Overview

Dataset statistics

Number of variables8
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory67.3 B

Variable types

Numeric1
Categorical2
Text3
DateTime2

Alerts

조사분야구분코드명 has constant value ""Constant
조사년도 has constant value ""Constant
공간아이디 has unique valuesUnique

Reproduction

Analysis started2024-04-17 12:06:49.227958
Analysis finished2024-04-17 12:06:49.925798
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3 × 1015
Minimum3 × 1015
Maximum3 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:06:49.977273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1015
5-th percentile3 × 1015
Q13 × 1015
median3 × 1015
Q33 × 1015
95-th percentile3 × 1015
Maximum3 × 1015
Range100
Interquartile range (IQR)49

Descriptive statistics

Standard deviation29.212043
Coefficient of variation (CV)9.7373475 × 10-15
Kurtosis-1.1851206
Mean3 × 1015
Median Absolute Deviation (MAD)25
Skewness-0.020943927
Sum3 × 1017
Variance853.34343
MonotonicityStrictly increasing
2024-04-17T21:06:50.078615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000000046041 1
 
1.0%
3000000000046105 1
 
1.0%
3000000000046115 1
 
1.0%
3000000000046114 1
 
1.0%
3000000000046113 1
 
1.0%
3000000000046112 1
 
1.0%
3000000000046111 1
 
1.0%
3000000000046110 1
 
1.0%
3000000000046109 1
 
1.0%
3000000000046108 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
3000000000046041 1
1.0%
3000000000046042 1
1.0%
3000000000046043 1
1.0%
3000000000046044 1
1.0%
3000000000046045 1
1.0%
3000000000046046 1
1.0%
3000000000046047 1
1.0%
3000000000046048 1
1.0%
3000000000046049 1
1.0%
3000000000046050 1
1.0%
ValueCountFrequency (%)
3000000000046141 1
1.0%
3000000000046140 1
1.0%
3000000000046139 1
1.0%
3000000000046138 1
1.0%
3000000000046137 1
1.0%
3000000000046136 1
1.0%
3000000000046135 1
1.0%
3000000000046134 1
1.0%
3000000000046133 1
1.0%
3000000000046132 1
1.0%

조사분야구분코드명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
식물상
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식물상
2nd row식물상
3rd row식물상
4th row식물상
5th row식물상

Common Values

ValueCountFrequency (%)
식물상 100
100.0%

Length

2024-04-17T21:06:50.182496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:06:50.250366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물상 100
100.0%
Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:06:50.433046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.42
Min length2

Characters and Unicode

Total characters442
Distinct characters152
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)57.0%

Sample

1st row좀고사리
2nd row별꽃
3rd row모데미풀
4th row냉이
5th row꽃다지
ValueCountFrequency (%)
갯버들 3
 
3.0%
모데미풀 2
 
2.0%
점현호색 2
 
2.0%
좀나도히초미 2
 
2.0%
긴잎회양목 2
 
2.0%
호랑버들 2
 
2.0%
고사리삼 2
 
2.0%
산괴불주머니 2
 
2.0%
애기괭이눈 2
 
2.0%
둥근털제비꽃 2
 
2.0%
Other values (68) 79
79.0%
2024-04-17T21:06:50.749359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
4.5%
18
 
4.1%
18
 
4.1%
16
 
3.6%
13
 
2.9%
13
 
2.9%
13
 
2.9%
11
 
2.5%
11
 
2.5%
8
 
1.8%
Other values (142) 301
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
4.5%
18
 
4.1%
18
 
4.1%
16
 
3.6%
13
 
2.9%
13
 
2.9%
13
 
2.9%
11
 
2.5%
11
 
2.5%
8
 
1.8%
Other values (142) 301
68.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
4.5%
18
 
4.1%
18
 
4.1%
16
 
3.6%
13
 
2.9%
13
 
2.9%
13
 
2.9%
11
 
2.5%
11
 
2.5%
8
 
1.8%
Other values (142) 301
68.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
20
 
4.5%
18
 
4.1%
18
 
4.1%
16
 
3.6%
13
 
2.9%
13
 
2.9%
13
 
2.9%
11
 
2.5%
11
 
2.5%
8
 
1.8%
Other values (142) 301
68.1%
Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:06:50.970673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49.5
Mean length31.92
Min length15

Characters and Unicode

Total characters3192
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)57.0%

Sample

1st rowPleurosoriopsis makinoi (Maxim. ex Makino) Fomin
2nd rowStellaria media (L.) Vill.
3rd rowMegaleranthis saniculifolia Ohwi
4th rowCapsella bursa-pastoris (L.) Medik.
5th rowDraba nemorosa L.
ValueCountFrequency (%)
16
 
