The simple genius of a good graphic | Tommy McCall

166,113 views ・ 2018-10-15

TED


μ•„λž˜ μ˜λ¬Έμžλ§‰μ„ λ”λΈ”ν΄λ¦­ν•˜μ‹œλ©΄ μ˜μƒμ΄ μž¬μƒλ©λ‹ˆλ‹€.

λ²ˆμ—­: Yoonyoung Chang κ²€ν† : Won Jang
00:12
I love infographics.
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μ „ μΈν¬κ·Έλž˜ν”½μ„ μ‚¬λž‘ν•©λ‹ˆλ‹€.
00:14
As an information designer,
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정보 λ””μžμ΄λ„ˆλ‘œμ„œ
00:16
I've worked with all sorts of data over the past 25 years.
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μ§€λ‚œ 25λ…„κ°„ λͺ¨λ“  μ’…λ₯˜μ˜ 데이터λ₯Ό λ‹€λ£¨μ—ˆμŠ΅λ‹ˆλ‹€.
00:19
I have a few insights to share, but first: a little history.
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μ—¬λŸ¬λΆ„μ—κ²Œ 해쀄 이야기가 λ§Žμ§€λ§Œ μš°μ„  역사에 λŒ€ν•΄ 말해보죠.
00:24
Communication is the encoding, transmission and decoding of information.
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μ˜μ‚¬μ†Œν†΅μ€ 정보λ₯Ό μ•”ν˜Έν™”, 전솑, ν•΄λ…ν•˜λŠ” κ²ƒμž…λ‹ˆλ‹€.
00:30
Breakthroughs in communication mark turning points in human culture.
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μ˜μ‚¬μ†Œν†΅κΈ°μˆ μ˜ λ°œμ „μ€ 인λ₯˜λ¬Έν™”에 큰 μ „ν™˜μ μ΄ λ©λ‹ˆλ‹€.
00:35
Oracy, literacy and numeracy were great developments in communication.
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ꡬ어λŠ₯λ ₯, λ¬Έν•΄λŠ₯λ ₯, μ‚°μˆ λŠ₯λ ₯은 μ˜μ‚¬μ†Œν†΅μ— 큰 λ°œμ „μ„ λ§Œλ“€μ—ˆμ£ .
00:40
They allow us to encode ideas into words
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이것듀은 아이디어λ₯Ό λ‹¨μ–΄λ‘œ μ•”ν˜Έν™”ν•˜κ²Œ ν•˜κ³ 
00:42
and quantities into numbers.
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μˆ˜λŸ‰μ„ 숫자둜 ν‘œν˜„ν•˜κ²Œ ν•΄μ£Όμ§€μš”.
00:45
Without communication, we'd still be stuck in the Stone Ages.
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μ˜μ‚¬μ†Œν†΅μ΄ μ—†λ‹€λ©΄ μš°λ¦¬λŠ” μ—¬μ „νžˆ μ„κΈ°μ‹œλŒ€μ— λ¨Έλ¬Όλ €κ² μ£ .
00:49
Although humans have been around for a quarter million years,
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비둝 인λ₯˜μ˜ λŒ€λž΅ 25만 λ…„ μ •λ„λ‚˜ μ‘΄μž¬ν•΄ μ™”μ§€λ§Œ
졜초의 κΈ€μ“°κΈ° ν˜•νƒœκ°€ λ‚˜νƒ€λ‚œ 것은 8천 λ…„ μ „μž…λ‹ˆλ‹€.
00:52
it was only 8,000 years ago that proto-writings began to surface.
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00:56
Nearly 3,000 years later, the first proper writing systems took shape.
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3천 λ…„ 더 μ§€λ‚˜μ•Ό 처음으둜 μ œλŒ€λ‘œ 된 μ“°κΈ° 체계 ν˜•νƒœλ₯Ό κ°–μΆ”μ—ˆμ£ .
01:03
Maps have been around for millennia and diagrams for hundreds of years,
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μ§€λ„λŠ” 수 천 λ…„ λ™μ•ˆ μ‚¬μš©λ˜μ–΄μ™”κ³  λ‹€μ΄μ–΄κ·Έλž¨μ€ 수백 λ…„ 전에 λ‚˜μ™”μ§€λ§Œ
01:08
but representing quantities through graphics
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μˆ˜λŸ‰μ„ λ„ν‘œλ‘œ λ‚˜νƒ€λ‚΄λŠ” 것은
01:11
is a relatively new development.
