Overview

Dataset statistics

Number of variables36
Number of observations500
Missing cells1385
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory320.3 B

Variable types

Numeric27
Text2
Categorical6
Unsupported1

Dataset

Description샘플 데이터
Author서울시
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=30

Alerts

건물_구분_코드(BULD_SE_CD) has constant value ""Constant
리_코드(LI_CD) has constant value ""Constant
건물_종속_구분_코드(BULD_DPNDCY_SE_CD) is highly imbalanced (85.9%)Imbalance
산_여부(MNTN_AT) is highly imbalanced (96.2%)Imbalance
지하_층_수(UNDGRND_FLOOR_CO) is highly imbalanced (51.4%)Imbalance
건물_명(BULD_NM) has 413 (82.6%) missing valuesMissing
상세_건물_명(DETAIL_BULD_NM) has 472 (94.4%) missing valuesMissing
우편번호(ZIP) has 500 (100.0%) missing valuesMissing
엑스좌표_최소_값(XCNTS_MIN_VALUE) has unique valuesUnique
우편번호(ZIP) is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물_부번(BULD_SLNO) has 290 (58.0%) zerosZeros
지상_층_수(GROUND_FLOOR_CO) has 56 (11.2%) zerosZeros
지번_부번(LNM_SLNO) has 48 (9.6%) zerosZeros

Reproduction

Analysis started2023-12-10 14:49:59.731994
Analysis finished2023-12-10 14:50:00.187084
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물_용도_코드(BULD_PRPOS_CD)
Real number (ℝ)

Distinct45
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2598.436
Minimum1000
Maximum16999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:00.257657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q11001
median1003
Q33001
95-th percentile8104
Maximum16999
Range15999
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation2698.8349
Coefficient of variation (CV)1.0386382
Kurtosis7.4632648
Mean2598.436
Median Absolute Deviation (MAD)3
Skewness2.5713358
Sum1299218
Variance7283709.8
MonotonicityNot monotonic
2023-12-10T23:50:00.441958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1001 104
20.8%
1003 91
18.2%
2003 62
12.4%
1000 52
10.4%
2001 34
 
6.8%
4999 29
 
5.8%
3999 26
 
5.2%
3001 17
 
3.4%
4402 10
 
2.0%
2002 8
 
1.6%
Other values (35) 67
13.4%
ValueCountFrequency (%)
1000 52
10.4%
1001 104
20.8%
1002 7
 
1.4%
1003 91
18.2%
2001 34
 
6.8%
2002 8
 
1.6%
2003 62
12.4%
2004 1
 
0.2%
3001 17
 
3.4%
3004 1
 
0.2%
ValueCountFrequency (%)
16999 1
 
0.2%
16001 2
 
0.4%
14001 5
1.0%
13100 1
 
0.2%
11299 2
 
0.4%
11102 3
0.6%
10299 3
0.6%
10202 3
0.6%
10199 1
 
0.2%
10000 1
 
0.2%

이전_건물_관리_번호(BEFORE_BULD_MANAGE_NO)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1424181 × 1024
Minimum1.1110101 × 1024
Maximum1.174011 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:00.651902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 1024
5-th percentile1.1140155 × 1024
Q11.1282602 × 1024
median1.1410119 × 1024
Q31.1567625 × 1024
95-th percentile1.1710108 × 1024
Maximum1.174011 × 1024
Range6.30009 × 1022
Interquartile range (IQR)2.8502325 × 1022

Descriptive statistics

Standard deviation1.8107906 × 1022
Coefficient of variation (CV)0.015850507
Kurtosis-1.1373875
Mean1.1424181 × 1024
Median Absolute Deviation (MAD)1.500135 × 1022
Skewness0.064196208
Sum5.7120906 × 1026
Variance3.2789628 × 1044
MonotonicityNot monotonic
2023-12-10T23:50:01.218926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.138010700101e+24 2
 
