Vides 0 Oct 30, 2021
Github project for Attention-guided Temporal Coherent Video Object Matting.

Attention-guided Temporal Coherent Video Object Matting This is the Github project for our paper Attention-guided Temporal Coherent Video Object Matti

71 Dec 19, 2022
MLOps will help you to understand how to build a Continuous Integration and Continuous Delivery pipeline for an ML/AI project.

page_type languages products description sample python azure azure-machine-learning-service azure-devops Code which demonstrates how to set up and ope

1 Nov 01, 2021