Overview

Dataset statistics

Number of variables5
Number of observations53
Missing cells77
Missing cells (%)29.1%
Duplicate rows1
Duplicate rows (%)1.9%
Total size in memory2.2 KiB
Average record size in memory42.5 B

Variable types

Text4
DateTime1

Dataset

Description전통의학정보포털 오아시스의 한약재 입력 정보입니다. 광물명, 라틴명, 어원, 생성환경, 등록일자로 이루어져있습니다.
Author한국한의학연구원
URLhttps://www.data.go.kr/data/15086077/fileData.do

Alerts

Dataset has 1 (1.9%) duplicate rowsDuplicates
광물명 has 11 (20.8%) missing valuesMissing
라틴명 has 30 (56.6%) missing valuesMissing
어원 has 13 (24.5%) missing valuesMissing
생성환경 has 12 (22.6%) missing valuesMissing
등록일자 has 11 (20.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:51:40.368101
Analysis finished2023-12-12 16:51:41.059605
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

광물명
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing11
Missing (%)20.8%
Memory size556.0 B
2023-12-13T01:51:41.207646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.9285714
Min length6

Characters and Unicode

Total characters417
Distinct characters112
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row금(gold)
2nd row금박(金箔)
3rd row노감석(爐甘石)
4th row녹반(melanterite)
5th row녹반(melanterite)
ValueCountFrequency (%)
석고(gypsum 2
 
4.8%
녹반(melanterite 2
 
4.8%
주사(朱砂 1
 
2.4%
진사(cinnabar 1
 
2.4%
자석영(紫石英 1
 
2.4%
자연동(自然銅 1
 
2.4%
자철석(magnetite 1
 
2.4%
적석지(赤石脂 1
 
2.4%
적철석(hematite 1
 
2.4%
종유석(stalactite 1
 
2.4%
Other values (30) 30
71.4%
2023-12-13T01:51:41.580758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 42
 
10.1%
( 42
 
10.1%
e 23
 
5.5%
석 22
 
5.3%
t 22
 
5.3%
i 20
 
4.8%
a 15
 
3.6%
l 14
 
3.4%
m 11
 
2.6%
石 10
 
2.4%
Other values (102) 196
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 175
42.0%
Other Letter 156
37.4%
Close Punctuation 42
 
10.1%
Open Punctuation 42
 
10.1%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
석 22
 
14.1%
石 10
 
6.4%
반 5
 
3.2%
자 5
 
3.2%
사 3
 
1.9%
박 3
 
1.9%
철 3
 
1.9%
고 3
 
1.9%
이 3
 
1.9%
황 3
 
1.9%
Other values (78) 96
61.5%
Lowercase Letter
ValueCountFrequency (%)
e 23
13.1%
t 22
12.6%
i 20
11.4%
a 15
8.6%
l 14
 
8.0%
m 11
 
6.3%
r 10
 
5.7%
s 9
 
5.1%
u 8
 
4.6%
n 7
 
4.0%
Other values (10) 36
20.6%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 176
42.2%
Hangul 109
26.1%
Common 85
20.4%
Han 47
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
석 22
 
20.2%
반 5
 
4.6%
자 5
 
4.6%
사 3
 
2.8%
박 3
 
2.8%
철 3
 
2.8%
고 3
 
2.8%
이 3
 
2.8%
황 3
 
2.8%
유 3
 
2.8%
Other values (42) 56
51.4%
Han
ValueCountFrequency (%)
石 10
 
21.3%
箔 2
 
4.3%
礬 2
 
4.3%
自 1
 
2.1%
紫 1
 
2.1%
砂 1
 
2.1%
英 1
 
2.1%
朱 1
 
2.1%
然 1
 
2.1%
雲 1
 
2.1%
Other values (26) 26
55.3%
Latin
ValueCountFrequency (%)
e 23
13.1%
t 22
12.5%
i 20
11.4%
a 15
8.5%
l 14
 
8.0%
m 11
 
6.2%
r 10
 
5.7%
s 9
 
5.1%
u 8
 
4.5%
n 7
 
4.0%
Other values (11) 37
21.0%
Common
ValueCountFrequency (%)
) 42
49.4%
( 42
49.4%
? 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
62.6%
Hangul 109
26.1%
CJK 45
 
