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CENTOGRAQ
Empirical Study of Distribution of Letters in English Words: A
Special Case of Centograqs
Omisile Kehinde Olugbenga
Background
• One of my colleagues posted on WhatsApp that if we assign
1 to A, 2 to B, … 26 to Z,
we could weight English words with percent as unit of
measurement.
• He went on to create summation for words like
‘HARDWORK’ = 98 percent
‘KNOWLEDGE’ = 96 percent
‘LOVE’ = 54 percent
‘LUCK’ = 47 percent and ended up posting that
‘ATTITUDE’ sums to 100 percent!
So…
•How many words
in the English
language when
weighted would
sum to 100%?
I set to work… and this was my first attempt
Objectives
1. The number of English words that actually weighted-sum up to 100
percent and their weighted-average length.
2. Average length of Centograqs.
3. The distribution of initial letters (first letters) and terminal letters (last
letters).
4. The distribution of letters used to form long words – words longer than
nine letters.
5. The composite distribution of letters in terms of the most common letter
used in constructing words.
6. Distribution of words with unique letters (isograms), that is words whose
letters are all unique.
7. Distribution of repeated letters within words and twin bigrams/digraphs.
What is a centograq?
•There was a need to have a single name to
call words whose weighted-sum is 100% so I
came up with the colloquial word – Centograq.
•Hence, a centograq is a word whose letter-by-
letter weighted-sum is 100 percent; and, the
weights are based on the letters’ positions in
the list of English alphabets.
How many words are centograqs?
•From the website www.gist.github.com, one of
the participants Peter Magenheimer had
written a Python code to extract text strings
from the English dictionary, evaluate their sum
and return only those that summed to 100
percent. Hence, using his python code, he
was able to extract 2302 centograqs.
METHODS
Steps in the analysis of centograqs
Step 1
•The imported data
was set up in an
Excel Table,
named ‘Dict’, and
the column holding
the words named
[Word].
Excel Tables
Length
[Length]
=LEN(Dict[Word])
The average length of centograqs
Letter
extraction
[1st]
{=IFERROR(
CHAR(
CODE(
LOWER(
MID([@Word],[@Length]-([@Length]-COLUMNS($E2:E2)),1)
)
)
)
,0)}
Maximum length was calculated hence fifteen contiguous columns were set up to ‘spread’ the words.
An array formula was used for the spread.
Confirm Weight
[Weight]
{=SUMPRODUCT(
MATCH(Dict[@[1st]:[14th]],alpha,0)
)-14}
Sum the letters to ensure they are all 100% weights. This same
formula (CSE) could be adapted for any word.
Initial and
Terminal Letters
[Last]
=RIGHT([Word],1)
Initial letters are obvious being in the column [1st].
Terminal letters are extracted using the formula below
Frequency of
Letters
[Frequency]
COUNTIF(Dict[[1st]:[14th]],[@Letter])
I also counted the frequency of occurrence of each
letter. This was set up on a different table with ‘Dict’
as precedence.
Unique Letters
in Each Word
[Unique] 
{=SUMPRODUCT(
1/COUNTIF(Dict[@[1st]:[14th]],Dict[@[1st]:[14th]])
)}
How many letters form each word? (CSE)
Other Analyses
The remaining results were obtained using
pivot tables.
Some
commonly used
centograqs
RESULTS
Number of
centograqs
There are 2302
English words
whose weighted-
sum is 100 percent.
Average length of Centograqs
Mean SD
Mini
mum
Maxi
mum
25th
Perce
ntile
Media
n
75th
Perce
ntile
8.8 1.4 5 14 8 9 10
Distribution of Lengths of Centograqs
Shortest and Longest Centograqs
Shortest
• Tousy
• Struv
• Totty
• Buzzy
• Nutty, and
• Pussy
Longest
•Batrachoididae
•Biddulphiaceae
Most common
letters
Showing the top 7 and the
bottom seven.
