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mlb_salaries_2016.csv Salaries of players in Major League Baseball at the start of the 2016 season, from the Lahman Baseball Database. disease_democ.csv Data illustrating a controversial theory suggesting that the emergence of democratic political systems has depended largely on nations having low rates of infectious disease, from the Global ...
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Hitters Data Description. This data set is deduced from the Baseball fielding data set: fielding performance basically includes the numbers of Errors, Putouts and Assists made by each player. In order to reduce the number of observations, the was compressed by calculating the mean number of errors, putouts and assists for each team and for only ...
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Some RPG systems are protected by copyright. Even if some spell/item data is freely available, it does not mean you may redistribute cards containing such data. If you find a bug or have a feature request, post them at the Github project site.
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It started with batting average, home runs and RBIs. Then sabermetrics came along and introduced a new set of results-driven statistics. But results only tel...
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May 02, 2019 · We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R'.
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Like this project? Support it by sending a tweet. Made by @vdaubry. See source on GitHub. This project is not affiliated with the GitHub company in any way.
National League vs American League 2019. National League MLB Bat Usage. MLB Bat Sources. We track our data with our MLBtv Account. We watch each at bat and take a screen shot.
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Anyone who follows the game of baseball knows that, as Major League Baseball (MLB) progressed, different eras emerged where the amount of runs per game increased or decreased significantly. The dead ball era of the early 1900s is an example of a low scoring era and the steroid era at the turn of the 21st century is an example of a high scoring era.
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The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
I wanted to explore how to scrape web data using R.I chose to scrape data for hotel reviews from Trip Advisor. I show snippets of code below for illustrative purposes. The full code for scraping the data is in the following location. First I looked up the URL by typing the hotel name in Trip Advisor site.
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The FBI provides data on the number of firearm checks by month, state, and type — but as a PDF. The code in this GitHub repository downloads that PDF, parses it, and produces a spreadsheet/CSV of the data. Click here to download the data, which currently covers November 1998 – April 2019.
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May 28, 2015 · Analytics API baseball Book Browser Calgary Canada Car crashes CartoDB CloudStitch Coding Colour Conferences CouchDB Crime CSS csv D3 d3.js d3js Dashboard data Database data design process Data journalism dataset Data visualization Data visualization course data visualization thinking Design design process EU Football GIS HighCharts html ... Nov 13, 2018 · Minor League Baseball has a new mascot, a new team: the Fayetteville Woodpeckers. The team, based in Fayetteville, North Carolina, has adopted the endangered red-cockaded woodpecker to adorn team caps, shirts and other items. Note the bat; that bird’s been busy. Photo courtesy of the Fayetteville Woodpeckers. Take a look at the all-new mascot for the all-new Fayetteville Woodpeckers Minor ...
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FreePenguin is closing Today, 15.05.2020 FreePenguin has been closed. I would like to thank everyone for playing the game while it was alive. A part of you will probably search for another server to move on to.
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Is there a way to import data from a JSON file into R? More specifically, the file is an array of JSON objects with string fields, objects, and arrays. The RJSON Package isn't very clear on how to ...
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