# data[].attributes.headline
How data is presented can determined how the knowledge is interpretated 

# data[].attributes.subject
How data is presented can determined how the knowledge is interpretated 

# data[].attributes.body
Different from economic theories, data are usually real world examples that are generally more specific and detailed

# data[].attributes.body
diagrams are often used to summarize complex information, more clear to understand

# data[].attributes.body
different types of data and information can lead to confusion

# data[].attributes.body
We can get more accurate knowledge from the data.

# data[].attributes.body
Clear labels and numbers can ensure nothing is misinterpreted

# data[].attributes.headline
Data helps clarify knowledge therefore leading to an acquisition of knowledge

# data[].attributes.subject
Data helps clarify knowledge therefore leading to an acquisition of knowledge

# data[].attributes.body
There are always limitations to data. For example, the data for GDP per capita of a country is only an average and does not take into account income inequalities. GDP also is unable to reflect on economic wellbeing.

# data[].attributes.body
Data can help communicate and confirm to other people what knowledge you are trying to express

# data[].attributes.body
If data is presented in a jumbled way and is confusing to either read or understand, further understanding could be needed in order for an individual to consume that knowledge correctly

# data[].attributes.headline
If we see the same information over and over we think it is important 

# data[].attributes.subject
If we see the same information over and over we think it is important 

# data[].attributes.headline
Presentation of data determines how accurate we can interpret and evaluate information of the real world

# data[].attributes.subject
Presentation of data determines how accurate we can interpret and evaluate information of the real world

# data[].attributes.body
Enable organizations to make informed decisions.

# data[].attributes.body
Graph isn't only just a presentation of data, but also for visually representing relationships and connections for different things. For example: How do interest rates affect home sales?

# data[].attributes.body
Percentages in economics and overall fixed data can lead to different ways of interpreting the data and information given

# data[].attributes.headline
Word heavy data requires strong language skill and practice. 

# data[].attributes.subject
Word heavy data requires strong language skill and practice. 

# data[].attributes.body
Data provides evidence for theories, making them more understandable.

# data[].attributes.body
Presentation of new data can often raise more questions, for example why we see a certain trend across the data

# data[].attributes.body
Graphs help me spot trends very quickly

# data[].attributes.body
correlation doesn't equal causation

not seeing all the variables can affect the data