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Monthly Archives: January 2016
Visualizing Data
Univariate graphs for the 4 variables I have chosen: Death by Asphyxiation: Code: import pandas import numpy import math import matplotlib.pyplot as plt import seaborn data = pandas.read_csv(‘data.csv’) data[‘YISM2534’] = pandas.to_numeric(data[‘YISM2534’]) data[‘YISW2534’] = pandas.to_numeric(data[‘YISW2534’]) data[‘DBA’] = pandas.to_numeric(data[‘DBA’]) data[‘DBACEIL’] = numpy.ceil(data[‘DBAPER1000’]) … Continue reading
Posted in Big Data, Data Analysis
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Data Management
In my previous post, I had performed a frequency analysis on three of the variables from my data set: YISM2534: Mean years in school (men between 25 and 34 years old) YISW2534: Mean years in school (women between 25 and … Continue reading
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Getting started with Python!
So this week, I wrote my first program in Python for analyzing frequency distribution of data. Unfortunately, the data I had selected did not lend well to frequency distribution. The main reason for this was that none of the variables … Continue reading
Posted in Big Data, Data Analysis
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