Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells161799
Missing cells (%)33.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory415.0 B

Variable types

Numeric9
DateTime4
Text13
Unsupported13
Boolean1
Categorical8

Dataset

Description국토지리정보원에서 대민서비스인 국토정보플랫폼에서 임시 측량기준점(통합기준점, 삼각점, 수준점 등)의 정보를 제공합니다.
Author국토교통부 국토지리정보원
URLhttps://www.data.go.kr/data/15122727/fileData.do

Alerts

기준점 관리기관 has constant value ""Constant
기준점 상태(0: 사업기준점, 1: 사용점) has constant value ""Constant
GPS측량가능여부 is highly imbalanced (75.5%)Imbalance
기준점 조사결과 is highly imbalanced (66.3%)Imbalance
기준점 재질 is highly imbalanced (63.3%)Imbalance
기준점 종류 is highly imbalanced (63.9%)Imbalance
기준타원체모델 is highly imbalanced (98.6%)Imbalance
기준점 검사일 has 6255 (62.5%) missing valuesMissing
기준점 검사자 has 6293 (62.9%) missing valuesMissing
선점일 has 1915 (19.1%) missing valuesMissing
선점자 has 1956 (19.6%) missing valuesMissing
기준점 설치자 has 10000 (100.0%) missing valuesMissing
GPS측량가능여부 has 1006 (10.1%) missing valuesMissing
지목 has 390 (3.9%) missing valuesMissing
기준점 등급 has 10000 (100.0%) missing valuesMissing
기준점 상태 has 10000 (100.0%) missing valuesMissing
기준점 위치설명 has 241 (2.4%) missing valuesMissing
기준점 소재지 지번 주소 has 10000 (100.0%) missing valuesMissing
기준점 설치일 has 550 (5.5%) missing valuesMissing
기준점 고시일 has 10000 (100.0%) missing valuesMissing
기준점 소재지 도로명 주소 has 10000 (100.0%) missing valuesMissing
기준점 관측일 has 1186 (11.9%) missing valuesMissing
기준점 고시번호 has 10000 (100.0%) missing valuesMissing
평면직각좌표X has 1163 (11.6%) missing valuesMissing
평면직각좌표Y has 1163 (11.6%) missing valuesMissing
기준점 명칭 영문 has 10000 (100.0%) missing valuesMissing
점유허가 시작일 has 10000 (100.0%) missing valuesMissing
점유허가 종료일 has 10000 (100.0%) missing valuesMissing
관측자명 has 328 (3.3%) missing valuesMissing
입력일 has 10000 (100.0%) missing valuesMissing
사업시행지역 has 4877 (48.8%) missing valuesMissing
사업년도 has 4419 (44.2%) missing valuesMissing
용역수행업체명 has 10000 (100.0%) missing valuesMissing
특이사항 has 10000 (100.0%) missing valuesMissing
기준점 설치자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 등급 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 상태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 소재지 지번 주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 고시일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 소재지 도로명 주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 고시번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준점 명칭 영문 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점유허가 시작일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
점유허가 종료일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입력일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
용역수행업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특이사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:50:46.743269
Analysis finished2023-12-12 12:50:49.773432
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업관리번호
Real number (ℝ)

Distinct182
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162243 × 109
Minimum2.01412 × 109
Maximum2.01711 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:49.870202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.01412 × 109
5-th percentile2.01504 × 109
Q12.0151 × 109
median2.01609 × 109
Q32.01703 × 109
95-th percentile2.0171 × 109
Maximum2.01711 × 109
Range2990000
Interquartile range (IQR)1930002

Descriptive statistics

Standard deviation858241.45
Coefficient of variation (CV)0.00042566765
Kurtosis-1.1138769
Mean2.0162243 × 109
Median Absolute Deviation (MAD)940000
Skewness-0.50459931
Sum2.0162243 × 1013
Variance7.3657839 × 1011
MonotonicityNot monotonic
2023-12-12T21:50:50.040914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2017030010 865
 
8.6%
2017030004 756
 
7.6%
2017030009 564
 
5.6%
2017100003 527
 
5.3%
2017030007 452
 
4.5%
2017030003 413
 
4.1%
2017030005 353
 
3.5%
2017030006 330
 
3.3%
2017030008 286
 
2.9%
2016040037 260
 
2.6%
Other values (172) 5194
51.9%
ValueCountFrequency (%)
2014120001 176
1.8%
2015040001 173
1.7%
2015040002 232
2.3%
2015040003 162
1.6%
2015040005 183
1.8%
2015040006 177
1.8%
2015040007 159
1.6%
2015040008 144
1.4%
2015040009 131
1.3%
2015040010 124
1.2%
ValueCountFrequency (%)
2017110001 1
 
< 0.1%
2017100003 527
5.3%
2017100002 1
 
< 0.1%
2017100001 2
 
< 0.1%
2017090002 3
 
< 0.1%
2017090001 3
 
< 0.1%
2017080002 2
 
< 0.1%
2017080001 2
 
< 0.1%
2017070003 2
 
< 0.1%
2017070002 2
 
< 0.1%

기준점식별자
Real number (ℝ)

Distinct1089
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3859543 × 1020
Minimum2.2015252 × 1019
Maximum5.2017252 × 1020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:50.383857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2015252 × 1019
5-th percentile5.2015252 × 1019
Q15.2008252 × 1020
median5.2012252 × 1020
Q35.2013252 × 1020
95-th percentile5.2017252 × 1020
Maximum5.2017252 × 1020
Range4.9815727 × 1020
Interquartile range (IQR)4.9999705 × 1016

Descriptive statistics

Standard deviation1.5746087 × 1020
Coefficient of variation (CV)0.35901164
Kurtosis0.76646263
Mean4.3859543 × 1020
Median Absolute Deviation (MAD)2.8999603 × 1016
Skewness-1.5596083
Sum4.3859543 × 1024
Variance2.4793925 × 1040
MonotonicityNot monotonic
2023-12-12T21:50:50.517399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.2013152051501e+20 115
 
1.1%
5.201625214150103e+20 111
 
1.1%
5.2013252142401e+20 110
 
1.1%
5.2013252142301e+20 103
 
1.0%
5.201525213040134e+19 103
 
1.0%
5.2013152011201e+20 101
 
1.0%
5.2013252130601e+20 99
 
1.0%
5.2013152012001e+20 99
 
1.0%
5.2013152011101e+20 98
 
1.0%
5.2012152050701e+20 95
 
0.9%
Other values (1079) 8966
89.7%
ValueCountFrequency (%)
2.201525210260134e+19 1
 
< 0.1%
5.201515201070135e+19 3
 
< 0.1%
5.201515201140135e+19 19
 
0.2%
5.201515201190134e+19 7
 
0.1%
5.201515201210134e+19 60
0.6%
5.201515201210135e+19 15
 
0.1%
5.201515201270134e+19 3
 
< 0.1%
5.201515202180135e+19 2
 
< 0.1%
5.201515202270135e+19 6
 
0.1%
5.201525205190135e+19 15
 
0.1%
ValueCountFrequency (%)
5.201725214250103e+20 4
 
< 0.1%
5.201725214230103e+20 4
 
< 0.1%
5.201725214210103e+20 5
 
0.1%
5.201725214190103e+20 2
 
< 0.1%
5.201725214180103e+20 2
 
< 0.1%
5.201725214170103e+20 3
 
< 0.1%
5.201725214150103e+20 8
0.1%
5.201725214140103e+20 6
0.1%
5.201725214130103e+20 14
0.1%
5.201725214120103e+20 1
 
< 0.1%

기준점 검사일
Date

MISSING 

Distinct318
Distinct (%)8.5%
Missing6255
Missing (%)62.5%
Memory size156.2 KiB
Minimum2015-04-13 00:00:00
Maximum2017-10-20 00:00:00
2023-12-12T21:50:50.639162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:50.775863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준점 검사자
Text

MISSING 

Distinct358
Distinct (%)9.7%
Missing6293
Missing (%)62.9%
Memory size156.2 KiB
2023-12-12T21:50:51.107001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9832749
Min length2

Characters and Unicode

Total characters11059
Distinct characters159
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)1.5%

Sample

1st row강태옥
2nd row김휘연
3rd row채강묵
4th row김병곤
5th row손복금
ValueCountFrequency (%)
박일영 233
 
6.3%
오정원 101
 
2.7%
이권진 99
 
2.7%
이동훈 85
 
2.3%
홍웅 76
 
2.1%
최의현 72
 
1.9%
엄태신 71
 
1.9%
박준호 68
 
1.8%
김진호 66
 
1.8%
박상훈 60
 
1.6%
Other values (347) 2776
74.9%
2023-12-12T21:50:51.623863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
738
 
6.7%
673
 
6.1%
518
 
4.7%
408
 
3.7%
392
 
3.5%
340
 
3.1%
328
 
3.0%
292
 
2.6%
286
 
2.6%
250
 
2.3%
Other values (149) 6834
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11039
99.8%
Space Separator 17
 
0.2%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
738
 
6.7%
673
 
6.1%
518
 
4.7%
408
 
3.7%
392
 
3.6%
340
 
3.1%
328
 
3.0%
292
 
2.6%
286
 
2.6%
250
 
2.3%
Other values (147) 6814
61.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Decimal Number
ValueCountFrequency (%)
6 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11039
99.8%
Common 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
738
 
6.7%
673
 
6.1%
518
 
4.7%
408
 
3.7%
392
 
3.6%
340
 
3.1%
328
 
3.0%
292
 
2.6%
286
 
2.6%
250
 
2.3%
Other values (147) 6814
61.7%
Common
ValueCountFrequency (%)
17
85.0%
6 3
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11039
99.8%
ASCII 20
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
738
 
6.7%
673
 
6.1%
518
 
4.7%
408
 
3.7%
392
 
3.6%
340
 
3.1%
328
 
3.0%
292
 
2.6%
286
 
2.6%
250
 
2.3%
Other values (147) 6814
61.7%
ASCII
ValueCountFrequency (%)
17
85.0%
6 3
 
15.0%

선점일
Date

MISSING 

Distinct570
Distinct (%)7.1%
Missing1915
Missing (%)19.1%
Memory size156.2 KiB
Minimum1990-05-01 00:00:00
Maximum2017-12-07 00:00:00
2023-12-12T21:50:51.778954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:51.925663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

선점자
Text

MISSING 

Distinct265
Distinct (%)3.3%
Missing1956
Missing (%)19.6%
Memory size156.2 KiB
2023-12-12T21:50:52.294817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1504227
Min length2

Characters and Unicode

Total characters25342
Distinct characters139
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row신상원
2nd row김명기
3rd row고대길
4th row오석환
5th row신창수
ValueCountFrequency (%)
최기균 461
 
5.0%
임두규 269
 
2.9%
장동인 235
 
2.5%
염준호 207
 
2.2%
오승섭 194
 
2.1%
박철진 189
 
2.0%
신상원 168
 
1.8%
139
 
1.5%
김철홍 138
 
1.5%
윤태일 136
 
1.5%
Other values (280) 7120
76.9%
2023-12-12T21:50:52.843369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1635
 
6.5%
1212
 
4.8%
856
 
3.4%
798
 
3.1%
755
 
3.0%
733
 
2.9%
653
 
2.6%
577
 
2.3%
490
 
1.9%
463
 
1.8%
Other values (129) 17170
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24130
95.2%
Space Separator 1212
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1635
 
