Using CDC's Oncology SEER dataset attached below to find the total number of occurrences of various breast cancers separately for men and women in four age groups (ages 0-24; 25-49; 50-74;...

Using CDC's Oncology SEER dataset attached below to find the total number of occurrences of various breast cancers separately for men and women in four age groups (ages 0-24; 25-49; 50-74; 75+) . Save the output in a .csv file with nine things per line separated by commas: the cancer type (remove commas from this), total number of occurrences in men aged 0-24, and total number of occurrences in women aged 0-24, and so on. Use names from ICD-O3 for cancer types. You should print only the cancer types whose codes are found in ICD-O3 and it need not be in any particular order.You need to read the SEER file and then read the ICD-03 file to update the cancer type (so the cancer name shows in the final output file).Submit your .py file in Canvas.

Character positions in SEER file starting from left:

Sex
24

Age at diagnosis
25-27

Year of birth
28-31

Histology Type ICD-O-3
53-56

Behavior Code ICD-O-3
57

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