0.4%
1.16801010010774e+24 2
 
0.4%
1.12151030010033e+24 2
 
0.4%
1.11401620010423e+24 1
 
0.2%
1.12301020010187e+24 1
 
0.2%
1.15301020010762e+24 1
 
0.2%
1.17401080010423e+24 1
 
0.2%
1.13051010010836e+24 1
 
0.2%
1.15001040010272e+24 1
 
0.2%
1.14101200010188e+24 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
1.1110101001005e+24 1
0.2%
1.11101080010046e+24 1
0.2%
1.11101240010046e+24 1
0.2%
1.11101360010238e+24 1
0.2%
1.11101390010128e+24 1
0.2%
1.11101400010035e+24 1
0.2%
1.11101670010029e+24 1
0.2%
1.11101680010001e+24 1
0.2%
1.11101720010061e+24 1
0.2%
1.11101730010001e+24 1
0.2%
ValueCountFrequency (%)
1.17401100010482e+24 1
0.2%
1.17401090010393e+24 1
0.2%
1.17401090010201e+24 1
0.2%
1.1740109001009e+24 1
0.2%
1.17401080010448e+24 1
0.2%
1.17401080010423e+24 1
0.2%
1.17401080010158e+24 1
0.2%
1.17401080010082e+24 1
0.2%
1.17401070010607e+24 1
0.2%
1.17401070010502e+24 1
0.2%

기초_구간_일련번호(BSIS_SCTN_SN)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14431.18
Minimum66
Maximum44944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:01.722646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile1312.75
Q16519.5
median13156.5
Q321327.5
95-th percentile30868.6
Maximum44944
Range44878
Interquartile range (IQR)14808

Descriptive statistics

Standard deviation9616.1946
Coefficient of variation (CV)0.66634846
Kurtosis-0.47965022
Mean14431.18
Median Absolute Deviation (MAD)7429
Skewness0.47535919
Sum7215590
Variance92471199
MonotonicityNot monotonic
2023-12-10T23:50:02.105295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26001 2
 
0.4%
1837 2
 
0.4%
17870 2
 
0.4%
27359 2
 
0.4%
16091 2
 
0.4%
4499 2
 
0.4%
10797 1
 
0.2%
12056 1
 
0.2%
11019 1
 
0.2%
13894 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
66 1
0.2%
152 1
0.2%
181 1
0.2%
229 1
0.2%
360 1
0.2%
365 1
0.2%
379 1
0.2%
409 1
0.2%
501 1
0.2%
535 1
0.2%
ValueCountFrequency (%)
44944 1
0.2%
43347 1
0.2%
41984 1
0.2%
41155 1
0.2%
40101 1
0.2%
38363 1
0.2%
37037 1
0.2%
36932 1
0.2%
35559 1
0.2%
35526 1
0.2%

기초_구역_번호(BSIS_ZONE_NO)
Real number (ℝ)

Distinct462
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4802.282
Minimum1002
Maximum8859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:02.270028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1339.4
Q12814.25
median4410.5
Q37014.5
95-th percentile8715.15
Maximum8859
Range7857
Interquartile range (IQR)4200.25

Descriptive statistics

Standard deviation2360.8142
Coefficient of variation (CV)0.49160257
Kurtosis-1.2116335
Mean4802.282
Median Absolute Deviation (MAD)1853
Skewness0.2234609
Sum2401141
Variance5573443.5
MonotonicityNot monotonic
2023-12-10T23:50:02.419392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8830 3
 
0.6%
7288 2
 
0.4%
4344 2
 
0.4%
5364 2
 
0.4%
2426 2
 
0.4%
7938 2
 
0.4%
4962 2
 
0.4%
2812 2
 
0.4%
3466 2
 
0.4%
3788 2
 
0.4%
Other values (452) 479
95.8%
ValueCountFrequency (%)
1002 1
0.2%
1015 1
0.2%
1019 1
0.2%
1024 1
0.2%
1033 1
0.2%
1036 1
0.2%
1037 2
0.4%
1057 1
0.2%
1061 1
0.2%
1083 1
0.2%
ValueCountFrequency (%)
8859 1
 
0.2%
8858 1
 
0.2%
8852 1
 
0.2%
8843 1
 
0.2%
8830 3
0.6%
8829 1
 
0.2%
8818 2
0.4%
8814 1
 
0.2%
8813 1
 
0.2%
8804 1
 
0.2%

건물_본번(BULD_MNNM)
Real number (ℝ)

Distinct143
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.124
Minimum1
Maximum814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:02.625869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q112.75
median27
Q355
95-th percentile253.3
Maximum814
Range813
Interquartile range (IQR)42.25

Descriptive statistics

Standard deviation102.29754
Coefficient of variation (CV)1.7599879
Kurtosis20.449553
Mean58.124
Median Absolute Deviation (MAD)17
Skewness4.1617658
Sum29062
Variance10464.786
MonotonicityNot monotonic
2023-12-10T23:50:02.874049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 19
 
