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license: gpl-3.0
height: 1100
border: no

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After editing .gitignore to match the ignored files, you can do git ls-files -ci --exclude-standard to see the files that are included in the exclude lists; you can then do git ls-files -ci --exclude-standard -z | xargs -0 git rm --cached to remove them from the repository (without deleting them from disk).

Edit: You can also add this as an alias in your .gitconfig file so you can run it anytime you like. Just add the following line under the [alias] section:

    apply-gitignore = !git ls-files -ci --exclude-standard -z | xargs -0r git rm --cached
(The -r flag in xargs prevents git rm from running on an empty result and printing out its usage message.)

Now you can just type git apply-gitignore in your repo, and it'll do the work for you!

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#! /usr/bin/env python

import json
import time
import shelve
import urllib
import urllib.request

DB = 'flights'
API = "http://www.flightradar24.com/zones/full_all.json"

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doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("sna", "ggplot2", "Hmisc", "reshape2")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Empty ggplot2 theme
new_theme_empty <- theme_bw()
new_theme_empty$line <- element_blank()
new_theme_empty$rect <- element_blank()
new_theme_empty$strip.text <- element_blank()

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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',

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// @file signup.jade
// @path /templates/views/user/signup.jade
// @description Form that user sees when signing up.
//

extends ../../layouts/default

block intro
	.container
		h1= 'Sign up for Little B.O.M'

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Reusable slopegraph inspired/adapted from Ben Van Dyke's example into a reusable chart.

This slopegraph example shows the number of personal computers installed in a country per household. This includes desktop PCs and laptops, but excludes smartphones and terminals connected to mainframe computers. All figures are calculated using total number of Personal Computers and the Total Number of Households.

data source

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license: mit
scrolling: true
height: 300

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This is an example of how to scaffold API endpoints to list / get / create / update / delete Posts in a Keystone website.

It's a modification of the default project created with the yo keystone generator (see https://github.com/JedWatson/generator-keystone)

Gists don't let you specify full paths, so in the project structure the files would be:

routes-index.js        -->    /routes/index.js         // modified to add the api endpoints
routes-api-posts.js    -->    /routes/api/posts.js     // new file containing the Post API route controllers

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live_state	born_state	1900	1910	1920	1930	1940	1950	1960	1970	1980	1990	2000	2012
Florida	Alabama	0.0477	0.0484	0.0541	0.0508	0.0555	0.0554	0.0458	0.0344	0.0259	0.0197	0.0145	0.0102
Florida	Alaska	0.0000	0.0000	0.0000	0.0000	0.0001	0.0000	0.0002	0.0004	0.0005	0.0005	0.0005	0.0008
Florida	Arizona	0.0000	0.0000	0.0000	0.0001	0.0004	0.0003	0.0004	0.0007	0.0008	0.0011	0.0014	0.0015
Florida	Arkansas	0.0007	0.0009	0.0021	0.0035	0.0024	0.0040	0.0040	0.0043	0.0032	0.0030	0.0025	0.0022
Florida	California	0.0003	0.0003	0.0009	0.0006	0.0017	0.0032	0.0056	0.0074	0.0086	0.0104	0.0131	0.0141
Florida	Colorado	0.0001	0.0001	0.0006	0.0004	0.0008	0.0008	0.0013	0.0017	0.0018	0.0024	0.0024	0.0026
Florida	Connecticut	0.0018	0.0025	0.0018	0.0032	0.0043	0.0058	0.0076	0.0089	0.0106	0.0111	0.0112	0.0097
Florida	Delaware	0.0002	0.0004	0.0010	0.0004	0.0005	0.0007	0.0009	0.0012	0.0013	0.0013	0.0013	0.0014
Florida	District of Columbia	0.0004	0.0005	0.0005	0.0012	0.0011	0.0019	0.0036	0.0028	0.0035	0.0037	0.0035	0.0028