A data analysis using python and pandas to showcase trends in school performance.

Overview

A data analysis using python and pandas to showcase trends in school performance.

Education

A data analysis to showcase trends in school performance using Pandas.

District Summary

  • District's key metrics, including:
    • Total Schools
    • Total Students
    • Total Budget
    • Average Math Score
    • Average Reading Score
    • % Passing Math (The percentage of students that passed math.)
    • % Passing Reading (The percentage of students that passed reading.)
    • % Overall Passing (The percentage of students that passed math and reading.)

School Summary

  • Key metrics about each school, including:
    • School Name
    • School Type
    • Total Students
    • Total School Budget
    • Per Student Budget
    • Average Math Score
    • Average Reading Score
    • % Passing Math (The percentage of students that passed math.)
    • % Passing Reading (The percentage of students that passed reading.)
    • % Overall Passing (The percentage of students that passed math and reading.)

Top Performing Schools (By % Overall Passing)

  • Top 5 performing schools based on % Overall Passing.
    • School Name
    • School Type
    • Total Students
    • Total School Budget
    • Per Student Budget
    • Average Math Score
    • Average Reading Score
    • % Passing Math (The percentage of students that passed math.)
    • % Passing Reading (The percentage of students that passed reading.)
    • % Overall Passing (The percentage of students that passed math and reading.)

Bottom Performing Schools (By % Overall Passing)

  • Bottom 5 performing schools based on % Overall Passing.

Math Scores by Grade**

  • Average Math Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

Reading Scores by Grade

  • Average Reading Score for students of each grade level (9th, 10th, 11th, 12th) at each school.

Scores by School Spending

  • School performances based on average Spending Ranges (Per Student).
    • Average Math Score
    • Average Reading Score
    • % Passing Math (The percentage of students that passed math.)
    • % Passing Reading (The percentage of students that passed reading.)
    • % Overall Passing (The percentage of students that passed math and reading.)

Scores by School Size

Groups based on a reasonable approximation of school size (Small, Medium, Large).

Scores by School Type

Groups based on school type (Charter vs. District).

Owner
Jimmy Faccioli
Passionate about Digital Marketing and Data Analytics - Perth, Western Australia
Jimmy Faccioli
General Assembly's 2015 Data Science course in Washington, DC

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

Kevin Markham 1.6k Jan 07, 2023
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
Projeto para realizar o RPA Challenge . Utilizando Python e as bibliotecas Selenium e Pandas.

RPA Challenge in Python Projeto para realizar o RPA Challenge (www.rpachallenge.com), utilizando Python. O objetivo deste desafio é criar um fluxo de

Henrique A. Lourenço 1 Apr 12, 2022
Powerful, efficient particle trajectory analysis in scientific Python.

freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics

Glotzer Group 195 Dec 20, 2022
Developed for analyzing the covariance for OrcVIO

about This repo is developed for analyzing the covariance for OrcVIO environment setup platform ubuntu 18.04 using conda conda env create --file envir

Sean 1 Dec 08, 2021
pyhsmm MITpyhsmm - Bayesian inference in HSMMs and HMMs. MIT

Bayesian inference in HSMMs and HMMs This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and expli

Matthew Johnson 527 Dec 04, 2022
This python script allows you to manipulate the audience data from Sl.ido surveys

Slido-Automated-VoteBot This python script allows you to manipulate the audience data from Sl.ido surveys Since Slido blocks interference from automat

Pranav Menon 1 Jan 24, 2022
Methylation/modified base calling separated from basecalling.

Remora Methylation/modified base calling separated from basecalling. Remora primarily provides an API to call modified bases for basecaller programs s

Oxford Nanopore Technologies 72 Jan 05, 2023
DaCe is a parallel programming framework that takes code in Python/NumPy and other programming languages

aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c

SPCL 330 Dec 30, 2022
Creating a statistical model to predict 10 year treasury yields

Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had

10 Oct 27, 2021
Falcon: Interactive Visual Analysis for Big Data

Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente

Vega 803 Dec 27, 2022
InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family.

CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow

2 Jan 31, 2022
My solution to the book A Collection of Data Science Take-Home Challenges

DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository

Jifu Zhao 1.5k Jan 03, 2023
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.

Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era

Tensorwerk 193 Nov 29, 2022
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

Amir Ali 2 Jun 17, 2022
University Challenge 2021 With Python

University Challenge 2021 This repository contains: The TeX file of the technical write-up describing the University / HYPER Challenge 2021 under late

2 Nov 27, 2021
Employee Turnover Analysis

Employee Turnover Analysis Submission to the DataCamp competition "Can you help reduce employee turnover?"

Jannik Wiedenhaupt 1 Feb 13, 2022
PyClustering is a Python, C++ data mining library.

pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each

Andrei Novikov 1k Jan 05, 2023
Project: Netflix Data Analysis and Visualization with Python

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

Kathrin Hälbich 2 Feb 13, 2022