Coursera Capstone Project – Data Analysis and Interpretation

Bydatapandasadmin March 31, 2016April 25, 2016

What is it

This week, I started the Data Analysis and Interpretation Capstone
by Wesleyan University on Coursera. This is the final of 5 course specialisation. The capstone project is expected to take 4 weeks. With each week tackling and doing a major component of the Project work.

What is the objective

The objective of this capstone project is to allow the candidate to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. Hence it helps us to hone our skills further to solving real world problems and scenarios.

Data given

In this project, we are given the chance to work with industry partners like the Connection (www.theconnectioninc.org) and DRIVENDATA (www.drivendata.org). We are also given access to work on leading world organisations like the World Bank. I chose to work with data on World Bank due to the impact World Bank is making globally.

I am already loving the course and capstone project as I am beginning to appreciate and recognise the link between the previous courses we learned and how to link them to finding solutions to real world and every day issues.

Watch out for my final report upon completion of the capstone project and my final thoughts and feelings about it.

Update: My final report is ready and you can check it out here:

Prediction of Adjusted Net National Income Per Capita of Countries

You can also download my full report as PDF straight into your inbox here:

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Coursera | Data Science | Python

Running a Lasso Regression Analysis – Data Analysis and Intrepretation
Bydatapandasadmin March 18, 2016October 23, 2016

Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course. My response variable, lifeexpectancy, is a quantitative response variable that measures the life expectancy of the people of Ghana. For the purposes of running the Lasso Regression Analysis, I added more variables…

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Python

Array Processing – Python Numpy – How to work with Arrays in Python

Bydatapandasadmin August 19, 2016October 23, 2016

Hi Guys, Thanks for all your emails. In this note, we will be looking at Array Processing in Python. This is part of lectures on Learning Python for Data Analysis and Visualization by Jose Portilla on Udemy. In [3]:

import numpy as np

import matplotlib.pyplot as plt

%matplotlib inline

In [4]:

1	points = np.arange(-5,5,0.01)

In [5]:

1	dx, dy = np.meshgrid(points,points)

In [6]:

Out[6]:

array([[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

...,

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99],

[-5. , -4.99, -4.98, ..., 4.97, 4.98, 4.99]])

In [7]:

Out[7]:

array([[-5. , -5. , -5. , ..., -5. , -5. , -5. ],

[-4.99, -4.99, -4.99, ..., -4.99, -4.99, -4.99],

[-4.98, -4.98, -4.98, ..., -4.98, -4.98, -4.98],

...,

[ 4.97, 4.97, 4.97, ..., 4.97, 4.97, 4.97],

[ 4.98, 4.98, 4.98, ..., 4.98, 4.98, 4.98],

[ 4.99, 4.99, 4.99, ..., 4.99, 4.99, 4.99]])

In [8]:…

Python

Python Bokeh plotting Data Exploration Visualization And Pivot Tables Analysis

Bydatapandasadmin October 4, 2016October 23, 2016

This is a quick walk through Bokeh data exploration and visualization and also python pivot_tables (credit to pbpython on the pivot_tables).Visualization Dashboard In [49]:

import sqlalchemy

import pyodbc

from pandas import DataFrame

from bokeh.plotting import figure, output_file, show

import pandas as pd

In [50]:

df = DataFrame

## connect to SqlServer Database and get information.

try:

import urllib

params = urllib.quote_plus("DRIVER={SQL Server Native Client 11.0};SERVER=.\MSSQLSERVER_ENT;DATABASE=Antrak;Trusted_Connection=yes;")

engine = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect=%s"' % params)

resoverall = engine.execute("SELECT top 10 * FROM FlightBookingsMain")

df = df(resoverall.fetchall())

df.columns = resoverall.keys()

except (RuntimeError, TypeError, NameError):

print('Error in Conneccting')

print(RuntimeError, TypeError, NameError)

finally:

print("connected")

connected

In [51]:

1 2	#lets look at the head of the dataframe df.head()

Out[51]: First Name Last Name Sex Phone Fax Email Address Booking Date Departure Date Arrival Date Address1 … Number of Passengers Total Cost Currency…

