Graphs

Here is a good list of vocabulary for talking about charts. It can be difficult for non-native speakers to keep up in a fast-paced business world. There are many different ways to talk about graphs and as I’m sure lots of people out there know, graphs can be really boring. In order to be successful, you need to be able to use graphs to get interest. Without the specific information to back up your company and cause, all you have are words. Graphs will help you express yourself and your goals clearly. 

When drawing up graphs, make sure that the following are in order:

1) Easy to read with a proper legend/key.

2) Accurate! Make sure the information is right!

3) Select the right kind of graph.

Going Up! 

skyrocketed (to go up dramatically/quickly/by a lot)
surged (to go up dramatically/quickly/by a lot)
increase rapidly (to go up dramatically/quickly/by a lot)
rise dramatically (to go up by a lot)

increase slightly (to go up by a little)

No Changes Here. 

were unchanged (no change)
stay the same (no change)
remained constant (no change)
remained stable (secure/safe)
stabilized (became safe again)
remain steady (like: stable)

fluctuate (to change in a strange way)

Going Down... 

decrease slightly (a little bit)
decrease dramatically (a lot)
fell; sank (to go down, generally quickly)
plunge; drop suddenly (to go down, generally quickly)
plummeted (to go down, generally quickly)


Specifically Tops and Bottoms
reached a peak
peaked
reached their highest level
fell to a low
sank
reached a bottom


Clear it up with Adverbs and Intensifiers

slightly
a little
gently
gradually
steadily
steeply
sharply
suddenly

"rose by" versus "rose to"
The value of the company rose by 50% (Generally used with percentages).
The value of the stock rose to $20 per share overnight (Generally used with numbers).

Prepositions
Between 1995 and 2000
From 1995 to 2000
Sales rose from 200 to 250
Sales fell to 150 in March
Sales fell by 50%


Correlations
positive correlation -both sets of data increase together.
negative correlation -one set of data decreases as the other set of data increases.
no correlation - the two data sets are not related.
weak correlation - when the data is not clustered along an obvious line.
strong correlation - when the data is clustered along an obvious line (can be positive or negative).