6.8%
856
 
3.5%
798
 
3.3%
755
 
3.1%
733
 
3.0%
653
 
2.7%
577
 
2.4%
490
 
2.0%
463
 
1.9%
450
 
1.9%
Other values (128) 16720
69.3%
Space Separator
ValueCountFrequency (%)
1212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24130
95.2%
Common 1212
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1635
 
6.8%
856
 
3.5%
798
 
3.3%
755
 
3.1%
733
 
3.0%
653
 
2.7%
577
 
2.4%
490
 
2.0%
463
 
1.9%
450
 
1.9%
Other values (128) 16720
69.3%
Common
ValueCountFrequency (%)
1212
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24130
95.2%
ASCII 1212
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1635
 
6.8%
856
 
3.5%
798
 
3.3%
755
 
3.1%
733
 
3.0%
653
 
2.7%
577
 
2.4%
490
 
2.0%
463
 
1.9%
450
 
1.9%
Other values (128) 16720
69.3%
ASCII
ValueCountFrequency (%)
1212
100.0%

기준점 설치자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

GPS측량가능여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1006
Missing (%)10.1%
Memory size97.7 KiB
True
8628 
False
 
366
(Missing)
1006 
ValueCountFrequency (%)
True 8628
86.3%
False 366
 
3.7%
(Missing) 1006
 
10.1%
2023-12-12T21:50:52.960501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기준점 조사결과
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
INSPCT_RESULT_1
8273 
<NA>
1716 
INSPCT_RESULT_3
 
6
INSPCT_RESULT_7
 
5

Length

Max length15
Median length15
Mean length13.1124
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINSPCT_RESULT_1
2nd rowINSPCT_RESULT_1
3rd rowINSPCT_RESULT_1
4th rowINSPCT_RESULT_1
5th rowINSPCT_RESULT_1

Common Values

ValueCountFrequency (%)
INSPCT_RESULT_1 8273
82.7%
<NA> 1716
 
17.2%
INSPCT_RESULT_3 6
 
0.1%
INSPCT_RESULT_7 5
 
0.1%

Length

2023-12-12T21:50:53.078262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:53.187916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
inspct_result_1 8273
82.7%
na 1716
 
17.2%
inspct_result_3 6
 
0.1%
inspct_result_7 5
 
< 0.1%

지목
Text

MISSING 

Distinct66
Distinct (%)0.7%
Missing390
Missing (%)3.9%
Memory size156.2 KiB
2023-12-12T21:50:53.367397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.0648283
Min length1

Characters and Unicode

Total characters19843
Distinct characters48
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row도로
2nd row도로
3rd row도로
4th row학교용지
5th row학교용지
ValueCountFrequency (%)
도로 2728
27.9%
932
 
9.5%
학교용지 851
 
8.7%
임야 677
 
6.9%
590
 
6.0%
494
 
5.1%
하천 447
 
4.6%
잡종지 350
 
3.6%
유지 343
 
3.5%
공원 301
 
3.1%
Other values (52) 2058
21.1%
2023-12-12T21:50:53.726994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3101
15.6%
2877
14.5%
2252
11.3%
1100
 
5.5%
986
 
5.0%
935
 
4.7%
934
 
4.7%
829
 
4.2%
751
 
3.8%
698
 
3.5%
Other values (38) 5380
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19631
98.9%
Space Separator 208
 
1.0%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3101
15.8%
2877
14.7%
2252
11.5%
1100
 
5.6%
986
 
5.0%
935
 
4.8%
934
 
4.8%
829
 
4.2%
751
 
3.8%
698
 
3.6%
Other values (34) 5168
26.3%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
" 1
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19631
98.9%
Common 212
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3101
15.8%
2877
14.7%
2252
11.5%
1100
 
5.6%
986
 
5.0%
935
 
4.8%
934
 
4.8%
829
 
4.2%
751
 
3.8%
698
 
3.6%
Other values (34) 5168
26.3%
Common
ValueCountFrequency (%)
208
98.1%
- 2
 
0.9%
" 1
 
0.5%
0 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19631
98.9%
ASCII 212
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3101
15.8%
2877
14.7%
2252
11.5%
1100
 
5.6%
986
 
5.0%
935
 
4.8%
934
 
4.8%
829
 
4.2%
751
 
3.8%
698
 
3.6%
Other values (34) 5168
26.3%
ASCII
ValueCountFrequency (%)
208
98.1%
- 2
 
0.9%
" 1
 
0.5%
0 1
 
0.5%

원경
Text

Distinct5343
Distinct (%)53.5%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:50:54.016572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length88
Mean length74.708996
Min length20

Characters and Unicode

Total characters746567
Distinct characters120
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2149 ?
Unique (%)21.5%

Sample

1st row/GcpImage/UCP/0520132521423010014761/D20160400400520132521423010014761.jpg
2nd row/GcpImage/UCP/0520131520512010018241/D20170300030520131520512010018241_20171121161137.jpg
3rd row/GcpImage/UCP/0520171520601010354991/D20170300090520171520601010354991_20171102113052.jpg
4th row/GcpImage/UCP/0520091520209010007981/D20171000030520091520209010007981_20171212102029.jpg
5th row/GcpImage/UCP/0520091520602010010251/D20171000030520091520602010010251_20171212115730.jpg
ValueCountFrequency (%)
map/2520921/13/20121029a093116.jpg 6
 
0.1%
gcpimage/ucp/0520132521402010018061/d20150400050520132521402010018061.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349531/u아산35_원경.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349471/u아산29_원경.jpg 6
 
0.1%
gcpimage/ucp/0520122521415010013641/u관기02_원경.jpg 6
 
0.1%
map/2520921/13/20121029a093032.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349561/u아산38_원경.jpg 6
 
0.1%
gcpimage/ucp/0520082520925010002861/20161129123356_distant.jpg 5
 
0.1%
gcpimage/ucp/052015252130401349641/u아산46_원경.jpg 5
 
0.1%
gcpimage/ucp/0520082520926010002931/20170721114125_distant.jpg 5
 
0.1%
Other values (5333) 9936
99.4%
2023-12-12T21:50:54.464597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 164925
22.1%
1 116944
15.7%
2 90672
12.1%
5 53536
 
7.2%
/ 39177
 
5.2%
3 32453
 
4.3%
7 21067
 
2.8%
4 20289
 
2.7%
p 18728
 
2.5%
g 17822
 
2.4%
Other values (110) 170954
22.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540698
72.4%
Lowercase Letter 86646
 
11.6%
Uppercase Letter 59269
 
7.9%
Other Punctuation 49170
 
6.6%
Connector Punctuation 5867
 
0.8%
Other Letter 4790
 
0.6%
Dash Punctuation 123
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
628
13.1%
499
 
10.4%
409
 
8.5%
400
 
8.4%
400
 
8.4%
398
 
8.3%
398
 
8.3%
139
 
2.9%
125
 
2.6%
91
 
1.9%
Other values (60) 1303
27.2%
Lowercase Letter
ValueCountFrequency (%)
p 18728
21.6%
g 17822
20.6%
a 10378
12.0%
m 10043
11.6%
e 9149
10.6%
c 9143
10.6%
j 8049
9.3%
n 1087
 
1.3%
t 756
 
0.9%
i 449
 
0.5%
Other values (8) 1042
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
G 10391
17.5%
I 9396
15.9%
P 9174
15.5%
U 8867
15.0%
D 8379
14.1%
C 7916
13.4%
J 1252
 
2.1%
M 1219
 
2.1%
B 1219
 
2.1%
A 505
 
0.9%
Other values (6) 951
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 164925
30.5%
1 116944
21.6%
2 90672
16.8%
5 53536
 
9.9%
3 32453
 
6.0%
7 21067
 
3.9%
4 20289
 
3.8%
6 15660
 
2.9%
9 15547
 
2.9%
8 9605
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 39177
79.7%
. 9993
 
20.3%
Connector Punctuation
ValueCountFrequency (%)
_ 5867
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 595862
79.8%
Latin 145915
 
19.5%
Hangul 4790
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
628
13.1%
499
 
10.4%
409
 
8.5%
400
 
8.4%
400
 
8.4%
398
 
8.3%
398
 
8.3%
139
 
2.9%
125
 
2.6%
91
 
1.9%
Other values (60) 1303
27.2%
Latin
ValueCountFrequency (%)
p 18728
12.8%
g 17822
12.2%
G 10391
 
7.1%
a 10378
 
7.1%
m 10043
 
6.9%
I 9396
 
6.4%
P 9174
 
6.3%
e 9149
 
6.3%
c 9143
 
6.3%
U 8867
 
6.1%
Other values (24) 32824
22.5%
Common
ValueCountFrequency (%)
0 164925
27.7%
1 116944
19.6%
2 90672
15.2%
5 53536
 
9.0%
/ 39177
 
6.6%
3 32453
 
5.4%
7 21067
 
3.5%
4 20289
 
3.4%
6 15660
 
2.6%
9 15547
 
2.6%
Other values (6) 25592
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 741777
99.4%
Hangul 4790
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 164925
22.2%
1 116944
15.8%
2 90672
12.2%
5 53536
 
7.2%
/ 39177
 
5.3%
3 32453
 
4.4%
7 21067
 
2.8%
4 20289
 
2.7%
p 18728
 
2.5%
g 17822
 
2.4%
Other values (40) 166164
22.4%
Hangul
ValueCountFrequency (%)
628
13.1%
499
 
10.4%
409
 
8.5%
400
 
8.4%
400
 
8.4%
398
 
8.3%
398
 
8.3%
139
 
2.9%
125
 
2.6%
91
 
1.9%
Other values (60) 1303
27.2%

근경
Text

Distinct5340
Distinct (%)53.4%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:50:54.761557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length89
Mean length74.825578
Min length20

Characters and Unicode

Total characters747732
Distinct characters119
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2149 ?
Unique (%)21.5%

Sample

1st row/GcpImage/UCP/0520132521423010014761/C20160400400520132521423010014761.jpg
2nd row/GcpImage/UCP/0520131520512010018241/C20170300030520131520512010018241_20171121161137.jpg
3rd row/GcpImage/UCP/0520171520601010354991/C20170300090520171520601010354991_20171102113052.jpg
4th row/GcpImage/UCP/0520091520209010007981/C20171000030520091520209010007981_20171212102029.jpg
5th row/GcpImage/UCP/0520091520602010010251/20160407151911_close.jpg
ValueCountFrequency (%)
map/2520921/13/20121029a093116.jpg 6
 
0.1%
map/2520921/13/20121029a093032.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349471/u아산29_근경.jpg 6
 
0.1%
gcpimage/ucp/0520132521402010018061/c20150400050520132521402010018061.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349561/u아산38_근경.jpg 6
 
0.1%
gcpimage/ucp/052015252130401349531/u아산35_근경.jpg 6
 
0.1%
gcpimage/ucp/0520122521415010013641/u관기02_근경.jpg 6
 
0.1%
gcpimage/ucp/0520082520913010001501/20161031111510_close.jpg 5
 
0.1%
gcpimage/ucp/052015252130401349571/u아산39_근경.jpg 5
 
0.1%
map/2520928/13/20121029a093409.jpg 5
 
0.1%
Other values (5330) 9936
99.4%
2023-12-12T21:50:55.266283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165366
22.1%
1 117308
15.7%
2 91195
12.2%
5 53670
 
7.2%
/ 39221
 
5.2%
3 32537
 
4.4%
7 21277
 
2.8%
4 20427
 
2.7%
p 18451
 
2.5%
g 17593
 
2.4%
Other values (109) 170687
22.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 542563
72.6%
Lowercase Letter 85209
 
