# data[].attributes.body
Example of a leading question

when did you realised that I AM GOD :3 ?

# data[].attributes.body
Look at only the data that you believe out of all other results. The way companies think can be influenced by presentation of employee. The data might not be provided in a full picture which can lead to poorly informed decisions.

By looking at the specific part of a data, you can confirm what you believe.

# data[].attributes.body
Some datas can look the same but are completely different for example, the y axis can be doubling each time or there can be no data labelled for an axis. This may lead the reader to think that the data are the same but they can be completely different.

# data[].attributes.body
How you phrase a question may influence the answer you get

By asking

-confirmation
ex. Wouldn't you agree ?

You're leading the respondent to say yes and narrow the number of answer the respondent can give to only yes or no

# data[].attributes.body
-not representative
-example, survey customer satisfaction, only ask 10 regular customers=not generalisable to all customers
-small group can lead to biased sampling
-smaller= less diverse
-eg, sample of pinky pie and rarity is not generalisable to the whole pony population

# data[].attributes.headline
Issue 4: Confusing graph and chart labels

# data[].attributes.subject
Issue 4: Confusing graph and chart labels