SPSS is a great and flexible tool to work on your research studies and statistics. We have already discussed the major and important points to remember on SPSS, so now we move to take a deepr understanding of the descriptives in spss.
Given a tutorial below, get acquainted with the process of performing descriptive statistics and explanatory data analysis on SPSS version 12.0. To begin with the process, make sure that everything is ready.

Standard class data set of SPSS

Open SPSS through Start> Programs> SPSS for Windows> SPSS 12.0 for windows

Load the standard class data set
Descriptives in SPSS
Summarize your data through descriptive statistics. Use the crosstabs and frequencies procedure if you are summarizing a categorical data. On the other hand, if the data is scale level, use descriptives of summaries. Multiple response is used for multiple response questions.
The frequencies in SPSS fits with categorical data compared to scale data. It shows the values that appear in the data.
Understanding the Frequency SPSS Command
Performing descriptives in SPSS is complex in some cases but can be simplified and learned along the way. Basic knowledge on performing the statistics would be enough to get the data out of the system.
 To identify the mean, median, mode or measures of central tendency, percentiles, quartiles, measures of kurtosis and skewness, measures of dispersion such as standard deviation, range, variances, minimum and maximum, and create histograms, the frequencies command may help. To get into the command, click Analyse> Descriptive Statistics> Frequencies, then the frequencies dialogue box will pop out.

To select the variables to analyse, click the frequencies dialog box left hand pane. Select the arrow button to transfer the variable to the Variables pane.

By clicking the “Display frequency tables”, you’ll get the frequency distribution. Click the Statistics button to select which statistics to perform.

Choose the desired statistics to perform from the statistics dialog box. The box on the left of percentile helps on calculating the given percentile. Input the desired percentile and click “Add button”. Select all the statistics from mean, mode, median, variance, range, standard deviation, and more, click “continue”.

The chart dialog box will pop out after clicking the Chart button. Through this, identify the chart to display.

Choose the desired chart. Most of the time, Histogram is used. Select continue, the OK. The SPSS Output Viewer will pop out.

The chart and requested statistics will be shown on the SPSS output Viewer. It provides list of the central tendency requested measures, measures of skewness and kurtosis, measures of dispersion, and percentiles and quartiles.

It will show you two columns that provide the statistic names on the left, and the statistics value on the right.

A frequency distribution table will also be given.

You will also see the Histogram chart.
The descriptives in SPSS is another way to calculate the measures and statistics necessary for our data. It helps to conserve time and effort as well. You can also check manova spss output interpretation or how to write a regression equation using spss to get more info.