FrankRuns

# purpose: use changepoint algorithm to determine
# appropriate history range for statistical control charts

# 0.0 Packages ----
library(ggplot2) # for visualizations
library(gridExtra) # for plotting charts together
library(lubridate) # for data manipulations
library(tidyverse) # for piping data
library(reshape2) # for wide to long data transform
library(changepoint) # for finding change points in ts data

FrankRuns

# purpose: use changepoint algorithm to benchmark
# Piketty's time buckets for inflationary periods

# 0.0 Packages ----
library(ggplot2) # for visualizations
library(gridExtra) # for plotting charts together
library(lubridate) # for data manipulations
library(tidyverse) # for piping data
library(reshape2) # for wide to long data transform
library(changepoint) # for finding change points in ts data

FrankRuns

# packages
library(syuzhet)
library(dplyr)
library(ggplot2)

# subset of text (to start)
limiting_beliefs <- "I never had a plan for my career and now it’s too late.
I wanted to be X, but didn’t start early enough in life and now it’s too late.
I go to work to support my family, not to be fulfilled.
I can’t make enough money doing a job I want to do.

FrankRuns

# purpose: support article on scenario planning with monte carlo
# caution: this is a learning script (for me, and you)

# read packages
library(dplyr)
library(ggplot2)
library(tidyr)
library(EnvStats)
library(MASS)

FrankRuns

FrankRuns

library(tidyverse)
library(ggplot2)

# create holder data frame
data <- data.frame(magic_number=numeric(), equity_fraction=numeric(),
                  mgmt_span=numeric(), ps_fit=numeric(),
                  salary_growth=numeric())

# create ranges for variables
s_set <- 1:20

FrankRuns

# load packages
library(tidyverse)
library(ggplot2)
library(gganimate)  

# define initialization parameters
the_step <- rep(0, 5)
the_options <- c(1,2,3,4,5)

print(the_options)

FrankRuns

# python3
# this gist helps parse an osm file to identify good 
# running nodes in an area of interest

import xml.etree.cElementTree as ET  # to parse OSM file
import folium # to create map
from folium.plugins import MarkerCluster # to create map
import os # to view map
import webbrowser # to view map

FrankRuns

# Weather Underground API history call format example
# http://api.wunderground.com/api/<YOUR_API_KEY>/history_20060405/q/CA/San_Francisco.json

start_string = "http://api.wunderground.com/api/<YOUR_API_KEY>/history_"
end_string = "/q/MN/Minneapolis.json"

the_dates = ['2015-05-24', '2015-10-29', '2015-11-06', '2015-09-27',
       '2015-04-01', '2015-06-16', '2015-08-28', '2015-08-30',
       '2015-05-15', '2015-03-06', '2015-01-24', '2015-05-07',
       '2015-01-02', '2015-09-01', '2015-10-17', '2015-08-10',

FrankRuns

#!/bin/bash

# Source: http://toomuchdata.com/2012/06/25/how-to-install-python-2-7-3-on-centos-6-2/

# Install stuff #
#################

# Install development tools and some misc. necessary packages
yum -y groupinstall "Development tools"
yum -y install zlib-devel  # gen'l reqs