Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells49533
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory229.0 B

Variable types

Numeric10
Categorical13
Text3

Dataset

Description경기도 의왕시 보행안전지수 지도 시각화에 사용된 의왕시 가로등에 대한 정보를 담고 있는 csv형태의 데이터를 제공합니다.
Author경기도 의왕시
URLhttps://www.data.go.kr/data/15108900/fileData.do

Alerts

지형지물부호 is highly imbalanced (84.8%)Imbalance
공사번호 is highly imbalanced (91.4%)Imbalance
설치일자 is highly imbalanced (57.4%)Imbalance
관리번호 has 4284 (42.8%) missing valuesMissing
행정동읍면코드 has 4400 (44.0%) missing valuesMissing
도엽번호 has 4391 (43.9%) missing valuesMissing
도로구간번호 has 4284 (42.8%) missing valuesMissing
가로등번호 has 7867 (78.7%) missing valuesMissing
설치위치 has 7107 (71.1%) missing valuesMissing
등주높이 has 4284 (42.8%) missing valuesMissing
암길이 has 4284 (42.8%) missing valuesMissing
등간거리 has 4284 (42.8%) missing valuesMissing
가로등제어기관리번호 has 4284 (42.8%) missing valuesMissing
행정동읍면코드 is highly skewed (γ1 = -74.83314773)Skewed
도로구간번호 has 1365 (13.7%) zerosZeros
등주높이 has 3647 (36.5%) zerosZeros
암길이 has 3693 (36.9%) zerosZeros
등간거리 has 3550 (35.5%) zerosZeros
가로등제어기관리번호 has 3882 (38.8%) zerosZeros

Reproduction

Analysis started2023-12-12 11:54:48.986580
Analysis finished2023-12-12 11:54:49.986555
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간지리식별번호
Real number (ℝ)

Distinct8019
Distinct (%)80.7%
Missing64
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean4476.6032
Minimum1
Maximum15530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:50.108151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile423.75
Q11962
median3904
Q36079
95-th percentile10887.5
Maximum15530
Range15529
Interquartile range (IQR)4117

Descriptive statistics

Standard deviation3163.0166
Coefficient of variation (CV)0.70656623
Kurtosis0.11448901
Mean4476.6032
Median Absolute Deviation (MAD)2061.5
Skewness0.82552062
Sum44479529
Variance10004674
MonotonicityNot monotonic
2023-12-12T20:54:50.297489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6252 2
 
< 0.1%
173 2
 
< 0.1%
6264 2
 
< 0.1%
5048 2
 
< 0.1%
6273 2
 
< 0.1%
3910 2
 
< 0.1%
3998 2
 
< 0.1%
6150 2
 
< 0.1%
2133 2
 
< 0.1%
2993 2
 
< 0.1%
Other values (8009) 9916
99.2%
(Missing) 64
 
0.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
15530 1
< 0.1%
15529 1
< 0.1%
15528 1
< 0.1%
15527 1
< 0.1%
15525 1
< 0.1%
15516 1
< 0.1%
15515 1
< 0.1%
15514 1
< 0.1%
15513 1
< 0.1%
15508 1
< 0.1%

지형지물부호
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
AE131
9653 
ae131
 
283
<NA>
 
64

Length

Max length5
Median length5
Mean length4.9936
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAE131
2nd rowAE131
3rd rowAE131
4th rowAE131
5th rowAE131

Common Values

ValueCountFrequency (%)
AE131 9653
96.5%
ae131 283
 
2.8%
<NA> 64
 
0.6%

Length

2023-12-12T20:54:50.479975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:50.605352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ae131 9936
99.4%
na 64
 
0.6%

관리번호
Real number (ℝ)

MISSING 

Distinct5704
Distinct (%)99.8%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean1.9798434 × 108
Minimum1
Maximum2.1090101 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:50.762254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile474.75
Q12275.75
median100284.5
Q3103417.25
95-th percentile2.0073002 × 109
Maximum2.1090101 × 109
Range2.1090101 × 109
Interquartile range (IQR)101141.5

Descriptive statistics

Standard deviation6.0117631 × 108
Coefficient of variation (CV)3.0364841
Kurtosis5.3542584
Mean1.9798434 × 108
Median Absolute Deviation (MAD)97794
Skewness2.7107071
Sum1.1316785 × 1012
Variance3.6141296 × 1017
MonotonicityNot monotonic
2023-12-12T20:54:51.278247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100010 2
 
< 0.1%
100011 2
 
< 0.1%
100006 2
 
< 0.1%
100003 2
 
< 0.1%
100002 2
 
< 0.1%
100012 2
 
< 0.1%
100005 2
 
< 0.1%
100004 2
 
< 0.1%
100001 2
 
< 0.1%
100009 2
 
< 0.1%
Other values (5694) 5696
57.0%
(Missing) 4284
42.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2109010086 1
< 0.1%
2109010085 1
< 0.1%
2109010084 1
< 0.1%
2109010083 1
< 0.1%
2109010082 1
< 0.1%
2109010081 1
< 0.1%
2109010080 1
< 0.1%
2109010079 1
< 0.1%
2109010078 1
< 0.1%
2109010077 1
< 0.1%

행정동읍면코드
Real number (ℝ)

