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suicide rates

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Python,

Data visualization with Python and Matplotlib / Scatter Plot – Part 3

Let’s look at what else can be done with the data from Part 1. We start with the csv import mentioned in Part 2. Looking at the data we see that we have data available for 2010 and 2015 years, and we can analyze the change in suicide rates.

In [1]:
%matplotlib inline
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
In [2]:
table = pd.read_excel('mergedData.xlsx')
table.head()
Out[2]:
Country 2015_s 2010_s 2015_p 2013_p 2010_p 2013_d suiAve suiPerDeath deaPerPop
0 Afghanistan 5.5 5.2 32526.6 30682.5 27962.2 7.7 5.35 0.694805 0.77
1 Albania 4.3 5.3 2896.7 2883.3 2901.9 9.4 4.80 0.510638 0.94
2 Algeria 3.1 3.4 39666.5 38186.1 36036.2 5.7 3.25 0.570175 0.57
3 Angola 20.5 20.7 25022.0 23448.2 21220.0 13.9 20.60 1.482014 1.39
4 Antigua and Barbuda 0.0 0.2 91.8 90.0 87.2 6.8 0.10 0.014706 0.68