3.5%
maxim 13
 
2.9%
l 11
 
2.4%
nakai 10
 
2.2%
var 9
 
2.0%
ex 9
 
2.0%
ohwi 7
 
1.5%
f 7
 
1.5%
s 7
 
1.5%
salix 6
 
1.3%
Other values (221) 361
79.2%
2024-04-17T21:06:51.299780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
 
11.2%
a 321
 
10.1%
i 262
 
8.2%
e 187
 
5.9%
s 160
 
5.0%
r 157
 
4.9%
l 143
 
4.5%
o 142
 
4.4%
. 139
 
4.4%
n 139
 
4.4%
Other values (50) 1186
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2308
72.3%
Space Separator 356
 
11.2%
Uppercase Letter 301
 
9.4%
Other Punctuation 161
 
5.0%
Open Punctuation 32
 
1.0%
Close Punctuation 32
 
1.0%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 321
13.9%
i 262
11.4%
e 187
 
8.1%
s 160
 
6.9%
r 157
 
6.8%
l 143
 
6.2%
o 142
 
6.2%
n 139
 
6.0%
u 127
 
5.5%
m 102
 
4.4%
Other values (16) 568
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 35
11.6%
M 34
11.3%
C 29
 
9.6%
B 24
 
8.0%
L 23
 
7.6%
K 20
 
6.6%
F 16
 
5.3%
N 13
 
4.3%
H 13
 
4.3%
P 13
 
4.3%
Other values (15) 81
26.9%
Other Punctuation
ValueCountFrequency (%)
. 139
86.3%
& 16
 
9.9%
? 5
 
3.1%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
356
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2609
81.7%
Common 583
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 321
 
12.3%
i 262
 
10.0%
e 187
 
7.2%
s 160
 
6.1%
r 157
 
6.0%
l 143
 
5.5%
o 142
 
5.4%
n 139
 
5.3%
u 127
 
4.9%
m 102
 
3.9%
Other values (41) 869
33.3%
Common
ValueCountFrequency (%)
356
61.1%
. 139
 
23.8%
( 32
 
5.5%
) 32
 
5.5%
& 16
 
2.7%
? 5
 
0.9%
- 1
 
0.2%
× 1
 
0.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3191
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
 
11.2%
a 321
 
10.1%
i 262
 
8.2%
e 187
 
5.9%
s 160
 
5.0%
r 157
 
4.9%
l 143
 
4.5%
o 142
 
4.5%
. 139
 
4.4%
n 139
 
4.4%
Other values (49) 1185
37.1%
None
ValueCountFrequency (%)
× 1
100.0%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2015
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 100
100.0%

Length

2024-04-17T21:06:51.405078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:06:51.470855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 100
100.0%
Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2015-03-14 00:00:00
Maximum2015-03-27 00:00:00
2024-04-17T21:06:51.533992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:06:51.617237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2015-03-14 00:00:00
Maximum2015-03-27 00:00:00
2024-04-17T21:06:51.691272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:06:51.775026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:06:51.911409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length43.74
Min length41

Characters and Unicode

Total characters4374
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st rowPOINT (309916.8353559385 468857.52995299525)
2nd rowPOINT (310522.07468099555 486560.8667410235)
3rd rowPOINT (297883.96469229215 471168.28591150464)
4th rowPOINT (319344.14171085577 478502.9051768504)
5th rowPOINT (319344.14171085577 478502.9051768504)
ValueCountFrequency (%)
point 100
33.3%
478502.9051768504 2
 
0.7%
315842.4700420336 2
 
0.7%
471393.41582828807 2
 
0.7%
297924.3558175989 2
 
0.7%
471319.82617150515 2
 
0.7%
293991.677030059 2
 
0.7%
479362.7075795623 2
 
0.7%
319344.14171085577 2
 
0.7%
479455.04905310634 1
 
0.3%
Other values (183) 183
61.0%
2024-04-17T21:06:52.178062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 402
 
9.2%
4 368
 
8.4%
3 340
 
7.8%
7 339
 
7.8%
8 322
 
7.4%
1 312
 
7.1%
0 310
 
7.1%
5 305
 
7.0%
2 304
 
7.0%
6 272
 
6.2%
Other values (9) 1100
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3274
74.9%
Uppercase Letter 500
 
11.4%
Space Separator 200
 
4.6%
Other Punctuation 200
 
4.6%
Open Punctuation 100
 
2.3%
Close Punctuation 100
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 402
12.3%
4 368
11.2%
3 340
10.4%
7 339
10.4%
8 322
9.8%
1 312
9.5%
0 310
9.5%
5 305
9.3%
2 304
9.3%
6 272
8.3%
Uppercase Letter
ValueCountFrequency (%)
P 100
20.0%
O 100
20.0%
T 100
20.0%
N 100
20.0%
I 100
20.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Other Punctuation
ValueCountFrequency (%)
. 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3874
88.6%
Latin 500
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
9 402
10.4%
4 368
9.5%
3 340
8.8%
7 339
8.8%
8 322
8.3%
1 312
8.1%
0 310
8.0%
5 305
7.9%
2 304
7.8%
6 272
7.0%
Other values (4) 600
15.5%
Latin
ValueCountFrequency (%)
P 100
20.0%
O 100
20.0%
T 100
20.0%
N 100
20.0%
I 100
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 402
 