Python

Getting Stock Prices from Yahoo and plotting Python 3 Matplolib Urllib

Bydatapandasadmin September 3, 2016October 23, 2016

This is some quick notes about getting stock data from Yahoo and plotting it using Matplotlib . The Python version used is Python 3.5 Credits to sentdex. You can check him out on Youtube. In [11]:

import matplotlib.pyplot as plt

import numpy as np

import urllib

import matplotlib.dates as mdate

import urllib.request

%matplotlib inline

#%matplotlib qt

#%matplotlib notebook

# interactive popout window plot

In [12]:

#getting data from the internet

#define our converter function

def bytespdate2num(fmt, encoding='utf-8'):

strconverter = mdate.strpdate2num(fmt)

def bytesconverter(b):

s = b.decode(encoding)

return strconverter(s)

return bytesconverter

In [13]:

#define a function which will take the stock data and plot the graph

def graph_data(stock):

stock_data_url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=10y/csv'

source_code = urllib.request.urlopen(stock_data_url).read().decode()

stock_data =[]

split_source = source_code.split('\n') #split the code based on next line

#lets grab only the relevant stock data

for line in split_source:

split_line = line.split(',')

if(len(split_line))==6:

if 'values' not in line and 'labels' not in line:

stock_data.append(line)

date, closep, highp, lowp, openp, volume = np.loadtxt(stock_data, delimiter=',',unpack=True,

converters={0: bytespdate2num('%Y%m%d')})

plt.plot_date(date,closep,'-', label='Price')

plt.xlabel('Date')

plt.ylabel('Price')

plt.title('Interesting stock graph from yahoo')

plt.legend()

In [14]:

1 2	#lets plot TSLA stock prices. graph_data('TSLA')

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Python

ImportError: No module named learn.base Crab Python Fix
Bydatapandasadmin August 21, 2016November 14, 2016

I was working on Recommender System and had a problem when i tried importing from scikits.crab.recommenders.knn import UserBasedRecommender. I encountered the following error ImportError: No module named learn.base I did research on the web and found one good solution but it was in Chinese. Here is the link and credit to the original fixer :…

Read More ImportError: No module named learn.base Crab Python Fix

Python

Python PyQt Gui Basics Button Window PyQt4 Pt1

Bydatapandasadmin September 28, 2016October 23, 2016

This is just some quick scrap notes on the basics of Python GUI building using PyQt. In [1]:

import sys

from PyQt4 import QtGui, QtCore # to help add buttons

#app = QtGui.QApplication(sys.argv)

#window = QtGui.QWidget()

##set the posstion and size of the window

#window.setGeometry(50, 50, 500, 500)

##lets set the title

#window.setWindowTitle('Date Incrementor')

#window.show()

class Window(QtGui.QMainWindow):

def __init__(self):

super(Window, self).__init__()

self.setGeometry(50,50, 500, 500)

self.setWindowTitle("Date incrementor")

# self.setWindowIcon(QtGui.QIcon('logo.png'))

#self.show()

self.home()

def home(self):

#create and name a button

btn = QtGui.QPushButton("Quit", self)

#define what we will do when the button is clicked

#btn.clicked.connect(QtCore.QCoreApplication.instance().quit)

btn.clicked.connect(self.closeapplication)

#lets resisze the button

btn.resize(100,100)

#lets position the button

btn.move(100,100)

#lets show the button

self.show()

#lets create custom methods

def closeapplication(self):

print('Application closed')

sys.exit()

the ‘init‘ statements runs anytime we call call the Window class we have created and it runs all the code in the Window class the _init__ method calls the super constructor and then sets…

Coursera Capstone Project – Data Analysis and Interpretation

Running a Lasso Regression Analysis – Data Analysis and Intrepretation

Array Processing – Python Numpy – How to work with Arrays in Python

Python Bokeh plotting Data Exploration Visualization And Pivot Tables Analysis

Getting Stock Prices from Yahoo and plotting Python 3 Matplolib Urllib

ImportError: No module named learn.base Crab Python Fix

Python PyQt Gui Basics Button Window PyQt4 Pt1

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