strengejacke

// save to windows-user directory

linters: with_defaults(object_name_linter = NULL,
                       object_length_linter(50),
                       commented_code_linter = NULL,
                       object_usage_linter = NULL,
                       line_length_linter(120),
                       cyclocomp_linter = cyclocomp_linter(50))

gka

needs(dplyr, readr, reshape2, tidyr, zoo)

read_csv("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv") %>%
  rename(country = `Country/Region`,
         province = `Province/State`) %>%
  select(-Lat, -Long) %>%
  pivot_longer(-c(country, province), names_to = "date", values_to = "confirmed") %>%
  mutate(date = as.Date(date, "%m/%d/%y")) %>%
  mutate(country = ifelse(country == "China" & province == "Hong Kong",
                          "Hong Kong", country)) %>%

gene1wood

Python relative imports in AWS Lambda fail with attempted relative import with no known parent package

The Problem

In AWS Lambda if I attempt an explicit relative import like this

.
├── lambda_file.py
└── example.py

chris-prener

# Bivariate Choropleth Map
## this is based on Timo Grossenbacher and Angelo Zehr's tutorial - 
## https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/

# dependencies
library(dplyr)      # data wrangling
library(ggplot2)    # plotting
library(purrr)      # iteration
library(tidyr)      # data wrangling

eads

# -*- coding: utf-8 -*-
import csv
import os
import scrapy
from scrapy.http import FormRequest
from my_scraper.models import TableRow

END_DATE = '01/01/2019'
BASE_PATH = os.path.dirname(__file__)
ID_FILE = os.path.join(BASE_PATH, 'ids.csv')

dannguyen

Transcribing Cardi B's political speech with AWS Transcribe and command-line tools

Inspired by the following exchange on Twitter, in which someone captures and posts a valuable video onto Twitter, but doesn't have the resources to easily transcribe it for the hearing-impaired, I thought it'd be fun to try out Amazon's AWS Transcribe service to help with this problem, and to see if I could do it all from the bash command-line like a Unix dork.

The instructions and code below show how to use command-line tools/scripting and Amazon's Transcribe service to transcribe the audio from online video. tl;dr: AWS Transcribe is a pretty amaz

walkerke

library(tidycensus)
library(leaflet)
library(sf)
library(viridis)
options(tigris_use_cache = TRUE)

il1 <- get_acs(geography = "county", 
               variables = c(hhincome = "B19013_001"), 
               state = "IL", 
               geometry = TRUE) %>%

hrbrmstr

library(httr)
library(magick)
library(hrbrthemes)
library(ggplot2)

theme_tweet_rc <- function(grid = "XY", style = c("stream", "card"), retina=TRUE) {
  
  style <- match.arg(tolower(style), c("stream", "card"))
  
  switch(

duhaime

-- specify input and output directories
set infile_directory to "/Users/doug/Desktop/inputs/"
set outfile_directory to "/Users/doug/Desktop/outputs/"

-- get the basenames of each input file
tell application "System Events"
  set infile_list to files of folder infile_directory
end tell

-- process each input file

halhen

library(tidyverse)

# data from https://www.kaggle.com/bls/american-time-use-survey

df.resp <- read_csv('../data/atus/atusresp.csv')
df.act <- read_csv('../data/atus/atusact.csv', col_types=cols(tustarttim = col_character(), tustoptime = col_character())) 
df.sum <- read_csv('../data/atus/atussum.csv')

df.tmp <- df.act %>%
  mutate(activity = case_when(trtier2p == 1301 ~ 'Exercise',