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Data-Mining

  1. Read ‘Climate Change_ Earth Surface Temperature Data.zip'. it includes a CSV file

  2. Merge the four tables into one table

  3. View some basic information about the data frame such info, columns, shape, and statistics such as mean, count, etc.

4 . Preprocess the table from missing, outlier, duplicate, etc.

  1. Encode the date “dt” columns into three columns (year, month, day)

  2. Standardize or normalize the data if necessary

  3. Visualize the relation between avrgtemp and tempuncerinty

  4. Group data based on city, country, state

  5. Visualize the temps with respect to country, city, state

  6. Group data based on longitude and latitude and visualize its relation with temps

  7. Add a new feature that represent the rate of change between avgtemp and uncertainty based on country

  8. Compare between the temp in the different continental

  9. Compare the temp in each continental

  10. Group the areas (cities) around the world that have similar temps behave

  11. Group the areas (cities) that have the same temp behave within date seasons