IST718 LAB6

1 minute read

PRETTY GRAPHS

Average Home Value by State

Largest Home Value Averages, by State

(number is the price of the highest zip code average )

THE BIG DF (all 30k)

2-24-20

Finally Getting to play with the BIG df

30k

In an effort to avoid what happened last time, I’m going to address all clear questions upfront

Before going on side quests

2-6-20

V1

Struggling getting them on all one plot while telling the whole story

V1 – i2

PLOTS

PDF

plot1

plot2


2-12-20

Struggling with prophet and monthly vs daily graphs

PEYTON + LA

WK4 ASYNC

2-12-20 AFTERNOON

GOAL: Graphs for each state

GRAPHS FOR EACH STATE

PROPHET FOR EACH STATE

COMPONENT GRAPHS FOR EACH STATE, labeled

GOAL: Graphs for each zip code in Glendale

(BIG GOAL: Practicing small so I can loop and make big)

GLENDALE GRAPHS

Where to invest in Glendale?

Glendale Zips

GLENDALE GRAPHS WITH TABLE

LA-i4

LA-i5

LA-i6

LA Zips

Best in LA

2-13-20

LAB6_ALL

LAB6_ALL_i2


LAB6_LA_i6

LAB6_LA_i7

LAB6_STATES

LAB6_i5

LAB6_i6

“NIGHT FILE” (file to be run at night)

Night File

Night File, By State

ALL CODE FILES FROM PROJECT:

NOTES TO SELF:

MESSY – https://colab.research.google.com/github/2SUBDA/Breakouts/blob/Week4/TimeForRetailProphet.ipynb CLEANER – https://colab.research.google.com/drive/12hsScBfd9wlKGXS6yrfwYHPhCDmcu_Qa#scrollTo=HUA4-hBYgnre INSTRUCTIONS – file:///Users/danielcaraway/Documents/IST_718Big_Data/laboratory_exercise-_2.pdf

RESOURCES: http://financeandpython.com/SeabornDataVisualization/6/2.html https://matplotlib.org/gallery/recipes/common_date_problems.html

Pre-Peyton

FB Quickstart

FB – MONTHLY “non daily”

jupyter nbconvert –to html IST718_LAB6_i2.ipynb