Creating graphs

Summary:

Graphs make data interpretation visual. Most of the responses in all my variables fall in the middle section which got the highest bars and the “refused to answer” responses are easily comparable to the rest.

Code for this output

 

Univariate graphs:

 

Category 1 data:

I was experimenting with different types of graphs and choose to plot both unmanaged and managed data for this category.

 

The one below is visually easier to see which category received the most responses.

Managed data for Category 1. I split Category 1 into 5 groups – and from the graph above got the one below. This one shows better the responses distribution – unimodal graph

Category 2 graph – unimodal distribution

Category 3 – unimodal distribution 

Bivariate graph 

My data type wasn’t applicable to plotting on both x and y, so I plotted 2 of my Categories side by site to show data relation. This plot shows that the responces to the questions:

“Category 2: Churches or places of worship should allow more women to become members of the clergy.”
“Category 3: How concerned are you personally about women’s rights?”

The responces graphs have the same tendency.