11.4%
Uppercase Letter 60146
 
8.0%
Other Punctuation 49214
 
6.6%
Connector Punctuation 5862
 
0.8%
Other Letter 4612
 
0.6%
Dash Punctuation 122
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
488
 
10.6%
487
 
10.6%
384
 
8.3%
375
 
8.1%
375
 
8.1%
373
 
8.1%
373
 
8.1%
141
 
3.1%
139
 
3.0%
125
 
2.7%
Other values (58) 1352
29.3%
Uppercase Letter
ValueCountFrequency (%)
C 16286
27.1%
G 10717
17.8%
P 9481
15.8%
I 9358
15.6%
U 8871
14.7%
J 1529
 
2.5%
B 1239
 
2.1%
M 1239
 
2.1%
A 394
 
0.7%
E 191
 
0.3%
Other values (8) 841
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
p 18451
21.7%
g 17593
20.6%
m 10044
11.8%
a 9995
11.7%
e 9579
11.2%
c 9573
11.2%
j 7944
9.3%
n 530
 
0.6%
l 403
 
0.5%
o 391
 
0.5%
Other values (7) 706
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 165366
30.5%
1 117308
21.6%
2 91195
16.8%
5 53670
 
9.9%
3 32537
 
6.0%
7 21277
 
3.9%
4 20427
 
3.8%
6 15726
 
2.9%
9 15494
 
2.9%
8 9563
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 39221
79.7%
. 9993
 
20.3%
Connector Punctuation
ValueCountFrequency (%)
_ 5862
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 597765
79.9%
Latin 145355
 
19.4%
Hangul 4612
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
488
 
10.6%
487
 
10.6%
384
 
8.3%
375
 
8.1%
375
 
8.1%
373
 
8.1%
373
 
8.1%
141
 
3.1%
139
 
3.0%
125
 
2.7%
Other values (58) 1352
29.3%
Latin
ValueCountFrequency (%)
p 18451
12.7%
g 17593
12.1%
C 16286
11.2%
G 10717
7.4%
m 10044
6.9%
a 9995
6.9%
e 9579
 
6.6%
c 9573
 
6.6%
P 9481
 
6.5%
I 9358
 
6.4%
Other values (25) 24278
16.7%
Common
ValueCountFrequency (%)
0 165366
27.7%
1 117308
19.6%
2 91195
15.3%
5 53670
 
9.0%
/ 39221
 
6.6%
3 32537
 
5.4%
7 21277
 
3.6%
4 20427
 
3.4%
6 15726
 
2.6%
9 15494
 
2.6%
Other values (6) 25544
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 743120
99.4%
Hangul 4612
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165366
22.3%
1 117308
15.8%
2 91195
12.3%
5 53670
 
7.2%
/ 39221
 
5.3%
3 32537
 
4.4%
7 21277
 
2.9%
4 20427
 
2.7%
p 18451
 
2.5%
g 17593
 
2.4%
Other values (41) 166075
22.3%
Hangul
ValueCountFrequency (%)
488
 
10.6%
487
 
10.6%
384
 
8.3%
375
 
8.1%
375
 
8.1%
373
 
8.1%
373
 
8.1%
141
 
3.1%
139
 
3.0%
125
 
2.7%
Other values (58) 1352
29.3%
Distinct4809
Distinct (%)48.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T21:50:55.657821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.7578273
Min length5

Characters and Unicode

Total characters57561
Distinct characters164
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1878 ?
Unique (%)18.8%

Sample

1st rowU김천14
2nd rowU도초01
3rd rowU복내45
4th rowU0801
5th rowU1028
ValueCountFrequency (%)
u안성14 10
 
0.1%
u성동06 9
 
0.1%
u장호원55 8
 
0.1%
u덕산25 8
 
0.1%
u남양09 8
 
0.1%
u이천99 8
 
0.1%
u여주91 8
 
0.1%
u성동04 8
 
0.1%
u홍성22 7
 
0.1%
u장호원32 7
 
0.1%
Other values (4799) 9916
99.2%
2023-12-12T21:50:56.140852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 8660
15.0%
0 8390
14.6%
1 5234
 
9.1%
- 3782
 
6.6%
2 3756
 
6.5%
3 2702
 
4.7%
4 2051
 
3.6%
5 1905
 
3.3%
6 1777
 
3.1%
8 1612
 
2.8%
Other values (154) 17692
30.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30615
53.2%
Other Letter 14490
25.2%
Uppercase Letter 8672
 
15.1%
Dash Punctuation 3782
 
6.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%
Decimal Number
ValueCountFrequency (%)
0 8390
27.4%
1 5234
17.1%
2 3756
12.3%
3 2702
 
8.8%
4 2051
 
6.7%
5 1905
 
6.2%
6 1777
 
5.8%
8 1612
 
5.3%
7 1599
 
5.2%
9 1589
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
U 8660
99.9%
B 6
 
0.1%
M 6
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 3782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34399
59.8%
Hangul 14490
25.2%
Latin 8672
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%
Common
ValueCountFrequency (%)
0 8390
24.4%
1 5234
15.2%
- 3782
11.0%
2 3756
10.9%
3 2702
 
7.9%
4 2051
 
6.0%
5 1905
 
5.5%
6 1777
 
5.2%
8 1612
 
4.7%
7 1599
 
4.6%
Other values (3) 1591
 
4.6%
Latin
ValueCountFrequency (%)
U 8660
99.9%
B 6
 
0.1%
M 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43071
74.8%
Hangul 14490
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 8660
20.1%
0 8390
19.5%
1 5234
12.2%
- 3782
8.8%
2 3756
8.7%
3 2702
 
6.3%
4 2051
 
4.8%
5 1905
 
4.4%
6 1777
 
4.1%
8 1612
 
3.7%
Other values (6) 3202
 
7.4%
Hangul
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%

기준점 재질
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
CTRLPNT_FORM_2
8006 
CTRLPNT_FORM_4
1979 
<NA>
 
14
CTRLPNT_FORM_1
 
1

Length

Max length14
Median length14
Mean length13.986
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowCTRLPNT_FORM_2
2nd rowCTRLPNT_FORM_2
3rd rowCTRLPNT_FORM_2
4th rowCTRLPNT_FORM_4
5th rowCTRLPNT_FORM_4

Common Values

ValueCountFrequency (%)
CTRLPNT_FORM_2 8006
80.1%
CTRLPNT_FORM_4 1979
 
19.8%
<NA> 14
 
0.1%
CTRLPNT_FORM_1 1
 
< 0.1%

Length

2023-12-12T21:50:56.275556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:56.364855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ctrlpnt_form_2 8006
80.1%
ctrlpnt_form_4 1979
 
19.8%
na 14
 
0.1%
ctrlpnt_form_1 1
 
< 0.1%

기준점 등급
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 상태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국토지리정보원
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국토지리정보원 10000
100.0%

Length

2023-12-12T21:50:56.463408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:56.545327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국토지리정보원 10000
100.0%
Distinct4879
Distinct (%)50.0%
Missing241
Missing (%)2.4%
Memory size156.2 KiB
2023-12-12T21:50:56.784772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length194
Median length131
Mean length70.365714
Min length10

Characters and Unicode

Total characters686699
Distinct characters800
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1929 ?
Unique (%)19.8%

Sample

1st row59번 국도 배시내 삼거리에서 감포교 지나 신촌리 방면 약 1.0km 지점 공쌍마을 버스정류장이 위치하고, 버스정류장 뒷편 공쌍쉼터 우측 화단에 위치함
2nd row주원염전 앞 삼거리 중앙 화단
3rd row복내면사무소에서 미력면 방향으로 약 2.5km지점, 계동버스정류장 옆 공지에 위치함.
4th row가조중학교 본관 앞 좌측 화단에 위치함.
5th row순천시 서면사무소 앞 삼거리에서 국도 17호선을 따라 순천시청 방향으로 약 1km 지점 동산초교가 있다. 동산초교 운동장 좌측 수돗가 옆 화단에 위치함.
ValueCountFrequency (%)
위치함 7715
 
5.0%
6128
 
4.0%
화단에 3818
 
2.5%
지점 3146
 
2.0%
따라 3134
 
2.0%
방향으로 2464
 
1.6%
우측 2242
 
1.5%
좌측 2126
 
1.4%
1890
 
1.2%
1843
 
1.2%
Other values (19169) 119562
77.6%
2023-12-12T21:50:57.317261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145164
 
21.1%
20677
 
3.0%
. 17281
 
2.5%
14140
 
2.1%
12819
 
1.9%
11810
 
1.7%
11246
 
1.6%
10950
 
1.6%
10383
 
1.5%
10285
 
1.5%
Other values (790) 421944
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459833
67.0%
Space Separator 145164
 
21.1%
Decimal Number 39857
 
5.8%
Other Punctuation 19002
 
2.8%
Lowercase Letter 13901
 
2.0%
Uppercase Letter 3646
 
0.5%
Dash Punctuation 2000
 
0.3%
Close Punctuation 1584
 
0.2%
Open Punctuation 1572
 
0.2%
Other Symbol 66
 
< 0.1%
Other values (7) 74
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20677
 
4.5%
14140
 
3.1%
12819
 
2.8%
11810
 
2.6%
11246
 
2.4%
10950
 
2.4%
10383
 
2.3%
10285
 
2.2%
10144
 
2.2%
9210
 
2.0%
Other values (714) 338169
73.5%
Uppercase Letter
ValueCountFrequency (%)
K 924
25.3%
M 667
18.3%
C 480
13.2%
B 412
11.3%
I 380
10.4%
S 170
 
4.7%
G 92
 
2.5%
U 75
 
2.1%
L 71
 
1.9%
O 69
 
1.9%
Other values (15) 306
 
8.4%
Lowercase Letter
ValueCountFrequency (%)
m 9069
65.2%
k 4740
34.1%
i 18
 
0.1%
l 14
 
0.1%
c 12
 
0.1%
o 12
 
0.1%
t 10
 
0.1%
p 4
 
< 0.1%
q 4
 
< 0.1%
s 4
 
< 0.1%
Other values (4) 14
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 17281
90.9%
, 1216
 
6.4%
" 312
 
1.6%
' 97
 
0.5%
/ 26
 
0.1%
? 24
 
0.1%
· 14
 
0.1%
12
 
0.1%
& 8
 
< 0.1%
! 4
 
< 0.1%
Other values (2) 8
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 9466
23.7%
1 6598
16.6%
2 4970
12.5%
3 4209
10.6%
5 3478
 
8.7%
4 2918
 
7.3%
7 2342
 
5.9%
6 2077
 
5.2%
9 1992
 
5.0%
8 1807
 
4.5%
Other Symbol
ValueCountFrequency (%)
56
84.8%
10
 
15.2%
Math Symbol
ValueCountFrequency (%)
~ 16
84.2%
3
 
15.8%
Other Number
ValueCountFrequency (%)
6
50.0%
6
50.0%
Space Separator
ValueCountFrequency (%)
145164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1584
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1572
100.0%
Control
ValueCountFrequency (%)
16
100.0%
Final Punctuation
ValueCountFrequency (%)
12
100.0%
Initial Punctuation
ValueCountFrequency (%)
12
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459889
67.0%
Common 209261
30.5%
Latin 17549
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20677
 
4.5%
14140
 
3.1%
12819
 
2.8%
11810
 
2.6%
11246
 
2.4%
10950
 
2.4%
10383
 
2.3%
10285
 
2.2%
10144
 
2.2%
9210
 
2.0%
Other values (715) 338225
73.5%
Latin
ValueCountFrequency (%)
m 9069
51.7%
k 4740
27.0%
K 924
 