9.2%
4 368
 
8.4%
3 340
 
7.8%
7 339
 
7.8%
8 322
 
7.4%
1 312
 
7.1%
0 310
 
7.1%
5 305
 
7.0%
2 304
 
7.0%
6 272
 
6.2%
Other values (9) 1100
25.1%

Interactions

2024-04-17T21:06:49.713065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T21:06:52.268165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디종국명종학명조사시작일자조사종료일자지오메트리
공간아이디1.0000.0000.0000.9730.9730.990
종국명0.0001.0001.0000.0000.0000.968
종학명0.0001.0001.0000.0000.0000.968
조사시작일자0.9730.0000.0001.0001.0001.000
조사종료일자0.9730.0000.0001.0001.0001.000
지오메트리0.9900.9680.9681.0001.0001.000

Missing values

2024-04-17T21:06:49.798567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T21:06:49.888194image/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.

Sample

공간아이디조사분야구분코드명종국명종학명조사년도조사시작일자조사종료일자지오메트리
03000000000046041식물상좀고사리Pleurosoriopsis makinoi (Maxim. ex Makino) Fomin20152015-03-142015-03-14POINT (309916.8353559385 468857.52995299525)
13000000000046042식물상별꽃Stellaria media (L.) Vill.20152015-03-142015-03-14POINT (310522.07468099555 486560.8667410235)
23000000000046043식물상모데미풀Megaleranthis saniculifolia Ohwi20152015-03-142015-03-14POINT (297883.96469229215 471168.28591150464)
33000000000046044식물상냉이Capsella bursa-pastoris (L.) Medik.20152015-03-142015-03-14POINT (319344.14171085577 478502.9051768504)
43000000000046045식물상꽃다지Draba nemorosa L.20152015-03-142015-03-14POINT (319344.14171085577 478502.9051768504)
53000000000046046식물상딱지꽃Potentilla chinensis Ser.20152015-03-142015-03-14POINT (319269.12569385936 478554.2720979058)
63000000000046047식물상참죽나무Cedrela sinensis A. Juss.20152015-03-142015-03-14POINT (319062.19152083993 478653.128338719)
73000000000046048식물상털쥐똥나무Ligustrum obtusifolium var. regelianum Rehder20152015-03-142015-03-14POINT (318977.0581928735 478719.7737034701)
83000000000046049식물상가는잎그늘사초Carex humilis var. nana (H. L?. & Vaniot) Ohwi20152015-03-142015-03-14POINT (319298.0592902185 478610.180980786)
93000000000046050식물상부채괴불이끼Crepidomanes minutum (Blume) K. Iwats.20152015-03-212015-03-21POINT (294707.61402602156 479327.48796204437)
공간아이디조사분야구분코드명종국명종학명조사년도조사시작일자조사종료일자지오메트리
903000000000046132식물상애기괭이눈Chrysosplenium flagelliferum F. Schmidt20152015-03-272015-03-27POINT (311175.1342129821 468944.7518355489)
913000000000046133식물상돌단풍Mukdenia rossii (Oliv.) Koidz.20152015-03-272015-03-27POINT (316934.8710023603 479375.9781945488)
923000000000046134식물상딱지꽃Potentilla chinensis Ser.20152015-03-272015-03-27POINT (310237.31276789703 482197.2211426713)
933000000000046135식물상시닥나무Acer komarovii Pojark.20152015-03-272015-03-27POINT (311180.05141091323 474457.86265595787)
943000000000046136식물상둥근털제비꽃Viola collina Besser20152015-03-272015-03-27POINT (317754.13812750345 479402.70322670497)
953000000000046137식물상서울제비꽃Viola seoulensis Nakai20152015-03-272015-03-27POINT (310270.8008660235 482287.07376310276)
963000000000046138식물상산수유Cornus officinalis Siebold & Zucc.20152015-03-272015-03-27POINT (311552.67609808466 474949.90865306836)
973000000000046139식물상매화노루발Chimaphila japonica Miq.20152015-03-272015-03-27POINT (310403.529289218 469372.56459861743)
983000000000046140식물상진달래Rhododendron mucronulatum Turcz.20152015-03-272015-03-27POINT (310472.858930168 482357.53519603104)
993000000000046141식물상개나리Forsythia koreana (Rehder) Nakai20152015-03-272015-03-27POINT (310035.72918867436 482089.77131213574)