Alex Wein a-lexwein

## bestPictureNominees2020.json
[{"movie":"Joker","totalNominations":11,"actingNominations":1,"directing":1,"directedByAWoman":0,"metacriticScore":59,"rottenTomatoesScore":68},{"movie":"1917","totalNominations":10,"actingNominations":0,"directing":1,"directedByAWoman":0,"metacriticScore":78,"rottenTomatoesScore":89},{"movie":"The Irishman","totalNominations":10,"actingNominations":2,"directing":1,"directedByAWoman":0,"metacriticScore":94,"rottenTomatoesScore":96},{"movie":"Once upon a Time....in Hollywood","totalNominations":9,"actingNominations":1,"directing":1,"directedByAWoman":0,"metacriticScore":83,"rottenTomatoesScore":85},{"movie":"JoJo Rabbit","totalNominations":6,"actingNominations":1,"directing":0,"directedByAWoman":0,"metacriticScore":58,"rottenTomatoesScore":80},{"movie":"Little Women","totalNominations":6,"actingNominations":2,"directing":0,"directedByAWoman":1,"metacriticScore":91,"rottenTomatoesScore":95},{"movie":"Marriage Story","totalNominations":6,"actingNominations":3,"directing":0,"directedByAWoman":0,"metacriticScore":

## wein-sets-and-charts.md

      
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                a-lexwein
                / wein-sets-and-charts.md
            
            
              Last active
              July 10, 2019 23:55
            
              
                Idea for a presentation/workshop on data viz and set theory
              
          
    Questions to guide feedback:

is it totally incomprehensible?
does it sound like the type of workshop you'd actually want to go to?
how do I turn this into a pitch to share with the organizers?
I've never been to an unconf before, and I'm not sure the current version is unconference-y enough. How do I make more unconference-y.
Do you know of other resources I should check out to inform my thinking here? (less important for getting the pitch out)

Sets, Relations, Functions, and Charts - a talk, maybe


## old_spotify_scrape.R
## thanks to http://www.r-bloggers.com/the-eurovision-2016-song-contest-in-an-r-shiny-app/

library(httr)
library(dplyr)
library(purrr)

## I Created a spotify developer account and was given these.
clientID = 'XXXXXXXXX'
secret = 'XXXXXXXXXX'

## talkingpie.R
library(dplyr)
library(ggplot2)
library(gganimate)

open <- c(.16, 1 - .16)
closed <- c(.02, .98)
colors <- c("#EDD63F", "#4C4C4C") # yellow and dark gray

data <- tibble(
  position = c(open, closed),

## keybase.md

      
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                a-lexwein
                / keybase.md
            
            
              Created
              August 3, 2018 18:29
            
          
    Keybase proof

I hereby claim:

I am a-lexwein on github.
I am alexwein (https://keybase.io/alexwein) on keybase.
I have a public key ASBy3YH1JeXlmpbWPcVMPLojoPhSA9QrSqHiN8nl3sWKgwo

To claim this, I am signing this object:

  
## packed-interval-chart.R
library(lubridate)
library(ggplot2)
library(dplyr)
library(viridis)


## takes playlist list and returns min and max track_added_at for each playlist:
endpoints <- lol %>%
  filter(playlist_owner == user_id) %>%
  mutate(track_added_at = as.Date(track_added_at)) %>%

## index.html
<!DOCTYPE html>
<html>
<meta charset="utf-8">

<!-- Example based on http://bl.ocks.org/mbostock/3887118 -->
<!-- Tooltip example from http://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html -->

<style>
body {
  font: 11px sans-serif;

## cereal.csv

          
            Cereal Name
            Manufacturer
            Type
            Calories
            Protein (g)
            Fat
            Sodium
            Dietary Fiber
            Carbs
            Sugars
            Display Shelf
            Potassium
            Vitamins and Minerals
            Serving Size Weight
            Cups per Serving

            
              100%_Bran
              Nabisco
              C
              70
              4
              1
              130
              10
              5
              6
              3
              280
              25
              1
              0.33

            
              100%_Natural_Bran
              Quaker Oats
              C
              120
              3
              5
              15
              2
              8
              8
              3
              135
              0
              1
              -1

            
              All-Bran
              Kelloggs
              C
              70
              4
              1
              260
              9
              7
              5
              3
              320
              25
              1
              0.33

            
              All-Bran_with_Extra_Fiber
              Kelloggs
              C
              50
              4
              0
              140
              14
              8
              0
              3
              330
              25
              1
              0.5