E A I R O N
[CELLRANGE];
2225
[CELLRANGE];
1852
[CELLRANGE];
1826
[CELLRANGE];
1462
[CELLRANGE];
1363
[CELLRANGE];
1292
[CELLRANGE];
1267
[CELLRANGE];
196
[CELLRANGE];
185
[CELLRANGE];
168
[CELLRANGE]; 68
[CELLRANGE]; 55
[CELLRANGE]; 32
[CELLRANGE]; 28
0 500 1000 1500 2000 2500
E
A
I
R
O
N
L
K
W
V
Z
X
J
Q
Frequency of Occurence
Comparison of most common letters in English
Words between centograqs, free texts, and email
text
Centograq
s E A I R O N L T S C U D M P H
Text1
E T A O I N S R H L D C U M F
Email2
E T O A I N S R H L D U C M P
Top 7 Initial and Terminal Letters
[CELLRANGE],
126
[CELLRANGE],
132
[CELLRANGE],
166
[CELLRANGE],
179
[CELLRANGE],
183
[CELLRANGE],
224
[CELLRANGE],
250
0 50 100 150 200 250 300
t
m
u
a
c
p
s
Initial
[CELLRANGE],
156
[CELLRANGE],
168
[CELLRANGE],
181
[CELLRANGE],
185
[CELLRANGE],
187
[CELLRANGE],
229
[CELLRANGE],
489
0100200300400500
l
s
r
d
n
y
e
Terminal
Number of Words with Unique Letters
Length of Word
Number of Duplications
Total0 1 2 3 4 5 6
5 2 3 1 6
6 36 36 12 84
7 121 154 36 5 316
8 140 298 162 36 2 638
9 105 228 197 74 9 613
10 14 103 159 88 23 2 389
11 21 56 73 32 7 189
12 9 16 17 9 1 52
13 1 4 3 5 13
14 2 2
Total 418 843 632 293 87 23 6 2302
Example of Centograqs that are isograms
baculiform fatherling lageniform neoblastic
pelargonic plumbagine impugnable
anhydremic unmiracled coislander
Colubrinae conjugated athrogenic
Purbeckian syndicate dysphemia
cystidean cymophane exophasic
sulfamine subrepand muraenoid lubricant
Juncoides guildsman bufotalin steckling
staminode asyndetic trembling tranceful
Comparison between All Centograqs
and Unique Centograqs
Position Class 1 2 3 4 5 6 7 8 9 10 11 12 13
1
4
1
5
Initial
Unique centograqs S P U T C A D O M B G E V NF
All centograqs S P C A U M T D B R G E H FO
Terminal
Unique centograqs Y E N D R T L M S C G P A HW
All centograqs E Y N D R S L T A C M G H PO
Common
Letter
Unique centograqs I R E A O T N S L U Y P C HM
All centograqs E A I R O N L T S C U D M PH
Twin Bigrams
•We also attempted to study the pattern of twin
bigrams, words with same letter repeated one after
the other.
•Of the 2302 centograqs, 484 (21%) have at least
one twin bigram while there are 28 words that have
two twin bigrams but not more.
Centograqs with Twin Bigrams
Accumulate, Adiabatically, Adulthood, Annually, Attitude,
Awfully, Blissful, Bootmaker, Boycott, Chimpanzee,
Clerically, Clinically, Coatroom, Congress, Corridor,
Connivance, Conniver Coyness, Diagonally, Dispeller,
Dooryard, Drizzle, Excellent, Ferryman, Flurry, Forefoot,
Immature, Inapplicable, Inefficient, Innovate, Intellect,
Interbreed, Irritate, Largeness, Likelihood, Outtalk,
Pathless, Plummet, Proofing, Pussy, Reshuffle,
Roommate, Schoolman, Session, Shooter, Spooler,
Stress, Swimmer, Swollen, Unfreeze, Unwilled, Useless
Position of Twin Bigrams in Centograqs
72
120
68
62 63
45
36
15
2 1
0
20
40
60
80
100
120
140
2 3 4 5 6 7 8 9 10 11
NumberofWords
Position
Comparison between the Twin Bigrams in
Centograqs and Google English Corpus
Centograqs
L
L
S
S
O
O
E
E
R
R
T
T
M
M
N
N
P
P
F
F
G
G
C
C
D
D
B
B
Z
Z
A
A
K
K
H I J Q U V W X Y
Google*
L
L
S
S
E
E
O
O
T
T
F
F
P
P
R
R
M
M
C
C
N
N
D
D
G
G
II
B
B
A
A
Z
Z
X
X
U
U
H
H
Q J W K Y V
*Rick Wicklin, 2014
A TOUCH OF
CRYPTOGRAPHY
S WGWRN BN
CWJDKDTPEBT
Encryption with Centograqs
Vkrhu jhf zry lirasmt sabyk cidwdrkeuk
(‘Thank you for reading about centograqs’).

