WHO-Data-Manipulation/Population and Immunization Coverage_MATLAB at main · Ayushi-Chakrabarty/WHO-Data-Manipulation · GitHub

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# *********************Column 1- POPULATION*********************

Sub-column 1:

x=VarName1;
y=VarName6;
plot(x, y, ':k')
xlabel('Countries')
ylabel('Population Number')
title('Year 2005')

Sub-Column 2:

x=VarName1;
y=VarName7;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Annual Growth Rate')
title('Year 1995-2004')

Sub-Column 3:

x=VarName1;
y=VarName8;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Population % in urban areas')
title('Year 2005')

Sub-Column 4:

x=VarName1;
y=VarName9;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Total fertility rate (per woman) %')
title('Year 2000-2004')

# *********************Column-2: Adult literacy rate %*********************

x=VarName1;
y=Adult;
plot(x,y,'-k')
xlabel('Countries')
ylabel('Adult literacy rate %')
title('Year 2005')

# *********************Column-3: Net Primary School Enrolment Ratio*********************

x=VarName1;
y1=Netprimaryschool;
y2=VarName12;
plot(x, y1, '-k', x, y2, '-m')
legend('Boys', 'Girls')
xlabel('Countries')
ylabel('Net primary school enrolment %')
title('Year 2001')

# *********************Column:4 Gross national income per capita*********************

x=VarName1;
y=Grossnational;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Gross National Income per capita (US $)')
title('Year 2003')

#*********************Coverage*********************

Column 1- Immunization coverage HepB3

x=VarName1;
y=VarName8;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Immunization coverage % among 1-year-olds HepB3')

Column 2- Antenatal Coverage %

x=VarName1;
y=Antenatal;
plot(x, y, '-k')
xlabel('Countries')
ylabel('Antenatal care coverage % ')
title('Year 2000')
title('Year 2003')

# *********************Function operations*********************

1) *********************Time Shifting*********************

x=VarName1;
y=Antenatal;
subplot(3,1,1);
plot(x,y, '-k');
title('Antenatal care coverage %')
m=x-20;
axis([-20, 200, 0, 100]);
subplot(3,1,2);
plot(m, y, '-g');
title('Advanced Antenatal care coverage %')
t=x+20;
axis([-20, 200, 0, 100]);
subplot(3,1,3);
plot(t,y, 'r');
title('Delayed Antenatal care coverage %')
axis([-20, 200, 0, 100]);

2) *********************Time Reversal*********************
Code:
x=VarName1;
y=VarName8;
subplot(2,1,1);
plot(x, y, '-k');
title('Immunization coverage % for HepB3 ')
axis([-200, 200, 0, 100]);
t=-m;
subplot(2,1,2);
plot(t,y,'-m');
title('Reversal of Immunization coverage % for HepB3')
axis([-200, 200, 0, 100]);

3) *********************Time-Scaling*********************

• Contraction:

x=VarName1;
y=VarName8;
b=2;
subplot(2,1,1);
plot(x, y, '-k');
title('Immunization coverage % for HepB3 ')
axis([0,300, 0, 100]);
t=x/b;
subplot(2,1,2);
plot(t,y, '-r');
title('Contracted Immunization coverage % for HepB3')
axis([0,300, 0, 100]);

• Expansion:

x=VarName1;
y=VarName8;
b=2;
subplot(2,1,1);
plot(x, y, '-k');
title('Immunization coverage % for HepB3 ')
axis([0,500, 0, 100]);
t=x*b;
subplot(2,1,2);
plot(t,y,'-r');
title('Expanded Immunization coverage % for HepB3')
axis([0,500, 0, 100]);