5.3%
M 667
 
3.8%
C 480
 
2.7%
B 412
 
2.3%
I 380
 
2.2%
S 170
 
1.0%
G 92
 
0.5%
U 75
 
0.4%
Other values (30) 540
 
3.1%
Common
ValueCountFrequency (%)
145164
69.4%
. 17281
 
8.3%
0 9466
 
4.5%
1 6598
 
3.2%
2 4970
 
2.4%
3 4209
 
2.0%
5 3478
 
1.7%
4 2918
 
1.4%
7 2342
 
1.1%
6 2077
 
1.0%
Other values (25) 10758
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459824
67.0%
ASCII 226733
33.0%
None 82
 
< 0.1%
Punctuation 24
 
< 0.1%
Enclosed Alphanum 12
 
< 0.1%
CJK Compat 10
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Arrows 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145164
64.0%
. 17281
 
7.6%
0 9466
 
4.2%
m 9069
 
4.0%
1 6598
 
2.9%
2 4970
 
2.2%
k 4740
 
2.1%
3 4209
 
1.9%
5 3478
 
1.5%
4 2918
 
1.3%
Other values (56) 18840
 
8.3%
Hangul
ValueCountFrequency (%)
20677
 
4.5%
14140
 
3.1%
12819
 
2.8%
11810
 
2.6%
11246
 
2.4%
10950
 
2.4%
10383
 
2.3%
10285
 
2.2%
10144
 
2.2%
9210
 
2.0%
Other values (710) 338160
73.5%
None
ValueCountFrequency (%)
56
68.3%
· 14
 
17.1%
12
 
14.6%
Punctuation
ValueCountFrequency (%)
12
50.0%
12
50.0%
CJK Compat
ValueCountFrequency (%)
10
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
6
50.0%
6
50.0%
Compat Jamo
ValueCountFrequency (%)
4
44.4%
3
33.3%
1
 
11.1%
1
 
11.1%
Arrows
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

기준점 소재지 지번 주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 설치일
Date

MISSING 

Distinct1201
Distinct (%)12.7%
Missing550
Missing (%)5.5%
Memory size156.2 KiB
Minimum1967-03-17 00:00:00
Maximum2017-11-15 00:00:00
2023-12-12T21:50:57.457971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:57.598859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준점 고시일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 소재지 도로명 주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 관측일
Date

MISSING 

Distinct1321
Distinct (%)15.0%
Missing1186
Missing (%)11.9%
Memory size156.2 KiB
Minimum2000-06-01 00:00:00
Maximum2017-11-16 00:00:00
2023-12-12T21:50:57.742632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:57.860079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준점 고시번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

기준점 종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5
8659 
2
1338 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.0009
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 8659
86.6%
2 1338
 
13.4%
<NA> 3
 
< 0.1%

Length

2023-12-12T21:50:57.981445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:58.140095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 8659
86.6%
2 1338
 
13.4%
na 3
 
< 0.1%

도엽코드
Real number (ℝ)

Distinct201
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2115408.6
Minimum1520103
Maximum2521428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:58.274991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1520103
5-th percentile1520113
Q11520220
median2520913
Q32521306
95-th percentile2521417
Maximum2521428
Range1001325
Interquartile range (IQR)1001086

Descriptive statistics

Standard deviation491406.85
Coefficient of variation (CV)0.23229879
Kurtosis-1.8518224
Mean2115408.6
Median Absolute Deviation (MAD)497
Skewness-0.38541757
Sum2.1154086 × 1010
Variance2.4148069 × 1011
MonotonicityNot monotonic
2023-12-12T21:50:58.408720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2521305 181
 
1.8%
2521304 181
 
1.8%
1520515 171
 
1.7%
2521415 163
 
1.6%
2521306 161
 
1.6%
1520120 143
 
1.4%
2521423 140
 
1.4%
1520507 138
 
1.4%
1520112 135
 
1.4%
1520111 135
 
1.4%
Other values (191) 8452
84.5%
ValueCountFrequency (%)
1520103 5
 
0.1%
1520104 12
 
0.1%
1520105 34
 
0.3%
1520106 32
 
0.3%
1520107 19
 
0.2%
1520109 2
 
< 0.1%
1520110 91
0.9%
1520111 135
1.4%
1520112 135
1.4%
1520113 103
1.0%
ValueCountFrequency (%)
2521428 3
 
< 0.1%
2521426 1
 
< 0.1%
2521425 19
 
0.2%
2521424 130
1.3%
2521423 140
1.4%
2521422 109
1.1%
2521421 17
 
0.2%
2521420 3
 
< 0.1%
2521419 17
 
0.2%
2521418 13
 
0.1%

평면직각좌표X
Real number (ℝ)

MISSING 

Distinct3533
Distinct (%)40.0%
Missing1163
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean413424.92
Minimum68853.114
Maximum650665.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:58.913740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68853.114
5-th percentile221964.18
Q1321275.96
median433487.1
Q3508623.64
95-th percentile579732.07
Maximum650665.73
Range581812.62
Interquartile range (IQR)187347.68

Descriptive statistics

Standard deviation118814.88
Coefficient of variation (CV)0.28739166
Kurtosis-0.31181229
Mean413424.92
Median Absolute Deviation (MAD)94355.148
Skewness-0.45828131
Sum3.6534361 × 109
Variance1.4116975 × 1010
MonotonicityNot monotonic
2023-12-12T21:50:59.066312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
513459.5391 10
 
0.1%
565408.153 9
 
0.1%
518836.7475 8
 
0.1%
572206.1728 8
 
0.1%
515054.2452 8
 
0.1%
464100.3856 8
 
0.1%
518365.831 8
 
0.1%
502232.293 8
 
0.1%
429676.8471 7
 
0.1%
562291.1671 7
 
0.1%
Other values (3523) 8756
87.6%
(Missing) 1163
 
11.6%
ValueCountFrequency (%)
68853.1139 3
< 0.1%
70475.6049 2
< 0.1%
70998.4784 1
 
< 0.1%
71957.5393 1
 
< 0.1%
72696.3812 3
< 0.1%
73078.2658 2
< 0.1%
73963.8115 1
 
< 0.1%
74045.7006 2
< 0.1%
74801.3367 1
 
< 0.1%
75228.45 2
< 0.1%
ValueCountFrequency (%)
650665.7324 2
< 0.1%
649087.0369 3
< 0.1%
647165.0057 3
< 0.1%
640590.3534 2
< 0.1%
633928.2513 3
< 0.1%
633378.2859 3
< 0.1%
633265.8993 2
< 0.1%
633194.6925 2
< 0.1%
633183.6165 1
 
< 0.1%
632458.8798 2
< 0.1%

평면직각좌표Y
Real number (ℝ)

MISSING 

Distinct3534
Distinct (%)40.0%
Missing1163
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean196529.21
Minimum109223.6
Maximum338698.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:59.209880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109223.6
5-th percentile123962.04
Q1158585.45
median194544.98
Q3231293.98
95-th percentile278145.84
Maximum338698.53
Range229474.93
Interquartile range (IQR)72708.525

Descriptive statistics

Standard deviation46553.954
Coefficient of variation (CV)0.23688059
Kurtosis-0.85930923
Mean196529.21
Median Absolute Deviation (MAD)36408.434
Skewness0.17574502
Sum1.7367286 × 109
Variance2.1672707 × 109
MonotonicityNot monotonic
2023-12-12T21:50:59.457763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230435.8372 10
 
0.1%
218160.5675 9
 
0.1%
218428.763 8
 
0.1%
254583.7281 8
 
0.1%
246107.8199 8
 
0.1%
198735.4886 8
 
0.1%
132531.2265 8
 
0.1%
240752.9797 8
 
0.1%
249259.9327 7
 
0.1%
211289.2927 7
 
0.1%
Other values (3524) 8756
87.6%
(Missing) 1163
 
11.6%
ValueCountFrequency (%)
109223.596 2
< 0.1%
109744.9021 2
< 0.1%
110285.5097 1
 
< 0.1%
110349.4534 2
< 0.1%
110511.7533 3
< 0.1%
110620.5472 2
< 0.1%
110677.9461 3
< 0.1%
110695.5423 2
< 0.1%
110733.0587 2
< 0.1%
110828.933 3
< 0.1%
ValueCountFrequency (%)
338698.5281 2
 
< 0.1%
335495.306 2
 
< 0.1%
309419.1857 2
 
< 0.1%
301625.5964 1
 
< 0.1%
291166.8778 1
 
< 0.1%
290615.9678 2
 
< 0.1%
290568.2326 2
 
< 0.1%
289968.0617 2
 
< 0.1%
289643.0901 3
< 0.1%
289411.2469 5
0.1%
Distinct4809
Distinct (%)48.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T21:50:59.861093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.7578273
Min length5

Characters and Unicode

Total characters57561
Distinct characters164
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1878 ?
Unique (%)18.8%

Sample

1st rowU김천14
2nd rowU도초01
3rd rowU복내45
4th rowU0801
5th rowU1028
ValueCountFrequency (%)
u안성14 10
 
0.1%
u성동06 9
 
0.1%
u장호원55 8
 
0.1%
u덕산25 8
 
0.1%
u남양09 8
 
0.1%
u이천99 8
 
0.1%
u여주91 8
 
0.1%
u성동04 8
 
0.1%
u홍성22 7
 
0.1%
u장호원32 7
 
0.1%
Other values (4799) 9916
99.2%
2023-12-12T21:51:00.507601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 8660
15.0%
0 8390
14.6%
1 5234
 
9.1%
- 3782
 
6.6%
2 3756
 
6.5%
3 2702
 
4.7%
4 2051
 
3.6%
5 1905
 
3.3%
6 1777
 
3.1%
8 1612
 
2.8%
Other values (154) 17692
30.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30615
53.2%
Other Letter 14490
25.2%
Uppercase Letter 8672
 
15.1%
Dash Punctuation 3782
 
6.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%
Decimal Number
ValueCountFrequency (%)
0 8390
27.4%
1 5234
17.1%
2 3756
12.3%
3 2702
 
8.8%
4 2051
 
6.7%
5 1905
 
6.2%
6 1777
 
5.8%
8 1612
 
5.3%
7 1599
 
5.2%
9 1589
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
U 8660
99.9%
B 6
 
0.1%
M 6
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 3782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34399
59.8%
Hangul 14490
25.2%
Latin 8672
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%
Common
ValueCountFrequency (%)
0 8390
24.4%
1 5234
15.2%
- 3782
11.0%
2 3756
10.9%
3 2702
 
7.9%
4 2051
 
6.0%
5 1905
 
5.5%
6 1777
 
5.2%
8 1612
 
4.7%
7 1599
 
4.6%
Other values (3) 1591
 
4.6%
Latin
ValueCountFrequency (%)
U 8660
99.9%
B 6
 
0.1%
M 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43071
74.8%
Hangul 14490
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 8660
20.1%
0 8390
19.5%
1 5234
12.2%
- 3782
8.8%
2 3756
8.7%
3 2702
 
6.3%
4 2051
 
4.8%
5 1905
 
4.4%
6 1777
 
4.1%
8 1612
 
3.7%
Other values (6) 3202
 
7.4%
Hangul
ValueCountFrequency (%)
801
 
5.5%
679
 
4.7%
615
 
4.2%
556
 
3.8%
529
 
3.7%
498
 
3.4%
390
 
2.7%
370
 
2.6%
314
 
2.2%
292
 
2.0%
Other values (138) 9446
65.2%

기준타원체모델
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
REFRNC_ELLIP_2
9987 
<NA>
 
