U2 O2- Data Analysis & Visualisation Flashcards
(41 cards)
Primary source (data): + methods to collect
Collecting of data, directly or firsthand from stakeholders.
Methods used to collect primary data analysis include:
- interviews
- observation
- surveys.
Secondary source (data): + methods to collect
Data that is collected by someone other than the user.
Methods used to collect:
- newspapers
- books
- magazines
Data integrity:
Refers to the quality of the data, in relation to accuracy, authenticity, relevance and timeliness.
(Data integrity) Accuracy:
Making sure all the data is correct, without any mistakes
(Data integrity) Authenticity:
Data that is genuine, original and trustworthy
(Data integrity) Relevance:
How useful the information is, and if it meets the information need of the user
(Data integrity) timeliness:
How relevant the data is for the time period.
Information that is not too old, and has been produced in time to be useful
Data types:
Particular forms that an item of data can take, including numeric, characters and Boolean.
(Data types) Character:
A single letter/number/symbol, usually stored in 2 bytes of memory.
—Numbers stored as characters cannot be used in mathematical equations—
(Data types) Text—string:
Data that consists 2 or more characters, “string of characters”.
Memory = 2bytes ✖️length of string
(Data types) integer:
Data that consists of whole numbers, no fractional or decimal.
4 bytes of memory
—Can be used in mathematical equations—
(Data types) Boolean:
Only holds two possible values, usually true or false.
1 byte of memory
(Data types) Floating point—decimal:
Numbers with fractional or decimal components
12 bytes of memory
Data structure: + 3 examples
A particular way of organising a collection of data items.
Helps improve efficiency of the data handling process
- arrays
- records
- files
(Data structure) Array:
A collection of data items generally so the same data type
Each item is allocated an address
(Data structure) record:
A collection of data items of different data types
Each element of a record is called a field.
(Data structure) file:
Trev
Data visualisation:
The presentation of data in a pictorial or graphical format
Types of data visualisations:
Detail??
- charts
- maps
- networks
- time series
- hierarchy
- flow
- matrix
(PSM analysis) Solution requirements:
+list
What the client needs from the solution
- functional
- non-functional
(PSM-A) Functional requirements:
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
(PSM-A) Non-Functional requirements:
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
(PSM-A) Solution constraints:
+list
Factors that may limit or restrict the solution requirements
- Economic
- Technical
- Social, legal & useability
(PSM-A) Economic:
Include time and cost… affecting the design and development of the solution
