Data Analyst Nanodegree P2: Investigate a Dataset
Chana Greene
For the final project, you will conduct your own data analysis and create a file to share that documents your findings. You should start by taking a look at your dataset and brainstorming what questions you could answer using it. Then you should use Pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers. You will not be required to use statistics or machine learning to complete this project, but you should make it clear in your communications that your findings are tentative. This project is open-ended in that we are not looking for one right answer.
Titanic Data - Contains demographics and passenger information from 891 of the 2224 passengers and crew on board the Titanic. You can view a description of this dataset on the Kaggle website, where the data was obtained.
From the Kaggle website:
VARIABLE DESCRIPTIONS:
survival Survival
(0 = No; 1 = Yes)
pclass Passenger Class
(1 = 1st; 2 = 2nd; 3 = 3rd)
name Name
sex Sex
age Age
sibsp Number of Siblings/Spouses Aboard
parch Number of Parents/Children Aboard
ticket Ticket Number
fare Passenger Fare
cabin Cabin
embarked Port of Embarkation
(C = Cherbourg; Q = Queenstown; S = Southampton)
SPECIAL NOTES:
Pclass is a proxy for socio-economic status (SES)
1st ~ Upper; 2nd ~ Middle; 3rd ~ Lower
Age is in Years; Fractional if Age less than One (1)
If the Age is Estimated, it is in the form xx.5
With respect to the family relation variables (i.e. sibsp and parch)some relations were ignored. The following are the definitions used for sibsp and parch.
Sibling: Brother, Sister, Stepbrother, or Stepsister of Passenger Aboard Titanic
Spouse: Husband or Wife of Passenger Aboard Titanic (Mistresses and Fiances Ignored)
Parent: Mother or Father of Passenger Aboard Titanic
Child: Son, Daughter, Stepson, or Stepdaughter of Passenger Aboard Titanic
Other family relatives excluded from this study include cousins, nephews/nieces, aunts/uncles, and in-laws.
Some children travelled only with a nanny, therefore parch=0 for them. As well, some travelled with very close friends or neighbors in a village, however, the definitions do not support such relations.
Eventually you’ll want to submit your project (and share it with friends, family, and employers). Get organized before you begin. We recommend creating a single folder that will eventually contain:
Using IPython notebook, containing both the code report of findings in the same document
In [3]:
import pandas as pd
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib
%pylab inline
matplotlib.style.use('ggplot')
In [4]:
titanic_data = pd.read_csv('titanic_data.csv')
In [5]:
titanic_data.head()
Out[5]:
Once you have finished analyzing the data, create a report that shares the findings you found most interesting. You might wish to use IPython notebook to share your findings alongside the code you used to perform the analysis, but you can also use another tool if you wish.
Use the Project Rubric to review your project. If you are happy with your submission, then you're ready to submit your project. If you see room for improvement, keep working to improve your project.
