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Data taken out of context is boring, if not misleading, and nearly always worthless. Nonetheless, most data is presented as a single, isolated value: a big company's turnover, the current unemployment rate or the last reading of a stock quote. The necessary context however can be provided easily, with the help of word-sized graphics, so-called "spark-lines", a term coined by their inventor Edward Tufte.
Thus, an elusive figure like the
Euros' exchange
rate movements against the US-Dollar becomes a vivid,
data-intense measure when given in its historical context from
its introduction on January, 1st 1999 as bank money until today
1.30.
For the equivalent of a single word, the embedded graphic gives us the worth of six years of monthly Euro exchange rate readings. Defying its tiny size, the graphic depicts the year long development in a clear and concise manner, including the 25 % loss after the introduction of the Euro banknotes and coins on January, 1st 2002.
The same principle is used when reasoning about win/loss
sports statistics. Due to their word-like quality, spark-lines
allow for writing with data. The overall performance of the
German premier league soccer team FC Bayern
which puts it in first place in 2004/2005 is one out of many
examples. The dry Munich weather in the last 36 days
with only few mm of rain is another.
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The data-intense and design-simple concept of word graphics presents an aggregate pattern along with plenty of local detail. Operationally sufficient quantification is provided by the numerical value for the most recent reading.
Embedded in Management Information Systems, spark-lines efficiently add context and reduce the regency bias prevalent in data analysis and decision-making. Sparklines enrich data displays on mobile devices and are a prerequisite for effective mobile controlling concepts.
Arranged in table format, spark-lines compress astonishing amounts of data in small spaces. Without turning pages the eye can concentrate on comparisons and detecting patterns, gaining insight in doing so. In the weather table below, the eye easily overlooks a matrix of 216 data points.
| Tmax | �C |
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18.7 |
| Tmin | �C |
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8.3 |
| Rain | mm |
|
0 |
| Pmax | hPa |
 |
966.1 |
| Pmin | hPa |
 |
963.3 |
| Vmax | m/s |
 |
8.7 |
The following table shows the final standings of the 2004/2005 season of the German premier soccer league (Bundesliga). An upward whisker depicts a won match, a downward whisker a lost one. The table remains concise and meaningful, even at a small font size. Since the spark-lines use up so little space, the entire season's course can be shown for each of the teams, making for 612 results in one chart.
Season 2004/2005, match day 34
|
P |
Team |
GP |
W |
D |
L |
Goals |
GD |
TP |
Course |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Bayern M�nchen | 34 | 24 | 5 | 5 | 75:33 | 42 | 77 |
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| 2 | FC Schalke 04 | 34 | 20 | 3 | 11 | 56:46 | 10 | 63 |
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| 3 | Werder Bremen | 34 | 18 | 5 | 11 | 68:37 | 31 | 59 |
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| 4 | Hertha BSC Berlin | 34 | 15 | 13 | 6 | 59:31 | 28 | 58 |
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| 5 | VfB Stuttgart | 34 | 17 | 7 | 10 | 54:40 | 14 | 58 |
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| 6 | Bayer Leverkusen | 34 | 16 | 9 | 9 | 65:44 | 21 | 57 |
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| 7 | Borussia Dortmund | 34 | 15 | 10 | 9 | 47:44 | 3 | 55 |
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| 8 | Hamburger SV | 34 | 16 | 3 | 15 | 55:50 | 5 | 51 |
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| 9 | VfL Wolfsburg | 34 | 15 | 3 | 16 | 49:51 | -2 | 48 |
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| 10 | Hannover 96 | 34 | 13 | 6 | 15 | 34:36 | -2 | 45 |
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| 11 | 1. FSV Mainz 05 | 34 | 12 | 7 | 15 | 50:55 | -5 | 43 |
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| 12 | 1. FC Kaiserslautern | 34 | 12 | 6 | 16 | 43:52 | -9 | 42 |
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| 13 | Arminia Bielefeld | 34 | 11 | 7 | 16 | 37:49 | -12 | 40 |
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| 14 | 1. FC N�rnberg | 34 | 10 | 8 | 16 | 55:63 | -8 | 38 |
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| 15 | Bor. M'gladbach | 34 | 8 | 12 | 14 | 35:51 | -16 | 36 |
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| 16 | VfL Bochum | 34 | 9 | 8 | 17 | 47:68 | -21 | 35 |
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| 17 | Hansa Rostock | 34 | 7 | 9 | 18 | 31:65 | -34 | 30 |
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| 18 | SC Freiburg | 34 | 3 | 9 | 22 | 30:75 | -45 | 18 |
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P = Place, GP = Games Played, W = Win, D = Draw, L = Loss, GD = Goal Difference, TP = Total Points. The lines mean: Champions League, Champions League qualification, UEFA cup; relegation.
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