13

Length

Max length14
Median length14
Mean length13.987
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowREFRNC_ELLIP_2
2nd rowREFRNC_ELLIP_2
3rd rowREFRNC_ELLIP_2
4th rowREFRNC_ELLIP_2
5th rowREFRNC_ELLIP_2

Common Values

ValueCountFrequency (%)
REFRNC_ELLIP_2 9987
99.9%
<NA> 13
 
0.1%

Length

2023-12-12T21:51:00.657720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:00.790011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
refrnc_ellip_2 9987
99.9%
na 13
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
PRJCTN_ORIGIN_2
6454 
PRJCTN_ORIGIN_3
2733 
<NA>
791 
PRJCTN_ORIGIN_1
 
19
PRJCTN_ORIGIN_4
 
3

Length

Max length15
Median length15
Mean length14.1299
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRJCTN_ORIGIN_3
2nd rowPRJCTN_ORIGIN_1
3rd row<NA>
4th rowPRJCTN_ORIGIN_3
5th rowPRJCTN_ORIGIN_2

Common Values

ValueCountFrequency (%)
PRJCTN_ORIGIN_2 6454
64.5%
PRJCTN_ORIGIN_3 2733
27.3%
<NA> 791
 
7.9%
PRJCTN_ORIGIN_1 19
 
0.2%
PRJCTN_ORIGIN_4 3
 
< 0.1%

Length

2023-12-12T21:51:00.926821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:01.044225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
prjctn_origin_2 6454
64.5%
prjctn_origin_3 2733
27.3%
na 791
 
7.9%
prjctn_origin_1 19
 
0.2%
prjctn_origin_4 3
 
< 0.1%

위도
Text

Distinct4941
Distinct (%)49.4%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:51:01.390651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.115581
Min length6

Characters and Unicode

Total characters131064
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1861 ?
Unique (%)18.6%

Sample

1st row36 11 00.73195
2nd row34 43 45.19658
3rd row34 52 34.70184
4th row35 42 43.78526
5th row34 59 37.06688
ValueCountFrequency (%)
36 3309
 
11.0%
35 3026
 
10.1%
37 2738
 
9.1%
34 1171
 
3.9%
33 486
 
1.6%
38 384
 
1.3%
31 262
 
0.9%
29 227
 
0.8%
28 219
 
0.7%
47 212
 
0.7%
Other values (4303) 17945
59.9%
2023-12-12T21:51:01.920031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19986
15.2%
3 19872
15.2%
5 12418
9.5%
4 10507
8.0%
2 9961
7.6%
. 9908
7.6%
1 9555
7.3%
6 9251
7.1%
7 8811
6.7%
0 8098
6.2%
Other values (2) 12697
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101170
77.2%
Space Separator 19986
 
15.2%
Other Punctuation 9908
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19872
19.6%
5 12418
12.3%
4 10507
10.4%
2 9961
9.8%
1 9555
9.4%
6 9251
9.1%
7 8811
8.7%
0 8098
8.0%
8 6445
 
6.4%
9 6252
 
6.2%
Space Separator
ValueCountFrequency (%)
19986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9908
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 131064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
19986
15.2%
3 19872
15.2%
5 12418
9.5%
4 10507
8.0%
2 9961
7.6%
. 9908
7.6%
1 9555
7.3%
6 9251
7.1%
7 8811
6.7%
0 8098
6.2%
Other values (2) 12697
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 131064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19986
15.2%
3 19872
15.2%
5 12418
9.5%
4 10507
8.0%
2 9961
7.6%
. 9908
7.6%
1 9555
7.3%
6 9251
7.1%
7 8811
6.7%
0 8098
6.2%
Other values (2) 12697
9.7%

경도
Text

Distinct4945
Distinct (%)49.5%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:51:02.310918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.10037
Min length7

Characters and Unicode

Total characters140905
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1868 ?
Unique (%)18.7%

Sample

1st row128 13 52.42306
2nd row125 55 59.38420
3rd row127 06 53.31772
4th row128 00 54.42112
5th row127 29 34.28111
ValueCountFrequency (%)
127 3749
 
12.5%
126 3183
 
10.6%
128 2362
 
7.9%
129 676
 
2.3%
29 233
 
0.8%
57 219
 
0.7%
27 216
 
0.7%
23 215
 
0.7%
38 208
 
0.7%
26 198
 
0.7%
Other values (4293) 18720
62.4%
2023-12-12T21:51:02.850536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19986
14.2%
2 19692
14.0%
1 19483
13.8%
7 10009
7.1%
. 9905
7.0%
5 9720
6.9%
4 9627
6.8%
3 9444
6.7%
6 9321
6.6%
8 8570
6.1%
Other values (2) 15148
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 111014
78.8%
Space Separator 19986
 
14.2%
Other Punctuation 9905
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19692
17.7%
1 19483
17.6%
7 10009
9.0%
5 9720
8.8%
4 9627
8.7%
3 9444
8.5%
6 9321
8.4%
8 8570
7.7%
0 8328
7.5%
9 6820
 
6.1%
Space Separator
ValueCountFrequency (%)
19986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
19986
14.2%
2 19692
14.0%
1 19483
13.8%
7 10009
7.1%
. 9905
7.0%
5 9720
6.9%
4 9627
6.8%
3 9444
6.7%
6 9321
6.6%
8 8570
6.1%
Other values (2) 15148
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19986
14.2%
2 19692
14.0%
1 19483
13.8%
7 10009
7.1%
. 9905
7.0%
5 9720
6.9%
4 9627
6.8%
3 9444
6.7%
6 9321
6.6%
8 8570
6.1%
Other values (2) 15148
10.8%

포인트 X
Real number (ℝ)

Distinct4906
Distinct (%)49.1%
Missing7
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1005091.4
Minimum717345.25
Maximum1296777.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:03.022266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum717345.25
5-th percentile900448.85
Q1942567.56
median994451.48
Q31063211.2
95-th percentile1141886.7
Maximum1296777.8
Range579432.54
Interquartile range (IQR)120643.65

Descriptive statistics

Standard deviation76135.333
Coefficient of variation (CV)0.075749664
Kurtosis-0.77521243
Mean1005091.4
Median Absolute Deviation (MAD)57506.651
Skewness0.37079464
Sum1.0043878 × 1010
Variance5.7965889 × 109
MonotonicityNot monotonic
2023-12-12T21:51:03.202237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
986063.9499 10
 
0.1%
954384.8765 8
 
0.1%
1001755.07 8
 
0.1%
996405.0574 8
 
0.1%
1010142.141 8
 
0.1%
952132.0612 7
 
0.1%
926115.5393 7
 
0.1%
1076354.595 7
 
0.1%
992012.2782 7
 
0.1%
996592.8909 7
 
0.1%
Other values (4896) 9916
99.2%
ValueCountFrequency (%)
717345.2516 1
 
< 0.1%
753126.7241 2
< 0.1%
855910.1519 2
< 0.1%
856547.7368 3
< 0.1%
857774.1502 1
 
< 0.1%
858545.6086 3
< 0.1%
859195.3609 3
< 0.1%
860873.0623 3
< 0.1%
860938.0761 2
< 0.1%
864656.7968 2
< 0.1%
ValueCountFrequency (%)
1296777.788 3
< 0.1%
1225161.259 1
 
< 0.1%
1178302.267 1
 
< 0.1%
1177471.168 2
< 0.1%
1177443.891 1
 
< 0.1%
1177225.858 1
 
< 0.1%
1177105.946 3
< 0.1%
1176919.728 2
< 0.1%
1176684.798 1
 
< 0.1%
1176565.357 1
 
< 0.1%

포인트 Y
Real number (ℝ)

Distinct4891
Distinct (%)48.9%
Missing7
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1807021.7
Minimum1393139.1
Maximum2050848.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:03.365541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1393139.1
5-th percentile1615889.3
Q11718279.7
median1824892.2
Q31903063
95-th percentile1976940.1
Maximum2050848.6
Range657709.5
Interquartile range (IQR)184783.29

Descriptive statistics

Standard deviation120617.57
Coefficient of variation (CV)0.066749374
Kurtosis-0.25661772
Mean1807021.7
Median Absolute Deviation (MAD)94261.138
Skewness-0.46109009
Sum1.8057567 × 1010
Variance1.4548597 × 1010
MonotonicityNot monotonic
2023-12-12T21:51:03.534403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1913450.641 10
 
0.1%
1902101.026 8
 
0.1%
1918272.083 8
 
0.1%
1915211.995 8
 
0.1%
1918771.078 8
 
0.1%
1966218.23 7
 
0.1%
1990281.345 7
 
0.1%
1915464.071 7
 
0.1%
1836791.714 7
 
0.1%
1908521.563 7
 
0.1%
Other values (4881) 9916
99.2%
ValueCountFrequency (%)
1393139.118 1
 
< 0.1%
1469505.148 3
< 0.1%
1471034.439 2
< 0.1%
1471096.014 1
 
< 0.1%
1471660.225 1
 
< 0.1%
1471943.953 1
 
< 0.1%
1472556.943 1
 
< 0.1%
1473186.45 1
 
< 0.1%
1473230.713 3
< 0.1%
1473663.576 1
 
< 0.1%
ValueCountFrequency (%)
2050848.617 2
< 0.1%
2049312.359 3
< 0.1%
2047337.004 3
< 0.1%
2044334.396 3
< 0.1%
2041985.427 1
 
< 0.1%
2040826.721 2
< 0.1%
2033842.222 3
< 0.1%
2033350.602 3
< 0.1%
2033271.059 2
< 0.1%
2033188.612 1
 
< 0.1%

지자체코드
Real number (ℝ)

Distinct243
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3621439 × 109
Minimum1.111 × 109
Maximum5.013 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:03.707628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile2.871 × 109
Q14.219 × 109
median4.479 × 109
Q34.69 × 109
95-th percentile4.885 × 109
Maximum5.013 × 109
Range3.902 × 109
Interquartile range (IQR)4.71 × 108

Descriptive statistics

Standard deviation5.7546548 × 108
Coefficient of variation (CV)0.13192263
Kurtosis9.9476324
Mean4.3621439 × 109
Median Absolute Deviation (MAD)2.34 × 108
Skewness-2.7906823
Sum4.3621439 × 1013
Variance3.3116052 × 1017
MonotonicityNot monotonic
2023-12-12T21:51:03.885529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4420000000 241
 
2.4%
4519000000 224
 
2.2%
4682000000 185
 
1.8%
4150000000 177
 
1.8%
4373000000 175
 
1.8%
5011000000 171
 
1.7%
4725000000 169
 
1.7%
4715000000 161
 
1.6%
4728000000 144
 
1.4%
4518000000 142
 
1.4%
Other values (233) 8211
82.1%
ValueCountFrequency (%)
1111000000 3
< 0.1%
1114000000 5
0.1%
1117000000 6
0.1%
1120000000 1
 
< 0.1%
1123000000 5
0.1%
1126000000 3
< 0.1%
1129000000 1
 
< 0.1%
1130500000 3
< 0.1%
1132000000 4
< 0.1%
1138000000 5
0.1%
ValueCountFrequency (%)
5013000000 135
1.4%
5011000000 171
1.7%
4889000000 60
 
