tcash21

library(plotly)
library(shiny)

mtcars$key <- row.names(mtcars)
mtcars$col <- "black"
mtcars$name <- row.names(mtcars)

ui <- fluidPage(
  plotlyOutput("plot")
)

tcash21

Keybase proof

I hereby claim:

• I am tcash21 on github.
• I am tcash21 (https://keybase.io/tcash21) on keybase.
• I have a public key ASCkG9_SuHwKSbUbA-4XN6CucoDLXcR3yf-AdseMHSh6FQo

To claim this, I am signing this object:

tcash21

library(rvest)
library(jsonlite)

#/lol/summoner/v3/summoners/{summonerId}
#/lol/match/v3/matchlists/by-account/{accountId}

key <- 'Your-API-KEY'
summoner_id <- '88770698'

base_url <- 'https://na1.api.riotgames.com' 

tcash21

library(rvest)
library(tidytext)
library(stringr)
library(purrr)
library(ggplot2)
library(tidyr)

options(stringsAsFactors = FALSE)

## use phantomjs to download the webpage content (javascript-generated)

tcash21

d3.csv("../data/imdb.csv", function(data) {
  dataset = data
});


offset = 2

circles = d3.select("body")
  .append("svg")
    .attr("width", width)

tcash21

library(benford.analysis)

## read in data
counties <- read.csv(file="https://raw.githubusercontent.com/Prooffreader/election_2016_data/master/data/presidential_general_election_2016_by_county.csvhttps://raw.githubusercontent.com/Prooffreader/election_2016_data/master/data/presidential_general_election_2016_by_county.csv")

## Run Benford tests
hrc <- benford(subset(counties, name == 'H. Clinton')$votes)
trump <- benford(subset(counties, name == 'D. Trump')$votes)

## plot results

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conditionalPanel(id='loader',
        condition="($('html').hasClass('shiny-busy'))",
        img(src="spinner.gif")
),

tcash21

library(radarchart)


labs <- c(1:25)

scores <- list("Rich" = rnorm(25, 1, 10),
               "Andy" = rnorm(25, 10, 5),
               "Aimee" = rnorm(25, 20, 5))

tcash21

library(stattleshipR)
library(dplyr)
library(ggplot2)

set_token("YOUR_TOKEN_GOES_HERE")


## pull all 'team_game_logs' from the Stattleship API

## set parameters here

tcash21

install.packages("devtools")  
devtools::install_github("stattleship/stattleship-r")
install.packages('dplyr')
install.packages('ggplot2')

## Load the stattleshipR package
library(stattleshipR)  
library(dplyr)
library(ggplot2)