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비ꡐ적 μƒˆλ‘œμš΄ 졜근의 μ—…μ μž…λ‹ˆλ‹€.
01:13
It wasn't until 1786 that William Playfair invented the first bar chart,
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μœŒλ¦¬μ—„ ν”Œλ ˆμ΄νŽ˜μ–΄κ°€ 1786년에 발λͺ…ν•œ λ§‰λŒ€ λ„ν‘œλŠ”
01:18
giving birth to visual display of quantitative information.
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μˆ˜λŸ‰μ  정보λ₯Ό μ‹œκ°μ μœΌλ‘œ 보여쀀 졜초의 κ²ƒμž…λ‹ˆλ‹€.
01:22
Fifteen years later, he introduced the first pie and area charts.
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15λ…„ 후에 κ·ΈλŠ” 처음으둜 파이 λ„ν‘œμ™€ 면적 λ„ν‘œλ₯Ό μ†Œκ°œν–ˆμ§€μš”.
01:27
His inventions are still the most commonly used chart forms today.
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그의 발λͺ…은 μ˜€λŠ˜κΉŒμ§€λ„ κ°€μž₯ ν”ν•˜κ²Œ μ‚¬μš©λ˜λŠ” λ„ν‘œμž…λ‹ˆλ‹€.
01:32
Florence Nightingale invented the coxcomb in 1857
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ν”Œλ‘œλ ŒμŠ€ λ‚˜μ΄νŒ…κ²ŒμΌμ€ 1867년에 μž₯λ―Έ λ„ν‘œ 발λͺ…ν–ˆλŠ”λ°
01:36
for a presentation to Queen Victoria on troop mortality.
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빅토리아 μ—¬μ™•μ—κ²Œ κ΅°μ‚¬λ“€μ˜ 사망원인을 보여주기 μœ„ν•΄μ„œμ˜€μŠ΅λ‹ˆλ‹€.
01:40
Highlighted in blue,
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νŒŒλž€μƒ‰μ˜ κ°•μ‘°λœ 뢀뢄을 ν†΅ν•΄μ„œ
01:41
she showed how most troops' deaths could have been prevented.
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λ§Žμ€ κ΅°μΈλ“€μ˜ 사망이 μ–΄λ–»κ²Œ 예방 될 수 μžˆμ—ˆλŠ”μ§€ λ³΄μ—¬μ£Όμ—ˆμ§€μš”.
01:47
Shortly after, Charles Minard charted Napoleon's march on Moscow,
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μ–Όλ§ˆ λ’€ 찰슀 λ―Έλ‚˜λ“œλŠ” λ‚˜ν΄λ ˆμ˜Ήμ˜ λͺ¨μŠ€ν¬λ°” 행진을 λ„ν‘œλ‘œ μž‘μ„±ν•˜μ˜€λŠ”λ°
01:52
illustrating how an army of 422,000 dwindled to just 10,000
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422,000λͺ…μ˜ κ΅°λŒ€κ°€ μ–΄λ–»κ²Œ 10,000λͺ…μœΌλ‘œ μ€„μ—ˆλŠ”μ§€ λ³΄μ—¬μ€λ‹ˆλ‹€.
01:57
as battles, geography and freezing temperatures took their toll.
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μ „νˆ¬, 지리적 영ν–₯, μ˜ν•˜μ˜ μ˜¨λ„κ°€ 이 μˆ˜μΉ˜μ— 영ν–₯을 μ€Œμ„ λ³΄μ—¬μ£Όμ—ˆμ§€μš”.
02:01
He combined a Sankey diagram with cartography
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κ·ΈλŠ” 생킀 λ‹€μ΄μ–΄κ·Έλž¨μ— μ§€ν˜•κ³Ό μ˜¨λ„ μ°¨νŠΈμ™€ ν†΅ν•©μ‹œμΌ°μŠ΅λ‹ˆλ‹€.
02:05
and a line chart for temperature.
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02:09
I get excited when I get lots of data to play with,
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μ €λŠ” ν•¨κ»˜ μž‘μ—…ν•  데이터가 λ§Žμ„ λ•Œ 기뢄이 쒋은데
02:11
especially when it yields an interesting chart form.
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특히 이λ₯Ό ν†΅ν•΄μ„œ ν₯미둜운 λ„ν‘œλ₯Ό λ§Œλ“€μ–΄ λ‚Ό λ•Œκ°€ κ·Έλ ‡μ£ .
