Marine Morales

Popularizing Data. Empowering Analysts. Elevating Insights.

Menu
  • Home
  • Data Analytics
  • Data Storytelling
  • Fostering Success
  • Creative Corner
  • About
Menu

Mastering the Language of Data: Essential Vocabulary for Describing Trends and More

Posted on April 25, 2023April 21, 2025 by Marine Morales

In today’s data-driven world, the ability to effectively communicate complex information is crucial. Whether you’re presenting a business report, analyzing market trends, or simply trying to make sense of the numbers, the right vocabulary can transform your message from confusing to clear. By the end of this article, you’ll be equipped with a richer vocabulary to articulate and interpret data with confidence and clarity. Whether you’re a student, professional, or just a curious learner, these skills are invaluable in navigating the increasingly data-centric world around us. Hence, in this blog article, we delve into the essential lexicon needed to articulate ideas around trends (1), quantities and thresholds (2), frequencies (3), probabilities (4), pacing (5), impact (6), and timing (7).

1. Trends

We’ll start by exploring how to describe trends, providing you with the terms needed to illustrate upward, downward, and stagnant patterns in data. Understanding and conveying these trends is key in many fields, from finance to marketing.

ObservationNegativePositive
Trenddecrease, drop, fall, shrink, decline,
diminish, dwindle, get smaller, go down, downsize, reduce, lessen, cut, trim, downward trend
increase, grow, rise, raise, get bigger, go up, step up, expansion, extension, upward trend, development, amplification, strengthening, boost
Intense Trendcollapse, slump, plummet, sunkrocket, surge, hike, soar up, shoot up
Changeworsening, deterioration, degradation, weakening, collapsing, cutbacks, windening gap, a change in direction, changeable, inconstantrecovery, improvement, uplift, bump, pivot, turnaround, closing gap, phasing out gap,
things are looking up
Intensitylow, flat, limited, negligeablehigh, elevated, strong, notable
Velocityslow down, slacken off, drop offquick, overnight, speed up, accelerate
Balanceloss, spend, deficit, waste, shortageprofit, gain, benefit, saving, surplus, acquisition, advancement
Comparisonlagging behind, trailing, struggling to keep up, dragging, falling behindahead of, before, leading, surpassing, outpacing, excelling, overtaking
ActionNegativePositive
Directto decrease, to downsize, to reduce, to cut, to maintain, to shorten, to curb, to phase outto increase, to grow, to expand, to enlarge, to extend, to winden, to broaden, to develop, to amplify, to boost
Continuous Targetto limit, to regulate, to restric, to constraint, to confineto improve, to optimize, to enhance, to strengthen, to aliviate (less severe)
Binary Targetto stop, to put an end to, to cancel, to abandonto continue, to carry on, to pursue, to persist, to resume, to stick with, to persevere, to push forward, to progress

Neutral: no change, maintain same level, steady, remain constant, stable, similar, persist, continue, persevere.

Which preposition to use with percentages?

  • verb by %: The sales increased by 15% last year.
    • up/down by x% to $X: The sales went up by 15% last year to $26M.
    • up/down by x points from x% to x%: This year the sales growth slowed down by 2 points from 15% to 13%.
  • name of % in smth: A rise of 15% in sales happened last year.
  • % name in smth: A 15% raise in sales can be observed last year.

2. Quantities and Thresholds

Next, we tackle the challenge of discussing quantities and thresholds. We’ll see how to express large and small numbers effectively, and how to discuss critical points or limits in our data.

ObservationNegativeNeutralPositive
Thresholdbelow, under,
not enough,
too little(s)/few(p),
falling short of
enough,
on the threshold,
at least / at most
over, above,
surpassing/exceeeding,
a bit too much(s),
one too many(p)
Quantity
extremes
none,
next to nothing,
so little (s&p),
not much(s)/many(p)
half,
balanced, stable,
evenly distributed,
all, the whole,
so much(s)/many(p),
a lot of (s) / lots of (p),
plenty of
Quantity
comparison
<
less(s)/fewer(p) than
=
precicely,
as much(s)/many(p) as
>
more than
Quantity
comparison +
<<
by far less,
much(s)/many(p) less,
nothing like as X as,
≈
around, about,
round 75%, 75% or so,
approximately,
more or less,
roughly speaking
>>
by far more,
much(s)/many(p) more,
surpass, overcome
(s) stands for singular like ‘budget’ and (p) for plural like ‘campaigns’

3. Frequencies

When it comes to frequencies, we’ll give you the tools to talk about how often events occur, ranging from rare to common occurrences. This is particularly useful when performing a web traffic analysis.

