Overall

As of 2017-03-21:

Schools

## # A tibble: 9 × 2
##          inst     n
##         <chr> <int>
## 1        Duke   211
## 2        Elon     1
## 3    Meredith     1
## 4      NC A&T     5
## 5    NC State    44
## 6 UC Berkeley     1
## 7    UC Davis     1
## 8         UNC    78
## 9 Wake Forest     7

Schools and teams

## # A tibble: 5 × 2
##          inst     n
##         <chr> <int>
## 1        Duke    44
## 2      NC A&T     1
## 3    NC State    10
## 4         UNC    21
## 5 Wake Forest     2

Year

## # A tibble: 5 × 2
##         year     n
##        <chr> <int>
## 1 First-year    46
## 2     Junior    69
## 3         MS   107
## 4     Senior    57
## 5  Sophomore    70
## # A tibble: 2 × 2
##   grad_ugrad     n
##        <chr> <int>
## 1         MS   107
## 2  Undergrad   242

Schools and year

## Source: local data frame [22 x 3]
## Groups: inst [?]
## 
##        inst       year     n
##       <chr>      <chr> <int>
## 1      Duke First-year    34
## 2      Duke     Junior    40
## 3      Duke         MS    81
## 4      Duke     Senior    14
## 5      Duke  Sophomore    42
## 6      Elon     Senior     1
## 7  Meredith     Senior     1
## 8    NC A&T     Senior     5
## 9  NC State First-year     2
## 10 NC State     Junior     3
## # ... with 12 more rows

Team sizes

Can we ask some of the smaller teams to merge?

## # A tibble: 78 × 2
##                         team_name     n
##                             <chr> <int>
## 1                Sophie and Susan     2
## 2                   To Be Decided     2
## 3               2 Infinity&Beyond     3
## 4                             AJA     3
## 5                             BvB     3
## 6                      DataWolves     3
## 7                      Grapefruit     3
## 8                        option 1     3
## 9              Passive Regression     3
## 10                   predict(EPA)     3
## 11                    Psy(ber)cop     3
## 12                     Team Randy     3
## 13                  The Chi Squad     3
## 14                     Analympics     4
## 15                         B(4,1)     4
## 16                  Bae's Theorem     4
## 17                    Bigger Data     4
## 18            Bill James Fan Club     4
## 19                       Bug Free     4
## 20                       D Winner     4
## 21                 Data Night Out     4
## 22                Data Whisperers     4
## 23                       DataBaes     4
## 24                        Datopia     4
## 25                           Dong     4
## 26                 Duke Duke Data     4
## 27 Exponentially Smooth Criminals     4
## 28                  Fake i.i.d.'s     4
## 29                      GoBiostat     4
## 30                        Lassies     4
## 31         Maximum Likelihoodlums     4
## 32                        RP boom     4
## 33                     The A Team     4
## 34                  The Anime Fan     4
## 35                 The Matheletes     4
## 36                           womp     4
## 37                 (╯°□°)╯︵ ┻━┻     5
## 38                Back Dat-a** Up     5
## 39                       Bayasian     5
## 40           Bayes in the Machine     5
## 41                         CASYE!     5
## 42                  Chapel-Boys.R     5
## 43                 Charltonmander     5
## 44         CHAYR Consulting Group     5
## 45                 Chris. P Bacon     5
## 46                  Data Doofuses     5
## 47                   Data Hackers     5
## 48                    Data MEMers     5
## 49                    Data Minors     5
## 50              Dumbledore's Army     5
## 51                 Exactly Normal     5
## 52                            FFD     5
## 53                     Five Sigma     5
## 54                           G703     5
## 55                    hello world     5
## 56              Here for the Food     5
## 57                          HMart     5
## 58                       Joe Bars     5
## 59                          Kwice     5
## 60                  Least-squares     5
## 61                         LoKeng     5
## 62                          LUCAS     5
## 63              Mu_2 Strikes Back     5
## 64                      MulticoRe     5
## 65                           MuSE     5
## 66                         nibaba     5
## 67                         No MSE     5
## 68                  Reject the H0     5
## 69                     S.H.A.A.P.     5
## 70                       Sigma Mu     5
## 71            Statistical Sleuths     5
## 72                  The Anomalies     5
## 73                   The Jupyters     5
## 74                       untitled     5
## 75                      WreckFive     5
## 76              Standard Deviants     7
## 77                    Bayes' Baes     9
## 78               The Mean Squares     9
## ac444@duke.edu,soomin.cho@duke.edu,sarah.cogan@duke.edu,jackson.dellinger@duke.edu,peter.hase@duke.edu,el137@duke.edu,sarah.sibley@duke.edu,djw40@duke.edu,jz139@duke.edu
## lab104@duke.edu,ac368@duke.edu,cc430@duke.edu,blc14@duke.edu,rk145@duke.edu,jaya.pokuri@duke.edu,nms34@duke.edu,nmv12@duke.edu,hy91@duke.edu
## aman98@live.unc.edu,mudit.dutta@duke.edu,sujay.garlanka@duke.edu,nipun.hewage@duke.edu,lexokan@live.unc.edu,vinai.oddiraju@duke.edu,larryz@live.unc.edu

Teams

Tshirt order

## # A tibble: 5 × 2
##   tshirt     n
##    <chr> <int>
## 1  Large    59
## 2 Medium   167
## 3  Small   114
## 4     XL     8
## 5    XXL     1

Average team size

## # A tibble: 1 × 1
##   avg_team_size
##           <dbl>
## 1      4.474359