Akash-Ansari

######################################  Scraping Bdjobs.com  ##############################################
# For selecting css elements, I have used the Chrome Extension "SelectorGadget" along 
# with the "rvest" (version: 0.3.2) and "xml2" packages.

# Machine Info :
#   R version 3.2.3 (2015-12-10)
#   Platform: x86_64-w64-mingw32/x64 (64-bit)
#   Running under: Windows 7 x64 (build 7600)

# To check yours type version OR sessionInfo()

Akash-Ansari

Please Upload this file to the server.

http://extratorrent.cc/torrent/5291977/Udemy+-+Case+Studies+in+Data+Mining+with+R.html

Akash-Ansari

# Printing prime numbers upto a certain number


def is_prime(num):
  for i in range(2, num):
    if (num % i) == 0:
      return False
  return True
  
  

Akash-Ansari

# Calculating Area for Rectangle and Circle


import math

def get_area(shape):
    shape = shape.lower()
    
    if shape == "rectangle":
        rectangle_area()   

Akash-Ansari

# Reading a text file
# Steps:

filename = "Huck_finn.txt"
file = open(filename, mode = "r")
text = file.read()
print(text)
print(file.closed) # returns boolean value; indicates that the file is closed or not.
file.close() # closes the file

Akash-Ansari

########################################## Importing Data in Python (Part 2) #############################################

########################################## Importing flat files from the web: your turn! #################################
# You are about to import your first file from the web! The flat file you will import will be 'winequality-red.csv' from the University # of California, Irvine's Machine Learning repository. The flat file contains tabular data of physiochemical properties of red wine, 
# such as pH, alcohol content and citric acid content, along with wine quality rating.

# The URL of the file is

Akash-Ansari

###################################################### Loading and viewing your data ###########################################
# In this chapter, you're going to look at a subset of the Department of Buildings Job Application Filings dataset from the NYC Open 
# Data portal. (https://opendata.cityofnewyork.us/) This dataset consists of job applications filed on January 22, 2017.

# Your first task is to load this dataset into a DataFrame and then inspect it using the .head() and .tail() methods. However, you'll 
# find out very quickly that the printed results don't allow you to see everything you need, since there are too many columns.