02:17
Here, Nightingale's coxcomb was the inspiration
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이 λ‚˜μ΄νŒ…κ²ŒμΌ μž₯λ―Έ λ„ν‘œλŠ”
미ꡭ의 μ—λ„ˆμ§€ λ³΄μ‘°κΈˆμ§€μ›μ— λŒ€ν•œ μžλ£Œλ“€μ„ 정리 ν•œ 것 μž…λ‹ˆλ‹€.
02:21
to organize data on thousands of federal energy subsidies,
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02:24
scrutinizing the lack of investment in renewables over fossil fuels.
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ν™”μ„μ—°λ£Œλ₯Ό λŒ€μ²΄ ν•  μž¬μƒ μ—λ„ˆμ§€μ— λŒ€ν•œ 투자 뢀쑱을 λ©΄λ°€νžˆ 보여주고 μžˆμ§€μš”.
02:30
This Sankey diagram illustrates the flow of energy through the US economy,
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이 생킀 λ‹€μ΄μ–΄κ·Έλž¨μ€ λ―Έκ΅­ κ²½μ œμ—μ„œμ˜ μ—λ„ˆμ§€ 흐름을 λ³΄μ—¬μ€λ‹ˆλ‹€.
02:34
emphasizing how nearly half of the energy used is lost as waste heat.
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거의 μ—λ„ˆμ§€ λ°˜μ„ μ—΄μ†μ‹€λ‘œ μžƒλŠ” κ±Έ κ°•μ‘°ν•΄μ£Όκ³  μžˆμ§€μš”.
02:42
I love it when data can be sculpted into beautiful shapes.
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μ „ 데이터가 μ•„λ¦„λ‹€μš΄ λͺ¨μ–‘μœΌλ‘œ λ§Œλ“€μ–΄μ§€λŠ” 것을 μ‚¬λž‘ν•©λ‹ˆλ‹€.
02:45
Here, the personal and professional connections of the women of Silicon Valley
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μ‹€λ¦¬μ½˜ 밸리의 μ—¬μ„±λ“€ 개인적인 관계와 직업적인 κ΄€κ³„λŠ”
02:50
can be woven into arcs,
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ν™œ λͺ¨μ–‘μœΌλ‘œ 그렀질 수 μžˆμŠ΅λ‹ˆλ‹€.
02:54
same as the collaboration of inventors birthing patents across the globe
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λ§ˆμ°¬κ°€μ§€λ‘œ μ „ μ„Έκ³„μ μœΌλ‘œ νŠΉν—ˆλ₯Ό λ‚΄λŠ” 발λͺ…κ°€μ˜ ν˜‘μ—…μ€ μ§€λ„λ‘œ 그릴 수 μžˆμ§€μš”.
02:58
can be mapped.
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03:01
I've even made charts for me.
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μ €λŠ” 제 μžμ‹ μ„ μœ„ν•œ λ„ν‘œλ₯Ό λ§Œλ“€κΈ°λ„ ν–ˆμ£ .
03:03
I'm a numbers person, so I rarely win at Scrabble.
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μ „ μˆ«μžν˜• μΈκ°„μ΄μ–΄μ„œ μŠ€ν¬λž˜λΈ”μ—μ„œ 거의 이기지 λͺ»ν•©λ‹ˆλ‹€.
03:06
I made this diagram to remember all the two- and three-letter words
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μ €λŠ” λͺ¨λ“  두 κΈ€μžμ™€ μ„Έ κΈ€μž 단어λ₯Ό κΈ°μ–΅ν•˜κΈ° μœ„ν•΄ 이 λ„ν‘œλ₯Ό λ§Œλ“€μ—ˆμ£ .
03:09
in the official Scrabble dictionary.
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곡식 μŠ€ν¬λž˜λΈ” 사전에 μžˆλŠ” κ²ƒλ“€λ‘œμš”.
03:11
(Laughter)
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(μ›ƒμŒ)
이 1,168 단어λ₯Ό μ•Œλ©΄ λΆ„λͺ…νžˆ κ²Œμž„μ˜ νŒλ„λ₯Ό λ°”κΏ€ 수 있죠.
03:12
Knowing these 1,168 words certainly is a game changer.