MISSING  SKEWED 

Distinct12
Distinct (%)0.2%
Missing4400
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean4.1422715 × 109
Minimum4143010
Maximum4.1430111 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:51.468314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4143010
5-th percentile4.1430101 × 109
Q14.1430104 × 109
median4.1430106 × 109
Q34.1430108 × 109
95-th percentile4.143011 × 109
Maximum4.1430111 × 109
Range4.1388681 × 109
Interquartile range (IQR)400

Descriptive statistics

Standard deviation55307944
Coefficient of variation (CV)0.013352081
Kurtosis5600
Mean4.1422715 × 109
Median Absolute Deviation (MAD)200
Skewness-74.833148
Sum2.319672 × 1013
Variance3.0589687 × 1015
MonotonicityNot monotonic
2023-12-12T20:54:51.613814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4143010600 911
 
9.1%
4143010800 712
 
7.1%
4143010700 663
 
6.6%
4143010300 624
 
6.2%
4143010500 563
 
5.6%
4143010900 527
 
5.3%
4143010400 434
 
4.3%
4143010100 410
 
4.1%
4143010200 315
 
3.1%
4143011000 248
 
2.5%
Other values (2) 193
 
1.9%
(Missing) 4400
44.0%
ValueCountFrequency (%)
4143010 1
 
< 0.1%
4143010100 410
4.1%
4143010200 315
 
3.1%
4143010300 624
6.2%
4143010400 434
4.3%
4143010500 563
5.6%
4143010600 911
9.1%
4143010700 663
6.6%
4143010800 712
7.1%
4143010900 527
5.3%
ValueCountFrequency (%)
4143011100 192
 
1.9%
4143011000 248
 
2.5%
4143010900 527
5.3%
4143010800 712
7.1%
4143010700 663
6.6%
4143010600 911
9.1%
4143010500 563
5.6%
4143010400 434
4.3%
4143010300 624
6.2%
4143010200 315
 
3.1%

도엽번호
Text

MISSING 

Distinct425
Distinct (%)7.6%
Missing4391
Missing (%)43.9%
Memory size156.2 KiB
2023-12-12T20:54:51.968540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters56090
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.4%

Sample

1st row376122022A
2nd row376122024A
3rd row377091121D
4th row377091122A
5th row376121098D
ValueCountFrequency (%)
377091121b 65
 
1.2%
376121530d 61
 
1.1%
377091121a 61
 
1.1%
376122062b 57
 
1.0%
376122016d 55
 
1.0%
376121545b 54
 
1.0%
377091153a 47
 
0.8%
377091121c 47
 
0.8%
377091152b 41
 
0.7%
376121550b 41
 
0.7%
Other values (415) 5080
90.6%
2023-12-12T20:54:52.492682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10881
19.4%
7 7728
13.8%
2 7523
13.4%
3 6775
12.1%
6 5421
9.7%
0 4414
7.9%
5 3124
 
5.6%
9 2613
 
4.7%
A 1544
 
2.8%
B 1428
 
2.5%
Other values (4) 4639
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50481
90.0%
Uppercase Letter 5609
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10881
21.6%
7 7728
15.3%
2 7523
14.9%
3 6775
13.4%
6 5421
10.7%
0 4414
8.7%
5 3124
 
6.2%
9 2613
 
5.2%
4 1114
 
2.2%
8 888
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
A 1544
27.5%
B 1428
25.5%
D 1341
23.9%
C 1296
23.1%

Most occurring scripts

ValueCountFrequency (%)
Common 50481
90.0%
Latin 5609
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10881
21.6%
7 7728
15.3%
2 7523
14.9%
3 6775
13.4%
6 5421
10.7%
0 4414
8.7%
5 3124
 
6.2%
9 2613
 
5.2%
4 1114
 
2.2%
8 888
 
1.8%
Latin
ValueCountFrequency (%)
A 1544
27.5%
B 1428
25.5%
D 1341
23.9%
C 1296
23.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10881
19.4%
7 7728
13.8%
2 7523
13.4%
3 6775
12.1%
6 5421
9.7%
0 4414
7.9%
5 3124
 
5.6%
9 2613
 
4.7%
A 1544
 
2.8%
B 1428
 
2.5%
Other values (4) 4639
8.3%

관리기관코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
MNG001
4890 
<NA>
4400 
MNG000
 
397
MNG100
 
278
MNG999
 
35

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMNG001
2nd rowMNG001
3rd rowMNG100
4th rowMNG100
5th rowMNG001

Common Values

ValueCountFrequency (%)
MNG001 4890
48.9%
<NA> 4400
44.0%
MNG000 397
 
4.0%
MNG100 278
 
2.8%
MNG999 35
 
0.4%

Length

2023-12-12T20:54:52.660316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:52.787073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mng001 4890
48.9%
na 4400
44.0%
mng000 397
 
4.0%
mng100 278
 
2.8%
mng999 35
 
0.4%

도로구간번호
Real number (ℝ)

MISSING  ZEROS 

Distinct583
Distinct (%)10.2%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean1.9619417 × 108
Minimum0
Maximum2.10901 × 109
Zeros1365
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:52.944231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median962
Q3100171
95-th percentile2.0073001 × 109
Maximum2.10901 × 109
Range2.10901 × 109
Interquartile range (IQR)100167.25

