VA Session 8 & 9 Alteryx ^ Flashcards

1
Q

Data Transformation

A
  • adding or modifying variables
  • e.g. computing variable C from A & B or applying log-transformation on single variable
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2
Q

Data Manipulation

A
  • modification of information to make it easier to read or more structured
  • Data transformation (adding or modifying values) & filtering, sorting, aggregating
  • e.g. data values sorted in alphabetical order, making it easier to find individual entries
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3
Q

Data Modelling

A

Applying statistical models or
Way of identifying & mapping data used in business processes & relationship (data engineers)

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4
Q

Dataset

A

collection of values (numbers or strings)

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5
Q

Values

A

belongs to a variable or observation

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6
Q

Variable

A

contains all values that measure same underlying attribute (e.g. height) across units -> columns

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7
Q

Observation

A

contains all values measured on same unit (e.g. person, day) -> rows

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8
Q

Alteryx Definition

A
  • low-code no-code data blending & transformation tool (making data accessible to anyone)
  • Goal: clean data where variables being columns & observations rows (Alteryx & Tableau prefer this data structure)
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9
Q

Workflow design

A

Should be designed in structured & well-documented manner (you later & colleagues should understand)

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10
Q

Workflow Design - Methods

A

o Colors
o Containers
o Use of space (unlimited)
o Input on left hand side, outputs to right
o Documentations incl. comments
o Workflow tests (message = I and tests = + / - sign)

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11
Q

Difference input data & input text

A
  • Input Data: reads data into workflow (select a file or connect to a database)
  • Input Text: manually enter text to create small data files for input (useful in testing while building workflow) -> data saved within the workflow -> share the workflow without having to provide an input data filter
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12
Q

Browse Tool

A
  • to view data from a connected tool & data Profile information
  • for multiple columns in single holistic view, or for 1 column
  • information on data type, number of records, data quality, and a variety of statistics.
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13
Q

Cross Tab vs Transpose

A
  • Cross Tab: from long into wide format
  • Transpose: from wide into long format
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