Write an introduction about what type of analysis you plan to execute.

Q 1: You must complete the exercise and provide answers on the following points:

• Write an introduction about what type of analysis you plan to execute. Provide a brief data description: what are your data about; how many variables and observations there; what are highest and lowest temperatures were observed and when?
• Make a function to calculate and (nicely) present descriptive statistics (mean, standard deviation, skewness, kurtosis, median, IQR) for a given month and year. Run it for a maximal temperature for any month of 1961 and 2019. Compare results and discuss. Present appropriate data visualisation to support your discussion.
• Combine two data sets together and calculate a daily range between maximal and minimal temperature. Get an average range for each year, discuss its distribution and change over the time. Provide appropriate data visualisation to support your discussion.
• Count number of days per year with maximal temperature above 35 degrees. Build a graph. Discuss your observations.
• Select and justify a threshold for a minimal temperature and repeat step 4 for the number of days below the chosen threshold.
• Combine results from steps 4 and 5; discuss your finding and implications for the question of climate change.
• Write a conclusion outlining your analysis and results.

You should write the report in MS Word format and R-script with the code.

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