Descriptive statistics

Standard deviation5.9882698 × 108
Coefficient of variation (CV)3.0522159
Kurtosis5.4457814
Mean1.9619417 × 108
Median Absolute Deviation (MAD)962
Skewness2.7275194
Sum1.1214459 × 1012
Variance3.5859375 × 1017
MonotonicityNot monotonic
2023-12-12T20:54:53.166065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1365
 
13.7%
1032 167
 
1.7%
2109010001 83
 
0.8%
514 79
 
0.8%
200152 75
 
0.8%
30006 72
 
0.7%
30012 71
 
0.7%
1038 67
 
0.7%
1035 61
 
0.6%
2 53
 
0.5%
Other values (573) 3623
36.2%
(Missing) 4284
42.8%
ValueCountFrequency (%)
0 1365
13.7%
1 7
 
0.1%
2 53
 
0.5%
3 4
 
< 0.1%
4 23
 
0.2%
5 2
 
< 0.1%
9 1
 
< 0.1%
15 2
 
< 0.1%
27 20
 
0.2%
28 41
 
0.4%
ValueCountFrequency (%)
2109010001 83
0.8%
2103020001 5
 
0.1%
2012310002 11
 
0.1%
2012310001 11
 
0.1%
2009010008 4
 
< 0.1%
2007300235 3
 
< 0.1%
2007300234 4
 
< 0.1%
2007300229 1
 
< 0.1%
2007300217 13
 
0.1%
2007300215 5
 
0.1%

가로등번호
Text

MISSING 

Distinct1997
Distinct (%)93.6%
Missing7867
Missing (%)78.7%
Memory size156.2 KiB
2023-12-12T20:54:53.486305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.7037037
Min length1

Characters and Unicode

Total characters18565
Distinct characters135
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

Unique1940 ?
Unique (%)91.0%

Sample

1st row백운지구LP-7 13
2nd row중앙로샛길호수-2
3rd row백운지구LP-16 6
4th row고색의왕호수38
5th row경수산업로호수25
ValueCountFrequency (%)
장안지구 192
 
6.6%
왕송저수지동로길호수 41
 
1.4%
1 38
 
1.3%
백운지구lp-21 38
 
1.3%
2 36
 
1.2%
3 35
 
1.2%
6 34
 
1.2%
7 33
 
1.1%
5 33
 
1.1%
4 32
 
1.1%
Other values (1491) 2411
82.5%
2023-12-12T20:54:53.978559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1540
 
8.3%
1 1391
 
7.5%
호 1287
 
6.9%
- 1257
 
6.8%
로 955
 
5.1%
790
 
4.3%
2 789
 
4.2%
지 635
 
3.4%
구 591
 
3.2%
P 590
 
3.2%
Other values (125) 8740
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10246
55.2%
Decimal Number 5038
27.1%
Dash Punctuation 1257
 
6.8%
Uppercase Letter 1197
 
6.4%
Space Separator 790
 
4.3%
Lowercase Letter 20
 
0.1%
Math Symbol 6
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1540
15.0%
호 1287
 
12.6%
로 955
 
9.3%
지 635
 
6.2%
구 591
 
5.8%
백 495
 
4.8%
운 495
 
4.8%
왕 297
 
2.9%
안 266
 
2.6%
의 234
 
2.3%
Other values (88) 3451
33.7%
Lowercase Letter
ValueCountFrequency (%)
n 4
20.0%
a 3
15.0%
u 3
15.0%
c 2
10.0%
e 2
10.0%
v 1
 
5.0%
o 1
 
5.0%
l 1
 
5.0%
t 1
 
5.0%
p 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 1391
27.6%
2 789
15.7%
3 479
 
9.5%
4 409
 
8.1%
5 373
 
7.4%
0 359
 
7.1%
6 348
 
6.9%
7 322
 
6.4%
8 306
 
6.1%
9 262
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
P 590
49.3%
L 590
49.3%
J 5
 
0.4%
A 3
 
0.3%
D 3
 
0.3%
B 2
 
0.2%
C 1
 
0.1%
N 1
 
0.1%
O 1
 
0.1%
S 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1257
100.0%
Space Separator
ValueCountFrequency (%)
790
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10246
55.2%
Common 7102
38.3%
Latin 1217
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1540
15.0%
호 1287
 
12.6%
로 955
 
9.3%
지 635
 
6.2%
구 591
 
5.8%
백 495
 
4.8%
운 495
 
4.8%
왕 297
 
2.9%
안 266
 
2.6%
의 234
 
2.3%
Other values (88) 3451
33.7%
Latin
ValueCountFrequency (%)
P 590
48.5%
L 590
48.5%
J 5
 
0.4%
n 4
 
0.3%
a 3
 
0.2%
A 3
 
0.2%
u 3
 
0.2%
D 3
 
0.2%
c 2
 
0.2%
e 2
 
0.2%
Other values (11) 12
 
1.0%
Common
ValueCountFrequency (%)
1 1391
19.6%
- 1257
17.7%
790
11.1%
2 789
11.1%
3 479
 
6.7%
4 409
 
5.8%
5 373
 
5.3%
0 359
 
5.1%
6 348
 
4.9%
7 322
 
4.5%
Other values (6) 585
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10246
55.2%
ASCII 8319
44.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1540
15.0%
호 1287
 
