datawookie

Keybase proof

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:

datawookie

install.packages(c(
  "aws.s3",
  "broom",
  "CEoptim",
  "fst",
  "furrr",
  "geosphere",
  "ggmap",
  "gmapsdistance",
  "googledrive",

datawookie

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

° — degree
× — times

💣 — bomb
💥 — explosion
🔥 — fire
🎉 — tada
🧯 — fire extinguisher

datawookie

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.

datawookie

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() %>%

datawookie

#!/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

datawookie

#!/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

datawookie

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]

datawookie

Some files for talk about Productivity Hacks.

Setup:

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

1. Start a tmux session. Create two horizontal panes (Ctrl-b ").
2. sudo apt update && sudo apt install -y htop r-base
3. wget -O buffon-needle.R http://bit.ly/2HieqWc

datawookie

Some files for talk about Productivity Hacks.