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03:15
(Laughter)
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(μ›ƒμŒ)
03:16
Sometimes I produce code to quickly generate graphics
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λ•Œλ•Œλ‘œ μ €λŠ” λΉ λ₯΄κ²Œ λ„ν‘œλ₯Ό λ§Œλ“€κΈ° μœ„ν•΄ 코딩을 ν•˜κΈ°λ„ ν•©λ‹ˆλ‹€.
03:20
from thousands of data points.
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수천 가지 데이터 포인트λ₯Ό κ°€μ§€λŠ” κ·Έλž˜ν”½μ—μ„œμš”.
03:23
Coding also enables me to produce interactive graphics.
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코딩을 μ΄μš©ν•˜λ©΄ μ–‘λ°©ν–₯ κ·Έλž˜ν”½λ„ λ§Œλ“€ 수 μžˆμŠ΅λ‹ˆλ‹€.
03:26
Now we can navigate information on our own terms.
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이제 μš°λ¦¬λŠ” μžμ‹ μ—κ²Œ 맞게 정보λ₯Ό 검색 ν•  수 μžˆμ§€μš”.
03:32
Exotic chart forms certainly look cool,
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ν™”λ €ν•œ λ„ν‘œλŠ” λΆ„λͺ…νžˆ λ©‹μ Έ λ³΄μ΄μ§€λ§Œ
03:34
but something as simple as a little dot may be all you need
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λ•Œλ‘œλŠ” κ°€λŠ₯ν•œ λ‹¨μˆœν•œ μž‘μ€ μ λ§Œμ„ μ΄μš©ν•΄μ„œλ„
03:37
to solve a particular thinking task.
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골치 μ•„ν”ˆ λ¬Έμ œλ“€μ„ ν•΄κ²° ν•  수 μžˆμŠ΅λ‹ˆλ‹€.
03:41
In 2006, the "New York Times" redesigned their "Markets" section,
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2006년에 λ‰΄μš• νƒ€μž„μŠ€λŠ” μ£Όμ‹μ‹œμž₯ 면을 μž¬μ„€κ³„ν•˜μ˜€μŠ΅λ‹ˆλ‹€.
03:45
cutting it down from eight pages of stock listings
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μ—¬λŸ νŽ˜μ΄μ§€μ§œλ¦¬λ‘œ 된 주식 λͺ©λ‘μ„
03:48
to just one and a half pages of essential market data.
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핡심 μ‹œμž₯ λ°μ΄ν„°λ‘œ 된 ν•œ νŽ˜μ΄μ§€ 반으둜 μ€„μ˜€μŠ΅λ‹ˆλ‹€.
03:52
We listed performance metrics for the most common stocks,
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μ²˜μŒμ—λŠ” κ°€μž₯ 일반적인 μ£Όμ‹λ“€μ˜ μ„±κ³Όν‘œλ₯Ό λ‚˜μ—΄ν–ˆμ—ˆλŠ”λ°
03:55
but I wanted to help investors see how the stocks are doing.
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μ €λŠ” νˆ¬μžμžλ“€μ΄ 주식 ν˜„ν™©μ„ 보도둝 도움을 μ£Όκ³  μ‹Άμ—ˆμŠ΅λ‹ˆλ‹€.
03:59
So I added a simple little dot
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κ·Έλž˜μ„œ μ €λŠ” λ‹¨μˆœν•œ μž‘μ€ 점을 μΆ”κ°€ν•˜μ—¬
04:01
to show the current price relative to its one-year range.
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1λ…„ λ²”μœ„ λ‚΄μ—μ„œ μƒλŒ€μ μΈ ν˜„μž¬κ°€λ₯Ό λ³΄μ—¬μ£Όμ—ˆμŠ΅λ‹ˆλ‹€.
04:06
At a glance, value investors can pick out stocks trading near their lows
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얼핏 보기에 κ°€μΉ˜ νˆ¬μžμžλ“€μ€ 저점에 μžˆλŠ” 주식을 μ„ νƒν•˜κΈ° μœ„ν•΄μ„œ
04:10
by looking for dots to the left.
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μ™Όμͺ½μ— 치우쳐 μžˆλŠ” 점듀 찾을 것이며
04:12
Momentum investors can find stocks on an upward trajectory
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λͺ¨λ©˜ν…€ νˆ¬μžμžλ“€μ€ 였λ₯΄λŠ” 좔세에 μžˆλŠ” 주식을 μ°ΎκΈ° μœ„ν•΄μ„œ
04:16
via dots to the right.
