korkridake

# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# Seaborn Bar Chart with Annotations
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
import matplotlib.pyplot as plt
import seaborn as sns; 
sns.set(style="whitegrid", color_codes=True)
%matplotlib inline

korkridake

# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# Matplotlib Twin Axis Plots
# Description: plot histogram and line chart together in a dual-axis approach
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
import matplotlib.pyplot as plt
import seaborn as sns; 
sns.set(style="whitegrid", color_codes=True)
%matplotlib inline

korkridake

print(sc)
print(spark)
# <pyspark.sql.session.SparkSession at 0x7f8df8673ba8>

# -------------------------------------------------------------------------------
# Import PySpark Libraries
# -------------------------------------------------------------------------------
import datetime
from datetime import datetime
from pyspark.sql.functions import skewness, kurtosis

korkridake

#-------------------------------------------------------------------------------------------------------------------
# Load standard libraries
# ------------------------------------------------------------------------------------------------------------------
import os
import pandas as pd
import numpy as np
import tqdm
import warnings
warnings.filterwarnings('ignore')
from datetime import timedelta

korkridake

#-------------------------------------------------------------------------------------------------------------------
# Load standard libraries
# ------------------------------------------------------------------------------------------------------------------
import os
import pandas as pd
import numpy as np
import tqdm
import warnings
warnings.filterwarnings('ignore')
from datetime import timedelta

korkridake

print('https://stackoverflow.com/questions/26455616/how-can-i-create-basic-timestamps-or-dates-python-3-4')

import datetime

print('Timestamp: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now()))
print('Timestamp: {:%Y-%b-%d %H:%M:%S}'.format(datetime.datetime.now()))
print('Date now: %s' % datetime.datetime.now())
print('Date today: %s' % datetime.date.today())

today = datetime.date.today()

korkridake

# --------------------------------------------------------
# Typical for Loop in R
# --------------------------------------------------------
total <- 10

for(i in 1:total){
  print(i)
  Sys.sleep(0.1)
}

korkridake

print(sc)
print(spark)
# <pyspark.sql.session.SparkSession at 0x7f8df8673ba8>

# -------------------------------------------------------------------------------
# Import PySpark Libraries
# -------------------------------------------------------------------------------
import datetime
from datetime import datetime
from pyspark.sql.functions import skewness, kurtosis

korkridake

# load package
library(stringr)

# prepare the exercises data
addresses <- c("14 Pine Street, Los Angeles", "152 Redwood Street, Seattle", "8 Washington Boulevard, New York")
products <- c("TV  ", " laptop", "portable  charger", "Wireless Keybord", "   HeadPhones   ")
long_sentences <- stringr::sentences[1:10]
field_names <- c("order_number", "order_date", "customer_email", "product_title", "amount")
employee_skills <- c("John Bale (Beginner)", "Rita Murphy (Pro)", "Chris White (Pro)", "Sarah Reid (Medium)")

korkridake

# load packages
library(shiny)
library(shinydashboard)

####################
#                  #
#    Exercise 1    #
#                  #
####################
header <- dashboardHeader(