Data Analaysis on two Data sets using Python & R

Hi, I am working on a project and need to see how both Python & R can be used to carry out the below tasks. I am familial with doing these tasks in Excel but have been tasked with finding out the coding sequences for in a programming language like R & Python. I have only very minimal / low knowledge of these applications so would like someone to help with the below. The data sets you can select yourself to suit the below from somewhere like Datahub as it is the coding, process and flowcharts I am interested in seeing. I need to get analysis reports on two data sets using both Python & R. Sample on both sets are. The type of each variable – discrete or continuous numerical, categorical or ordinal; • The range of values for numerical variables and cardinality for categorical/ordinal variables; • The number of missing values; • Descriptive statistics, such as measures of central tendency (mean, median, mode) and measures of dispersion (variance, standard deviation); • The number of outliers (values that are outside expected ranges or are physically impossible); • Where appropriate, the distribution of the data in a variable. This can be done by producing histograms or density plots; and • Again, where appropriate, the correlation between variables. Correlation is a measure of the strength of the relationship between variables. A detailed set of design documents including design diagrams of the data processing activities carried out, with flowcharts explaining software design, testing processes