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Conputing Unit 2 > U2 O2- Data Analysis & Visualisation > Flashcards

U2 O2- Data Analysis & Visualisation Flashcards

1
Q

Primary source (data): + methods to collect

A

Collecting of data, directly or firsthand from stakeholders.

Methods used to collect primary data analysis include:

  • interviews
  • observation
  • surveys.
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2
Q

Secondary source (data): + methods to collect

A

Data that is collected by someone other than the user.

Methods used to collect:

  • newspapers
  • books
  • magazines
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3
Q

Data integrity:

A

Refers to the quality of the data, in relation to accuracy, authenticity, relevance and timeliness.

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4
Q

(Data integrity) Accuracy:

A

Making sure all the data is correct, without any mistakes

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5
Q

(Data integrity) Authenticity:

A

Data that is genuine, original and trustworthy

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6
Q

(Data integrity) Relevance:

A

How useful the information is, and if it meets the information need of the user

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7
Q

(Data integrity) timeliness:

A

How relevant the data is for the time period.

Information that is not too old, and has been produced in time to be useful

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8
Q

Data types:

A

Particular forms that an item of data can take, including numeric, characters and Boolean.

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9
Q

(Data types) Character:

A

A single letter/number/symbol, usually stored in 2 bytes of memory.

—Numbers stored as characters cannot be used in mathematical equations—

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10
Q

(Data types) Text—string:

A

Data that consists 2 or more characters, “string of characters”.

Memory = 2bytes ✖️length of string

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11
Q

(Data types) integer:

A

Data that consists of whole numbers, no fractional or decimal.

4 bytes of memory
—Can be used in mathematical equations—

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12
Q

(Data types) Boolean:

A

Only holds two possible values, usually true or false.

1 byte of memory

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13
Q

(Data types) Floating point—decimal:

A

Numbers with fractional or decimal components

12 bytes of memory

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14
Q

Data structure: + 3 examples

A

A particular way of organising a collection of data items.
Helps improve efficiency of the data handling process

  • arrays
  • records
  • files
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15
Q

(Data structure) Array:

A

A collection of data items generally so the same data type

Each item is allocated an address

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16
Q

(Data structure) record:

A

A collection of data items of different data types

Each element of a record is called a field.

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17
Q

(Data structure) file:

A

Trev

18
Q

Data visualisation:

A

The presentation of data in a pictorial or graphical format

19
Q

Types of data visualisations:

Detail??

A
  • charts
  • maps
  • networks
  • time series
  • hierarchy
  • flow
  • matrix
20
Q

(PSM analysis) Solution requirements:

+list

A

What the client needs from the solution

  • functional
  • non-functional
21
Q

(PSM-A) Functional requirements:

A

What the solution will do

Ex
•display population data of town in Vic in a visual format
•represent the distances between these towns
•allow the user to zoom in on a particular region or town
•allow the user to select an individual town to read more detailed info

22
Q

(PSM-A) Non-Functional requirements:

A

Other requirements not affecting what the solution does, however making it more..

Ex
•user friendly
•not display any personal detail
•compatible with different web browsers and operating systems

23
Q

(PSM-A) Solution constraints:

+list

A

Factors that may limit or restrict the solution requirements

  • Economic
  • Technical
  • Social, legal & useability
24
Q

(PSM-A) Economic:

A

Include time and cost… affecting the design and development of the solution

25
Q

(PSM-A) Technical constraints:

A

Constraints related to the hardware and software available for the project

26
Q

(PSM-A) Social, legal and useability:

A

Non-technical constraints— Limitation relating to areas other than software and hardware

27
Q

File formats:

A

Used to store data in visualisations

28
Q

XLM/XLMS Files:

A

An excel Microsoft office open XML format spreadsheet file

29
Q

WMS File:

A

A web map service standard that involves retrieving map images over the intern from a web server

30
Q

GIS File:

A

A file format that contains geographical data

31
Q

CSV (comma separated value) file:

A

A file type that stores data in tabular format in a plain text file

32
Q

API (Application Programming interface) tools:

A

A tool that allows live data to be collected from external websites

33
Q

(Design tools) Solution design:

A

Planning how the solution will appear and function, assisted by design appearance and functionality tools.

34
Q

(Design tools) layout diagram:

-Appearance

A

Shows how the final visualisation will appear

35
Q

(Design tools) Storyboard:

-Appearance

A

Shows how the data-visualisation animation might work

36
Q

(Design tools) IPO chart:

-Functionality

A

Shows how a solution will function

37
Q

(Design tools) Flowchart:

-Functionality

A

Show the procedure users follow o create data visualisations

38
Q

Format:

A

Related to the font type and size selected, background colour used and any other change of appearance

39
Q

Convention:

A

General rules that are followed when using a particular format.

Ex. When creating Data-vis need to include:
•clear title
•label x/y-axis
•use key/legend to identify different data items
•clearly title the vis, and explain purpose

40
Q

(Software tools and functions) Extracting data:

A
  • Spreadsheet software
  • database software
  • programming languages
41
Q

(Software tools and functions) Displaying data:

A
  • Spreadsheet software
  • Google
  • Tableau public
  • OpenHeatMap

Conputing Unit 2 (1 decks)

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