Generating Frequency

Utility of Frequency Tables

Frequency tables provide valuable insights when dealing with descriptive responses collected through surveys or observational studies. They summarize large sets of raw data into a clear and concise format, allowing easier interpretation.

Information Derived from Frequency Tables

Mode: The value or category that appears most frequently in the dataset.
Range: The spread of the data, indicating the minimum and maximum values recorded.
Distribution Patterns: How the responses are distributed across different categories, revealing any skewness or concentration of values.
Percentages: Frequency tables can also show relative frequencies, which are percentages of total responses that fall into each category.

Importance in Survey Analysis

Frequency tables are crucial in survey analysis as they help identify trends in the data, spot outliers or unusual patterns in responses, analyze respondent behavior based on different categories or demographics, and prepare data for further statistical analyses.

Example Data Set

In order to understand the online tool, we consider a dataset as given below. This dataset contains information about 200 students across 10 variables. The variables include demographic factors like Gender (coded 0 for Male, 1 for Female), Race (coded 1 for Hispanic, 2 for Asian, 3 for African American, 4 for White), and Socioeconomic Status (SES) (coded 1 for Low, 2 for Middle, 3 for High). Educational factors include School Type (coded 1 for Public, 2 for Private) and Programme (coded 1 for General, 2 for Academic, 3 for Vocational). The remaining five variables represent academic performance scores on ratio scales: Reading score, Writing Score, Math Score, Science score, and Social Study Score. Each row represents an individual student, providing a comprehensive profile of their demographic background and academic performance across various subjects. Only Few lines of the dataset are given below:

Gender	Race  SES Schooltype Programme  Reading	Writing	Math  Science SocStudy
0	4	1	1	1	57	52	41	47	57
1	4	2	1	3	68	59	53	63	61
0	4	3	1	1	44	33	54	58	31
0	4	3	1	3	63	44	47	53	56
0	4	2	1	2	47	52	57	53	61
0	4	2	1	2	44	52	51	63	61
0	3	2	1	1	50	59	42	53	61
0	1	2	1	2	34	46	45	39	36
0	4	2	1	1	63	57	54	58	51
0	3	2	1	2	57	55	52	50	51
0	4	2	1	3	60	46	51	53	61
0	4	2	1	2	57	65	51	63	61
0	4	3	1	2	73	60	71	61	71
0	4	3	1	2	54	63	57	55	46
0	3	1	1	2	45	57	50	31	56
0	4	1	1	1	42	49	43	50	56
0	4	3	1	2	47	52	51	50	56
0	4	2	2	1	57	57	60	58	56
0	4	3	1	2	68	65	62	55	61
0	4	2	1	1	55	39	57	53	46
0	4	2	1	1	63	49	35	66	41
0	4	2	1	3	63	63	75	72	66
0	3	2	1	2	50	40	45	55	56
0	1	3	1	2	60	52	57	61	61
0	1	2	1	3	37	44	45	39	46
0	3	2	1	3	34	37	46	39	31
0	4	3	1	2	65	65	66	61	66
0	4	2	2	3	47	57	57	58	46
0	4	3	2	2	44	38	49	39	46
0	2	1	1	1	52	44	49	55	41

Suppose we want to generate frequency of first five variables such as Gender, Race, SES, Schooltype and Programme then the sample data for 200 students which can be used for analysis is given below:

Example Data Entry

Copy Data

Step-by-Step Procedure for Generating Frequency Table

Enter Data: Enter your data for all variables in the text area provided. Each column should represent the data for one variable.
Specify Data Details: Provide information about your dataset:

The number of variables (how many different attributes or features were recorded).
The number of observations per variable (the total number of entries or responses for each variable).

Select Display Options: Choose which statistics you wish to generate:

Frequencies
Histogram
Descriptive Statistics

Submit Data: Click the 'Analyse' button to process the data.
View Results: After submitting, the results will be displayed in a web page with the frequency table and any additional statistics selected.