            
              Almond_Delight
              Ralston Purina
              C
              110
              2
              2
              200
              1
              14
              8
              3
              -1
              25
              1
              0.75

            
              Apple_Cinnamon_Cheerios
              General Mills
              C
              110
              2
              2
              180
              1.5
              10.5
              10
              1
              70
              25
              1
              0.75

            
              Apple_Jacks
              Kelloggs
              C
              110
              2
              0
              125
              1
              11
              14
              2
              30
              25
              1
              1

            
              Basic_4
              General Mills
              C
              130
              3
              2
              210
              2
              18
              8
              3
              100
              25
              1.33
              0.75

            
              Bran_Chex
              Ralston Purina
              C
              90
              2
              1
              200
              4
              15
              6
              1
              125
              25
              1
              0.67

## cereal.csv

          
            100%_Bran
            Nabisco
            C
            70
            4
            1
            130
            10
            5
            6
            3
            280
            25
            1
            0.33

            
              100%_Natural_Bran
              Quaker Oats
              C
              120
              3
              5
              15
              2
              8
              8
              3
              135
              0
              1
              -1

            
              All-Bran
              Kelloggs
              C
              70
              4
              1
              260
              9
              7
              5
              3
              320
              25
              1
              0.33

            
              All-Bran_with_Extra_Fiber
              Kelloggs
              C
              50
              4
              0
              140
              14
              8
              0
              3
              330
              25
              1
              0.5

            
              Almond_Delight
              Ralston Purina
              C
              110
              2
              2
              200
              1
              14
              8
              3
              -1
              25
              1
              0.75

            
              Apple_Cinnamon_Cheerios
              General Mills
              C
              110
              2
              2
              180
              1.5
              10.5
              10
              1
              70
              25
              1
              0.75

            
              Apple_Jacks
              Kelloggs
              C
              110
              2
              0
              125
              1
              11
              14
              2
              30
              25
              1
              1

            
              Basic_4
              General Mills
              C
              130
              3
              2
              210
              2
              18
              8
              3
              100
              25
              1.33
              0.75

            
              Bran_Chex
              Ralston Purina
              C
              90
              2
              1
              200
              4
              15
              6
              1
              125
              25
              1
              0.67
	## thanks to http://www.r-bloggers.com/the-eurovision-2016-song-contest-in-an-r-shiny-app/

	library(httr)
	library(dplyr)
	library(purrr)

	## I Created a spotify developer account and was given these.
	clientID = 'XXXXXXXXX'
	secret = 'XXXXXXXXXX'
	library(dplyr)
	library(ggplot2)
	library(gganimate)

	open <- c(.16, 1 - .16)
	closed <- c(.02, .98)
	colors <- c("#EDD63F", "#4C4C4C") # yellow and dark gray

	data <- tibble(
	position = c(open, closed),
	library(lubridate)
	library(ggplot2)
	library(dplyr)
	library(viridis)


	## takes playlist list and returns min and max track_added_at for each playlist:
	endpoints <- lol %>%
	filter(playlist_owner == user_id) %>%
	mutate(track_added_at = as.Date(track_added_at)) %>%
	<!DOCTYPE html>
	<html>
	<meta charset="utf-8">

	<!-- Example based on http://bl.ocks.org/mbostock/3887118 -->
	<!-- Tooltip example from http://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html -->

	<style>
	body {
	font: 11px sans-serif;
Cereal Name	Manufacturer	Type	Calories	Protein (g)	Fat	Sodium	Dietary Fiber	Carbs	Sugars	Display Shelf	Potassium	Vitamins and Minerals	Serving Size Weight	Cups per Serving
100%_Bran	Nabisco	C	70	4	1	130	10	5	6	3	280	25	1	0.33
100%_Natural_Bran	Quaker Oats	C	120	3	5	15	2	8	8	3	135	0	1	-1
All-Bran	Kelloggs	C	70	4	1	260	9	7	5	3	320	25	1	0.33
All-Bran_with_Extra_Fiber	Kelloggs	C	50	4	0	140	14	8	0	3	330	25	1	0.5
Almond_Delight	Ralston Purina	C	110	2	2	200	1	14	8	3	-1	25	1	0.75
Apple_Cinnamon_Cheerios	General Mills	C	110	2	2	180	1.5	10.5	10	1	70	25	1	0.75
Apple_Jacks	Kelloggs	C	110	2	0	125	1	11	14	2	30	25	1	1
Basic_4	General Mills	C	130	3	2	210	2	18	8	3	100	25	1.33	0.75
Bran_Chex	Ralston Purina	C	90	2	1	200	4	15	6	1	125	25	1	0.67