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Centograqs

  • 1. CENTOGRAQ Empirical Study of Distribution of Letters in English Words: A Special Case of Centograqs Omisile Kehinde Olugbenga
  • 2. Background • One of my colleagues posted on WhatsApp that if we assign 1 to A, 2 to B, … 26 to Z, we could weight English words with percent as unit of measurement. • He went on to create summation for words like ‘HARDWORK’ = 98 percent ‘KNOWLEDGE’ = 96 percent ‘LOVE’ = 54 percent ‘LUCK’ = 47 percent and ended up posting that ‘ATTITUDE’ sums to 100 percent!
  • 3. So… •How many words in the English language when weighted would sum to 100%?
  • 4. I set to work… and this was my first attempt
  • 5. Objectives 1. The number of English words that actually weighted-sum up to 100 percent and their weighted-average length. 2. Average length of Centograqs. 3. The distribution of initial letters (first letters) and terminal letters (last letters). 4. The distribution of letters used to form long words – words longer than nine letters. 5. The composite distribution of letters in terms of the most common letter used in constructing words. 6. Distribution of words with unique letters (isograms), that is words whose letters are all unique. 7. Distribution of repeated letters within words and twin bigrams/digraphs.
  • 6. What is a centograq? •There was a need to have a single name to call words whose weighted-sum is 100% so I came up with the colloquial word – Centograq. •Hence, a centograq is a word whose letter-by- letter weighted-sum is 100 percent; and, the weights are based on the letters’ positions in the list of English alphabets.
  • 7. How many words are centograqs? •From the website www.gist.github.com, one of the participants Peter Magenheimer had written a Python code to extract text strings from the English dictionary, evaluate their sum and return only those that summed to 100 percent. Hence, using his python code, he was able to extract 2302 centograqs.
  • 8. METHODS Steps in the analysis of centograqs
  • 9. Step 1 •The imported data was set up in an Excel Table, named ‘Dict’, and the column holding the words named [Word]. Excel Tables
  • 11. Letter extraction [1st] {=IFERROR( CHAR( CODE( LOWER( MID([@Word],[@Length]-([@Length]-COLUMNS($E2:E2)),1) ) ) ) ,0)} Maximum length was calculated hence fifteen contiguous columns were set up to ‘spread’ the words. An array formula was used for the spread.
  • 12.
  • 13. Confirm Weight [Weight] {=SUMPRODUCT( MATCH(Dict[@[1st]:[14th]],alpha,0) )-14} Sum the letters to ensure they are all 100% weights. This same formula (CSE) could be adapted for any word.
  • 14. Initial and Terminal Letters [Last] =RIGHT([Word],1) Initial letters are obvious being in the column [1st]. Terminal letters are extracted using the formula below
  • 15. Frequency of Letters [Frequency] COUNTIF(Dict[[1st]:[14th]],[@Letter]) I also counted the frequency of occurrence of each letter. This was set up on a different table with ‘Dict’ as precedence.
  • 16. Unique Letters in Each Word [Unique]  {=SUMPRODUCT( 1/COUNTIF(Dict[@[1st]:[14th]],Dict[@[1st]:[14th]]) )} How many letters form each word? (CSE)
  • 17. Other Analyses The remaining results were obtained using pivot tables.
