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I have 4 datasets regarding (compare spatial and temporal patterns in air quality

I have 4 datasets regarding (compare spatial and temporal patterns in air quality and ground waters at two different locations) to be programmed separately using R and total of 2500 words below is the requirements;

1/ the datasets need to be prepared a accordingly

2/ the datasets needs to be cleaned such as

  • (Na) values should be replaced not removed
  • Outliers should be fixed not removed
  • The dates should be fixed not removed
  • All the values below 0 and has 999.999 something like that needs to be fixed as i don’t want to have (-) minus number in the data it means under 0 or above 99999
  • The flag columns needs to be terminated as i don’t need them(basically remove all the columns with flag)

3/ the datasets have to be analysed applying those futures

  • Changepoint
  • Timeserise
  • Partitioning
  • Any packages are needed can be used

4/ the datasets need to be visualised

5/ Writing 500 words for each datasets to explain what has been done all the way through programming and what has happened afterwards to the dataset.

6/ Another minimum of 500 words to compare the datasets with each other.

7/ we have 2 weeks

 

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