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였λ₯Έμͺ½μ— μžˆλŠ” 점을 λ³΄κ² μ§€μš”.
04:18
Shortly after, the "Wall Street Journal" copied the design.
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λ°”λ‘œ μ›”μŠ€νŠΈλ¦¬νŠΈ 저널이 이 λ””μžμΈμ„ 따라 ν–ˆμ£ .
04:21
Simplicity is often the goal for most graphics,
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λ‹¨μˆœν•¨μ΄ λŒ€λΆ€λΆ„ κ·Έλž˜ν”½μ˜ λͺ©ν‘œκ°€ λ˜λŠ” κ²½μš°κ°€ λ§Žμ§€λ§Œ
04:24
but sometimes we need to embrace complexity
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λ•Œλ‘œλŠ” λ³΅μž‘μ„±μ„ ν¬ν•¨μ‹œν‚€κ³ 
04:27
and show large data sets in their full glory.
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λŒ€λŸ‰μ˜ 데이터 μ„ΈνŠΈλ₯Ό μ™„μ „ν•œ λͺ¨μŠ΅μœΌλ‘œ 보여주어야 ν•©λ‹ˆλ‹€.
04:32
Alec Gallup, the former chairman of the Gallup Organization,
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κ°€λŸ½μ‚¬ μ „ 회μž₯인 μ•Œλ ‰ κ°€λŸ½μ€
04:36
once handed me a very thick book.
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전에 μ €μ—κ²Œ μ•„μ£Ό λ‘κΊΌμš΄ 책을 κ±΄λ„ΈμŠ΅λ‹ˆλ‹€.
04:38
It was his family's legacy:
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그것은 κ·Έ μ§‘μ•ˆμ˜ μœ μ‚°μ΄μ—ˆμŠ΅λ‹ˆλ‹€.
04:39
hundreds of pages covering six decades of presidential approval data.
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60λ…„ λ™μ•ˆ λŒ€ν†΅λ Ή μ§€μ§€μœ¨ 데이터λ₯Ό 닀룬 수백 νŽ˜μ΄μ§€μ˜ μ±…μ΄μ—ˆμ£ .
04:44
I told him the entire book could be graphed on a single page.
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μ €λŠ” κ·Έμ—κ²Œ μ±… 전체λ₯Ό ν•œ νŽ˜μ΄μ§€μ˜ κ·Έλž˜ν”„λ‘œ λ§Œλ“€ 수 μžˆλ‹€κ³  λ§ν–ˆμ£ .
04:47
"Impossible," he said.
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"λΆˆκ°€λŠ₯ν•©λ‹ˆλ‹€."라고 κ·Έκ°€ λ§ν–ˆμŠ΅λ‹ˆλ‹€.
04:50
And here it is:
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μ—¬κΈ° μ΄λ ‡κ²Œ
04:52
25,000 data points on a single page.
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25,000 데이터 ν¬μΈνŠΈκ°€ ν•œ νŽ˜μ΄μ§€μ— λ‚˜μ˜΅λ‹ˆλ‹€.
04:55
At a glance, one sees that most presidents start with a high approval rating,
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얼핏 보면 λŒ€λΆ€λΆ„μ˜ λŒ€ν†΅λ Ήμ΄ μž„κΈ° μ΄ˆμ— μ§€μ§€μœ¨μ΄ 높을 것을 μ•Œ 수 μžˆμŠ΅λ‹ˆλ‹€.
04:58
but few keep it.
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ν•˜μ§€λ§Œ 거의 μœ μ§€λ₯Ό λͺ»ν•©λ‹ˆλ‹€.
05:00
Events like wars initially boost approval;
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μ „μŸκ³Ό 같은 μ΄λ²€νŠΈλŠ” μ§€μ§€μœ¨μ„ 높이고
05:02
scandals trigger declines.
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μŠ€μΊ”λ“€μ€ ν•˜λ½μ„ μ΄‰μ§„ν•©λ‹ˆλ‹€.
05:05
These major events were annotated in the graphic but not in the book.
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이듀 μ£Όμš” μ΄λ²€νŠΈλŠ” 책이 μ•„λ‹Œ κ·Έλž˜ν”½μ— μ£Όμ„μœΌλ‘œ ν‘œμ‹œλ˜μ—ˆμŠ΅λ‹ˆλ‹€.
05:09
The point is, graphics can transmit data with incredible efficiency.
