COMP 5070 Statistical Programming for Data Science

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Reference no: EM132528967

COMP 5070 Statistical Programming for Data Science

Global Warming: Fact or Fiction?

Adelaide temperature data analysis
In this assignment you will analyse data about a temperature in Adelaide. The data was collected by Australian Bureau of Meteorology - the best source of the climate related information in Australia. Two presented data set contain information about daily maximal and minimal temperatures for Adelaide weather station 023034 at Adelaide Airport.

You get a chance to say your own word on the question of climate change based on the hard-core facts from a rigorous data analysis. You must complete the required steps and provide answers on the following questions:

Question 1. 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?

Question 2. 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.

Question 3. 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.

Question 4. Count number of days per year with maximal temperature above 35 degrees. Build a graph. Discuss your observations.

Question 5. Select and justify a threshold for a minimal temperature and repeat step 4 for the number of days below the chosen threshold.

Question 6. Combine results from steps 4 and 5; discuss your finding and implications for the question of climate change.

Question 7. Write a conclusion outlining your analysis and results.

You must submit two files: written report in MS Word or PDF format and R-script with the code.

Written report should be a well-presented business-style document with title page, heading, page numbering and so on. Please do not include R-code in the written report. I can see your code in the R-script.

You do not need to write too much as everyone hates reading long and/or boring reports. At the same time, if you need more space for your discussion then you can take it. There are no limits for word count or number of pages.

As a general rule, every question requires to present result in three ways - as a graph, as numbers and as text describing both. There might be exceptions when you cannot have all three, but these situations are not so common.

Attachment:- Statistical Programming for Data Science.rar

Reference no: EM132528967

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