12.6%
로 955
 
9.3%
지 635
 
6.2%
구 591
 
5.8%
백 495
 
4.8%
운 495
 
4.8%
왕 297
 
2.9%
안 266
 
2.6%
의 234
 
2.3%
Other values (88) 3451
33.7%
ASCII
ValueCountFrequency (%)
1 1391
16.7%
- 1257
15.1%
790
9.5%
2 789
9.5%
P 590
7.1%
L 590
7.1%
3 479
 
5.8%
4 409
 
4.9%
5 373
 
4.5%
0 359
 
4.3%
Other values (27) 1292
15.5%

설치위치
Text

MISSING 

Distinct217
Distinct (%)7.5%
Missing7107
Missing (%)71.1%
Memory size156.2 KiB
2023-12-12T20:54:54.286222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.1199447
Min length2

Characters and Unicode

Total characters17705
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)4.6%

Sample

1st row과천의왕간고속화도로
2nd row과천의왕간고속화도로
3rd row의왕시 포일동
4th row의왕고색간고속화도로
5th row중앙로샛길
ValueCountFrequency (%)
의왕시 314
 
9.7%
국지도57호선 278
 
8.5%
포일동 266
 
8.2%
의왕고색간고속화도로 256
 
7.9%
과천의왕간고속화도로 213
 
6.5%
경수산업로 165
 
5.1%
덕성로 117
 
3.6%
영동고속도로 80
 
2.5%
백운로 78
 
2.4%
청계사길 77
 
2.4%
Other values (208) 1408
43.3%
2023-12-12T20:54:54.690307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1560
 
8.8%
고 1125
 
6.4%
도 1115
 
6.3%
왕 924
 
5.2%
의 916
 
5.2%
속 746
 
4.2%
화 607
 
3.4%
간 563
 
3.2%
동 489
 
2.8%
길 484
 
2.7%
Other values (125) 9176
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16006
90.4%
Decimal Number 1169
 
6.6%
Space Separator 359
 
2.0%
Dash Punctuation 117
 
0.7%
Math Symbol 54
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1560
 
9.7%
고 1125
 
7.0%
도 1115
 
7.0%
왕 924
 
5.8%
의 916
 
5.7%
속 746
 
4.7%
화 607
 
3.8%
간 563
 
3.5%
동 489
 
3.1%
길 484
 
3.0%
Other values (112) 7477
46.7%
Decimal Number
ValueCountFrequency (%)
7 353
30.2%
5 334
28.6%
1 98
 
8.4%
9 79
 
6.8%
2 78
 
6.7%
4 53
 
4.5%
8 52
 
4.4%
6 46
 
3.9%
3 45
 
3.8%
0 31
 
2.7%
Space Separator
ValueCountFrequency (%)
359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16006
90.4%
Common 1699
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1560
 
9.7%
고 1125
 
7.0%
도 1115
 
7.0%
왕 924
 
5.8%
의 916
 
5.7%
속 746
 
4.7%
화 607
 
3.8%
간 563
 
3.5%
동 489
 
3.1%
길 484
 
3.0%
Other values (112) 7477
46.7%
Common
ValueCountFrequency (%)
359
21.1%
7 353
20.8%
5 334
19.7%
- 117
 
6.9%
1 98
 
5.8%
9 79
 
4.6%
2 78
 
4.6%
~ 54
 
3.2%
4 53
 
3.1%
8 52
 
3.1%
Other values (3) 122
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16006
90.4%
ASCII 1699
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1560
 
9.7%
고 1125
 
7.0%
도 1115
 
7.0%
왕 924
 
5.8%
의 916
 
5.7%
속 746
 
4.7%
화 607
 
3.8%
간 563
 
3.5%
동 489
 
3.1%
길 484
 
3.0%
Other values (112) 7477
46.7%
ASCII
ValueCountFrequency (%)
359
21.1%
7 353
20.8%
5 334
19.7%
- 117
 
6.9%
1 98
 
5.8%
9 79
 
4.6%
2 78
 
4.6%
~ 54
 
3.2%
4 53
 
3.1%
8 52
 
3.1%
Other values (3) 122
 
7.2%

가로등배열방법
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
ARG003
1648 
ARG004
1588 
ARG000
1445 
ARG001
640 
Other values (2)
 
279

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowARG000
2nd rowARG000
3rd rowARG004
4th rowARG003
5th rowARG003

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
ARG003 1648
 
16.5%
ARG004 1588
 
15.9%
ARG000 1445
 
14.4%
ARG001 640
 
6.4%
ARG999 278
 
2.8%
ARG002 1
 
< 0.1%

Length

2023-12-12T20:54:54.897564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:55.085998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
arg003 1648
 
16.5%
arg004 1588
 
15.9%
arg000 1445
 
14.4%
arg001 640
 
6.4%
arg999 278
 
2.8%
arg002 1
 
< 0.1%

등기구모형
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
LSH002
2035 
LSH999
1521 
LSH000
1250 
LSH007
619 
Other values (3)
 
175

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLSH000
2nd rowLSH000
3rd rowLSH002
4th rowLSH002
5th rowLSH999

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
LSH002 2035
20.3%
LSH999 1521
 