10.8%
CJK Compat Ideographs 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 42
16.1%
( 42
16.1%
e 23
8.8%
t 22
8.4%
i 20
 
7.7%
a 15
 
5.7%
l 14
 
5.4%
m 11
 
4.2%
r 10
 
3.8%
s 9
 
3.4%
Other values (14) 53
20.3%
Hangul
ValueCountFrequency (%)
석 22
 
20.2%
반 5
 
4.6%
자 5
 
4.6%
사 3
 
2.8%
박 3
 
2.8%
철 3
 
2.8%
고 3
 
2.8%
이 3
 
2.8%
황 3
 
2.8%
유 3
 
2.8%
Other values (42) 56
51.4%
CJK
ValueCountFrequency (%)
石 10
22.2%
箔 2
 
4.4%
礬 2
 
4.4%
自 1
 
2.2%
紫 1
 
2.2%
砂 1
 
2.2%
英 1
 
2.2%
朱 1
 
2.2%
然 1
 
2.2%
雲 1
 
2.2%
Other values (24) 24
53.3%
CJK Compat Ideographs
ValueCountFrequency (%)
綠 1
50.0%
金 1
50.0%

라틴명
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing30
Missing (%)56.6%
Memory size556.0 B
2023-12-13T01:51:41.819972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.173913
Min length5

Characters and Unicode

Total characters234
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st rowAurum
2nd rowCalamina
3rd rowMelanteritum
4th rowMelanteritum
5th rowHaematitum
ValueCountFrequency (%)
gypsum 2
 
7.1%
talcum 2
 
7.1%
melanteritum 2
 
7.1%
fibrosum 2
 
7.1%
rubrum 1
 
3.6%
haematitum 1
 
3.6%
fluoritum 1
 
3.6%
herba 1
 
3.6%
saxifragae 1
 
3.6%
pumex 1
 
3.6%
Other values (14) 14
50.0%
2023-12-13T01:51:42.266648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 28
12.0%
a 23
 
9.8%
m 22
 
9.4%
t 19
 
8.1%
i 19
 
8.1%
r 17
 
7.3%
e 13
 
5.6%
l 12
 
5.1%
s 8
 
3.4%
n 7
 
3.0%
Other values (23) 66
28.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 201
85.9%
Uppercase Letter 28
 
12.0%
Space Separator 5
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 28
13.9%
a 23
11.4%
m 22
10.9%
t 19
9.5%
i 19
9.5%
r 17
8.5%
e 13
 
6.5%
l 12
 
6.0%
s 8
 
4.0%
n 7
 
3.5%
Other values (10) 33
16.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
14.3%
M 4
14.3%
H 3
10.7%
G 3
10.7%
F 3
10.7%
C 2
7.1%
T 2
7.1%
A 2
7.1%
P 2
7.1%
L 1
 
3.6%
Other values (2) 2
7.1%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 229
97.9%
Common 5
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 28
12.2%
a 23
 
10.0%
m 22
 
9.6%
t 19
 
8.3%
i 19
 
8.3%
r 17
 
7.4%
e 13
 
5.7%
l 12
 
5.2%
s 8
 
3.5%
n 7
 
3.1%
Other values (22) 61
26.6%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 28
12.0%
a 23
 
9.8%
m 22
 
9.4%
t 19
 
8.1%
i 19
 
8.1%
r 17
 
7.3%
e 13
 
5.6%
l 12
 
5.1%
s 8
 
3.4%
n 7
 
3.0%
Other values (23) 66
28.2%

어원
Text

MISSING 

Distinct36
Distinct (%)90.0%
Missing13
Missing (%)24.5%
Memory size556.0 B
2023-12-13T01:51:42.571126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length60
Mean length47.125
Min length15

Characters and Unicode

Total characters1885
Distinct characters183
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)80.0%

Sample

1st row약 725년경 앵글로 색슨어의 "금(gehl 또는 jehl)"=노란색에서 파생
2nd rowa = 4.0789 A, Z = 4; V = 67.85 A?ø
3rd rowa = 4.65 A, c = 15.03 A, Z = 6; V = 281.77 A?ø
4th row1950년 황산 제1철(ferrous sulfage)의 의미를 가진 그리스어에서 유래
5th row1950년 황산 제1철(ferrous sulfage)의 의미를 가진 그리스어에서 유래
ValueCountFrequency (%)
74
 
