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The data set contains one row for every person who filled the survey. We use person and student interchangeably. Job : 0 for those students

The data set contains one row for every person who filled the survey. We use person and student interchangeably.

  • Job: 0 for those students without a job, 0.5 for those students with a part-time job, and 1 for those students with a full-time job
  • Program: program of enrollment
  • C-Regression: indicates whether the student knows (1) or doesn't know (0) a certain programming language or topic
  • Classification: indicates the level of knowledge (1-5) on classification
  • Clustering: indicates the level of knowledge (1-5) on clustering
  • Bach_0to1: 1 if time elapsed from graduation is less than a year; 0 otherwise
  • Bach_1to3: 1 if time elapsed from graduation is between one and three years; 0 otherwise
  • Bach_3to5: 1 if time elapsed from graduation is between three and five years; 0 otherwise
  • Bach_5Plus: 1 if time elapsed from graduation is more than five years; 0 otherwise

Question 1

  1. Find out the ratio of people that know at least one among Python and Java and their Classification knowledge has to be at least 2.
  2. Compute the standard deviation of the Clustering knowledge (function std), for people with ProgSkills of 3

Question 2

For the MBA program, how many people have a Programming Skill knowledge of less than 4?

 

Question 3

Return the rows of those people who know the most Languages

 

Question 4

Let us define the "data science experience" of a given person as the person's largest score among Regression, Classification, and Clustering. Compute the average data science experience among all MBA students. 

 

BachTimeProgramProgSkillsCCPPCSJavaPythonJSRSQLSASExcelTableauRegressionClassificationClusteringJobLanguagesExpert
longer than 1 year ago but less than 3 years agoMSIS411011101010144061
over 5 years agoMSIS3110100010100220.540
longer than 3 years ago but less than 5 years agoMSIS300011001010133030
over 5 years agoMSIS310011011010123050
longer than 3 years ago but less than 5 years agoMSIS310011001010011040
longer than 1 year ago but less than 3 years agoSupply Chain Mgmt & Analytics100000001010111110
longer than 1 year ago but less than 3 years agoMSIS311010001010022040
< 1 year agoMSIS210010001011022030
over 5 years agoMBA100000000010111100
over 5 years agoMSIS3100110010111210.540
over 5 years agoMBA4111100010101220.550
over 5 years agoMBA200001000010111110
over 5 years agoMSIS4110100011101110.550
< 1 year agoSupply Chain Mgmt & Analytics211000001010131030
over 5 years agoMBA511010101010122150
over 5 years agoMBA100000000010011100
over 5 years agoFaculty!310000001110155131
over 5 years agoMBA400001 11 101441 0
longer than 1 year ago but less than 3 years agoMBA2000000100101220.510
longer than 3 years ago but less than 5 years agoMSIS510011001011011040
longer than 1 year ago but less than 3 years agoMSIS2000100010110320.520
over 5 years agoMSIS200111101010011050
longer than 3 years ago but less than 5 years agoMBA100000010010112010
longer than 3 years ago but less than 5 years agoMSIS3110111010110220.560
longer than 3 years ago but less than 5 years agoMBA211000000010122020
over 5 years agoMSIS31111 1010110210 0
longer than 3 years ago but less than 5 years agoMSIS200010000011023010
over 5 years agoMSIS3110100010110220.540
over 5 years agoMSIS3110110 1011 110.5 0
longer than 1 year ago but less than 3 years agoMSIS311010000011011030
longer than 1 year ago but less than 3 years agoMSIS3100110010101110.540
over 5 years agoBusiness Man100 001100101231 0
over 5 years agoMBA300001011011144031
longer than 3 years ago but less than 5 years agoMSIS310010001011033030
over 5 years agoMSIS411011101011012060
over 5 years agoMaster of Finance411001101010111050
over 5 years agoMBA301010111010133150
longer than 1 year ago but less than 3 years agoMSIS100000001011011010
over 5 years agoMBA100000011111111030
longer than 3 years ago but less than 5 years agoMSIS310010001011033030
longer than 1 year ago but less than 3 years agoMSIS310011111001133160
longer than 3 years ago but less than 5 years agoMSIS200010101010021030
longer than 1 year ago but less than 3 years agoMSIS400011101001021040
longer than 1 year ago but less than 3 years agoMSIS311010101011011050
over 5 years agoMSIS301011101011111050
longer than 1 year ago but less than 3 years agoMSIS311011111001122170
longer than 1 year ago but less than 3 years agoMSIS411111101011122070
longer than 1 year ago but less than 3 years agoMSIS411010101011022050
longer than 3 years ago but less than 5 years agoMSIS4110110010110110.550
over 5 years agoMBA311001001010021140
longer than 1 year ago but less than 3 years agoMBA3000111111111330.560
longer than 3 years ago but less than 5 years agoMSIS310010001011033030
longer than 3 years ago but less than 5 years agoMSIS411010101011022050
longer than 3 years ago but less than 5 years agoMSIS3110100011110220.550
longer than 3 years ago but less than 5 years agoMSIS200011111011111050
over 5 years agoMSIS3000101010110110.530
over 5 years agoMBA200010101011111130
over 5 years agoMSIS41001000 1110110 0
over 5 years agoMSIS3010100010111110.530
longer than 3 years ago but less than 5 years agoMSIS300011001011012030
over 5 years agoMBA311111101010111170

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