Question

Using the environmental data for each of the provinces in Canada, and weighting each piece of data by the number of cities in the province, calculate the mean temperature and mean precipitation for all of Canada for annual and each month.Environmental - v - assignment.xlsxIn each case, write a program using Python libraries of PySpark. It would make sense to treat the data as manipulation of matrices. Do not assume that the input data is all on the same node.Your submission should include the Spark program, and the answers (probably in a matrix of the same form as the input matrices, but without Rows for High, Low Temperatures, and columns for # of cities, and years).

Answer 1

The Python programming language can be used to write code that uses the environmental data for each province in Canada and weights each piece of information in accordance with the number of cities.

The definition of the environment is the whole of all realistic, non-living atmospheric conditions and their effects on human life. Water, land, sunshine, rocks, and air are examples of non-living or abiotic weather conditions, whereas all biotic or life elements are animals, plants, forests, fisheries, and birds.

Average annual temperature "Mean," "df," and "the annual temperature column" (). display() the average monthly temperature Means in pdf. agg. display() annual average of precipitation for "Name of the Month Temperature Column" Average monthly precipitation in pdf. agg. display(), "Name of the annual precipitation _column": In PDF. agg. display, "name of the month precipitation _column": "mean" ()

Therefore, each Canadian province's environmental data.

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