16.9%
a 54
 
12.4%
z 18
 
4.1%
v 18
 
4.1%
a?ø 18
 
4.1%
유래 17
 
3.9%
c 13
 
3.0%
4 9
 
2.1%
b 6
 
1.4%
의미하는 6
 
1.4%
Other values (169) 204
46.7%
2023-12-13T01:51:43.089113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
 
21.1%
= 75
 
4.0%
A 56
 
3.0%
. 55
 
2.9%
1 45
 
2.4%
, 43
 
2.3%
a 42
 
2.2%
4 37
 
2.0%
5 36
 
1.9%
2 33
 
1.8%
Other values (173) 1066
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
24.0%
Space Separator 397
21.1%
Lowercase Letter 330
17.5%
Decimal Number 312
16.6%
Other Punctuation 164
 
8.7%
Uppercase Letter 109
 
5.8%
Math Symbol 75
 
4.0%
Close Punctuation 20
 
1.1%
Open Punctuation 20
 
1.1%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 28
 
6.2%
의 24
 
5.3%
서 22
 
4.9%
유 21
 
4.6%
스 20
 
4.4%
래 20
 
4.4%
어 18
 
4.0%
리 16
 
3.5%
그 13
 
2.9%
는 13
 
2.9%
Other values (113) 258
57.0%
Lowercase Letter
ValueCountFrequency (%)
a 42
12.7%
l 32
 
9.7%
e 29
 
8.8%
s 26
 
7.9%
r 20
 
6.1%
o 20
 
6.1%
c 19
 
5.8%
ø 18
 
5.5%
i 18
 
5.5%
u 17
 
5.2%
Other values (15) 89
27.0%
Uppercase Letter
ValueCountFrequency (%)
A 56
51.4%
V 18
 
16.5%
Z 18
 
16.5%
B 3
 
2.8%
M 2
 
1.8%
H 2
 
1.8%
C 2
 
1.8%
E 2
 
1.8%
K 1
 
0.9%
O 1
 
0.9%
Other values (4) 4
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 45
14.4%
4 37
11.9%
5 36
11.5%
2 33
10.6%
9 31
9.9%
7 30
9.6%
0 27
8.7%
6 26
8.3%
8 25
8.0%
3 22
7.1%
Other Punctuation
ValueCountFrequency (%)
. 55
33.5%
, 43
26.2%
" 29
17.7%
? 18
 
11.0%
; 18
 
11.0%
' 1
 
0.6%
Space Separator
ValueCountFrequency (%)
397
100.0%
Math Symbol
ValueCountFrequency (%)
= 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 993
52.7%
Hangul 453
24.0%
Latin 439
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 28
 
6.2%
의 24
 
5.3%
서 22
 
4.9%
유 21
 
4.6%
스 20
 
4.4%
래 20
 
4.4%
어 18
 
4.0%
리 16
 
3.5%
그 13
 
2.9%
는 13
 
2.9%
Other values (113) 258
57.0%
Latin
ValueCountFrequency (%)
A 56
 
12.8%
a 42
 
9.6%
l 32
 
7.3%
e 29
 
6.6%
s 26
 
5.9%
r 20
 
4.6%
o 20
 
4.6%
c 19
 
4.3%
ø 18
 
4.1%
i 18
 
4.1%
Other values (29) 159
36.2%
Common
ValueCountFrequency (%)
397
40.0%
= 75
 
7.6%
. 55
 
5.5%
1 45
 
4.5%
, 43
 
4.3%
4 37
 
3.7%
5 36
 
3.6%
2 33
 
3.3%
9 31
 
3.1%
7 30
 
3.0%
Other values (11) 211
21.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1414
75.0%
Hangul 453
 
24.0%
None 18
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
28.1%
= 75
 
5.3%
A 56
 
4.0%
. 55
 
3.9%
1 45
 
3.2%
, 43
 
3.0%
a 42
 
3.0%
4 37
 
2.6%
5 36
 
2.5%
2 33
 
2.3%
Other values (49) 595
42.1%
Hangul
ValueCountFrequency (%)
에 28
 
6.2%
의 24
 
5.3%
서 22
 
4.9%
유 21
 
4.6%
스 20
 
4.4%
래 20
 
4.4%
어 18
 
4.0%
리 16
 
3.5%
그 13
 
2.9%
는 13
 
2.9%
Other values (113) 258
57.0%
None
ValueCountFrequency (%)
ø 18
100.0%

생성환경
Text

MISSING 

Distinct38
Distinct (%)92.7%
Missing12
Missing (%)22.6%
Memory size556.0 B
2023-12-13T01:51:43.432166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length43
Mean length35.512195
Min length12