15.2%
LSH000 1250
 
12.5%
LSH007 619
 
6.2%
LSH016 130
 
1.3%
LSH006 39
 
0.4%
LSH010 6
 
0.1%

Length

2023-12-12T20:54:55.265194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:55.432835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
lsh002 2035
20.3%
lsh999 1521
 
15.2%
lsh000 1250
 
12.5%
lsh007 619
 
6.2%
lsh016 130
 
1.3%
lsh006 39
 
0.4%
lsh010 6
 
0.1%

등주높이
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.2%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean2.7786039
Minimum0
Maximum12
Zeros3647
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:55.565617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.8600421
Coefficient of variation (CV)1.389202
Kurtosis-1.024597
Mean2.7786039
Median Absolute Deviation (MAD)0
Skewness0.82978586
Sum15882.5
Variance14.899925
MonotonicityNot monotonic
2023-12-12T20:54:55.707766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 3647
36.5%
10.0 500
 
5.0%
8.0 488
 
4.9%
5.0 378
 
3.8%
6.0 373
 
3.7%
9.0 215
 
2.1%
7.0 83
 
0.8%
12.0 23
 
0.2%
6.5 9
 
0.1%
(Missing) 4284
42.8%
ValueCountFrequency (%)
0.0 3647
36.5%
5.0 378
 
3.8%
6.0 373
 
3.7%
6.5 9
 
0.1%
7.0 83
 
0.8%
8.0 488
 
4.9%
9.0 215
 
2.1%
10.0 500
 
5.0%
12.0 23
 
0.2%
ValueCountFrequency (%)
12.0 23
 
0.2%
10.0 500
 
5.0%
9.0 215
 
2.1%
8.0 488
 
4.9%
7.0 83
 
0.8%
6.5 9
 
0.1%
6.0 373
 
3.7%
5.0 378
 
3.8%
0.0 3647
36.5%

등주형식
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
PLT000
3371 
PLT001
1078 
PLT002
998 
PLT006
 
97
Other values (4)
 
56

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowPLT000
2nd rowPLT000
3rd rowPLT000
4th rowPLT000
5th rowPLT002

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
PLT000 3371
33.7%
PLT001 1078
 
10.8%
PLT002 998
 
10.0%
PLT006 97
 
1.0%
LSH001 38
 
0.4%
PLT005 15
 
0.1%
PLT004 2
 
< 0.1%
PLT003 1
 
< 0.1%

Length

2023-12-12T20:54:55.882048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:56.052648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
plt000 3371
33.7%
plt001 1078
 
10.8%
plt002 998
 
10.0%
plt006 97
 
1.0%
lsh001 38
 
0.4%
plt005 15
 
0.1%
plt004 2
 
< 0.1%
plt003 1
 
< 0.1%

등주형상
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
PLF999
2416 
PLF001
1844 
PLF000
1310 
PLF003
 
30

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPLF000
2nd rowPLF000
3rd rowPLF001
4th rowPLF999
5th rowPLF999

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
PLF999 2416
24.2%
PLF001 1844
18.4%
PLF000 1310
 
13.1%
PLF003 30
 
0.3%

Length

2023-12-12T20:54:56.269350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:56.422863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
plf999 2416
24.2%
plf001 1844
18.4%
plf000 1310
 
13.1%
plf003 30
 
0.3%

등주재질
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
PLM002
1975 
PLM004
1343 
PLM000
1224 
PLM001
702 
Other values (3)
 
356

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPLM000
2nd rowPLM000
3rd rowPLM002
4th rowPLM002
5th rowPLM001

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
PLM002 1975
19.8%
PLM004 1343
 
13.4%
PLM000 1224
 
12.2%
PLM001 702
 
7.0%
PLM003 243
 
2.4%
PLM999 58
 
0.6%
PLM005 55
 
0.5%

Length

2023-12-12T20:54:56.595530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:56.741945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
plm002 1975
19.8%
plm004 1343
 
13.4%
plm000 1224
 
12.2%
plm001 702
 
7.0%
plm003 243
 
2.4%
plm999 58
 
0.6%
plm005 55
 
0.5%

암길이
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.1%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean0.53794612
Minimum0
Maximum2.5
Zeros3693
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:56.873605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile2
Maximum2.5
Range2.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.76035856
Coefficient of variation (CV)1.4134474
Kurtosis-0.86631943
Mean0.53794612
Median Absolute Deviation (MAD)0
Skewness0.8809814
Sum3074.9
Variance0.57814514
MonotonicityNot monotonic
2023-12-12T20:54:57.002213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 3693
36.9%
1.5 1006
 
10.1%
1.0 461
 
4.6%
2.0 457
 
4.6%
2.5 52
 
0.5%
1.20000005 38
 
0.4%
1.70000005 9
 
0.1%
(Missing) 4284
42.8%
ValueCountFrequency (%)
0.0 3693
36.9%
1.0 461
 
4.6%
1.20000005 38
 
0.4%
1.5 1006
 
10.1%
1.70000005 9
 
0.1%
2.0 457
 
4.6%
2.5 52
 
0.5%
ValueCountFrequency (%)
2.5 52
 
0.5%
2.0 457
 
4.6%
1.70000005 9
 
0.1%
1.5 1006
 
10.1%
1.20000005 38
 
0.4%
1.0 461
 
4.6%
0.0 3693
36.9%

등기구수량
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4284 
1
3272 
0
1349 
2
1092 
4
 
