ABSTRACT
This chapter covers the range of tables, charts and diagrams used to organise and present data. We begin with an explanation of the differences between qualitative or categorical data and quantitative or metric data, and between continuous and discrete or discontinuous quantitative data, and univariate and bivariate data. We proceed to demonstrate tabulation of data using frequency and contingency tables prior to covering pictographs, or pictograms, pie charts, simple bar charts, component or stacked bar charts, and clustered or grouped bar charts. We show how to compile frequency distributions and grouped frequency distributions and construct histograms and grouped frequency distributions. We explain stem and leaf displays from the field of exploratory data analysis and how to use them to compare distributions. We proceed to show how scatter diagrams or scattergrams portray bivariate data, distinguishing between dependent and independent variables, then introduce time series and time series charts. We end the chapter with a short case study about infographics.
