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Added frequency analysis

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This commit is contained in:
Tim Stallard
2017-02-26 13:19:28 +00:00
parent e9ff18fb4c
commit f157a5aaa2
14 changed files with 17987 additions and 3 deletions
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39
other/frequencies/digraphs/data.txt Normal file
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th 5532 th 1.52
he 4657 he 1.28
in 3429 in 0.94
er 3420 er 0.94
an 3005 an 0.82
re 2465 re 0.68
nd 2281 nd 0.63
at 2155 at 0.59
on 2086 on 0.57
nt 2058 nt 0.56
ha 2040 ha 0.56
es 2033 es 0.56
st 2009 st 0.55
en 2005 en 0.55
ed 1942 ed 0.53
to 1904 to 0.52
it 1822 it 0.50
ou 1820 ou 0.50
ea 1720 ea 0.47
hi 1690 hi 0.46
is 1660 is 0.46
or 1556 or 0.43
ti 1231 ti 0.34
as 1211 as 0.33
te 985 te 0.27
et 704 et 0.19
ng 668 ng 0.18
of 569 of 0.16
al 341 al 0.09
de 332 de 0.09
se 300 se 0.08
le 298 le 0.08
sa 215 sa 0.06
si 186 si 0.05
ar 157 ar 0.04
ve 148 ve 0.04
ra 137 ra 0.04
ld 64 ld 0.02
ur 60 ur 0.02

20
other/frequencies/digraphs/index.js Normal file
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var data = require("fs").readFileSync("data.txt").toString();
console.log(
JSON.stringify(
data
.replace(/\r/g, "")
.split("\n")
.filter((a)=>(a))
.map((line)=>(
line
.split("\t")
.filter((a)=>(a))
))
.map((sections)=>([sections[0], parseFloat(sections[4])]))
.reduce((freqs, freq)=>{
freqs[freq[0]] = freq[1];
return freqs;
}, {})
)
)

52
other/frequencies/firstLetter/data.txt Normal file
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|-
|align="center"|'''a'''||align="right"|{{bartable|11.602|%|20||background:blue}}
|-
|align="center"|'''b'''||align="right"|{{bartable| 4.702|%|20}}
|-
|align="center"|'''c'''||align="right"|{{bartable| 3.511|%|20}}
|-
|align="center"|'''d'''||align="right"|{{bartable| 2.670|%|20}}
|-
|align="center"|'''e'''||align="right"|{{bartable| 2.007|%|20||background:blue}}
|-
|align="center"|'''f'''||align="right"|{{bartable| 3.779|%|20}}
|-
|align="center"|'''g'''||align="right"|{{bartable| 1.950|%|20}}
|-
|align="center"|'''h'''||align="right"|{{bartable| 7.232|%|20}}
|-
|align="center"|'''i'''||align="right"|{{bartable| 6.286|%|20||background:blue}}
|-
|align="center"|'''j'''||align="right"|{{bartable| 0.597|%|20}}
|-
|align="center"|'''k'''||align="right"|{{bartable| 0.590|%|20}}
|-
|align="center"|'''l'''||align="right"|{{bartable| 2.705|%|20}}
|-
|align="center"|'''m'''||align="right"|{{bartable| 4.383|%|20}}
|-
|align="center"|'''n'''||align="right"|{{bartable| 2.365|%|20}}
|-
|align="center"|'''o'''||align="right"|{{bartable| 6.264|%|20||background:blue}}
|-
|align="center"|'''p'''||align="right"|{{bartable| 2.545|%|20}}
|-
|align="center"|'''q'''||align="right"|{{bartable| 0.173|%|20}}
|-
|align="center"|'''r'''||align="right"|{{bartable| 1.653|%|20}}
|-
|align="center"|'''s'''||align="right"|{{bartable| 7.755|%|20}}
|-
|align="center"|'''t'''||align="right"|{{bartable|16.671|%|20}}
|-
|align="center"|'''u'''||align="right"|{{bartable| 1.487|%|20||background:blue}}
|-
|align="center"|'''v'''||align="right"|{{bartable| 0.649|%|20}}
|-
|align="center"|'''w'''||align="right"|{{bartable| 6.753|%|20}}
|-
|align="center"|'''x'''||align="right"|{{bartable| 0.017|%|20}}
|-
|align="center"|'''y'''||align="right"|{{bartable| 1.620|%|20}}
|-
|align="center"|'''z'''||align="right"|{{bartable| 0.034|%|20}}