2

Length

Max length4
Median length1
Mean length2.2852
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 4284
42.8%
1 3272
32.7%
0 1349
 
13.5%
2 1092
 
10.9%
4 2
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-12T20:54:57.172135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:57.311047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4284
42.8%
1 3272
32.7%
0 1349
 
13.5%
2 1092
 
10.9%
4 2
 
< 0.1%
3 1
 
< 0.1%

광원종류
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4400 
LCD000
2339 
LCD999
1279 
LCD003
1192 
LCD002
720 
Other values (2)
 
70

Length

Max length6
Median length6
Mean length5.12
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLCD000
2nd rowLCD000
3rd rowLCD000
4th rowLCD000
5th rowLCD999

Common Values

ValueCountFrequency (%)
<NA> 4400
44.0%
LCD000 2339
23.4%
LCD999 1279
 
12.8%
LCD003 1192
 
11.9%
LCD002 720
 
7.2%
LCD001 61
 
0.6%
LCD004 9
 
0.1%

Length

2023-12-12T20:54:57.458464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:57.613442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4400
44.0%
lcd000 2339
23.4%
lcd999 1279
 
12.8%
lcd003 1192
 
11.9%
lcd002 720
 
7.2%
lcd001 61
 
0.6%
lcd004 9
 
0.1%

광원용량
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
4444 
<NA>
4284 
400
1201 
2500
 
28
250
 
27

Length

Max length4
Median length3
Mean length2.5424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4444
44.4%
<NA> 4284
42.8%
400 1201
 
12.0%
2500 28
 
0.3%
250 27
 
0.3%
150 16
 
0.2%

Length

2023-12-12T20:54:57.783807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:57.915859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4444
44.4%
na 4284
42.8%
400 1201
 
12.0%
2500 28
 
0.3%
250 27
 
0.3%
150 16
 
0.2%

등간거리
Real number (ℝ)

MISSING  ZEROS 

Distinct573
Distinct (%)10.0%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean14.645171
Minimum0
Maximum570.59998
Zeros3550
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:58.069207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330.1
95-th percentile54.900002
Maximum570.59998
Range570.59998
Interquartile range (IQR)30.1

Descriptive statistics

Standard deviation22.434419
Coefficient of variation (CV)1.5318645
Kurtosis69.875156
Mean14.645171
Median Absolute Deviation (MAD)0
Skewness4.0330603
Sum83711.8
Variance503.30315
MonotonicityNot monotonic
2023-12-12T20:54:58.207922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3550
35.5%
25.0 49
 
0.5%
30.0 39
 
0.4%
28.0 37
 
0.4%
35.0 26
 
0.3%
24.39999962 22
 
0.2%
35.90000153 19
 
0.2%
31.0 19
 
0.2%
40.09999847 18
 
0.2%
29.29999924 18
 
0.2%
Other values (563) 1919
19.2%
(Missing) 4284
42.8%
ValueCountFrequency (%)
0.0 3550
35.5%
3.9000001 1
 
< 0.1%
4.19999981 1
 
< 0.1%
6.5 1
 
< 0.1%
7.80000019 1
 
< 0.1%
8.19999981 1
 
< 0.1%
8.60000038 1
 
< 0.1%
8.80000019 1
 
< 0.1%
9.39999962 1
 
< 0.1%
10.30000019 2
 
< 0.1%
ValueCountFrequency (%)
570.5999756 1
< 0.1%
234.3999939 1
< 0.1%
229.1000061 1
< 0.1%
190.0 1
< 0.1%
153.0 1
< 0.1%
149.3000031 1
< 0.1%
134.6000061 1
< 0.1%
125.5999985 1
< 0.1%
121.699997 1
< 0.1%
120.199997 1
< 0.1%

공사번호
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9655 
RD20190002
 
188
RD20160010
 
29
RD20170006
 
23
RD20180005
 
22
Other values (6)
 
83

Length

Max length10
Median length4
Mean length4.207
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9655
96.5%
RD20190002 188
 
1.9%
RD20160010 29
 
0.3%
RD20170006 23
 
0.2%
RD20180005 22
 
0.2%
RD20170004 22
 
0.2%
RD20170002 18
 
0.2%
RD20190003 16
 
0.2%
RD20170008 12
 
0.1%
RD20120020 9
 
0.1%

Length

2023-12-12T20:54:58.357594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9655
96.5%
rd20190002 188
 
1.9%
rd20160010 29
 
0.3%
rd20170006 23
 
0.2%
rd20180005 22
 
0.2%
rd20170004 22
 
0.2%
rd20170002 18
 
0.2%
rd20190003 16
 
0.2%
rd20170008 12
 
0.1%
rd20120020 9
 
0.1%

대장초기화여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4356 
<NA>
4306 
0
1338 

Length

Max length4
Median length1
Mean length2.2918
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4356
43.6%
<NA> 4306
43.1%
0 1338
 
13.4%

Length

2023-12-12T20:54:58.498011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:54:58.626585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4356
43.6%
na 4306
43.1%
0 1338
 
