What is the best way to summarize a categorical variable?
Frequency distribution is the most common way of summarizing a categorical variable. It can be either represented as a tabular form called frequency distribution table or graphically using a bar chart or pie chart.
What type of data will we use for this frequency distribution ?
Only categorical data we can use for frequency distribution. But there are two types of categorical data as below Nominal Ex: Age groups, Gender, Test result (positive/negative) etc., Ordinal Ex: Socio economic class, Satisfaction rate of service (highly satisfactory, satisfactory, not satisfactory) etc.,
Table: Descriptive analysis of type of hypertension in the study population (N=42)
|Type of hypertension||Frequency||Percentages|
|non superimposed preeclampsia||3||7.14%|
Interpretation: Among the study population, Gestational hypertension was present in 59.52% (25 out of 42) and superimposed preeclampsia was observed in 23.81% (10 out of 42) and the proportion of non superimposed preeclampsia and chronic hypertension was 7.14% and 9.52% respectively. Figure: Bar chart for distribution of type of hypertension in the study participants (N=42)
Table: Descriptive analysis of body mass index in the study population (N=82)
|Body Mass Index||Frequency||Percentages|
|Healthy (18.5 to 24.99)||14||17.07%|
There were 14 (17.07%) healthy participants based on Body Mass Index and the proportion of over weight and obese was 56.09% (46 out of 82) and 26.83% (22 out of 82) respectively. Figure: Pie chart for distribution of Body mass index in the study participants (N=82)