rename to ngram comparison

python/data science/ngram comparison/dubious, orangutan, round, mockingjay, aloof.csv

@@ -0,0 +1,6 @@
+,word,stdev,mean,median,mode,range,q1,q3,iqr
+0,dubious,8.074856963177907e-07,2.542098164301882e-06,2.5695727734793242e-06,4.196504846731841e-06,3.0245116704463726e-06,1.7397420484550302e-06,3.226037254730077e-06,1.4862952062750469e-06
+1,orangutan,5.6744864045068366e-08,3.709309897005132e-08,4.059187335465302e-09,0.0,2.0444374675727367e-07,1.531135297914789e-09,5.4957968334942316e-08,5.3426833037027525e-08
+2,round,3.7075802680862356e-05,9.990977901072485e-05,9.360353422899996e-05,0.00014768174514756538,0.00010513432425796054,6.460826716647716e-05,0.0001398687179192036,7.526045075272644e-05
+3,mockingjay,1.1911438316609437e-09,2.859439078539958e-10,0.0,0.0,6.579021454606553e-09,0.0,0.0,0.0
+4,aloof,6.530476796203353e-07,2.167393662317789e-06,1.9966990976172383e-06,1.9491102136726113e-06,2.2848745564780463e-06,1.7225131533190767e-06,2.6828633557280616e-06,9.60350202408985e-07

python/data science/ngram comparison/metropolis, birthday, acidic, bell, weed.csv

@@ -0,0 +1,6 @@
+,word,stdev,mean,median,mode,range,q1,q3,iqr
+0,metropolis,6.073817672768758e-06,7.041652849609334e-06,3.609500173037564e-06,1.642420852476789e-05,1.6955333243069098e-05,1.928710913391894e-06,1.4107718048502907e-05,1.2179007135111014e-05
+1,birthday,3.405409725020581e-06,4.93635729905203e-06,4.5630913194015325e-06,1.55403999713144e-06,1.4859627640362307e-05,2.301730376075284e-06,6.613718677986721e-06,4.311988301911437e-06
+2,acidic,1.6654465043640538e-06,1.3954760914678144e-06,4.975661259517698e-07,2.545503958411339e-09,5.43006051443148e-06,1.0417356749051595e-08,3.052730814293422e-06,3.0423134575443704e-06
+3,bell,4.782058488531253e-06,1.399854644241753e-05,1.3900812583805028e-05,1.338126594419009e-05,1.488321056188267e-05,1.0143385549911598e-05,1.8471108173149074e-05,8.327722623237476e-06
+4,weed,1.0333904520821366e-06,5.493248520879915e-06,5.3136455855045436e-06,4.667169719141384e-06,4.562449346069894e-06,4.725501274346503e-06,6.275106622004906e-06,1.5496053476584033e-06

python/data science/ngram comparison/shuffle, metal, cancer, tumour, milk, gelatinous.csv

@@ -0,0 +1,7 @@
+,word,stdev,mean,median,mode,range,q1,q3,iqr
+0,shuffle,2.8673060629074946e-07,5.429429098575131e-07,4.4282361955083616e-07,3.7689945031615935e-07,1.3133971262526584e-06,3.9387709957087023e-07,5.137637860538494e-07,1.1988668648297913e-07
+1,metal,2.0682785887437696e-05,5.254399138449388e-05,4.836078629263543e-05,2.5583417482266668e-05,6.797832975280471e-05,3.6084721484387827e-05,7.032199755485635e-05,3.4237276070468526e-05
+2,cancer,1.7022368592568055e-05,1.5733501132405006e-05,9.378232204783543e-06,1.3189397805035696e-06,5.6970578595740206e-05,4.049281374461446e-06,1.7681010311727213e-05,1.3631728937265768e-05
+3,tumour,2.1500591548720935e-06,4.625488593566766e-06,4.095890549901274e-06,2.4707894965558808e-06,7.625295730966693e-06,3.083135701282507e-06,6.133632479889327e-06,3.0504967786068197e-06
+4,milk,2.7191419514085662e-05,5.2395630572415005e-05,4.103317821448269e-05,3.3496857668069424e-05,8.62747095067919e-05,3.0137208990968895e-05,7.541660098857912e-05,4.527939199761022e-05
+5,gelatinous,6.577880965619697e-07,1.300876115839117e-06,1.4086507625116999e-06,2.0936527675985417e-06,2.1166140616709787e-06,6.835318251725247e-07,1.8606867188607014e-06,1.1771548936881767e-06

python/data science/ngram comparison/spectacle, barrel, crosshair, glue, gluestick.csv

@@ -0,0 +1,6 @@
+,word,stdev,mean,median,mode,range,q1,q3,iqr
+0,spectacle,3.2429480879403344e-06,6.771791915744198e-06,5.856699804748392e-06,9.107587857215549e-06,9.845617114478955e-06,3.648670623793545e-06,9.891341051115887e-06,6.242670427322342e-06
+1,barrel,2.6416769296902955e-06,1.0432005746376187e-05,9.527937696215563e-06,7.765911732349196e-06,9.6085587496678e-06,8.310214460444903e-06,1.2381324755291903e-05,4.071110294847e-06
+2,crosshair,2.152426057712579e-08,1.5914903575085475e-08,5.3222470557707476e-09,0.0,8.227395552142167e-08,4.1986572948563404e-10,2.353045441034445e-08,2.3110588680858816e-08
+3,glue,9.470770325185394e-07,2.7773073278273166e-06,2.5182879507415886e-06,2.1983999829444656e-06,3.7563733436789855e-06,2.09432297992862e-06,3.648930923342656e-06,1.554607943414036e-06
+4,gluestick,5.707736028592825e-10,2.327464443991583e-10,0.0,0.0,2.8080463192787467e-09,0.0,5.2799550446077805e-11,5.2799550446077805e-11

readme.md

@@ -12,7 +12,7 @@
 - [Data Science](python/data%20science)
   - [Fake Jobs Scraper](python/data%20science/fakejobs.py)
   - [Country Population vs Active Facebook Users in the Country](python/data%20science/facebook.py)
-  - [ngrams Word Popularity](python/data%20science/ngrams/word%20popularity.py)
+  - [ngram comparison](python/data%20science/ngrams%20comparison/ngram%20comparison.py)
 - [Calculators](python/calculators)
   - [Binomial Distribution](python/calculators/binomial%20distribution.py)
   - [Pearson's Product-Moment Correlation Coefficient](python/calculators/pmcc.py)
@@ -20,8 +20,8 @@
   - [Square Root](python/calculators/sqrt.py)
   - [Spearman's Rank Correlation Coefficient](python/calculators/srcc.py)
   - [Standard Deviation](python/calculators/stdev.py)
-- [osu!](python/osu!)
-  - [PP from Beatmap ID](python/osu!/pp.py)
+- [osu!](python/osu)
+  - [PP from Beatmap ID](python/osu/pp.py)
 - [Geometry Dash](python/gd)
   - [2 Stars List](python/gd/2stars.py)
 - [Pong (made with Pygame)](python/pong)