Characters and Unicode

Total characters1456
Distinct characters231
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)85.4%

Sample

1st row석영맥과 충적 광상에서 생성
2nd row약 725년경 앵글로 색슨어의 "금(gehl 또는 jehl)"=노란색에서 파생
3rd row영국 광물학자인 제임스 스민스(James Smothson, 1765-1829)의 이름에서 유래
4th row철황화광물인 황동석의 산화작용에 의해 형성되는 2차광물
5th row철황화광물인 황동석의 산화작용에 의해 형성되는 2차광물
ValueCountFrequency (%)
생성 13
 
4.8%
유래 13
 
4.8%
의해 6
 
2.2%
라틴어 5
 
1.8%
의미하는 5
 
1.8%
산출 4
 
1.5%
그리스 3
 
1.1%
2차광물 3
 
1.1%
muscovy 2
 
0.7%
이름에서 2
 
0.7%
Other values (202) 216
79.4%
2023-12-13T01:51:43.931212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
15.9%
에 43
 
3.0%
의 35
 
2.4%
서 32
 
2.2%
e 30
 
2.1%
l 30
 
2.1%
" 27
 
1.9%
성 27
 
1.9%
광 24
 
1.6%
a 22
 
1.5%
Other values (221) 955
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 824
56.6%
Lowercase Letter 265
 
18.2%
Space Separator 231
 
15.9%
Other Punctuation 40
 
2.7%
Decimal Number 38
 
2.6%
Close Punctuation 19
 
1.3%
Open Punctuation 19
 
1.3%
Uppercase Letter 14
 
1.0%
Dash Punctuation 4
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 43
 
5.2%
의 35
 
4.2%
서 32
 
3.9%
성 27
 
3.3%
광 24
 
2.9%
유 21
 
2.5%
어 17
 
2.1%
화 17
 
2.1%
생 17
 
2.1%
는 16
 
1.9%
Other values (170) 575
69.8%
Lowercase Letter
ValueCountFrequency (%)
e 30
11.3%
l 30
11.3%
a 22
 
8.3%
s 22
 
8.3%
i 20
 
7.5%
o 18
 
6.8%
r 17
 
6.4%
u 16
 
6.0%
m 14
 
5.3%
t 13
 
4.9%
Other values (13) 63
23.8%
Decimal Number
ValueCountFrequency (%)
1 8
21.1%
5 6
15.8%
2 6
15.8%
0 3
 
7.9%
3 3
 
7.9%
9 3
 
7.9%
7 3
 
7.9%
8 3
 
7.9%
4 2
 
5.3%
6 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
K 2
14.3%
M 2
14.3%
H 2
14.3%
B 2
14.3%
W 1
7.1%
O 1
7.1%
S 1
7.1%
J 1
7.1%
E 1
7.1%
C 1
7.1%
Other Punctuation
ValueCountFrequency (%)
" 27
67.5%
, 12
30.0%
' 1
 
2.5%
Space Separator
ValueCountFrequency (%)
231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 824
56.6%
Common 353
24.2%
Latin 279
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 43
 
5.2%
의 35
 
4.2%
서 32
 
3.9%
성 27
 
3.3%
광 24
 
2.9%
유 21
 
2.5%
어 17
 
2.1%
화 17
 
2.1%
생 17
 
2.1%
는 16
 
1.9%
Other values (170) 575
69.8%
Latin
ValueCountFrequency (%)
e 30
 
10.8%
l 30
 
10.8%
a 22
 
7.9%
s 22
 
7.9%
i 20
 
7.2%
o 18
 
6.5%
r 17
 
6.1%
u 16
 
5.7%
m 14
 
5.0%
t 13
 
4.7%
Other values (23) 77
27.6%
Common
ValueCountFrequency (%)
231
65.4%
" 27
 
7.6%
) 19
 
5.4%
( 19
 
5.4%
, 12
 
3.4%
1 8
 
2.3%
5 6
 
1.7%
2 6
 
1.7%
- 4
 
1.1%
0 3
 
0.8%
Other values (8) 18
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 824
56.6%
ASCII 632
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
36.6%
e 30
 