  • 20. Number of centograqs There are 2302 English words whose weighted- sum is 100 percent.
  • 21. Average length of Centograqs Mean SD Mini mum Maxi mum 25th Perce ntile Media n 75th Perce ntile 8.8 1.4 5 14 8 9 10
  • 22. Distribution of Lengths of Centograqs
  • 23. Shortest and Longest Centograqs Shortest • Tousy • Struv • Totty • Buzzy • Nutty, and • Pussy Longest •Batrachoididae •Biddulphiaceae
  • 24. Most common letters Showing the top 7 and the bottom seven. E A I R O N [CELLRANGE]; 2225 [CELLRANGE]; 1852 [CELLRANGE]; 1826 [CELLRANGE]; 1462 [CELLRANGE]; 1363 [CELLRANGE]; 1292 [CELLRANGE]; 1267 [CELLRANGE]; 196 [CELLRANGE]; 185 [CELLRANGE]; 168 [CELLRANGE]; 68 [CELLRANGE]; 55 [CELLRANGE]; 32 [CELLRANGE]; 28 0 500 1000 1500 2000 2500 E A I R O N L K W V Z X J Q Frequency of Occurence
  • 25. Comparison of most common letters in English Words between centograqs, free texts, and email text Centograq s E A I R O N L T S C U D M P H Text1 E T A O I N S R H L D C U M F Email2 E T O A I N S R H L D U C M P
  • 26. Top 7 Initial and Terminal Letters [CELLRANGE], 126 [CELLRANGE], 132 [CELLRANGE], 166 [CELLRANGE], 179 [CELLRANGE], 183 [CELLRANGE], 224 [CELLRANGE], 250 0 50 100 150 200 250 300 t m u a c p s Initial [CELLRANGE], 156 [CELLRANGE], 168 [CELLRANGE], 181 [CELLRANGE], 185 [CELLRANGE], 187 [CELLRANGE], 229 [CELLRANGE], 489 0100200300400500 l s r d n y e Terminal
  • 27. Number of Words with Unique Letters Length of Word Number of Duplications Total0 1 2 3 4 5 6 5 2 3 1 6 6 36 36 12 84 7 121 154 36 5 316 8 140 298 162 36 2 638 9 105 228 197 74 9 613 10 14 103 159 88 23 2 389 11 21 56 73 32 7 189 12 9 16 17 9 1 52 13 1 4 3 5 13 14 2 2 Total 418 843 632 293 87 23 6 2302
  • 28. Example of Centograqs that are isograms baculiform fatherling lageniform neoblastic pelargonic plumbagine impugnable anhydremic unmiracled coislander Colubrinae conjugated athrogenic Purbeckian syndicate dysphemia cystidean cymophane exophasic sulfamine subrepand muraenoid lubricant Juncoides guildsman bufotalin steckling staminode asyndetic trembling tranceful
  • 29. Comparison between All Centograqs and Unique Centograqs Position Class 1 2 3 4 5 6 7 8 9 10 11 12 13 1 4 1 5 Initial Unique centograqs S P U T C A D O M B G E V NF All centograqs S P C A U M T D B R G E H FO Terminal Unique centograqs Y E N D R T L M S C G P A HW All centograqs E Y N D R S L T A C M G H PO Common Letter Unique centograqs I R E A O T N S L U Y P C HM All centograqs E A I R O N L T S C U D M PH
  • 30. Twin Bigrams •We also attempted to study the pattern of twin bigrams, words with same letter repeated one after the other. •Of the 2302 centograqs, 484 (21%) have at least one twin bigram while there are 28 words that have two twin bigrams but not more.
