- Have a Code of Conduct and a demonstrable commitment to diversity
- The Code of Conduct must be prominently displayed
- Sponsors and other third parties must adhere to the Code of Conduct
- Provide a mechanism for low income attendees to get reduced prices and support where the event charges more than a day's income
- Attendees encounter only non-defaulted opt-ins to marketing and future contact, especially from third parties
- The data entrusted to the event is handled with due care and consideration
- Diverse attendees' needs are considered and taken into consideration. Things like (but not limited to) large print agendas, gender neutral bathrooms, quiet rooms, family rooms, and prayer rooms are implemented to ensure a pleasant experience for all attendee
- Volunteers and organisers should receive reduced or free entry to the event
- New speakers are encouraged and offered extra support
- The speaker selection process is performed in a way that reduces possible sources of bias
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if(!require(locketweet)) | |
devtools::install_github("lockedata/locketweet") | |
library(tidyverse) | |
library(locketweet) | |
locketweet::lockedata_blog %>% | |
filter(date.x >= as.Date("2016-10-01"), | |
coalesce(tolower(author), "steph") == | |
"steph") %>% | |
select(starts_with("cat_")) %>% |
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library(recipes) | |
library(tidyverse) | |
library(AppliedPredictiveModeling) | |
data(AlzheimerDisease) | |
predictors %>% | |
cbind(diagnosis) -> | |
alzheimers | |
alzheimers %>% |
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.collapsibleTree .node circle { | |
fill: #E8830C; | |
stroke: #E8830C; | |
} | |
.collapsibleTree .node text { | |
fill: white; | |
} | |
.collapsibleTree .link { |
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library(xml2) | |
library(tidyverse) | |
## Extract any number of xml files | |
list.files(pattern="*.xml") %>% | |
map(read_xml) %>% | |
## Convert to a list to process | |
map(as_list) %>% | |
## Simplify list structure | |
map(flatten) %>% |
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## ----setup, include=FALSE------------------------------------------------ | |
library(learnr) | |
library(tidyverse) | |
library(modelr) | |
library(DBI) | |
library(odbc) | |
library(broom) | |
library(FFTrees) | |
library(caret) | |
## ----dbconn, eval=FALSE, echo=TRUE--------------------------------------- |
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--- | |
title: "Chicago Food Inspections" | |
output: html_notebook | |
--- | |
```{r setup} | |
library(readr) | |
library(dplyr) | |
readrestaurant<-function(x){ |
- [If no existing Azure subscription / credits] Azure Trial
- Locke Data Slack
- Configure Azure ML resources
- R
- R
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library(devtools) | |
install_github("lockedata/pRojects") | |
install_github("ropenscilabs/codefinch") |
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library(xml2) | |
library(urltools) | |
library(fuzzyjoin) | |
library(tibble) | |
construct_df <- function(x) { | |
urls <- xml_text(xml_find_all(x, "//d1:loc")) | |
df <- data_frame(url = urls, path = path(urls)) | |
df[!(is.na(df$path) | | |
grepl("^blog/tags", df$path)), |