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Prepping material for publication.
1. Moving old Lulu edition material into `beta`. 2. Drafting blurbs and notes needed for Taylor & Francis. 3. Moving list of acceptable non-standard words into `.wordlist`. 4. Fixing spelling mistakes. 5. Regenerating. 6. Adding copy-editor notes from Taylor & Francis.
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etc/wordlist.txt .wordlist

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Abhinav
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Andrzej
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AsteroidList
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BSc
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Beazley
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Brundle
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CDN
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CORS
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CRLA
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Callithrix
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Callitrichidae
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CamelCase
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Chiranjeev
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ChooseRange
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ClassName
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ColumnNamesIterable
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CommonJS
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CountIterable
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DF
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DM
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DNS
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DOCTYPE
@@ -23,18 +29,20 @@ DOMContentLoaded
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DataChart
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DataDisplay
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DataExplorer
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DataFrame
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DataManager
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Dataframes
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DateSubmit
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Destructuring
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Druskat
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EMBL
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ENIAC
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ENOENT
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Ee
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Efraim
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ErrorMessage
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Eschweiler's
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Ess
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FIXME
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ExtractElementIterable
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Favorites
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GPL
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Gans
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JSON
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JSX
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Jacchus
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LARO
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LTS
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Leung
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Lichterman
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ListElement
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ListOfNames
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Lite's
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MByte
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MDN
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MULTIPOLYGON
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Makefile
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McNulty
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Meltzer
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Moreau
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MultiIterable
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NL
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NPM
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NPM's
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NodeList
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NumberDisplay
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OL
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OOP
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Oskar
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PNG
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PapaParse
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README
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READWRITE
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REPL
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REPLs
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RGB
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RGBA
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Rangle
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Raniere
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ReactDOM
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RunKit
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SQLite
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SVG
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Sortable
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Sumi
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Supertest
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Suri
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SurveyStats
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TableDisplay
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TypeError
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Typeof
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USGS
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UTF
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Uieda
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Unrandom
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ascii
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async
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autofill
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averageValues
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b's
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babelrc
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baseUrl
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bioinformatician
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boolean
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bulleted
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bundler
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calc
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calculateRoute
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calculateSphereVolume
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cataloging
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checkedOutput
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choosealicense
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clickability
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cls
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collab
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colorized
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colorscheme
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columnName
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columnNames
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commandline
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componentDidMount
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concatFirst
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configFn
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const
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contributors's
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coords
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createElement
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createTextNode
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css
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customizable
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dat
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dataManager
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dataforge
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dataframe
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dataframe's
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dataframes
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dataman
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dataset
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datatypes
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deepEqual
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deleteOne
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destructuring
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detectTypes
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dev
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dir
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dirname
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dom
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dotThenTrim
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doubleInPlace
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doubleSorted
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douglass
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dr
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dropSeries
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ds
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dynamicTyping
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eitheor
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eitherr
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encodings
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env
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ess
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fontStyle
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forEach
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frederick
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fromCSV
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fromObjects
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fromSpec
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fromText
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fs
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func
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generateSeries
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genomic
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getAll
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getAttribute
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getAve
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getElementById
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getHours
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getLongerThan
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getMax
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getMin
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getMinutes
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getOne
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getSeconds
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getWithinLengthRange
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gitignore
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globpath
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gnis
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gpl
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hasEgg
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groupBy
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groupedByMagnitude
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hindfoot
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holdingMessage
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hostname
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img
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inFile
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inMemory
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init
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innerHTML
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inputFile
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inputValue
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isBaked
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isFile
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isNaN
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isTruthy
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iterables
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jane
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javascript
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jeStats
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jpg
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js
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json
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jumbotron
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justResults
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lastID
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lastName
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li
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libName
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linebreak
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lll
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llll
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llp
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loc
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localeCompare
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mjs
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moby
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msg
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multiColumn
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nan
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newArray
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newData
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newDate
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newValue
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nodeType
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nonBlocking
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nosql
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notTheSame
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npm
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numLines
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numNan
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ol
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ome
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onChange
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onload
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oop
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openSync
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orderBy
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otherValues
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outputFile
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overline
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param
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parameterized
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params
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parkname
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parseDates
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parseFloats
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parseInt
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parseInts
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passwd
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pdf
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plusmn
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px
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quartiles
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querySelectorAll
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reactDOM
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readFile
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readFileSync
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rebundles
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someValue
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sorcerors
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sortLists
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sortlist
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sql
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sqlite
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src
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stringify
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stylesheet
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stylesheets
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substring
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substrings
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sumsAndProducts
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supertest
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supertest's
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swingAxe
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templating
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testability
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textContent
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texttt
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thenBy
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tiat
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tl
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toArray
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toString
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toUpperCase
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toolkits
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trimThenDot
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truthy
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txt
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typeof
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typesDf
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ul
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uncommenting
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unicode
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url
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usr
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utf
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validDate
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vals
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vis
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whitespace
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winston
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withHundreds
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withSeries
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wordcount
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workshopDuration
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workshopId
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workshopName
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writeFileSync
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xml
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yearData
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z's

Makefile

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## spell : check spelling.
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spell :
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@-cat ${TEX_CHAPTERS} | aspell -t list | sort | uniq | diff -y --suppress-common-lines - etc/wordlist.txt
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@-cat ${TEX_CHAPTERS} | aspell -t list | sort | uniq | diff -y --suppress-common-lines - .wordlist
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## words : count words.
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words :

basics.tex

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\noindent
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If that initial check finds that \texttt{values} does have a length---i.e.,
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\texttt{!values.length} returns \texttt{false}---the rest of the function is run.
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This involves first initialising two variables,
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This involves first initializing two variables,
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\texttt{low} and \texttt{high},
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with their values set as equal to the first item in \texttt{values}.
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etc/js-vs-ds.pdf beta/js-vs-ds.pdf

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dataforge.tex

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Magnitude: 3.1 } ]
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\end{minted}
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\figpdf{figures/dataforge-positional.pdf}{Seleting by Position}{f:dataforge-positional}
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\figpdf{figures/dataforge-positional.pdf}{Selecting by Position}{f:dataforge-positional}
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However,
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it's far more common to select rows by the values they contain rather than by their position.\index{dataframe!select by value}
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\end{minted}
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\exercise{Revisting Data Manipulation}
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\exercise{Revisiting Data Manipulation}
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Back in the chapter on data manipulation,
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we aggregated \texttt{surveys.csv} to find the minumum, maximum and average values
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we aggregated \texttt{surveys.csv} to find the minimum, maximum and average values
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for \texttt{year}, \texttt{hindfoot\_length}, and \texttt{weight}.
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Repeat this exersize using the methods of \texttt{data-forge}.
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Repeat this exercise using the methods of \texttt{data-forge}.
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\exercise{Grouping and Aggregating}
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