Alex Bresler

nbastatR. NBA Stats API Wrapper and more for R

fundManageR. An Investment Management toolkit for R. Because Excel is a threat to the global financial system.

realtR. Real estate brokers are the....

markovifyR. Markovify wrapper for R

gdeltr2. modern gdelt wrapper for r

forbesListR. R wrapper for the Forbes list API

bertopic. R port of bertopic

requestsR. R interface to Python requests module

blog_code. Code for ASBC Musing blog

asb_datasets. R

sklearn. R scikit-learn port

asb_r_tutorial_series. CSS

si_hackathon. Repo for my May 16th Sports Illustrated Hackathon Presentation

NBA-Data-Stuff. basic parsing and analysis of NBA data

flowingdata_tutorials. CSS

sportsTools. R package for working with sports data

nba-player-tracking. Experiments with nba player tracking data

BasketballStatsFramework. A framework for parsing play-by-play NBA data and using it to compute statistics

ramnathv.github.io. CSS

nbadraft. how effective are higher picks in the nba?

FRED_Dictionaries. FRED database series dictionary for R

bball-stats. Statistics and machine learning experiments for basketball data

NBA_PER. Looking at Player Efficiency Rating (PER) vs W/L

nba_stats. Ruby

data_miner. Download, parse, correct, and import XLS, ODS, XML, CSV, HTML, etc. into your ActiveRecord models.

usgsd. Analyze US Government Survey Data with the R Language

rscraping-intro-duke. materials for R web scraping workshop at Duke

hide_my_ass_proxy_list_ip2. Hide My Ass Proxy List (IP)

nba. Node.js client for nba.com API endpoints

FredR. FredR: R Interface to Federal Reserve Economic Data API

Teaching. Materials for classes I am teaching

openaddresses. A repository of address data.

tidyjson. Tools for using dplyr with JSON data

bbstats. Python library for aggregating basketball statistics from different leagues

slidfyDemo. JavaScript

entities. Tools for dealing with entities

awesome-R. A curated list of awesome R frameworks, packages and software.

theBioBucket-Archives. R code used in my blog theBioBucket

Coaching. One approach to quantifying an NBA coach's impact

Scraping. A comparison of Beautifulsoup in Python vs the XML library in R

statsnbaR. stats.nba.com endpoint interface for R

d3-tsline. a time-series line graph visualization using D3

courses. Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

ESPNBball. Code for visualizing relationships between 20 teams in 2 conferences-WCC and Big 12

ncaab-stats-scraper. Scraper for NCAA Basketball Stats

learnR. A gitbook for R programming language at basic and advanced levels, and its application in data transformation, statistical computing, time series analysis, data mining, financial computing, etc.

rCharts_basketball. rough prototype of d3/rCharts basketball court plot

basketballcrawler. This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis

TimelineJS. TimelineJS: A Storytelling Timeline built in JavaScript.

lubridate. Make working with dates in R just that little bit easier

Mr-Data-Converter. Takes CSV or tab-delimited data from Excel and converts it into several web-friendly formats, include JSON and XML.

devtools. Tools to make an R developer's life easier

Blog-Reference-Functions. These are functions which I have used on my blog at tonybreyal.wordpress.com

data-housing-crisis. Clean data related to the housing crisis

Random_Forest_Classification. R

stat-cookbook. The probability and statistics cookbook

StatsInTheWild. R

cartodb-r. R package to interface with CartoDB