4.7%
l 30
 
4.7%
" 27
 
4.3%
a 22
 
3.5%
s 22
 
3.5%
i 20
 
3.2%
) 19
 
3.0%
( 19
 
3.0%
o 18
 
2.8%
Other values (41) 194
30.7%
Hangul
ValueCountFrequency (%)
에 43
 
5.2%
의 35
 
4.2%
서 32
 
3.9%
성 27
 
3.3%
광 24
 
2.9%
유 21
 
2.5%
어 17
 
2.1%
화 17
 
2.1%
생 17
 
2.1%
는 16
 
1.9%
Other values (170) 575
69.8%

등록일자
Date

MISSING 

Distinct2
Distinct (%)4.8%
Missing11
Missing (%)20.8%
Memory size556.0 B
Minimum2020-10-22 00:00:00
Maximum2020-10-26 00:00:00
2023-12-13T01:51:44.040177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:44.158946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Correlations

2023-12-13T01:51:44.265969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광물명라틴명어원생성환경등록일자
광물명1.0001.0001.0001.0001.000
라틴명1.0001.0000.9380.9380.000
어원1.0000.9381.0001.0001.000
생성환경1.0000.9381.0001.0001.000
등록일자1.0000.0001.0001.0001.000

Missing values

2023-12-13T01:51:40.798271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:51:40.903872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T01:51:40.994191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

광물명라틴명어원생성환경등록일자
0금(gold)<NA>약 725년경 앵글로 색슨어의 "금(gehl 또는 jehl)"=노란색에서 파생석영맥과 충적 광상에서 생성2020-10-26
1금박(金箔)Auruma = 4.0789 A, Z = 4; V = 67.85 A?ø약 725년경 앵글로 색슨어의 "금(gehl 또는 jehl)"=노란색에서 파생2020-10-22
2노감석(爐甘石)Calaminaa = 4.65 A, c = 15.03 A, Z = 6; V = 281.77 A?ø영국 광물학자인 제임스 스민스(James Smothson, 1765-1829)의 이름에서 유래2020-10-22
3녹반(melanterite)Melanteritum1950년 황산 제1철(ferrous sulfage)의 의미를 가진 그리스어에서 유래철황화광물인 황동석의 산화작용에 의해 형성되는 2차광물2020-10-26
4녹반(melanterite)<NA>1950년 황산 제1철(ferrous sulfage)의 의미를 가진 그리스어에서 유래철황화광물인 황동석의 산화작용에 의해 형성되는 2차광물2020-10-26
5녹반(綠礬)Melanterituma = 14.077 A, b = 6.509 A, c = 11.054 A, Z = 4; V = 975.54 A?ø1950년 황산 제1철(ferrous sulfage)의 의미를 가진 그리스어에서 유래2020-10-22
6능아연석(smithsonite)<NA>영국 광물학자인 제임스 스민스(James Smothson, 1765-1829)의 이름에서 유래일반적으로 아연이 함유된 광석의 산화물로 생성2020-10-26
7대자석(代?石)Haematituma = 5.032 A, c = 13.737 A, Z = 6; V = 301.20 A?ø그리스 어인 "haimatites(혈액)"에서 선명한 붉은색에서 유래2020-10-22
8망초(芒硝)Natrii Sulfasa = 12.84 A, b = 10.37 A, c = 11.52 A, Z = 4; V = 1,461.71 A?ø라틴어의 "sal mirabile"인 기적의 소금(miracle salt)에서 유래2020-10-22
9명반석(alunite)<NA>"alum(알루미늄)을 의미하는 라틴어 alunit에서 유래주로 산성 용액이 K-장석이 풍부한 암석을 변질시킬 때 생성2020-10-26
광물명라틴명어원생성환경등록일자
43<NA><NA><NA><NA><NA>
44<NA><NA><NA><NA><NA>
45<NA><NA><NA><NA><NA>
46<NA><NA><NA><NA><NA>
47<NA><NA><NA><NA><NA>
48<NA><NA><NA><NA><NA>
49<NA><NA><NA><NA><NA>
50<NA><NA><NA><NA><NA>
51<NA><NA><NA><NA><NA>
52<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

광물명라틴명어원생성환경등록일자# duplicates
0<NA><NA><NA><NA><NA>11