View nobel.csv
We can make this file beautiful and searchable if this error is corrected: Unclosed quoted field in line 4.
year,category,prize,motivation,prize_share,laureate_id,laureate_type,full_name,birth_date,birth_city,birth_country,gender,organization_name,organization_city,organization_country,death_date,death_city,death_country | |
1901,Chemistry,The Nobel Prize in Chemistry 1901,in recognition of the extraordinary services he has rendered by the discovery of the laws of chemical dynamics and osmotic pressure in solutions,1/1,160,Individual,Jacobus H. van 't Hoff,1852-08-30,Rotterdam,the Netherlands,male,Berlin University,Berlin,Germany,1911-03-01,Berlin,Germany | |
1901,Literature,The Nobel Prize in Literature 1901,"in special recognition of his poetic composition, which gives evidence of lofty idealism, artistic perfection and a rare combination of the qualities of both heart and intellect",1/1,569,Individual,Sully Prudhomme,1839-03-16,Paris,France,male,NA,NA,NA,1907-09-07,Châtenay,France | |
1901,Medicin,The Nobel Prize in Physiology or Medicine 1901,"for his work on serum therapy, especially its application against diphtheria, b |
View get_nobel_data.R
# This R script pulls down information on all Nobel prize winners | |
# from the official Nobel Prize API and selects a subset of this | |
# information that is then saves to a CSV-file. | |
# By Rasmus Bååth, 2020, in the public domain. | |
library(tidyverse) | |
library(httr) | |
nobel_response <- GET("http://api.nobelprize.org/2.0/laureates?limit=100000&format=json") | |
nobel_raw <- as_tibble(content(nobel_response, simplifyVector = TRUE, flatten = TRUE)$laureates) |
View tidyverse_in_a_table.R
library(DT) | |
library(glue) | |
library(tidyverse) | |
package_names <- tidyverse:::core | |
tidyverse_functions <- map_dfr(package_names, function(package_name) { | |
tibble( | |
Package = package_name, | |
Function = as.character(lsf.str(glue("package:{Package}"))), |
View bayescamp_get_up_to_speed_with_bayes_test_script.R
# Prior to the tutorial make sure that the script below runs without error on your R installation. | |
# You first need to install the following packages: | |
# install.packages(c("rstanarm", "prophet", "CausalImpact", "rstan")) | |
library(rstanarm) | |
library(prophet) | |
library(CausalImpact) | |
library(rstan) | |
library(ggridges) |
View org.apache.arrow.vector.util.OversizedAllocationException_spark_error.txt
--------------------------------------------------------------------------- | |
Py4JJavaError Traceback (most recent call last) | |
in | |
----> 1 device_attack_result.count() | |
2 | |
3 | |
4 | |
/usr/lib/spark/python/pyspark/sql/dataframe.py in count(self) | |
520 2 |
View groggbloggen_2015-2019.csv
date | pageviews | |
---|---|---|
2015-01-01 | 13 | |
2015-01-02 | 27 | |
2015-01-03 | 56 | |
2015-01-04 | 18 | |
2015-01-05 | 18 | |
2015-01-06 | 8 | |
2015-01-07 | 19 | |
2015-01-08 | 32 | |
2015-01-09 | 45 |
View get_up_to_speed_with_bayes_test_script.R
# Prior to the tutorial make sure that the script below runs without error on your R installation. | |
# You first need to install the follwoing packages: | |
# install.packages(c("rstanarm", "prophet", "CausalImpact")) | |
library(rstanarm) | |
library(prophet) | |
library(CausalImpact) | |
# This will test that rstanarm works | |
# Don't be alarmed if you get a warning about "divergent transitions " |
View analyze_gnubg.R
# A barely tested R script that takes a backgammon match in any format | |
# gnubg can read, analyzes the match and returns a data frame with the analysis | |
# It requires that gnubg is readily available on the command line. | |
library(tidyverse) | |
library(jsonlite) | |
library(glue) | |
analyze_bg_match <- function(match_fname, match_format = "auto") { | |
gnubg_analysis_fname = tempfile() |
View ab_test.csv
date | group | n_purchases | |
---|---|---|---|
2017-05-01 | 0 | 124 | |
2017-05-02 | 0 | 95 | |
2017-05-03 | 0 | 147 | |
2017-05-04 | 0 | 116 | |
2017-05-05 | 0 | 219 | |
2017-05-06 | 0 | 248 | |
2017-05-07 | 0 | 132 | |
2017-05-08 | 0 | 110 | |
2017-05-09 | 0 | 114 |
View monthly_deaths.csv
date | births | deaths | |
---|---|---|---|
1841-01-01 | 254 | 37 | |
1841-02-01 | 239 | 18 | |
1841-03-01 | 277 | 12 | |
1841-04-01 | 255 | 4 | |
1841-05-01 | 255 | 2 | |
1841-06-01 | 200 | 10 | |
1841-07-01 | 190 | 16 | |
1841-08-01 | 222 | 3 | |
1841-09-01 | 213 | 4 |
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