Andrew Collier datawookie

I hereby claim:

I am datawookie on github.
I am datawookie (https://keybase.io/datawookie) on keybase.
I have a public key whose fingerprint is F835 3643 5C64 6895 617E B3D1 196E B595 5F70 8E76

To claim this, I am signing this object:

Some files for talk about Productivity Hacks.

Setup:

Launch a t2.2xlarge instance (8 cores) on AWS.

Some files for talk about Productivity Hacks.

	https://github.com/muan/unicode-emoji-json

	° — degree
	× — times

	🇿🇦
	🇬🇧

	🛜 — wireless
	🔗 — link

	But invariably, simple models and a lot of data trump more elaborate models based on less data.
	— Halevy, Alon, Peter Norvig, and Fernando Pereira. 2009. The Unreasonable Effectiveness of Data. IEEE Intelligent Systems 24 (2) (March): 8-12. doi:10.1109/MIS.2009.36.

	Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.
	— Clifford Stoll

	Errors using inadequate data are much less than those using no data at all.
	— Charles Babbage

	I never guess. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

	library(DBI)
	library(readr)
	library(htmlTable)
	library(dplyr)
	library(janitor)

	springer_search <- read_csv("https://link.springer.com/search/csv?previous-end-year=2020&facet-content-type=%22Book%22&date-facet-mode=in&previous-start-year=2020&facet-language=%22En%22&showAll=false&query=&facet-start-year=2020&facet-end-year=2020")

	springer_search <- springer_search %>%
	clean_names() %>%

	#!/bin/bash

	# $ s3-backup data-file.txt s3://my-backup-folder
	#
	# Install under /usr/bin/ if it will be run from cron.

	FILEPATH=$1
	FILENAME=`basename $FILEPATH`
	FILEDATE=`date +%Y%m%d-%H%M`-$FILENAME

	#!/bin/bash

	# Created a dated version of a file and persist on S3.
	#
	# Usage:
	#
	# dated-backup.sh file-to-backup.txt s3://name-of-bucket/

	FILE=$1
	BUCKET=$2

	functions { # User-defined functions [Optional]
	}
	data { # Data (external) [Optional]
	}
	transformed data { # Preprocess data [Optional]
	}

	parameters { # Model parameters (must precede model) [Mandatory]
	}
	transformed parameters { # Preprocess parameters [Optional]