0.6%
4888000000 35
 
0.4%
4887000000 20
 
0.2%
4886000000 50
 
0.5%
4885000000 35
 
0.4%
4884000000 40
 
0.4%
4882000000 4
 
< 0.1%
4874000000 62
 
0.6%

약도
Text

Distinct5084
Distinct (%)50.9%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:51:04.225775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length88
Mean length68.856171
Min length11

Characters and Unicode

Total characters687942
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2033 ?
Unique (%)20.3%

Sample

1st row/GcpImage/UCP/0520132521423010014761/O20160400400520132521423010014761.jpg
2nd row/GcpImage/UCP/0520131520512010018241/O20170300030520131520512010018241_20171121161137.jpg
3rd row/GcpImage/UCP/0520171520601010354991/O20170300090520171520601010354991_20171102113052.jpg
4th row/map/unify/U0801_SKT_201001291726034.jpg
5th row/map/unify/U1028_SKT_201001291712206.jpg
ValueCountFrequency (%)
gcpimage/ucp/0520122520912010021731/o20150400080520122520912010021731.jpg 9
 
0.1%
gcpimage/ucp/0520122520912010021711/o20150400080520122520912010021711.jpg 8
 
0.1%
gcpimage/ucp/0520122520912010021781/o20150400080520122520912010021781.jpg 7
 
0.1%
gcpimage/ucp/0520122521310010036051/o20160400490520122521310010036051.png 7
 
0.1%
gcpimage/ucp/0520122520910010015051/o20150400110520122520910010015051.jpg 7
 
0.1%
gcpimage/ucp/0520122520910010015021/o20150400110520122520910010015021.jpg 7
 
0.1%
gcpimage/ucp/052015252130401349561/u아산38_약도.jpg 6
 
0.1%
map/2013/u해남09_약도.jpg 6
 
0.1%
gcpimage/ucp/0520082520912010001491/o20150400080520082520912010001491.jpg 6
 
0.1%
map/2013/u와도05_약도.jpg 6
 
0.1%
Other values (5075) 9925
99.3%
2023-12-12T21:51:04.674389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 147244
21.4%
1 104602
15.2%
2 83198
12.1%
5 48310
 
7.0%
/ 37466
 
5.4%
3 28995
 
4.2%
p 19330
 
2.8%
4 19018
 
2.8%
7 18450
 
2.7%
g 17399
 
2.5%
Other values (132) 163930
23.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 487184
70.8%
Lowercase Letter 86331
 
12.5%
Uppercase Letter 54032
 
7.9%
Other Punctuation 47451
 
6.9%
Connector Punctuation 6775
 
1.0%
Other Letter 5906
 
0.9%
Dash Punctuation 260
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1551
26.3%
1458
24.7%
176
 
3.0%
159
 
2.7%
123
 
2.1%
117
 
2.0%
104
 
1.8%
103
 
1.7%
102
 
1.7%
99
 
1.7%
Other values (83) 1914
32.4%
Lowercase Letter
ValueCountFrequency (%)
p 19330
22.4%
g 17399
20.2%
a 9993
11.6%
m 9993
11.6%
j 8717
10.1%
e 8078
9.4%
c 8076
9.4%
n 1416
 
1.6%
f 797
 
0.9%
i 797
 
0.9%
Other values (8) 1735
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
U 9155
16.9%
G 8699
16.1%
I 8058
14.9%
O 7544
14.0%
P 7539
14.0%
C 6837
12.7%
M 1283
 
2.4%
B 1223
 
2.3%
T 994
 
1.8%
K 935
 
1.7%
Other values (6) 1765
 
3.3%
Decimal Number
ValueCountFrequency (%)
0 147244
30.2%
1 104602
21.5%
2 83198
17.1%
5 48310
 
9.9%
3 28995
 
6.0%
4 19018
 
3.9%
7 18450
 
3.8%
6 14099
 
2.9%
9 13991
 
2.9%
8 9277
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 37466
79.0%
. 9985
 
21.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541673
78.7%
Latin 140363
 
20.4%
Hangul 5906
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1551
26.3%
1458
24.7%
176
 
3.0%
159
 
2.7%
123
 
2.1%
117
 
2.0%
104
 
1.8%
103
 
1.7%
102
 
1.7%
99
 
1.7%
Other values (83) 1914
32.4%
Latin
ValueCountFrequency (%)
p 19330
13.8%
g 17399
12.4%
a 9993
 
7.1%
m 9993
 
7.1%
U 9155
 
6.5%
j 8717
 
6.2%
G 8699
 
6.2%
e 8078
 
5.8%
c 8076
 
5.8%
I 8058
 
5.7%
Other values (24) 32865
23.4%
Common
ValueCountFrequency (%)
0 147244
27.2%
1 104602
19.3%
2 83198
15.4%
5 48310
 
8.9%
/ 37466
 
6.9%
3 28995
 
5.4%
4 19018
 
3.5%
7 18450
 
3.4%
6 14099
 
2.6%
9 13991
 
2.6%
Other values (5) 26300
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682036
99.1%
Hangul 5906
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 147244
21.6%
1 104602
15.3%
2 83198
12.2%
5 48310
 
7.1%
/ 37466
 
5.5%
3 28995
 
4.3%
p 19330
 
2.8%
4 19018
 
2.8%
7 18450
 
2.7%
g 17399
 
2.6%
Other values (39) 158024
23.2%
Hangul
ValueCountFrequency (%)
1551
26.3%
1458
24.7%
176
 
3.0%
159
 
2.7%
123
 
2.1%
117
 
2.0%
104
 
1.8%
103
 
1.7%
102
 
1.7%
99
 
1.7%
Other values (83) 1914
32.4%

기준점 명칭 영문
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T21:51:04.823525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:04.925146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

점유허가 시작일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

점유허가 종료일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

관측자명
Text

MISSING 

Distinct580
Distinct (%)6.0%
Missing328
Missing (%)3.3%
Memory size156.2 KiB
2023-12-12T21:51:05.273544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0719603
Min length2

Characters and Unicode

Total characters29712
Distinct characters173
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)0.6%

Sample

1st row김경열
2nd row김명기
3rd row최용수
4th row윤성기
5th row김경만
ValueCountFrequency (%)
최달성 354
 
3.4%
강성구 321
 
3.1%
박규태 280
 
2.7%
박일영 279
 
2.7%
박정식 240
 
2.3%
이주성 239
 
2.3%
박철진 189
 
1.8%
이재철 169
 
1.6%
정인식 168
 
1.6%
박덕주 166
 
1.6%
Other values (584) 7976
76.8%
2023-12-12T21:51:05.871083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1673
 
5.6%
1581
 
5.3%
1414
 
4.8%
1297
 
4.4%
834
 
2.8%
827
 
2.8%
768
 
2.6%
677
 
2.3%
664
 
2.2%
634
 
2.1%
Other values (163) 19343
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28943
97.4%
Space Separator 768
 
2.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1673
 
5.8%
1581
 
5.5%
1414
 
4.9%
1297
 
4.5%
834
 
2.9%
827
 
2.9%
677
 
2.3%
664
 
2.3%
634
 
2.2%
600
 
2.1%
Other values (161) 18742
64.8%
Space Separator
ValueCountFrequency (%)
768
100.0%
Other Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28943
97.4%
Common 769
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1673
 
5.8%
1581
 
5.5%
1414
 
4.9%
1297
 
4.5%
834
 
2.9%
827
 
2.9%
677
 
2.3%
664
 
2.3%
634
 
2.2%
600
 
2.1%
Other values (161) 18742
64.8%
Common
ValueCountFrequency (%)
768
99.9%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28943
97.4%
ASCII 768
 
2.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1673
 
5.8%
1581
 
5.5%
1414
 
4.9%
1297
 
4.5%
834
 
2.9%
827
 
2.9%
677
 
2.3%
664
 
2.3%
634
 
2.2%
600
 
2.1%
Other values (161) 18742
64.8%
ASCII
ValueCountFrequency (%)
768
100.0%
None
ValueCountFrequency (%)
1
100.0%

관측 종류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
OBSR_TY_1
3065 
OBSR_TY_2
3021 
OBSR_TY_3
2575 
<NA>
1339 

Length

Max length9
Median length9
Mean length8.3305
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOBSR_TY_3
2nd rowOBSR_TY_3
3rd rowOBSR_TY_3
4th rowOBSR_TY_1
5th rowOBSR_TY_2

Common Values

ValueCountFrequency (%)
OBSR_TY_1 3065
30.6%
OBSR_TY_2 3021
30.2%
OBSR_TY_3 2575
25.8%
<NA> 1339
13.4%

Length

2023-12-12T21:51:06.047040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:06.177590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
obsr_ty_1 3065
30.6%
obsr_ty_2 3021
30.2%
obsr_ty_3 2575
25.8%
na 1339
13.4%

입력일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

사업시행지역
Text

MISSING 

Distinct246
Distinct (%)4.8%
Missing4877
Missing (%)48.8%
Memory size156.2 KiB
2023-12-12T21:51:06.562114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.1516689
Min length2

Characters and Unicode

Total characters26392
Distinct characters166
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.5%

Sample

1st row김천지구
2nd row제주지구
3rd row전라지구
4th row임실
5th row왜관
ValueCountFrequency (%)
아산지구 396
 
6.4%
제주지구 384
 
6.2%
통합기준점높이측량(목포지구 247
 
4.0%
통합기준점 228
 
3.7%
갈담지구 212
 
3.4%
김천지구 198
 
3.2%
남원 173
 
2.8%
전라남도 171
 
2.8%
부안 169
 
2.7%
강원도 156
 
2.5%
Other values (232) 3841
62.2%
2023-12-12T21:51:07.135815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2834
 
10.7%
2719
 
10.3%
1052
 
4.0%
892
 
3.4%
816
 
3.1%
754
 
2.9%
752
 
2.8%
719
 
2.7%
702
 
2.7%
606
 
2.3%
Other values (156) 14546
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24277
92.0%
Space Separator 1052
 
4.0%
Open Punctuation 483
 
1.8%
Close Punctuation 483
 
1.8%
Decimal Number 55
 
0.2%
Dash Punctuation 20
 
0.1%
Other Punctuation 14
 
0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2834
 
11.7%
2719
 
11.2%
892
 
3.7%
816
 
3.4%
754
 
3.1%
752
 
3.1%
719
 
3.0%
702
 
2.9%
606
 
2.5%
565
 
2.3%
Other values (142) 12918
53.2%
Decimal Number
ValueCountFrequency (%)
1 20
36.4%
5 14
25.5%
0 12
21.8%
3 5
 
9.1%
2 3
 
5.5%
9 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
U 6
75.0%
B 1
 
12.5%
M 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1052
100.0%
Open Punctuation
ValueCountFrequency (%)
( 483
100.0%
Close Punctuation
ValueCountFrequency (%)
) 483
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24277
92.0%
Common 2107
 
8.0%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2834
 
11.7%
2719
 
11.2%
892
 
3.7%
816
 
3.4%
754
 
3.1%
752
 
3.1%
719
 
3.0%
702
 
2.9%
606
 
2.5%
565
 
2.3%
Other values (142) 12918
53.2%
Common
ValueCountFrequency (%)
1052
49.9%
( 483
22.9%
) 483
22.9%
1 20
 
0.9%
- 20
 
0.9%
5 14
 
0.7%
/ 14
 
0.7%
0 12
 
0.6%
3 5
 
0.2%
2 3
 
0.1%
Latin
ValueCountFrequency (%)
U 6
75.0%
B 1
 
12.5%
M 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24277
92.0%
ASCII 2115
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2834
 
