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New: Chartory 1.0. 100 charts free in React, MIT licensed

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Charts / Glossary

Encoding

A chart word, with the charts that use it.

Definition

An encoding is the visual property that carries a value: length, position, angle, area or colour. Length and position read most exactly; angle, area and colour read roughly.

Updated Nov 2, 2026

Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
Return vs volatility · 30 d
TokenGroupVolatilityReturnBubble size
BTCLayer 138%+6%28
ETHLayer 152%+9%14
SOLLayer 174%+14%4.2
AVAXLayer 188%−6%0.7
LINKDeFi70%+3%0.6
UNIDeFi82%−2%0.5
AAVEDeFi78%+18%0.45
MKRDeFi66%−9%0.3
DOGEMeme96%+22%1.8
PEPEMeme118%+34%0.9
SHIBMeme104%−12%0.6
BONKMeme114%−15%0.4
Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
Return vs volatility · 30 d
TokenGroupVolatilityReturnBubble size
BTCLayer 138%+6%28
ETHLayer 152%+9%14
SOLLayer 174%+14%4.2
AVAXLayer 188%−6%0.7
LINKDeFi70%+3%0.6
UNIDeFi82%−2%0.5
AAVEDeFi78%+18%0.45
MKRDeFi66%−9%0.3
DOGEMeme96%+22%1.8
PEPEMeme118%+34%0.9
SHIBMeme104%−12%0.6
BONKMeme114%−15%0.4
  1. 01PositionAcross and up carry two values per dot.
  2. 02ColourA group, named in the legend.

Where you see it

  • Monthly card spendCard spend by month, January to September, in $K. September (month to date) is 40K; the highest month is July at 71K.48KJAN52KFEB61KMAR57KAPR66KMAY59KJUN71KJUL68KAUG40KSEPMONTH TO DATECLOSED MONTHS
    Monthly card spend
    MonthSpend
    JAN$48K
    FEB$52K
    MAR$61K
    APR$57K
    MAY$66K
    JUN$59K
    JUL$71K
    AUG$68K
    SEP$40K
    Monthly card spendCard spend by month, January to September, in $K. September (month to date) is 40K; the highest month is July at 71K.48KJAN52K61KMAR57K66KMAY59K71KJUL68K40KSEPMONTH TO DATECLOSED MONTHS
    Monthly card spend
    MonthSpend
    JAN$48K
    FEB$52K
    MAR$61K
    APR$57K
    MAY$66K
    JUN$59K
    JUL$71K
    AUG$68K
    SEP$40K

    001 · BarsCompare items · Fintech data

  • Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
    Return vs volatility · 30 d
    TokenGroupVolatilityReturnBubble size
    BTCLayer 138%+6%28
    ETHLayer 152%+9%14
    SOLLayer 174%+14%4.2
    AVAXLayer 188%−6%0.7
    LINKDeFi70%+3%0.6
    UNIDeFi82%−2%0.5
    AAVEDeFi78%+18%0.45
    MKRDeFi66%−9%0.3
    DOGEMeme96%+22%1.8
    PEPEMeme118%+34%0.9
    SHIBMeme104%−12%0.6
    BONKMeme114%−15%0.4
    Return vs volatility · 30 d30-day return against volatility for 12 tokens in 3 groups; PEPE has the highest return at +34% with 118% volatility.+40%+20%0−20%30% VOL60%90%120%BTCETHLAYER 1DEFIMEME
    Return vs volatility · 30 d
    TokenGroupVolatilityReturnBubble size
    BTCLayer 138%+6%28
    ETHLayer 152%+9%14
    SOLLayer 174%+14%4.2
    AVAXLayer 188%−6%0.7
    LINKDeFi70%+3%0.6
    UNIDeFi82%−2%0.5
    AAVEDeFi78%+18%0.45
    MKRDeFi66%−9%0.3
    DOGEMeme96%+22%1.8
    PEPEMeme118%+34%0.9
    SHIBMeme104%−12%0.6
    BONKMeme114%−15%0.4

    034 · ScatterRelationship · Crypto data

  • MRR by planMonthly recurring revenue of $184K by plan: Enterprise $82K (45%), Business $54K (29%), Team $31K (17%), Starter $17K (9%).Enterprise$82KBusiness$54KTeam$31KStarter$17K
    MRR by plan
    PlanMRRShare
    Enterprise$82K45%
    Business$54K29%
    Team$31K17%
    Starter$17K9%
    MRR by planMonthly recurring revenue of $184K by plan: Enterprise $82K (45%), Business $54K (29%), Team $31K (17%), Starter $17K (9%).Enterprise$82KBusiness$54KTeam$31KStarter$17K
    MRR by plan
    PlanMRRShare
    Enterprise$82K45%
    Business$54K29%
    Team$31K17%
    Starter$17K9%

    017 · DonutPart of a whole · SaaS data

Common mistakes

Colour for exact values

Shades are hard to compare. Use length or position for the number that matters.

Two encodings for one value

Size and colour for the same number add noise, not meaning.

Questions

Which encoding is most exact?

Position on a shared axis, then length.

Why do donut charts use angle?

Angle shows parts of one whole at a glance; for exact comparisons, bars are better.

In the kit

Bars, scatter, donut and the other types.

In Figma and React, in four sizes, light and dark. Pay once, every update.

See plans

Every chart word, A to Z.

Open the glossary