It would seem that I have far too much time on my hands. After the post about a Star Trek “test”, I started wondering if there could be any data to back it up and… well here we go:
The Next Generation
| Name |
Percentage of Lines |
| PICARD |
20.16 |
| RIKER |
11.64 |
| DATA |
10.1 |
| LAFORGE |
6.93 |
| WORF |
6.14 |
| TROI |
5.4 |
| CRUSHER |
5.11 |
| WESLEY |
2.32 |
DS9
| Name |
Percentage of Lines |
| SISKO |
13.0 |
| KIRA |
8.23 |
| BASHIR |
7.79 |
| O’BRIEN |
7.31 |
| ODO |
7.26 |
| QUARK |
6.98 |
| DAX |
5.73 |
| WORF |
3.18 |
| JAKE |
2.31 |
| GARAK |
2.29 |
| NOG |
2.01 |
| ROM |
1.89 |
| DUKAT |
1.76 |
| EZRI |
1.53 |
Voyager
| Name |
Percentage of Lines |
| JANEWAY |
17.7 |
| CHAKOTAY |
8.76 |
| EMH |
8.34 |
| PARIS |
7.63 |
| TUVOK |
6.9 |
| KIM |
6.57 |
| TORRES |
6.45 |
| SEVEN |
6.1 |
| NEELIX |
4.99 |
| KES |
2.06 |
Enterprise
| Name |
Percentage of Lines |
| ARCHER |
24.52 |
| T’POL |
13.09 |
| TUCKER |
12.72 |
| REED |
7.34 |
| PHLOX |
5.71 |
| HOSHI |
4.63 |
| TRAVIS |
3.83 |
| SHRAN |
1.26 |
Discovery
Note: This is a limited dataset, as the source site only has transcripts for seasons 1, 2, and 4
| Name |
Percentage of Lines |
| BURNHAM |
22.92 |
| SARU |
8.2 |
| BOOK |
6.21 |
| STAMETS |
5.44 |
| TILLY |
5.17 |
| LORCA |
4.99 |
| TARKA |
3.32 |
| TYLER |
3.18 |
| GEORGIOU |
2.96 |
| CULBER |
2.83 |
| RILLAK |
2.17 |
| DETMER |
1.97 |
| OWOSEKUN |
1.79 |
| ADIRA |
1.63 |
| COMPUTER |
1.61 |
| ZORA |
1.6 |
| VANCE |
1.07 |
| CORNWELL |
1.07 |
| SAREK |
1.06 |
| T’RINA |
1.02 |
If anyone is interested, here’s the (rather hurried) Python used:
import re
from collections import defaultdict
from pathlib import Path
EPISODE_REGEX = re.compile(r"^\d+\.html?$")
LINE_REGEX = re.compile(r"^(?P<name>[A-Z']+): ")
EPISODES = Path("www.chakoteya.net")
DISCO = EPISODES / "STDisco17"
ENT = EPISODES / "Enterprise"
TNG = EPISODES / "NextGen"
DS9 = EPISODES / "DS9"
VOY = EPISODES / "Voyager"
class CharacterLines:
def __init__(self, path: Path) -> None:
self.path = path
self.line_count = defaultdict(int)
def collect(self) -> None:
for episode in self.path.glob("*.htm*"):
if EPISODE_REGEX.match(episode.name):
for line in episode.read_text().split("\n"):
if m := LINE_REGEX.match(line):
self.line_count[m.group("name")] += 1
@property
def as_percentages(self) -> dict[str, float]:
total = sum(self.line_count.values())
r = {}
for k, v in self.line_count.items():
percentage = round(v * 100 / total, 2)
if percentage > 1:
r[k] = percentage
return {k: v for k, v in reversed(sorted(r.items(), key=lambda _: _[1]))}
def render(self) -> None:
print(self.path.name)
print("| Name | Percentage of Lines |")
print("| ---------------- | ------------------- |")
for character, pct in self.as_percentages.items():
print(f"| {character:16} | {pct} |")
if __name__ == "__main__":
for series in (TNG, DS9, VOY, ENT, DISCO):
counter = CharacterLines(series)
counter.collect()
counter.render()
This is beautiful! I love data and I’m delighted you were inspired by my post to gather the data.
Thank you for doing this!