TdlM / taskmaster

Menu
  • Make shortlink

normalized_scores

Table actions
  • Toggle column notes
rigid
the simplest possible normalization: 5 points for 1st (equal), 4 for 2nd (equal), etc.; null for team tasks (only two ranks)
spread
Distribute points from a pool of {5, 4, 3, 2, 1}, with rank ties between N people sharing the next N available point values. (〃)
scale
Multiply every score by some common factor to achieve a sum of 15 for the task; where this causes any individual score to exceed 5, regrettably abandon the 15-point target and scale down to ensure a maximum of 5. Note that this value does exist for team tasks due to being point- rather than rank-based.
5+3, 3+2, 3½+2½
various ways to normalize team tasks based on rank

5 rows where task = 522

✖
✖

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: base, points, rank, rigid, spread, scale

id ▲ task contestant base ± points rank rigid spread scale 5+3 3+2 3½+2½
2507 The best thing to hang on a wall that you wouldn’t normally hang on a wall 522 Charlotte Ritchie 63 4   4 2= 4 3.5 3.75      
2508 The best thing to hang on a wall that you wouldn’t normally hang on a wall 522 Jamali Maddix 64 2   2 4 2 2 1.88      
2509 The best thing to hang on a wall that you wouldn’t normally hang on a wall 522 Lee Mack 65 5   5 1 5 5 4.69      
2510 The best thing to hang on a wall that you wouldn’t normally hang on a wall 522 Mike Wozniak 66 1   1 5 1 1 0.938      
2511 The best thing to hang on a wall that you wouldn’t normally hang on a wall 522 Sarah Kendall 67 4   4 2= 4 3.5 3.75      

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE normalized_scores (
   id         INTEGER PRIMARY KEY,
   task       INTEGER REFERENCES tasks(id),
   contestant INTEGER REFERENCES people(id),
   base       INTEGER,
   adjustment INTEGER,
   points     INTEGER,
   rank       TEXT,
   rigid      REAL,
   spread     REAL,
   scale      REAL,
   '5+3'      REAL,
   '3+2'      REAL,
   '3½+2½'    REAL
);
Powered by Datasette · Queries took 21.715ms
  • Sort ascending
  • Sort descending
  • Facet by this
  • Hide this column
  • Show all columns
  • Show not-blank rows