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Justin Gage gagejustins

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@gagejustins
gagejustins / jordan_prices.csv
Created May 19, 2019 17:48
date value
11/1/15 300
12/1/15 378.375
1/1/16 333.7916667
2/1/16 330.7696078
3/1/16 347.2945545
4/1/16 363.2814465
5/1/16 323.4774096
6/1/16 288.9470878
7/1/16 284.7981057
@gagejustins
gagejustins / jordan_releases.csv
Last active May 12, 2019 23:57
date value
9/1/85 1
1/1/89 3
2/1/90 1
1/1/91 1
1/1/92 1
2/1/92 1
4/1/92 1
5/1/92 1
11/1/92 1
@gagejustins
gagejustins / jordan_premiums_by_model.csv
Last active May 12, 2019 16:52
name value
1 1.816577209
2 0.915437529
3 1.221136923
4 1.390603567
5 1.159949732
6 1.171404077
7 1.10246083
8 1.087708447
9 1.135507155
@gagejustins
gagejustins / radial_bar_chart_test.csv
Created May 12, 2019 14:56
name value
A .08167
B .01492
C .02782
D .04253
E .12702
F .02288
G .02015
H .06094
I .06966
@gagejustins
gagejustins / sneakers_and_accessories.csv
Created April 14, 2019 18:14
date accessories sneakers
10/1/17 1.896627168 1.838794332
11/1/17 1.94401401 1.739707228
12/1/17 1.921166761 1.824052705
1/1/18 1.99704023 2.06511041
2/1/18 2.04277584 2.003361492
3/1/18 1.845112974 1.62430097
4/1/18 1.737910393 1.55535178
5/1/18 1.677839147 1.626807553
6/1/18 1.552204215 1.429075154
@gagejustins
gagejustins / box_crewneck.csv
Last active March 5, 2019 23:49
sale_date sale_price
2018-12-03 4.5552375918112222
2018-12-10 3.9042580316765445
2018-12-17 3.7101137715418639
2018-12-24 3.7901464902186421
2018-12-31 3.7484495324438365
2019-01-07 3.7578998312236287
2019-01-14 3.8196466413502108
2019-01-21 3.7853349909584084
2019-01-28 3.7413680917124434
@gagejustins
gagejustins / premiums_by_category.csv
Last active March 5, 2019 03:47
id category name value group
1 Bags supreme-small-shoulder-bag-black 4.49 high
2 Bags supreme-waist-bag-ss17-black 3.71 medium
3 Bags supreme-shoulder-bag-red 3.21 medium
4 Bags supreme-shoulder-bag-white 3.17 medium
5 Bags supreme-shoulder-bag-ss18-red 2.94 low
6 Bags supreme-shoulder-bag-ss18-tan 2.76 low
7 Bags supreme-shoulder-bag-ss18-black 2.61 low
8 Bags supreme-shoulder-bag-black 2.59 low
9 Bags supreme-shoulder-bag-dark-teal 2.52 low
@gagejustins
gagejustins / sneakers.csv
Last active February 25, 2019 00:58
sneaker_name sneaker_id count_wears brand wears_group
UltraBoost V4 White 1 3 Adidas medium
Boost 350 V2 White 2 1 Adidas low
Bball Low (Old) White 3 1 Common Projects low
Bball Low Nude 4 5 Common Projects high
Bball Low White 5 7 Common Projects high
Bball Low Gray 6 7 Common Projects high
Bball Low Taupe Suede 7 8 Common Projects high
React Element 87 Brown 9 1 Nike low
Blazer Low Pink 10 1 Nike low
@gagejustins
gagejustins / nikexoff_white_new.csv
Last active February 20, 2019 02:52
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 32 columns, instead of 26 in line 4.
sale_date,Zoom Fly Mercurial (Total Orange),Zoom Fly Mercurial (Black),Zoom Fly (Tulip Pink),Zoom Fly (The Ten),Zoom Fly (Black),React Hyperdunk (The Ten),Jordan 1 High (White),Jordan 1 High (University Blue),Jordan 1 High (Chicago),Converse Chuck Taylor Hi (The Ten),Converse Chuck Taylor 70s Hi,Blazer Mid (The Ten),Blazer Mid (Serena Pack),Blazer Mid (Grim Reaper),Blazer Mid (All Hallow's Eve),Air VaporMax (The Ten),Air VaporMax (Black),Air Presto (White),Air Presto (The Ten),Air Presto (Black),Air Max 97 (The Ten),Air Max 97 (Serena Pack),Air Max 97 (Menta),Air Max 97 (Black),Air Max 90 (The Ten),Air Max 90 (Desert Ore),Air Max 90 (Black),AF1 Low (Volt),AF1 Low (The Ten),AF1 Low (ComplexCon),AF1 Low (Black)
2017-08-20 00:00:00,,,,,,,,,1800,,,,,,,,,,,,,,,,,,,,,,
2017-08-27 00:00:00,,,,,,,,,2100,,,,,,,,,,,,,,,,,,,,,,
2017-09-10 00:00:00,,,,,,,,,2547.666667,,,811.2903226,,,,1498.235294,,,1313.046512,,,,,,1005.055556,,,,,,
2017-09-17 00:00:00,,,,,,,,,2040.114286,,,676.4583333,,,,1121.761194,,,1212.152542,,,,,,8
@gagejustins
gagejustins / airflow.py
Last active February 10, 2019 15:21
from airflow import DAG
from airflow.operators import PythonOperator
from datetime import datetime
dag = DAG(
dag_id = 'my_first_dag',
start_date = datetime(2019,1,15),
schedule_interval = '0 2 * * *')
def print_hello():