It sounds like both variables are categorical in nature.  Appropriate descriptive statistics are counts and percentages for each category or combination of categories.

Appropriate plots include bar plots of counts and mosaic plots.

Descriptive statistics for continuous variables make no sense for categorical variables.  These include mean, median, standard deviation, and so on.

Thanks very much for that, Salvatore S. Mangiafico!In the literature, there 3 types of data: categorical, ordinal, and continuous. Do you by a categorical variable that I am dealing with categorical data? or it means something else.

Exchanging ideas through e- discourse has become  increasingly prominent in education because  it provides  learners  with a rich virtual network by which  they  can exchange ideas and information using various modes of communication and   creating  synergies through interactions with other members of the network, whether fellow learners or teachers. As you have rightly observed, patterns of interaction and modes of communication are interrelated. These variables are categorical in nature and involve  frequency distributions. As such, ssummarizing the data, by using Frequency Distributions requires several steps. First, we need to summarize the data so that we are more likely to spot any trends or effects that are lurking within the obtained frequency counts and their respective percentage values. Second, we need to use a Chi-Square test  to examine whether the differences between patterns of interaction and modes of communication are statistically significant.

Best regards,

R. Biria

thanks very much! I appreciate that. However, the two variables (patterns of interaction and modes of communication) are not related, and each variable has effects on the literature (concepts used).

Kind regards,

Yes, from your description, it sounds like the variables (Pattern and Mode) contain categorical data.

Of course, I don't know because I don't know what your data looks like.

Thanks! I appreciate that!