search

izaskr / chart_descriptions

0 stars 1 forks source link

[in progress] Property or object? #50

Closed izaskr closed 4 years ago

izaskr commented 4 years ago

Label all relevant words with ## more object- or property-like? to keep track of them.

Example: The stock prices of Akef Inc. ## more object- or property-like? have declined

izaskr commented 4 years ago

Example:

The lowest time spent on average ## more object- or property-like? on social media ## more object- or property-like? on a daily basis ## more object- or property-like? were 25-34 year old at 76 minutes

izaskr commented 4 years ago

Example:

The highest number of fatal injuries at the pula steel factory ## more object- or property-like? took place in the year 2013 at 32

izaskr commented 4 years ago

Example, where the token is probably yaxis, not topic*:

12 % of young people ## more object- or property-like? or y axis? spend their time ## more object- or property-like? watching tv in the evenings ## , 32 % spend their evenings ## more object- or property-like? with family

izaskr commented 4 years ago

Example, where a topic-specific token is the predicate (has value).

The most common cause is genetic , identified as causing ## more object- or property-like? 40 %

izaskr commented 4 years ago

Example:

It says 24 % is because ## more object- or property-like? or just leave it unlabeled? of fast food

izaskr commented 4 years ago

Example:

Approximately 36 % of obesity ## more object- or property-like? was caused ## more object- or property-like? by lack of exercise and approximately 24 % was caused ## more object- or property-like? by eating fast food

izaskr commented 4 years ago

Example, where I think the use of yaxis is more suitable than topic*:

The lowest representation is in the Literature Department at 22 %

izaskr commented 4 years ago

Example: "women" == "women representation"?

1) the Arts department containing only 32 % of women ## more object- or property-like? or y axis?

2) mathematics with 56 % of women represented ## more object- or property-like? or y axis?

izaskr commented 4 years ago

PhD holders == Software engineers with a PhD degree

Example 1: PhD holders ## more object- or property-like? earn the highest median ## more object- or property-like? salary

Example 2: 63 k is median ## more object- or property-like? salary for software engineers ## more object- or property-like? who have a PhD

izaskr commented 4 years ago

Another example where a phrase could be considered the y axis:

The y axis name on the plot is "Percentage", but in a broader sense, it means "percentage of students". Given that "%" is considered and labeled as the unit, I suggest labeling "students" as y axis, such as here

The vast majority of students ## more object- or property-like? or y axis? choose to study ## more object- or property-like? STEM

izaskr commented 4 years ago

How to label vocabulary that does appear in the title ("top universities") and the one that doesn't ("world's")? The title of the plot is "Number of top 100 universities in each continent".

50 % of the world ## more object- or property-like? ' s top universities ## more object- or property-like? are in America <x_axis_label_highest_value

izaskr commented 4 years ago

Vocabulary that is topic-related, but not included in the plot title. Title: Gender Pay Gap, 2017

The graph details the gender pay gap in three European ## more object- or property-like? countries , Germany, Spain and the UK

izaskr commented 4 years ago

All of these cases will be labeled with a new label, <t=[0|1]_a=[x|y|b]>.

Some examples Chart: Women representation in different sectors

Chart: Median salary of software engineers per year wrt. their degree

Chart: Gender pay gap

Chart: Average time spent on social media daily in Maputo by age group Sentence: In Maputo, persons of 45-54 spend around 150 minutes daily on social media.