Health Care in Scotland

[Back] Python Pandas outlines for data analysis for Health Care in Scotland. The data is [here][Pandas analysis].

Pandas axis

X-axis:

Y-axis:

Type:

View image [SVG] View image [PNG]

Number of Income Deprived People 2012 = 7.3871 x Income domain 2012 rate (%) + 5.8846 OLS Regression Results ======================================================================================= Dep. Variable: Income domain 2012 rate (%) R-squared: 0.942 Model: OLS Adj. R-squared: 0.942 Method: Least Squares F-statistic: 1.047e+05 Date: Tue, 19 Mar 2019 Prob (F-statistic): 0.00 Time: 10:59:44 Log-Likelihood: -18394. No. Observations: 6505 AIC: 3.679e+04 Df Residuals: 6504 BIC: 3.680e+04 Df Model: 1 Covariance Type: nonrobust ========================================================================================================= coef std err t P>|t| [0.025 0.975] --------------------------------------------------------------------------------------------------------- Number of Income Deprived People 2012 0.1227 0.000 323.601 0.000 0.122 0.123 ============================================================================== Omnibus: 1163.184 Durbin-Watson: 1.835 Prob(Omnibus): 0.000 Jarque-Bera (JB): 15066.050 Skew: -0.464 Prob(JB): 0.00 Kurtosis: 10.397 Cond. No. 1.00 ============================================================================== Warnings: [1] Standard Errors assume that the covariance matrix of the errors is correctly specified.

Source code

The following outlines the Python code used:

import numpy as np
import pandas as pd
import sys
import matplotlib.pyplot as plt

xval = 'Violent Crime';
yval = 'Murder';

file='1111'

ver=pd.read_csv("city.csv")

plt.xlabel(xval)
plt.ylabel(yval)

plt.scatter(ver[xval],ver[yval])
plt.show()

f2= file+".svg"

plt.savefig(f2,format='SVG')

f2= file+".png"

plt.savefig(f2,format='PNG')

Data

The data used is [here]

Health Care in Scotland

Pandas axis

Source code

Data

Outline