Layik Hama layik
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| w = readLines("https://raw.githubusercontent.com/layik/kurdi/master/corpus/kurdi_words.txt") | |
| length(unique(w)) == length(w) | |
| c = length(w) | |
| c == 1668692 | |
| ku_v = readLines("https://raw.githubusercontent.com/layik/kurdi/master/corpus/letters_lines.txt") | |
| message("Kurdish alphabet: ", length(ku_v), " letters.") | |
| letters_used = sapply(ku_v, function(x){ | |
| length(grep(x, w)) | |
| }) | |
| head(letters_used) |
layik
/ stats19-sanity-checks.R
Last active
October 22, 2020 08:31
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| library(stats19) | |
| n = c("caNotINac","veNotINac","acNotINca", "acNotINve") | |
| check = function(year = 2019) { | |
| if(is.null(year) || is.na(year)) stop("Year is required") | |
| ac = get_stats19(year = year, type = "ac") | |
| ca = get_stats19(year = year, type = "ca") | |
| ve = get_stats19(year = year, type = "ve") | |
| # all(ca$accident_index %in% ac$accident_index) | |
| # all(ve$accident_index %in% ac$accident_index) |
layik
/ uk-geography.R
Created
March 3, 2020 18:01
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| library(httr) | |
| r <- GET("localhost:27017") | |
| if(r$status_code != "200") { | |
| stop("Is Mongo running?") | |
| } | |
| devtools::load_all(".") | |
| library(geocoder) |
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| #!/bin/bash | |
| apt update | |
| # install on Ubuntu | |
| apt-get install postgresql postgresql-contrib -y | |
| # there is now a postgres user in /etc/passwd | |
| # easy way to start it | |
| service postgresql start |
layik
/ twitter_sentiment.R
Last active
November 17, 2019 01:35
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| packages <- c("rtweet", "stringr", "ggplot2", "tmap", | |
| "dplyr", "textdata", "tm", "tidytext", | |
| "sentimentr", "wordcloud") | |
| if (length(setdiff(packages, rownames(installed.packages()))) > 0) { | |
| install.packages(setdiff(packages, rownames(installed.packages())),repos='http://cran.us.r-project.org') | |
| } | |
| lapply(packages, library, character.only = TRUE) | |
| # ?? |
layik
/ trends-bars.R
Last active
October 13, 2019 10:26
Few lines to generate a bar chart for country trends of a particular phrase/term on Google Trends
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| # get your trends from google trends | |
| # single trend column | |
| # ***remove the first two cells from the csv downloaded*** | |
| csv = read.csv("~/Downloads/geoMap.csv", stringsAsFactors = FALSE) | |
| head(csv) | |
| names(csv) <- c("country", "count") | |
| csv$count = as.numeric(csv$count) | |
| csv = csv[complete.cases(csv), ] |
layik
/ geoplumber.html
Last active
March 20, 2019 11:03
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| <!DOCTYPE html> | |
| <!--Thanks to https://github.com/PaulLeCam/react-leaflet/blob/master/example/umd.html--> | |
| <html> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <title>Geoplumber front stand alone example</title> | |
| <link | |
| rel="stylesheet" | |
| href="https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.0/normalize.min.css" | |
| /> |
layik
/ react-standalone.html
Last active
November 10, 2021 09:51
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <title>Geoplumber exported React app</title> | |
| </head> | |
| <body> | |
| <!-- We will put our React component inside this div. --> | |
| <div id="geoplumber"></div> |