Jeremy Wiebe jrwiebe
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| <!-- Insert at line 761 to use month and year if there is an issue | |
| number, and just year if there is no issue. If you prefer to only | |
| ever use the year, replace the <choose> block with: | |
| <date variable="issued" form="numeric" date-parts="year"/> | |
| --> | |
| <if type="article-journal" match="any"> | |
| <group delimiter=" "> | |
| <choose> | |
| <if variable="volume issue" match="all"> | |
| <date variable="issued" form="text" date-parts="year-month"/> |
jrwiebe
/ 7eleven-stores-city-ca.R
Created
July 7, 2018 05:29
7-Elevens by city (an exercise in learning R). Generate list of North American stores ("all-na.csv") with "getsevs.sh" before running R scripts.
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| ca_cities <- read.csv(url("https://simplemaps.com/static/data/country-cities/ca/ca.csv")) | |
| # add cities to table that will be in top 10 list | |
| missing_1 <- c("Burnaby","","","Canada","CA","British Columbia","",232755,232755) | |
| missing_2 <- c("Surrey","","","Canada","CA","British Columbia","",517887,517887) | |
| missing_df <- data.frame(rbind(missing_1, missing_2)) | |
| names(missing_df) <- names(ca_cities) | |
| ca_cities <- rbind.data.frame(ca_cities,missing_df) | |
| prov_names <- c("British Columbia", "Alberta", "Saskatchewan", "Manitoba", "Ontario", "Québec", "New Brunswick", "Nova Scotia", "Prince Edward Island", "Newfoundland and Labrador", "Nunavut", "Northwest Territories", "Yukon") | |
| prov_abb <- c("BC", "AB", "SK", "MB", "ON", "QC", "NB", "NS", "PE", "NL", "NU", "NT", "YT") | |
| names(prov_abb) <- prov_names |
jrwiebe
/ 7eleven-stores-city-ca.R
Last active
July 7, 2018 05:26
7-Elevens by city (an exercise in learning R). Generate list of North American stores ("all-na.csv") with "getsevs.sh".
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| ca_cities <- read.csv(url("https://simplemaps.com/static/data/country-cities/ca/ca.csv")) | |
| # add cities to table that will be in top 10 list | |
| missing_1 <- c("Burnaby","","","Canada","CA","British Columbia","",232755,232755) | |
| missing_2 <- c("Surrey","","","Canada","CA","British Columbia","",517887,517887) | |
| missing_df <- data.frame(rbind(missing_1, missing_2)) | |
| names(missing_df) <- names(ca_cities) | |
| ca_cities <- rbind.data.frame(ca_cities,missing_df) | |
| prov_names <- c("British Columbia", "Alberta", "Saskatchewan", "Manitoba", "Ontario", "Québec", "New Brunswick", "Nova Scotia", "Prince Edward Island", "Newfoundland and Labrador", "Nunavut", "Northwest Territories", "Yukon") | |
| prov_abb <- c("BC", "AB", "SK", "MB", "ON", "QC", "NB", "NS", "PE", "NL", "NU", "NT", "YT") | |
| names(prov_abb) <- prov_names |
jrwiebe
/ gettweets.sh
Last active
April 13, 2018 16:21
I noticed realDonaldTrump seemed to take a long time to write linked tweets, so I created this silly script to generate some stats.
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| #!/bin/bash | |
| # This script requires 'wget' | |
| current_year=`date '+%Y'` | |
| ### You can edit these values ### | |
| start_year=2017 | |
| end_year=$current_year | |
| outfile="condensed_all.json" | |
| ################################# |