FrenquencyAdverbs
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚫∞each and every time
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚫always
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚪nearly (almost) always
⚫⚫⚫⚫⚫⚫⚫⚫⚪⚪most of the time, repeatedly, over and over again
⚫⚫⚫⚫⚫⚫⚫⚪⚪⚪very often, frequently, usually, normally
⚫⚫⚫⚫⚫⚫⚪⚪⚪⚪often
⚫⚫⚫⚫⚫⚪⚪⚪⚪⚪sometimes
⚫⚫⚫⚫⚪⚪⚪⚪⚪⚪occasionally, from time to time, every now and then
⚫⚫⚫⚪⚪⚪⚪⚪⚪⚪once in a while
⚫⚫⚪⚪⚪⚪⚪⚪⚪⚪rarely, seldom
⚫⚪⚪⚪⚪⚪⚪⚪⚪⚪once, hardly ever
⚪⚪⚪⚪⚪⚪⚪⚪⚪⚪never
⚪⚪⚪⚪⚪⚪⚪⚪⚪⚪∞never ever

4. Probabilities

Probabilities can be tricky to communicate, but they are essential in risk assessment and forecasting. This section will provide clear ways to discuss likelihood and chance.

ProbabilityAdverbs
95% – 100%without fail, for sure, by all means, almost sure (99%),
unquestionably, incontestably, indisputably, indubitably, inevitably
90% – 100%surely, without doubt, no doubt, undoubtedly, definitely, almost certainly
80% – 90%quite sure, in all likelihood, highly likely,
60% – 80%most probably, most likely, probably, apparently, fairly likely, quite possible
50% – 60%arguably, seems possible, seemingly, marginally likely, slightly likely
40% – 60%equivocally, perhaps, maybe, possibly, potentially
20% – 40%unlikely, doubtfully, somewhat unlikely, rather unlikely
10% – 20%far from that, improbable, scarcely probable
0% – 10%certainly not, not in the least, not at all, by no means, highly improbable
0% – 5%not a chance, virtually impossible, practically impossible

5. Pacing

The pacing of events or processes is another crucial aspect we cover. You’ll learn how to describe the speed or rate of change, which is particularly relevant in fast-paced industries.

PaceAdverbs + [increased or decreased]
+++++dramatically, dangerously, fiercely, seriously
++++quickly, sharply, suddenly, swiftly
+++steadily, fixedly, unwaveringly
++little by little, gradually, increasingly
+ slowly, gently, carefully, casually

6. Impact

Discussing impact requires a specific set of terms, especially when evaluating the significance or consequences of findings. We’ll guide you through this.

ImpactLevelAdverbs
100%absolute, fullcompletely, totally, entirely
75% 99%strong, notablesignificantly, substancially, markedly, considerably
50% – 75%important, relevantespecially, particularly, chiefly, mainly, essentially
25% – 50%moderatevery, really, rather, pretty, quite, fairly
10% – 25%small, minorslightly, somewhat
0% – 10%negligeablehardly, barely, scarcely

7. Timing

Finally, we touch upon timing. In a world where timing can be everything, knowing how to articulate moments and durations is vital.

Point in time
Past Precise point in timeback in [1974]
Pastformerly, in the past, in earlier times
Recent Pastrecently, not long ago, lately, just now, freshly
From Past to Presentup to now, over these last months
Before Actionprior to, previous to, earlier than, ahead of
Before Presentbeforehand, in advance, before (+ing)
Presentnow, at the moment, at present, presently, currently, nowadays
Present Precise point in timeon time, now, right now, this minute
After Presentafterwards, after (+ing)
After Actionthen, thereafter, after a while
From Present to Futuretherefrom, from now on, henceforward
Future Tensesoon, in a moment, shortly, in an instant,
Futurein the future, in the coming times
Future Precise point in timeby 2050

Explore more

To learn more about corporate communication, check out this post: Navigating the Final Frontier of Workplace Communication

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • Why Should we Ticket our Analytics Jobs?

    Why Should we Ticket our Analytics Jobs?

    April 25, 2025
  • Three Frameworks That Make Your Analysis Aim, Hit, and Trigger Action

    Three Frameworks That Make Your Analysis Aim, Hit, and Trigger Action

    March 16, 2025
  • My Essential Project Planning Shopping Cart

    My Essential Project Planning Shopping Cart

    February 22, 2025
  • Crack your Case Like an FBI Analyst: Secure the Win and Lock it Down

    Crack your Case Like an FBI Analyst: Secure the Win and Lock it Down

    January 13, 2025
  • Mary Anning, the 19th-Century Paleontologist Who Teaches us about Modern Analytics

    Mary Anning, the 19th-Century Paleontologist Who Teaches us about Modern Analytics

    December 21, 2024
FOLLOW ME
  • GitHub
  • LinkedIn
  • Twitter

ABOUT ME

Welcome to my little corner of the internet where we explore the wonderful world of Data Science and uncover hidden insights together. My name is Marine and I am a Data and Business Intelligence Analyst specialized in optimizing Marketing and Sales performances.

  • GitHub
  • LinkedIn
  • Twitter

Recent Posts

  • Why Should we Ticket our Analytics Jobs?

    Why Should we Ticket our Analytics Jobs?

    April 25, 2025
  • Three Frameworks That Make Your Analysis Aim, Hit, and Trigger Action

    Three Frameworks That Make Your Analysis Aim, Hit, and Trigger Action

    March 16, 2025
  • My Essential Project Planning Shopping Cart

    My Essential Project Planning Shopping Cart

    February 22, 2025

Topics

  • Creative Corner (1)
  • Data Analytics (14)
  • Data Storytelling (6)
  • Fostering Success (16)
©2023 Marine Morales