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
AWS Glue ETL Code Samples

AWS Glue ETL Code Samples This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilit

AWS Samples 1.2k Jan 03, 2023
Modular analysis tools for neurophysiology data

Neuroanalysis Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology. Functions for runnin

Allen Institute 5 Dec 22, 2021
Data cleaning tools for Business analysis

Datacleaning datacleaning tools for Business analysis This program is made for Vicky's work. You can use it, too. 数据清洗 该数据清洗工具是为了商业分析 这个程序是为了Vicky的工作而

Lin Jian 3 Nov 16, 2021
Pandas and Spark DataFrame comparison for humans

DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand

Capital One 259 Dec 24, 2022
Anomaly Detection with R

AnomalyDetection R package AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the pre

Twitter 3.5k Dec 27, 2022
Gathering data of likes on Tinder within the past 7 days

tinder_likes_data Gathering data of Likes Sent on Tinder within the past 7 days. Versions November 25th, 2021 - Functionality to get the name and age

Alex Carter 12 Jan 05, 2023
Bamboolib - a GUI for pandas DataFrames

Community repository of bamboolib bamboolib is joining forces with Databricks. For more information, please read our announcement. Please note that th

Tobias Krabel 863 Jan 08, 2023
MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

SeungHeonDoh 3 Jul 02, 2022
TheMachineScraper 🐱‍👤 is an Information Grabber built for Machine Analysis

TheMachineScraper 🐱‍👤 is a tool made purely for analysing machine data for any reason.

doop 5 Dec 01, 2022
An extension to pandas dataframes describe function.

pandas_summary An extension to pandas dataframes describe function. The module contains DataFrameSummary object that extend describe() with: propertie

Mourad 450 Dec 30, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022
collect training and calibration data for gaze tracking

Collect Training and Calibration Data for Gaze Tracking This tool allows collecting gaze data necessary for personal calibration or training of eye-tr

Pascal 5 Dec 17, 2022
A data parser for the internal syncing data format used by Fog of World.

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data struc

Zed(Zijun) Chen 40 Dec 12, 2022
Employee Turnover Analysis

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

Jannik Wiedenhaupt 1 Feb 13, 2022
Python library for creating data pipelines with chain functional programming

PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do

Pedro Rodriguez 2.1k Jan 05, 2023
Nobel Data Analysis

Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries

Mohammed Hassan El Sayed 1 Jan 24, 2022
Integrate bus data from a variety of sources (batch processing and real time processing).

Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r

1 Nov 25, 2021
Extract data from a wide range of Internet sources into a pandas DataFrame.

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Python for Data 2.5k Jan 09, 2023
Import, connect and transform data into Excel

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

George Karakostas 1 Jan 19, 2022
PyNHD is a part of HyRiver software stack that is designed to aid in watershed analysis through web services.

A part of HyRiver software stack that provides access to NHD+ V2 data through NLDI and WaterData web services

Taher Chegini 23 Dec 14, 2022