# data[].attributes.body
- Number of people in a population
- Weight of an object
- Height of a person

# data[].attributes.body
Quantitive data are pieces of data which can be expressed numerically and universally observed.

examples:
time in seconds
distance in metres
loudness in decibels

# data[].attributes.body
- Biography
- Diary account
- Hair colour

# data[].attributes.body
Data based off numerical figures and statistics that can be measurable

- Age in months or years.
- Length in centimetres.
- Number of weeks in a year.

# data[].attributes.body
Is numbers-based and measurable

E.g Age, height, weight

# data[].attributes.body
- The distance of an object
- Photographs
- Videos
- Movies

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Qualitative data is an opinion based piece of information which is descriptive and can provide further insight into reasonings behind the numerical data.

- colour of flowers
- qualities of a student
- quality of a product

# data[].attributes.body
Psychological Aspects taken into consideration Vs Only concrete Statistical and Numerical information

# data[].attributes.body
-Objectivity
-Accuracy
-Concrete

# data[].attributes.body
Quantitave data looks more at statistical evidence. Qualitative data looks more at characteristics of something e.g. hair color or subjective opinions

# data[].attributes.body
The approach to data collection differs for qualitative and quantitative data:

Quantitative data refers to any information that can be quantified, counted or measured, and given a numerical value. This set of data usually tends to focus on measuring the inferential statistics (where  the researcher is able to make assumptions about a wider group, using a smaller portion of that group as a guideline) and generalising results.

Qualitative data is descriptive in nature, expressed in terms of language rather than numerical values thus most qualitative data is a result of observations that are being made by the researcher.

# data[].attributes.body
Descriptive data based off on observations, it cannot be measured or counted.

- Scent
- Diary accounts
- Description of appearance

# data[].attributes.body
Languaged based relatingto language and interpretation

E.g Photos, Movies, Interviews

# data[].attributes.body
- Objective
- Accurate since less variables
-

# data[].attributes.body
-Emotional connection
-Insights specific to different situations
-Content Generator
-Understand attitudes

# data[].attributes.body
Provides a detailed, in-depth analysis, and creates data that leads to further research.

# data[].attributes.body
Qualitative -  Factual/Empircal
Quantitative - Subjective/Non-Empirical

# data[].attributes.body
- Provides perspective
- Gives insight to way people think
- More detail to the data e.g. explanation of why it is

# data[].attributes.body
Objective
Accurate
Factual

# data[].attributes.body
Information that is quantified or measured to produce numerical data; e.g. the average height, weight and number of students.

# data[].attributes.body
Detailed
Insightful

# data[].attributes.body
Qualitative
- subjective, interpretation based, observation

Quantitative
- objective, number & statistic based, (accurate) measurements

# data[].attributes.body
More in-depth, can answer the why and how question to an observation

# data[].attributes.body
- Cannot have biased findings

# data[].attributes.body
Quantitative data refers to to tangible and measurable data.

# data[].attributes.body
- straightforward
- accurate
- easier to draw conclusions

# data[].attributes.body
Quantitative data is an objective way of disseminating information as it refers to any information that can be quantified, counted or measured, and given a numerical value. It is data that is typically based off observations made by the researcher(s).

Examples include:
- Revenue in dollars.
- Weight in kilograms.
- Age in months or years.

# data[].attributes.body
Quantitative -information that can be measured/ counted/ quantified -given in numerical value/ data
Eg) Cost, weight, time, distance

# data[].attributes.body
1. Qualitative data on an identical situation/ object can vary between observers, whereas quantitative data is universally consistent.
2. Descriptive vs Numerical
3. Quantitative data can only provide an understanding of the situation at its face, whereas Qualitative data can provide an understanding of the reasons behind the quantitive data. Eg. revenue streams of the business have declined in recent months (quantitive), as the area has become more dirty and unpleasant (qualitative).
4. Subjective vs Objective

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Experiment easily replicated, as data collecting procedure is fixed, measurable.

# data[].attributes.body
- detailed recounts
- provides a predictive element for continuous data
- more flexible

# data[].attributes.body
Qualitative data are intangible observations. They are not measurable like quantitative data.

# data[].attributes.body
- data collection is quick, straightforward, doesn't require personal thought
- concrete, trustworthy
- cannot be challenged (if methods are carried out accurately)

# data[].attributes.body
Qualitative data

Interpretation-based, subjective and unique, “why” or “how” behind mannerisms, themes, interviewing and observing methods

Quantitative data

Numbers-based, fixed and universal, calculations, statistical analysis, measuring and counting methods

# data[].attributes.body
Quantitative - Information in the form of Data. E.g numbers, measurements, amounts

# data[].attributes.body
Expressed through textual data and is subjective and observational; such examples are hair colour, blood type or ethnic group.

# data[].attributes.body
Qualitative
- descriptive/ expressed terms of language rather than numbers
- describes information that cannot be measured/ counted
- Answer: "why"/ "how" , open ended questions in order to express true feelings and actions without guidance

# data[].attributes.body
quantitative - based on numeric data using statistical analysis

# data[].attributes.body
- can provide a broader understanding
- situation may require qualitative data to be used (eg. colour)

# data[].attributes.body
- Tangible
- Appropriate statistical data
- Straightforward

# data[].attributes.body
qualitative data - descriptive, expressed in terms of language. qualitative research gives a chance to understand the trends and meanings of natural actions it's therefore flexible and iterative

# data[].attributes.body
Qualitative data is a subjective way of disseminating information as it relies on the researcher to provide their interpretation of their findings based off their observations. It is descriptive in nature and expressed in terms of language rather than numerical values.

Examples include:
- 5 senses
- Diary accounts
- Photographs/Videos

# data[].attributes.body
quantitative
- numbers-based, countable, or measurable
qualitative
- interpretation-based, descriptive, and relating to language

# data[].attributes.body
Quantitative:
- numbers-based
- countable and measurable
- how many/much -calculations
- fixed/ universal
- statistical analysis

Qualitative:
- based on interpretations
- descriptive
- relate to language
- help understand why/how/what happened
- subjective/ unique
- analyse categorised data

# data[].attributes.body
quantitative
- easy to collect
- interpretation involved less error

# data[].attributes.body
qualitative
- in dept insights to context
- good for explorational purposes