Some helpful suggestions are provided below, and you may feel free to use any other statistical analysis operation of your choice to glean more information from your data.(i) For the issue or interest in your life that you had identified and collected data on, develop appropriate tables and charts. For each variable/s you had identified, construct a summary table or frequency table, cumulative percent table and/or a graphical representation that you think is most appropriate. What distribution pattern do you observe? Also, suggest what other information concerning your issue would be useful to examine.(ii) If some of your variables are numerical, construct a table that computes the mean and/or median or mode. Also construct a table that computes the standard deviation and/or coefficient of variation if comparing between two data sets. If the data variable is amenable, you may want to construct a boxplot as well to visualize the shape of the distribution. Is the data skewed? What practical implication does this have?(iii) Are a couple of the variables linearly related? If so what is their correlation? Can you identify a dependent variable that is affected by another influencing (independent) variable? Construct a scatter plot for them and derive a possible linear regression equation. How can this be helpful for us to make decisions(iii) For any categorical variables, construct a contingency table involving two of the variables with multiple categories. Compute simple probabilities and joint probabilities. Develop a conditional question using your data and compute its conditional probability as well. What does the result signify?Summarize your findings and describe them below in a few paragraphs. From here, you may want to start thinking about possible courses of action for addressing the issues further.