11.7%
2719
 
11.2%
892
 
3.7%
816
 
3.4%
754
 
3.1%
752
 
3.1%
719
 
3.0%
702
 
2.9%
606
 
2.5%
565
 
2.3%
Other values (142) 12918
53.2%
ASCII
ValueCountFrequency (%)
1052
49.7%
( 483
22.8%
) 483
22.8%
1 20
 
0.9%
- 20
 
0.9%
5 14
 
0.7%
/ 14
 
0.7%
0 12
 
0.6%
U 6
 
0.3%
3 5
 
0.2%
Other values (4) 6
 
0.3%

사업년도
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)0.2%
Missing4419
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean2015.5277
Minimum2003
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:51:07.271671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2013
Q12015
median2016
Q32017
95-th percentile2017
Maximum2017
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4846269
Coefficient of variation (CV)0.00073659464
Kurtosis5.0861498
Mean2015.5277
Median Absolute Deviation (MAD)1
Skewness-1.7812523
Sum11248660
Variance2.204117
MonotonicityNot monotonic
2023-12-12T21:51:07.402587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2016 2213
22.1%
2017 1412
 
14.1%
2015 841
 
8.4%
2014 595
 
5.9%
2013 292
 
2.9%
2012 157
 
1.6%
2009 54
 
0.5%
2008 9
 
0.1%
2010 5
 
0.1%
2006 2
 
< 0.1%
(Missing) 4419
44.2%
ValueCountFrequency (%)
2003 1
 
< 0.1%
2006 2
 
< 0.1%
2008 9
 
0.1%
2009 54
 
0.5%
2010 5
 
0.1%
2012 157
 
1.6%
2013 292
 
2.9%
2014 595
 
5.9%
2015 841
 
8.4%
2016 2213
22.1%
ValueCountFrequency (%)
2017 1412
14.1%
2016 2213
22.1%
2015 841
 
