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.Rhistory
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getwd()
getwd
getwd()
knitr::opts_chunk$set(echo = TRUE)
word <- c("R", "Python", "SQL", "SAS", "AWS SageMaker", "Machine Learning", "NLP", "Git", "Statistical Analysis", "Statistical Computing", "Estimation", "Inference", "Predictive Modeling", "Bayesian Statistics", "Project Management", "Research", "LaTex", "Data Visualization", "Causal Inference", "A/B Testing", "Statistical Consulting", "Java", "C", "MS Suite", "Communication", "Teamwork", "EDA", "Cloud Computing", "Data Wrangling", "Problem Solving")
count <- c(50, 50, 20, 10, 10, 40, 30, 10, 40, 30, 20, 20, 30, 20, 30, 40, 20, 30, 20, 20, 10, 5, 5, 10, 30, 30, 35, 20, 25, 20)
df <- data.frame(word, count)
View(df)
library(wordcloud2)
install.packages("wordcloud2")
library(wordcloud2)
wordcloud2(df)
letterCloud(df, word = "DATA", size = 2)
letterCloud(df, word = "D", size = 2)
letterCloud(df, word = "D", size = 5)
wordcloud2(df)
word <- c("R", "Python", "SQL", "SAS", "AWS SageMaker", "Machine Learning", "NLP", "Git", "Statistical Analysis", "Statistical Computing", "Estimation", "Inference", "Predictive Modeling", "Bayesian Statistics", "Project Management", "Research", "LaTex", "Data Visualization", "Causal Inference", "A/B Testing", "Statistical Consulting", "Java", "C", "MS Suite", "Communication", "Teamwork", "EDA", "Cloud Computing", "Data Wrangling", "Problem Solving")
freq <- c(50, 50, 20, 10, 10, 40, 30, 10, 40, 30, 20, 20, 30, 20, 30, 40, 20, 30, 20, 20, 10, 5, 5, 10, 30, 30, 35, 20, 25, 20)
df <- data.frame(word, freq)
library(wordcloud2)
wordcloud2(df)
letterCloud(df, word = "D", size = 5)
wordcloud2(df, size = .5)
wordcloud2(df, size = .1)
wordcloud2(df, size = .3)
letterCloud(df, word = "D", size = .5)
devtools::install_github("lchiffon/wordcloud2")
library(wordcloud2)
wordcloud2(df, size = .3)
letterCloud(df, word = "D", size = .5)
wordcloud2(df, size = .3)
?wordcloud2()
wordcloud2(df, size = .3, color = c("#f1c40f", "#34495e"))
letterCloud(df, word = "R", size = .5)
library(lchiffon/wordcloud2)
library(wordcloud2)
wordcloud2::letterCloud(df, word = "R", size = .5)
wordcloud2::letterCloud(df, word = "Rap", size = .5)
wordcloud2(df, size = .3, color = c("#f1c40f", "#34495e"))
wordcloud2(df, size = .3, color = c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"))
wordcloud2(df, size = .3, color = c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"), minRotation = -pi/6, maxRotation = -pi/6, rotateRatio = 1)
wordcloud2(df, size = .3, color = rep_len(c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"), nrow(df)), minRotation = -pi/6, maxRotation = -pi/6, rotateRatio = 1)
wordcloud2(df, shape = 'cardioid', color = rep_len(c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"), nrow(df)))
wordcloud2(df, size = .3, shape = 'cardioid')
wordcloud2(df, size = .3, shape = 'star')
wordcloud2(df, size = .3, shape = 'pentagon')
wordcloud2(df, size = .3, shape = 'triangle-forward')
wordcloud2(df, size = .3, shape = 'triangle')
wordcloud2(df, size = .3, color = rep_len(c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"), nrow(df)))
wordcloud2(df, size = .3, color = rep_len(c("#ecb939", "#f0c75e", "#726255", "#372e29", "#000000"), nrow(df)), minRotation = 0, maxRotation = 0)
getwd()
usethis::edit_git_config()
getwd()
contributors()