  • 31. Centograqs with Twin Bigrams Accumulate, Adiabatically, Adulthood, Annually, Attitude, Awfully, Blissful, Bootmaker, Boycott, Chimpanzee, Clerically, Clinically, Coatroom, Congress, Corridor, Connivance, Conniver Coyness, Diagonally, Dispeller, Dooryard, Drizzle, Excellent, Ferryman, Flurry, Forefoot, Immature, Inapplicable, Inefficient, Innovate, Intellect, Interbreed, Irritate, Largeness, Likelihood, Outtalk, Pathless, Plummet, Proofing, Pussy, Reshuffle, Roommate, Schoolman, Session, Shooter, Spooler, Stress, Swimmer, Swollen, Unfreeze, Unwilled, Useless
  • 32. Position of Twin Bigrams in Centograqs 72 120 68 62 63 45 36 15 2 1 0 20 40 60 80 100 120 140 2 3 4 5 6 7 8 9 10 11 NumberofWords Position
  • 33. Comparison between the Twin Bigrams in Centograqs and Google English Corpus Centograqs L L S S O O E E R R T T M M N N P P F F G G C C D D B B Z Z A A K K H I J Q U V W X Y Google* L L S S E E O O T T F F P P R R M M C C N N D D G G II B B A A Z Z X X U U H H Q J W K Y V *Rick Wicklin, 2014
  • 34. A TOUCH OF CRYPTOGRAPHY S WGWRN BN CWJDKDTPEBT
  • 36. Vkrhu jhf zry lirasmt sabyk cidwdrkeuk (‘Thank you for reading about centograqs’).

Editor's Notes

  1. The list of alphabets alone is ‘alphaLIST’ (A1:A26) The formula looks up the letter in the range named ‘spread’ ($F$2:$T$2) from the range of English alphabets named ‘alphaLIST’ ($A$1:$A$26) and assigns corresponding numbers based on its relative position in the list of letter.
  2. All the extracted letters were converted to lower cases hence the function LOWER(). The remaining part of the formula extracts one letter from the given word contained in the column [Word] based on the length of the word (@[Length]) and the position of the letter in the word. The formula was written as an array formula, hence the curly brackets before and after the formula, so that the table references would remain absolute and not relative except ‘E2’. CHAR() and CODE() were used in the formula to enhance the output of IFERROR() which would return ‘0’ should the output of CHAR() be an error. This formula is more compact instead of using the IF() function which would have required that we re-write the formula being evaluated twice.
  3. The formula matched each letter in the columns [1st] to [14th] from the list ‘alpha’ and sums them using SUMPRODUCT(). Note that this is written as an array formula. I made a deduction of 14 from the sum in order to account for ‘0’ which add been added to the top of the list ‘alpha’ to avoid blanks.
  4. Hence the difference between the [length] of the word and the number of [unique] letters gives insight into the words whose values are [completely unique] and which ones have at least one repeated letter.
  5. The shortest words are tousy, struv, totty, buzzy, nutty, and pussy The longest words are Batrachoididae and Biddulphiaceae, both of which are scientific jargons. The average word length for centograqs is quite higher than the average length of English words which has been widely documented at approximately 5-letter long in a text (Bochkarev, Shevlyakova, & Solovyev, 2015). But for distinct words, which resembles the use of a dictionary, the average word length is approximately 8-letter long
  6. One out of every five centograq ends with letter ‘e’ One out of every ten centograq ends with letter ‘s’
  7. Findings in this section are similar to the findings of Rick Wicklin (Wicklin, 2014) who analyzed further “Peter Norvig’s analysis of 774-billion word corpus of documents that were digitized at Google” (Norvig, 2012). Wicklin found that ‘LL’ is the most common twin bigram followed by ‘SS’, ‘EE’, ‘OO’, and ‘TT’ and there were also 20 letters that have twin bigrams including ‘XX’, ‘UU’, and ‘HH’, which are mostly likely non-English words or more likely proper nouns from other languages that appear in the corpus. However, unlike the corpus, ‘KK’ appears in the English dictionary and among centograqs.
  8. A table was constructed with the showing the relative positions of the letters of centograqs. A second table was generated that ranked the letters by position The new table is the then used in scrambling words.