Continuing with Outlook on Life Surveys 2012 dataset I’ve been working with, in this assignment, I run my first program in Python that showing frequency distributions for my chosen variables and columns, possibly rows, etc. I uploaded the code (.py file) in my Github account on this following link: assignment2.py. The code executes like a charm and produces result as can be seen in text file here.
These are the outputs displays three of variables as frequency tables. I renamed the original label with its description label to be more interpretable, for example I renamed the categorical values, such as: 1, 2, 3 with ‘Strongly Agree’, ‘Somewhat Agree’, ‘Disagree’, etc. Continue reading “Assignment Week 2”
In some countries where the majority of population holds the religious values, political issues are somewhat influenced by religiosity, despite other possible factors. During the election campaign—regional or presidential campaign—it is noted that in some area, the priests suggest their audience to vote/against particular candidate for the election. Religion is considered as the smoothest way to persuade the masses, since the priests have power to gather people and deliver their messages to them whereas the people honor the priests. This post is intended for the first week in assignment in Data Visualization course in Coursera and particularly to fulfil my own curiosity about the influence of religiosity and political issues that happened elsewhere in the world.
After looking at the provided dataset, I am interested to dig deeper the Outlook on Life Surveys 2012 dataset. This dataset studies about factors that influence political and social attitudes in US. Here I want to know whether religiosity influence political and social attitudes in US through digging the survey results from 2295 participants. There are 12 survey questions about religiosity. Continue reading “First Week Assignment”