13.4%

설치일자
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6951 
2017-12-31
 
400
2013-01-01
 
278
2001-01-01
 
252
2019-01-01
 
228
Other values (32)
1891 

Length

Max length10
Median length4
Mean length5.8294
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6951
69.5%
2017-12-31 400
 
4.0%
2013-01-01 278
 
2.8%
2001-01-01 252
 
2.5%
2019-01-01 228
 
2.3%
2015-01-01 212
 
2.1%
1990-01-01 191
 
1.9%
2018-01-01 187
 
1.9%
2012-01-01 132
 
1.3%
1997-01-01 128
 
1.3%
Other values (27) 1041
 
10.4%

Length

2023-12-12T20:54:58.754992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6951
69.5%
2017-12-31 400
 
4.0%
2013-01-01 278
 
2.8%
2001-01-01 252
 
2.5%
2019-01-01 228
 
2.3%
2015-01-01 212
 
2.1%
1990-01-01 191
 
1.9%
2018-01-01 187
 
1.9%
2012-01-01 132
 
1.3%
1997-01-01 128
 
1.3%
Other values (27) 1041
 
10.4%

가로등제어기관리번호
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)2.0%
Missing4284
Missing (%)42.8%
Infinite0
Infinite (%)0.0%
Mean21531.987
Minimum0
Maximum961001
Zeros3882
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:58.903829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q333
95-th percentile300001
Maximum961001
Range961001
Interquartile range (IQR)33

Descriptive statistics

Standard deviation92677.134
Coefficient of variation (CV)4.3041609
Kurtosis52.76794
Mean21531.987
Median Absolute Deviation (MAD)0
Skewness6.4226436
Sum1.2307684 × 108
Variance8.5890512 × 109
MonotonicityNot monotonic
2023-12-12T20:54:59.053489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3882
38.8%
39 62
 
0.6%
30063 47
 
0.5%
300001 46
 
0.5%
77 42
 
0.4%
58 39
 
0.4%
300008 38
 
0.4%
30065 34
 
0.3%
59 33
 
0.3%
7 33
 
0.3%
Other values (102) 1460
 
14.6%
(Missing) 4284
42.8%
ValueCountFrequency (%)
0 3882
38.8%
1 31
 
0.3%
2 23
 
0.2%
4 1
 
< 0.1%
6 8
 
0.1%
7 33
 
0.3%
9 1
 
< 0.1%
10 14
 
0.1%
11 5
 
0.1%
12 6
 
0.1%
ValueCountFrequency (%)
961001 15
 
0.1%
961000 13
 
0.1%
300012 31
0.3%
300011 11
 
0.1%
300010 17
0.2%
300009 16
0.2%
300008 38
0.4%
300007 22
0.2%
300006 25
0.2%
300005 27
0.3%

위도
Real number (ℝ)

Distinct9962
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198175.58
Minimum194128.41
Maximum203405.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:59.209830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194128.41
5-th percentile195552.36
Q1196967.06
median197968.55
Q3199606.53
95-th percentile201074.36
Maximum203405.02
Range9276.6113
Interquartile range (IQR)2639.4755

Descriptive statistics

Standard deviation1741.0855
Coefficient of variation (CV)0.00878557
Kurtosis-0.40281616
Mean198175.58
Median Absolute Deviation (MAD)1267.8317
Skewness0.32022046
Sum1.9817558 × 109
Variance3031378.6
MonotonicityNot monotonic
2023-12-12T20:54:59.421411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196496.2234 2
 
< 0.1%
197563.13 2
 
< 0.1%
199806.5693 2
 
< 0.1%
197767.22 2
 
< 0.1%
198678.05 2
 
< 0.1%
200052.6541 2
 
< 0.1%
200474.8837 2
 
< 0.1%
200705.3038 2
 
< 0.1%
198438.87 2
 
< 0.1%
198128.3661 2
 
< 0.1%
Other values (9952) 9980
99.8%
ValueCountFrequency (%)
194128.408 1
< 0.1%
194149.0226 1
< 0.1%
194162.3686 1
< 0.1%
194171.3417 1
< 0.1%
194174.1809 1
< 0.1%
194195.9052 1
< 0.1%
194211.3897 1
< 0.1%
194220.5616 1
< 0.1%
194234.4237 1
< 0.1%
194291.1228 1
< 0.1%
ValueCountFrequency (%)
203405.0193 1
< 0.1%
203404.2257 1
< 0.1%
203389.77 1
< 0.1%
203383.631 1
< 0.1%
203358.778 1
< 0.1%
203329.078 1
< 0.1%
203301.33 1
< 0.1%
203299.129 1
< 0.1%
203269.641 1
< 0.1%
203268.889 1
< 0.1%

경도
Real number (ℝ)

Distinct9969
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529165.04
Minimum522364.93
Maximum534146.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:54:59.591905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum522364.93
5-th percentile523786.57
Q1526654.9
median529837.59
Q3532060.05
95-th percentile532956.94
Maximum534146.17
Range11781.237
Interquartile range (IQR)5405.1523

Descriptive statistics

Standard deviation3120.9223
Coefficient of variation (CV)0.0058978241
Kurtosis-1.1407925
Mean529165.04
Median Absolute Deviation (MAD)2485.3671
Skewness-0.39661564
Sum5.2916504 × 109
Variance9740156
MonotonicityNot monotonic
2023-12-12T20:54:59.785572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
524505.1745 2
 