21
other/frequencies/firstLetter/index.js Normal file
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var data = require("fs").readFileSync("data.txt").toString();
console.log(
JSON.stringify(
data
.replace(/\r/g, "")
.split("\n")
.filter((line)=>(line != "|-"))
.filter((a)=>(a))
.map((line)=>(
line
.replace(/\|\|/g, "|")
.split("\|")
))
.map((sections)=>([sections[2].replace(/'/g, ""), parseFloat(sections[5])]))
.reduce((freqs, freq)=>{
freqs[freq[0]] = freq[1];
return freqs;
}, {})
).replace(/,/g, ",\n")
)

51
other/frequencies/singleLetters/data.txt Normal file
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|align="center"|'''a'''||align="right"|{{bartable| 8.167|%|20||background:blue}}
|-
|align="center"|'''b'''||align="right"|{{bartable| 1.492|%|20}}
|-
|align="center"|'''c'''||align="right"|{{bartable| 2.782|%|20}}
|-
|align="center"|'''d'''||align="right"|{{bartable| 4.253|%|20}}
|-
|align="center"|'''e'''||align="right"|{{bartable|12.702|%|20||background:blue}}
|-
|align="center"|'''f'''||align="right"|{{bartable| 2.228|%|20}}
|-
|align="center"|'''g'''||align="right"|{{bartable| 2.015|%|20}}
|-
|align="center"|'''h'''||align="right"|{{bartable| 6.094|%|20}}
|-
|align="center"|'''i'''||align="right"|{{bartable| 6.966|%|20||background:blue}}
|-
|align="center"|'''j'''||align="right"|{{bartable| 0.153|%|20}}
|-
|align="center"|'''k'''||align="right"|{{bartable| 0.772|%|20}}
|-
|align="center"|'''l'''||align="right"|{{bartable| 4.025|%|20}}
|-
|align="center"|'''m'''||align="right"|{{bartable| 2.406|%|20}}
|-
|align="center"|'''n'''||align="right"|{{bartable| 6.749|%|20}}
|-
|align="center"|'''o'''||align="right"|{{bartable| 7.507|%|20||background:blue}}
|-
|align="center"|'''p'''||align="right"|{{bartable| 1.929|%|20}}
|-
|align="center"|'''q'''||align="right"|{{bartable| 0.095|%|20}}
|-
|align="center"|'''r'''||align="right"|{{bartable| 5.987|%|20}}
|-
|align="center"|'''s'''||align="right"|{{bartable| 6.327|%|20}}
|-
|align="center"|'''t'''||align="right"|{{bartable| 9.056|%|20}}
|-
|align="center"|'''u'''||align="right"|{{bartable| 2.758|%|20||background:blue}}
|-
|align="center"|'''v'''||align="right"|{{bartable| 0.978|%|20}}
|-
|align="center"|'''w'''||align="right"|{{bartable| 2.360|%|20}}
|-
|align="center"|'''x'''||align="right"|{{bartable| 0.150|%|20}}
|-
|align="center"|'''y'''||align="right"|{{bartable| 1.974|%|20}}
|-
|align="center"|'''z'''||align="right"|{{bartable| 0.074|%|20}}

21
other/frequencies/singleLetters/index.js Normal file
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var data = require("fs").readFileSync("data.txt").toString();
console.log(
JSON.stringify(
data
.replace(/\r/g, "")
.split("\n")
.filter((line)=>(line != "|-"))
.filter((a)=>(a))
.map((line)=>(
line
.replace(/\|\|/g, "|")
.split("\|")
))
.map((sections)=>([sections[2].replace(/'/g, ""), parseFloat(sections[5])]))
.reduce((freqs, freq)=>{
freqs[freq[0]] = freq[1];
return freqs;
}, {})
).replace(/,/g, ",\n")
)

17576
other/frequencies/trigraphs/data.txt Normal file
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23
other/frequencies/trigraphs/index.js Normal file
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var data = require("fs").readFileSync("data.txt").toString();
var frequencies = data
.replace(/\r/g, "")
.split("\n")
.filter((a)=>(a))
.map((line)=>(
line
.split("\t")
.filter((a)=>(a))
))
.map((sections)=>([sections[0], parseFloat(sections[1])]))
.reduce((freqs, freq)=>{
freqs[freq[0]] = freq[1];
return freqs;
}, {});
var total = Object.values(frequencies).reduce((a, b)=>(a + b));
var percentages = {};
var trigraphs = Object.keys(frequencies).splice(0, 26);
for(var trigraph of trigraphs){
percentages[trigraph] = frequencies[trigraph] / total * 100;
}
console.log(percentages);