smach

library(reactable)
library(dplyr)

red_pal <- function(x) rgb(colorRamp(c("#FFCDD2FF", "#C62828FF"))(x), maxColorValue = 255)
blue_pal <- function(x) rgb(colorRamp(c("#BBDEFBFF", "#1565C0FF"))(x), maxColorValue = 255)

mtcars %>%
  select(cyl, mpg) %>%
  reactable(
    pagination = FALSE,

smach

# 1. Scrape tables. You can do that with the Table Capture Chrome extension, or you can do it with R.

# Download the entire html document so I don't need to keep hammering the Wikipedia server


library(htmltab)
library(rvest)
library(purrr)
library(dplyr)

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library(dplyr)
library(tidyr)
library(janitor)
library(stringr)

starwars_garbage_data1 <- data.frame(
  stringsAsFactors = FALSE,
  v1 = c(
    "Character Name", "C-3PO", "Person-film ID", "2218529825", "7731900678",
    "123598423", "238952395", "6232048034", "3036308047",

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price_median1 <- readr::read_csv("https://raw.githubusercontent.com/smach/BU-dataviz-workshop-2019/master/data/zillow_data_median_sf_price.csv")
str(price_median1)
price_median2 <- read.csv("https://raw.githubusercontent.com/smach/BU-dataviz-workshop-2019/master/data/zillow_data_median_sf_price.csv")
str(price_median2)

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if(!require(pacman)){
    install.packages("pacman")
}
p_load(ggplot2, dplyr, janitor)
district <-c("A","B","C","A","B", "C")
money <-c(500,324,245,654,234, 232)
year <- c("2001", "2001", "2001", "2002", "2002", "2002")
df <- data.frame(district, money, year, stringsAsFactors = FALSE)
total_by_year <- df %>%
    group_by(year) %>%

smach

# Survey data file downloaded manually from the CDC https://www.cdc.gov/brfss/annual_data/annual_2017.html
surveydatafile <- "LLCP2017.ASC"

# I used datapasta package's df_paste() function to create the data frame below,
# after copying the metadata table into my clipboard. Metadata is here:
# https://www.cdc.gov/brfss/annual_data/2017/llcp_varlayout_17_onecolumn.html

column_meta_data <- data.frame(stringsAsFactors=FALSE,
   Starting.Column = c(1L, 17L, 19L, 19L, 21L, 23L, 32L, 36L, 36L, 63L, 64L,
                       65L, 66L, 67L, 68L, 69L, 71L, 73L, 75L, 76L, 77L, 78L,

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Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

smach

library(googleAuthR)

## set scopes for calendar
options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/calendar.readonly",
        googleAuthR.client_id = "XXXX",  ## add your Google project client Id - find it at https://console.developers.google.com/apis/credentials then click on the appropriate OAuth 2.0 client ID
        googleAuthR.client_secret = "XXXX")  ## add your Google project client secret - at same place as above

## make sure calendar API is activated for your Google Project at below URL:
# https://console.cloud.google.com/apis/api/calendar-json.googleapis.com/overview

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