< 0.1%
523773.2147 2
 
< 0.1%
532016.94 2
 
< 0.1%
530236.3741 2
 
< 0.1%
532119.22 2
 
< 0.1%
528550.52 2
 
< 0.1%
532283.4 2
 
< 0.1%
531004.77 2
 
< 0.1%
524778.9423 2
 
< 0.1%
527306.61 2
 
< 0.1%
Other values (9959) 9980
99.8%
ValueCountFrequency (%)
522364.931 1
< 0.1%
522387.637 1
< 0.1%
522414.018 1
< 0.1%
522421.731 1
< 0.1%
522435.946 1
< 0.1%
522460.674 1
< 0.1%
522482.483 1
< 0.1%
522501.072 1
< 0.1%
522518.38 1
< 0.1%
522540.251 1
< 0.1%
ValueCountFrequency (%)
534146.1678 1
< 0.1%
534144.2783 1
< 0.1%
534142.6672 1
< 0.1%
534142.1688 1
< 0.1%
534140.0494 1
< 0.1%
534137.7 1
< 0.1%
534135.2606 1
< 0.1%
534134.4268 1
< 0.1%
534130.2512 1
< 0.1%
534129.1942 1
< 0.1%

Sample

공간지리식별번호지형지물부호관리번호행정동읍면코드도엽번호관리기관코드도로구간번호가로등번호설치위치가로등배열방법등기구모형등주높이등주형식등주형상등주재질암길이등기구수량광원종류광원용량등간거리공사번호대장초기화여부설치일자가로등제어기관리번호위도경도
42324960AE1311003464143010200376122022AMNG0010<NA><NA>ARG000LSH0000.0PLT000PLF000PLM0000.00LCD00000.0<NA>0<NA>0196131.77526539.02
34974749AE13140534143010200376122024AMNG0010<NA><NA>ARG000LSH0000.0PLT000PLF000PLM0000.00LCD00000.0<NA>0<NA>0197096.2637526552.5451
46725091AE13111174143010800377091121DMNG1001032<NA>과천의왕간고속화도로ARG004LSH0020.0PLT000PLF001PLM0020.01LCD000029.799999<NA>1<NA>0200252.834531973.72
13101482AE1314794143010600377091122AMNG1001032<NA>과천의왕간고속화도로ARG003LSH0020.0PLT000PLF999PLM0020.01LCD000032.400002<NA>1<NA>0200469.873532212.4194
22402219AE1311022134143010900376121098DMNG00130018<NA>의왕시 포일동ARG003LSH9995.0PLT002PLF999PLM0011.02LCD99900.0<NA>1<NA>30002198909.228533478.743
92166067AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>196232.31525287.78
52313723AE1319111664143010600376121540BMNG001911002<NA><NA>ARG003LSH9999.0PLT001PLF999PLM0041.51LCD99900.0<NA>12018-01-010199916.3535531544.359
10981035AE13125104143010200376122044AMNG001950<NA>의왕고색간고속화도로ARG003LSH0020.0PLT000PLF001PLM0020.01LCD000036.799999<NA>1<NA>0197010.5276525539.7007
49665916AE13120073002044143010600377091152AMNG0012007300177백운지구LP-7 13<NA>ARG001LSH00710.0PLT002PLF999PLM0042.02LCD99900.0<NA>12017-12-310200458.057530507.375
57773473AE13131674143010300376122051DMNG0010중앙로샛길호수-2중앙로샛길ARG004LSH0020.0PLT000PLF999PLM0020.01LCD99940030.4<NA>11998-01-0113195995.8754524644.2027
공간지리식별번호지형지물부호관리번호행정동읍면코드도엽번호관리기관코드도로구간번호가로등번호설치위치가로등배열방법등기구모형등주높이등주형식등주형상등주재질암길이등기구수량광원종류광원용량등간거리공사번호대장초기화여부설치일자가로등제어기관리번호위도경도
65901510AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>199074.9532139.29
26832674AE1311424143010700376121517DMNG00159호수3포일로ARG003LSH0020.0PLT000PLF001PLM0020.01LCD00000.0<NA>11990-01-010198475.9218532511.2137
89848339AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>197350.14528484.41
14861447AE1311011774143010600377091121BMNG0000<NA><NA>ARG000LSH0000.0PLT000PLF000PLM0000.00LCD00000.0<NA>0<NA>0200407.12532060.64
915011563AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>195729.79522933.21
102276708AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>198300.83527829.37
90259157AE131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>197739.22530839.55
158304AE13129684143011000376122072DMNG001767덕성로길호수100덕성로ARG003LSH9990.0PLT000PLF999PLM0030.01LCD00240048.099998<NA>12002-01-0120196266.963523440.4285
691610AE13122974143010400376122016BMNG0011035<NA>의왕고색간고속화도로ARG004LSH0020.0PLT000PLF001PLM0020.01LCD000074.699997<NA>1<NA>0198162.6014527056.8237
52053275AE1319110684143010600377091123CMNG001911013<NA><NA>ARG003LSH9999.0PLT002PLF999PLM0041.52LCD99900.0<NA>12018-01-010200988.741531841.142