8.4%
2014 595
 
5.9%
2013 292
 
2.9%
2012 157
 
1.6%
2010 5
 
0.1%
2009 54
 
0.5%
2008 9
 
0.1%
2006 2
 
< 0.1%

용역수행업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

특이사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

사업관리번호기준점식별자기준점 검사일기준점 검사자선점일선점자기준점 설치자GPS측량가능여부기준점 조사결과지목원경근경점의명칭기준점 재질기준점 등급기준점 상태기준점 관리기관기준점 위치설명기준점 소재지 지번 주소기준점 설치일기준점 고시일기준점 소재지 도로명 주소기준점 관측일기준점 고시번호기준점 종류도엽코드평면직각좌표X평면직각좌표Y기준점 번호기준타원체모델평면직각좌표 투영원점위도경도포인트 X포인트 Y지자체코드약도기준점 명칭 영문기준점 상태(0: 사업기준점, 1: 사용점)점유허가 시작일점유허가 종료일관측자명관측 종류입력일사업시행지역사업년도용역수행업체명특이사항
1237320160400400520132521423010014761<NA><NA>2013-03-26신상원<NA>YINSPCT_RESULT_1도로/GcpImage/UCP/0520132521423010014761/D20160400400520132521423010014761.jpg/GcpImage/UCP/0520132521423010014761/C20160400400520132521423010014761.jpgU김천14CTRLPNT_FORM_2<NA><NA>국토지리정보원59번 국도 배시내 삼거리에서 감포교 지나 신촌리 방면 약 1.0km 지점 공쌍마을 버스정류장이 위치하고, 버스정류장 뒷편 공쌍쉼터 우측 화단에 위치함<NA>2013-05-22<NA><NA>2013-07-19<NA>52521423398683.9184130845.0721U김천14REFRNC_ELLIP_2PRJCTN_ORIGIN_336 11 00.73195128 13 52.423061065751.3971798738.3554715000000/GcpImage/UCP/0520132521423010014761/O20160400400520132521423010014761.jpg<NA>0<NA><NA>김경열OBSR_TY_3<NA>김천지구2016<NA><NA>
13388201703000305201315205120100182412016-11-26강태옥2013-03-03김명기<NA>YINSPCT_RESULT_1도로/GcpImage/UCP/0520131520512010018241/D20170300030520131520512010018241_20171121161137.jpg/GcpImage/UCP/0520131520512010018241/C20170300030520131520512010018241_20171121161137.jpgU도초01CTRLPNT_FORM_2<NA><NA>국토지리정보원주원염전 앞 삼거리 중앙 화단<NA>2013-05-22<NA><NA>2013-06-21<NA>51520512237451.7341285467.6871U도초01REFRNC_ELLIP_2PRJCTN_ORIGIN_134 43 45.19658125 55 59.38420856547.73681638317.9884691000000/GcpImage/UCP/0520131520512010018241/O20170300030520131520512010018241_20171121161137.jpg<NA>0<NA><NA>김명기OBSR_TY_3<NA>제주지구2017<NA><NA>
1256320170300090520171520601010354991<NA><NA>2017-04-21고대길<NA>YINSPCT_RESULT_1도로/GcpImage/UCP/0520171520601010354991/D20170300090520171520601010354991_20171102113052.jpg/GcpImage/UCP/0520171520601010354991/C20170300090520171520601010354991_20171102113052.jpgU복내45CTRLPNT_FORM_2<NA><NA>국토지리정보원복내면사무소에서 미력면 방향으로 약 2.5km지점, 계동버스정류장 옆 공지에 위치함.<NA>2017-06-05<NA><NA>2017-06-27<NA>51520601253378.36210496.5884U복내45REFRNC_ELLIP_2<NA>34 52 34.70184127 06 53.31772964797.91421653578.6594678000000/GcpImage/UCP/0520171520601010354991/O20170300090520171520601010354991_20171102113052.jpg<NA>0<NA><NA>최용수OBSR_TY_3<NA>전라지구2017<NA><NA>
6229201710000305200915202090100079812016-10-07김휘연2009-04-01오석환<NA>YINSPCT_RESULT_1학교용지/GcpImage/UCP/0520091520209010007981/D20171000030520091520209010007981_20171212102029.jpg/GcpImage/UCP/0520091520209010007981/C20171000030520091520209010007981_20171212102029.jpgU0801CTRLPNT_FORM_4<NA><NA>국토지리정보원가조중학교 본관 앞 좌측 화단에 위치함.<NA>2009-06-11<NA><NA><NA><NA>51520209346554.4116110876.3348U0801REFRNC_ELLIP_2PRJCTN_ORIGIN_335 42 43.78526128 00 54.421121046594.5911746331.0854888000000/map/unify/U0801_SKT_201001291726034.jpg<NA>0<NA><NA>윤성기OBSR_TY_1<NA><NA><NA><NA><NA>
9753201710000305200915206020100102512016-04-04채강묵2009-03-10신창수<NA>YINSPCT_RESULT_1학교용지/GcpImage/UCP/0520091520602010010251/D20171000030520091520602010010251_20171212115730.jpg/GcpImage/UCP/0520091520602010010251/20160407151911_close.jpgU1028CTRLPNT_FORM_4<NA><NA>국토지리정보원순천시 서면사무소 앞 삼거리에서 국도 17호선을 따라 순천시청 방향으로 약 1km 지점 동산초교가 있다. 동산초교 운동장 좌측 수돗가 옆 화단에 위치함.<NA>2009-05-18<NA><NA><NA><NA>51520602266499.1424244995.5879U1028REFRNC_ELLIP_2PRJCTN_ORIGIN_234 59 37.06688127 29 34.28111999348.03521666521.6254615000000/map/unify/U1028_SKT_201001291712206.jpg<NA>0<NA><NA>김경만OBSR_TY_2<NA><NA><NA><NA><NA>
9752201710000305200915206010100102112017-03-22김병곤2009-03-27신창수<NA>YINSPCT_RESULT_1임야/GcpImage/UCP/0520091520601010010211/D20171000030520091520601010010211_20171212115617.jpg/GcpImage/UCP/0520091520601010010211/20170323132322_close.jpgU1024CTRLPNT_FORM_4<NA><NA>국토지리정보원전남 보성군 용암삼거리에서 15번 국도를 따라 화순군 방면으로 가다보면, 우측에 와이즈멘동산이 있다. 와이즈멘 동산 조형물 부근 잔디밭에 위치함.<NA>2009-06-11<NA><NA><NA><NA>51520601263233.1548217078.2458U1024REFRNC_ELLIP_2PRJCTN_ORIGIN_234 57 54.16905127 11 13.20361971426.13441663396.6244678000000/map/unify/U1024_SKT_201001291712987.jpg<NA>0<NA><NA>김연한OBSR_TY_2<NA><NA><NA><NA><NA>
1118120160900020520091520113010007811<NA><NA>2009-03-25오석환<NA>YINSPCT_RESULT_1학교용지/GcpImage/UCP/0520091520113010007811/D20160900020520091520113010007811.jpg/GcpImage/UCP/0520091520113010007811/C20160900020520091520113010007811.jpgU0784CTRLPNT_FORM_2<NA><NA>국토지리정보원임실군 성수면사무소에서 30번 국도 백운면 방면으로 약 100m 지점 삼거리에서 우측으로 100m 이동하면 좌측에 성수중학교가 있다. 성수중학교 본관 건물 좌측 뒷편 정화조 옆에 위치함.<NA>2009-06-16<NA><NA><NA><NA>51520113337014.3942230399.8288U0784REFRNC_ELLIP_2PRJCTN_ORIGIN_235 37 47.07337127 20 08.16116985114.09081737080.1854575000000/GcpImage/UCP/0520091520113010007811/O20160900020520091520113010007811.jpg<NA>0<NA><NA>윤경일OBSR_TY_3<NA>임실2016<NA><NA>
13504201609000305201215202030100267412016-09-01손복금2012-04-03이승환<NA>YINSPCT_RESULT_1/GcpImage/UCP/0520121520203010026741/D20160900030520121520203010026741.jpg/GcpImage/UCP/0520121520203010026741/C20160900030520121520203010026741.jpgU왜관03CTRLPNT_FORM_2<NA><NA>국토지리정보원칠곡군 기산면사무소에서 서쪽 봉산리 방향으로 약 5.2km 지점 경북과학대학교를 지나 봉산리보건진료소에서 서쪽으로 약 50m 더 가면 봉산1교 앞 삼거리 화단에 위치함.<NA>2012-06-04<NA><NA>2012-09-22<NA>51520203377496.7509140182.046U왜관03REFRNC_ELLIP_2PRJCTN_ORIGIN_335 59 35.62073128 20 11.846521075410.2171777705.8924785000000/GcpImage/UCP/0520121520203010026741/O20160900030520121520203010026741.jpg<NA>0<NA><NA>조기정OBSR_TY_3<NA>왜관2016<NA><NA>
8082201609000305201215202030100268212016-10-10김태연2012-04-07김성호<NA>YINSPCT_RESULT_1/GcpImage/UCP/0520121520203010026821/D20160900030520121520203010026821.jpg/GcpImage/UCP/0520121520203010026821/C20160900030520121520203010026821.jpgU왜관11CTRLPNT_FORM_2<NA><NA>국토지리정보원달성군 하빈면사무소에서 지천면 방향으로 약 0.6km 가면 국립식량과학원 대구시험지가 나온다. 이곳 식량과학원 본관 앞 화단에 위치함.<NA>2012-06-07<NA><NA>2012-08-22<NA>51520203367810.9011150063.7208U왜관11REFRNC_ELLIP_2PRJCTN_ORIGIN_335 54 23.38238128 26 48.533111085436.0091768176.4722771000000/GcpImage/UCP/0520121520203010026821/O20160900030520121520203010026821.jpg<NA>0<NA><NA>조기정OBSR_TY_2<NA>왜관2016<NA><NA>
896820170300070520092521426010006531<NA><NA>2009-04-04장동인<NA>YINSPCT_RESULT_1/GcpImage/UCP/0520092521426010006531/D20170300070520092521426010006531_20171117000725.jpg/GcpImage/UCP/0520092521426010006531/C20170300070520092521426010006531_20171117000725.jpgU0656CTRLPNT_FORM_2<NA><NA>국토지리정보원68번 지방도변, 춘산중학교 좌측 백엽상 앞에 위치함.<NA>2009-06-09<NA><NA><NA><NA>52521426404495.3787183265.159U0656REFRNC_ELLIP_2PRJCTN_ORIGIN_336 14 17.63989128 48 49.800431118058.6591805357.764773000000/GcpImage/UCP/0520092521426010006531/O20170300070520092521426010006531_20171117000725.jpg<NA>0<NA><NA>강필성OBSR_TY_2<NA><NA><NA><NA><NA>
사업관리번호기준점식별자기준점 검사일기준점 검사자선점일선점자기준점 설치자GPS측량가능여부기준점 조사결과지목원경근경점의명칭기준점 재질기준점 등급기준점 상태기준점 관리기관기준점 위치설명기준점 소재지 지번 주소기준점 설치일기준점 고시일기준점 소재지 도로명 주소기준점 관측일기준점 고시번호기준점 종류도엽코드평면직각좌표X평면직각좌표Y기준점 번호기준타원체모델평면직각좌표 투영원점위도경도포인트 X포인트 Y지자체코드약도기준점 명칭 영문기준점 상태(0: 사업기준점, 1: 사용점)점유허가 시작일점유허가 종료일관측자명관측 종류입력일사업시행지역사업년도용역수행업체명특이사항
1242620170300040520082521416010005741<NA><NA>2008-09-23최 득 화<NA>YINSPCT_RESULT_1잡종지/GcpImage/UCP/0520082521416010005741/D20170300040520082521416010005741_20171129143526.jpg/GcpImage/UCP/0520082521416010005741/C20170300040520082521416010005741_20171129143526.jpgU0576CTRLPNT_FORM_2<NA><NA>국토지리정보원상판 저수지 입구 천지 상판 휴게소 옆 화단에 위치함.<NA>2008-10-13<NA><NA>2008-11-15<NA>52521416411578.7857111903.6421U0576REFRNC_ELLIP_2PRJCTN_ORIGIN_336 17 53.48605128 01 09.255151046621.0281811333.014725000000/GcpImage/UCP/0520082521416010005741/O20170300040520082521416010005741_20171204165403.jpg<NA>0<NA><NA>최 승 인OBSR_TY_3<NA><NA><NA><NA><NA>
1795201504000205201325213070100280712015-04-23박일영2013-05-07임두규<NA>YINSPCT_RESULT_1도로/GcpImage/UCP/0520132521307010028071/D20150400020520132521307010028071.JPG/GcpImage/UCP/0520132521307010028071/C20150400020520132521307010028071.JPGU음성26CTRLPNT_FORM_2<NA><NA>국토지리정보원석성초등학교에서 지방도 511호선을 따라 증평IC 방면으로 약 1.4km 가면 석성마을 입구 삼거리가 나온다. 삼거리에서 좌측 약 20m 지점 공지에 위치함.<NA>2013-06-20<NA><NA>2015-06-27<NA>52521307462428.1678245430.6097U음성26REFRNC_ELLIP_2PRJCTN_ORIGIN_236 45 33.6834127 30 31.63881000784.4281862362.5634311000000/GcpImage/UCP/0520132521307010028071/O20150400020520132521307010028071.jpg<NA>0<NA><NA>박일영OBSR_TY_1<NA>청주시2015<NA><NA>
103422015040003052015252130401349681<NA><NA>2014-04-24최기균<NA>Y<NA>/GcpImage/UCP/052015252130401349681/U아산50_원경.jpg/GcpImage/UCP/052015252130401349681/U아산50_근경.jpgU아산50CTRLPNT_FORM_2<NA><NA>국토지리정보원<NA><NA><NA><NA><NA>2014-08-07<NA>52521304462933.0696186881.1943U아산50REFRNC_ELLIP_2PRJCTN_ORIGIN_236 45 53.6521126 51 11.0455942261.46991863172.9394420000000/GcpImage/UCP/052015252130401349681/U아산50_약도.jpg<NA>0<NA><NA>최달성OBSR_TY_3<NA>아산지구2014<NA><NA>
8480201703000305201015205210100112612016-08-18박준호2010-04-21김광윤<NA>YINSPCT_RESULT_1학교용지/GcpImage/UCP/0520101520521010011261/D20170300030520101520521010011261_20171122172850.jpg/GcpImage/UCP/0520101520521010011261/C20170300030520101520521010011261_20171122172850.jpgU1129CTRLPNT_FORM_2<NA><NA>국토지리정보원전라남도 진도군 조도면 창유리에 위치한 조도초등학교 본관 뒤 관사 부근 공지에 위치함.<NA>2010-06-18<NA><NA><NA><NA>51520521189366.8565112364.0057U1129REFRNC_ELLIP_2PRJCTN_ORIGIN_234 17 44.28252126 02 53.18911866381.93781590075.1064690000000/GcpImage/UCP/0520101520521010011261/O20170300030520101520521010011261_20171122172850.jpg<NA>0<NA><NA>김민철OBSR_TY_2<NA>제주지구2017<NA><NA>
1065020150400070520132521015010027781<NA><NA>2013-05-07민세종<NA><NA>INSPCT_RESULT_1공원/GcpImage/UCP/0520132521015010027781/D20150400070520132521015010027781.JPG/GcpImage/UCP/0520132521015010027781/C20150400070520132521015010027781.JPGU원주43CTRLPNT_FORM_4<NA><NA>국토지리정보원춘천지방검찰청원주지청 앞 도로(시청로)건너편 근린공원 정자옆 공지에 위치함.<NA>2013-06-10<NA><NA>2013-09-03<NA>52521015526423.7012282639.4828U원주43REFRNC_ELLIP_2PRJCTN_ORIGIN_237 20 0.302127 55 56.95751038312.5221926133.1424213000000/GcpImage/UCP/0520132521015010027781/O20150400070520132521015010027781.jpg<NA>0<NA><NA>권승민OBSR_TY_3<NA><NA><NA><NA><NA>
538120170300090520171520125010355371<NA><NA>2017-05-07고대길<NA>YINSPCT_RESULT_1도로/GcpImage/UCP/0520171520125010355371/D20170300090520171520125010355371_20171102093628.jpg/GcpImage/UCP/0520171520125010355371/C20170300090520171520125010355371_20171102093628.JPGU광주37CTRLPNT_FORM_2<NA><NA>국토지리정보원송원고등학교에서 서부농수산물도매시장 방향 약 400m지점 운리마을 버스정류장 뒷편 공터에 위치함.<NA>2017-05-30<NA><NA>2017-06-21<NA>51520125279968.7566187899.9561U광주37REFRNC_ELLIP_2PRJCTN_ORIGIN_235 06 57.48908126 52 02.15299942343.03851680271.8472914000000/GcpImage/UCP/0520171520125010355371/O20170300090520171520125010355371_20171102093628.jpg<NA>0<NA><NA>김영만OBSR_TY_1<NA>전라지구2017<NA><NA>
1125720160400480520132521424010014201<NA><NA>2013-03-28이경주<NA>YINSPCT_RESULT_1/GcpImage/UCP/0520132521424010014201/D20160400480520132521424010014201.jpg/GcpImage/UCP/0520132521424010014201/C20160400480520132521424010014201.jpgU구미24CTRLPNT_FORM_2<NA><NA>국토지리정보원514번 지방도 세무소네거리에서 코오롱네거리 방면 구미세무소가 있다. 세무서 출입구 옆 화단 녹지에 위치.<NA>2013-06-21<NA><NA>2013-07-23<NA>52521424390555.0874144561.3519U구미24REFRNC_ELLIP_2PRJCTN_ORIGIN_336 06 40.19402128 23 03.377971079586.2751790825.3384719000000/map/2013/U구미24_약도.jpg<NA>0<NA><NA>박규태OBSR_TY_3<NA>경상북도 구미시2016<NA><NA>
13182201703000805201215202190100196712016-10-26박상훈2012-05-08송국현<NA>YINSPCT_RESULT_1하천/GcpImage/UCP/0520121520219010019671/D20170300080520121520219010019671_20171103115324.jpg/GcpImage/UCP/0520121520219010019671/C20170300080520121520219010019671_20171103115324.jpgU밀양22CTRLPNT_FORM_2<NA><NA>국토지리정보원김해시 진영읍에서 한림면 방향 14번 국도로 설창 삼거리 앞 교통섬 화단에 위치.<NA>2012-07-07<NA><NA>2012-10-05<NA>51520219299964.8464178454.6053U밀양22REFRNC_ELLIP_2PRJCTN_ORIGIN_335 17 45.76281128 45 47.263471114849.0291700790.6854825000000/GcpImage/UCP/0520121520219010019671/O20170300080520121520219010019671_20171103115324.jpg<NA>0<NA><NA>곽창호OBSR_TY_3<NA><NA><NA><NA><NA>
116382014120001052016252101801351491<NA><NA>2014-04-21이문우<NA>Y<NA>도로/GcpImage/UCP/052016252101801351491/D2014120001052016252101801351491.png/GcpImage/UCP/052016252101801351491/C2014120001052016252101801351491.JPGU정선28CTRLPNT_FORM_2<NA><NA>국토지리정보원정선읍 가수리 소재의 정선초등학교 가수분교에서 귤암리 캠핑장 방면으로 동강로 3.0km 직진하면 도착함. 귤암리 동강숲속갤러리 나무명판 옆 콘크리트 옹벽 시작지점 화단에 위치함.<NA>2014-06-04<NA><NA>2014-10-18<NA>52521018526124.6919165755.0831U정선28REFRNC_ELLIP_2PRJCTN_ORIGIN_337 20 1.5606128 36 48.89271098648.9811926665.6594277000000/GcpImage/UCP/052016252101801351491/O2014120001052016252101801351491.png<NA>0<NA><NA>박규태OBSR_TY_3<NA>강원도 정선군2014<NA><NA>
100520150400070520132521008010036201<NA><NA>2013-05-08김태성<NA><NA>INSPCT_RESULT_1하천/GcpImage/UCP/0520132521008010036201/D20150400070520132521008010036201.JPG/GcpImage/UCP/0520132521008010036201/C20150400070520132521008010036201.JPGU홍천12CTRLPNT_FORM_4<NA><NA>국토지리정보원홍천저수지에서 444지방도 동면 방향으로 약 1.8Km 가면 삼거리가 나오는데 신봉리 신봉로쪽으로 약 3Km 가면 동봉사가 나오는데 동봉사 지나 200m지점 우측 소공원 운동기구 옆 녹지에 위치함.<NA>2013-06-29<NA><NA>2013-08-30<NA>52521008566898.9289286306.5076U홍천12REFRNC_ELLIP_2PRJCTN_ORIGIN_237 41 51.7709127 58 42.99981042192.7961966569.3814272000000/GcpImage/UCP/0520132521008010036201/O20150400070520132521008010036201.jpg<NA>0<NA><NA>김태성OBSR_TY_1<NA><NA><NA><NA><NA>