In this quick notes, we will have a look at Rank and Sort in Series and DataFrames in Python In [1]: import numpy as np import pandas as pd from pandas import Series, DataFrame In [3]: #make a series ser1 = Series(range(3), index=[‘C’,’A’,’B’]) ser1 Out[3]: C 0 A 1 B 2 dtype: int32 In [4]:…
This week we have a look at Data Alignment in Python In [1]: import numpy as np import pandas as pd from pandas import Series, DataFrame In [2]: #create series ser1 = Series([0,1,3], index=[‘A’,’B’,’C’]) ser1 Out[2]: A 0 B 1 C 3 dtype: int64 In [3]: ser2 = Series([3,4,5,6], index=[‘A’,’B’,’C’,’D’]) ser2 Out[3]: A 3 B…
Running a Chi-Square Test of Independence For the purpose of running Chi Square Test of Independence on the Gapminder dataset I am working on, as indicated in the assignment instruction, I will have to categorize some of my Gapminder quantitative variables into categorical variables. In this sense, I have added another quantitative variable from the Gapminder…
Background of the Dataset CSV file Used: In the GapMinder Codebook the Unique Identifier = Country Hence in this program, my Unique Identifier = Ghana 1. There are 3 chosen variables (columns) that are core to my chosen research question which is based on the country Ghana. These are a. incomeperperson b. lifeexpectancy…
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