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μš”μ μ€ κ·Έλž˜ν”½μ΄ λ†€λž„ 만큼 효율적으둜 데이터λ₯Ό 전달 ν•  수 μžˆλ‹€λŠ” 것이죠.
05:16
Graphicacy --
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도해λ ₯
05:17
the ability to read and write graphics --
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κ·Έλž˜ν”½μ„ 읽고 μ“°λŠ” λŠ₯λ ₯은
05:19
is still in its infancy.
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아직 μ‹œμž‘λ‹¨κ³„μž…λ‹ˆλ‹€.
05:21
New chart forms will emerge and specialized dialects will evolve.
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μƒˆλ‘œμš΄ λ„ν‘œκ°€ λ‚˜μ˜¬ 것이고 νŠΉν™”λœ λΉ„ν‘œμ€€ λ„ν‘œλ„ λ‚˜μ˜€κ² μ£ .
05:25
Graphics that help us think faster
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κ·Έλž˜ν”½μ€ μš°λ¦¬κ°€ 더 빨리 μ‚¬κ³ ν•˜λ„λ‘ λ„μ™€μ£Όκ±°λ‚˜
05:27
or see a book's worth of information on a single page
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ν•œ νŽ˜μ΄μ§€λ‘œ μ±… ν•œ ꢌ의 κ°€μΉ˜κ°€ λ˜λŠ” 정보λ₯Ό λ³΄μ—¬μ£ΌλŠ”
05:30
are the key to unlocking new discoveries.
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μƒˆλ‘œμš΄ λ°œκ²¬μ„ μ—¬λŠ” μ—΄μ‡ μž…λ‹ˆλ‹€.
05:35
Our visual cortex was built to decode complex information
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우리 λ‡Œμ˜ μ‹œκ°λ Ήμ€ λ³΅μž‘ν•œ 정보λ₯Ό ν•΄λ…ν•˜κΈ° μœ„ν•΄ λ§Œλ“€μ–΄μ‘Œκ³ 
05:38
and is a master at pattern recognition.
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νŒ¨ν„΄ 인식에 맀우 λ›°μ–΄λ‚˜μ§€μš”.
05:41
Graphicacy enables us to harness our built-in GPU
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도해λ ₯은 우리 μ•ˆμ— μžˆλŠ” GPUλ₯Ό 동λ ₯으둜 μ‚¬μš©ν•˜μ—¬
05:44
to process mountains of data
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산더미 같은 데이터λ₯Ό μ²˜λ¦¬ν•˜κ³ 
05:46
and find the veins of gold hiding within.
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κ·Έ μ•ˆμ— μˆ¨μ–΄μžˆλŠ” 금λ§₯을 λ°œκ²¬ν•˜κ²Œ ν•˜μ£ .
05:49
Thank you.
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κ°μ‚¬ν•©λ‹ˆλ‹€.
05:50
(Applause and cheers)
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(λ°•μˆ˜μ™€ ν™˜ν˜Έ)
이 μ›Ήμ‚¬μ΄νŠΈ 정보

이 μ‚¬μ΄νŠΈλŠ” μ˜μ–΄ ν•™μŠ΅μ— μœ μš©ν•œ YouTube λ™μ˜μƒμ„ μ†Œκ°œν•©λ‹ˆλ‹€. μ „ 세계 졜고의 μ„ μƒλ‹˜λ“€μ΄ κ°€λ₯΄μΉ˜λŠ” μ˜μ–΄ μˆ˜μ—…μ„ 보게 될 κ²ƒμž…λ‹ˆλ‹€. 각 λ™μ˜μƒ νŽ˜μ΄μ§€μ— ν‘œμ‹œλ˜λŠ” μ˜μ–΄ μžλ§‰μ„ 더블 ν΄λ¦­ν•˜λ©΄ κ·Έκ³³μ—μ„œ λ™μ˜μƒμ΄ μž¬μƒλ©λ‹ˆλ‹€. λΉ„λ””μ˜€ μž¬μƒμ— 맞좰 μžλ§‰μ΄ μŠ€ν¬λ‘€λ©λ‹ˆλ‹€. μ˜κ²¬μ΄λ‚˜ μš”μ²­μ΄ μžˆλŠ” 경우 이 문의 양식을 μ‚¬μš©ν•˜μ—¬ λ¬Έμ˜ν•˜μ‹­μ‹œμ˜€.

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