3.8%
6 15
 
3.0%
17 13
 
2.6%
7 12
 
2.4%
16 12
 
2.4%
8 12
 
2.4%
5 11
 
2.2%
30 11
 
2.2%
9 11
 
2.2%
13 11
 
2.2%
Other values (133) 373
74.6%
ValueCountFrequency (%)
1 6
 
1.2%
2 4
 
0.8%
3 6
 
1.2%
4 11
2.2%
5 11
2.2%
6 15
3.0%
7 12
2.4%
8 12
2.4%
9 11
2.2%
10 19
3.8%
ValueCountFrequency (%)
814 1
0.2%
733 1
0.2%
714 1
0.2%
654 1
0.2%
653 1
0.2%
579 1
0.2%
542 1
0.2%
496 1
0.2%
435 1
0.2%
427 1
0.2%

건물_명(BULD_NM)
Text

MISSING 

Distinct87
Distinct (%)100.0%
Missing413
Missing (%)82.6%
Memory size4.0 KiB
2023-12-10T23:50:03.192884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.3448276
Min length2

Characters and Unicode

Total characters552
Distinct characters198
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowLG종합기술원
2nd row세계학원
3rd row현대아파트112동
4th row명문하이빌
5th row상명빌딩
ValueCountFrequency (%)
lg종합기술원 1
 
1.1%
art 1
 
1.1%
동천빌딩 1
 
1.1%
창동주공아파트 1
 
1.1%
은혜당약국 1
 
1.1%
세양청마루아파트 1
 
1.1%
방화지하철차량기지 1
 
1.1%
한진택배 1
 
1.1%
상계주공아파트 1
 
1.1%
부성맨션 1
 
1.1%
Other values (85) 85
89.5%
2023-12-10T23:50:03.709142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
 
4.3%
빌 21
 
3.8%
아 20
 
3.6%
트 18
 
3.3%
파 17
 
3.1%
교 13
 
2.4%
대 11
 
2.0%
지 9
 
1.6%
주 9
 
1.6%
1 9
 
1.6%
Other values (188) 401
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
90.9%
Decimal Number 27
 
4.9%
Space Separator 8
 
1.4%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%
Uppercase Letter 4
 
0.7%
Lowercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
4.8%
빌 21
 
4.2%
아 20
 
4.0%
트 18
 
3.6%
파 17
 
3.4%
교 13
 
2.6%
대 11
 
2.2%
지 9
 
1.8%
주 9
 
1.8%
학 9
 
1.8%
Other values (170) 351
69.9%
Decimal Number
ValueCountFrequency (%)
1 9
33.3%
2 6
22.2%
3 4
14.8%
5 2
 
7.4%
9 2
 
7.4%
0 2
 
7.4%
6 1
 
3.7%
8 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
L 1
25.0%
G 1
25.0%
B 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
r 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
90.9%
Common 44
 
8.0%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
4.8%
빌 21
 
4.2%
아 20
 
4.0%
트 18
 
3.6%
파 17
 
3.4%
교 13
 
2.6%
대 11
 
2.2%
지 9
 
1.8%
주 9
 
1.8%
학 9
 
1.8%
Other values (170) 351
69.9%
Common
ValueCountFrequency (%)
1 9
20.5%
8
18.2%
2 6
13.6%
) 4
9.1%
( 4
9.1%
3 4
9.1%
5 2
 
4.5%
9 2
 
4.5%
0 2
 
4.5%
6 1
 
2.3%
Other values (2) 2
 
4.5%
Latin
ValueCountFrequency (%)
t 1
16.7%
r 1
16.7%
A 1
16.7%
L 1
16.7%
G 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
90.9%
ASCII 50
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
 
4.8%
빌 21
 
4.2%
아 20
 
4.0%
트 18
 
3.6%
파 17
 
3.4%
교 13
 
2.6%
대 11
 
2.2%
지 9
 
1.8%
주 9
 
1.8%
학 9
 
1.8%
Other values (170) 351
69.9%
ASCII
ValueCountFrequency (%)
1 9
18.0%
8
16.0%
2 6
12.0%
) 4
8.0%
( 4
8.0%
3 4
8.0%
5 2
 
4.0%
9 2
 
4.0%
0 2
 
4.0%
t 1
 
2.0%
Other values (8) 8
16.0%

상세_건물_명(DETAIL_BULD_NM)
Text

MISSING 

Distinct24
Distinct (%)85.7%
Missing472
Missing (%)94.4%
Memory size4.0 KiB
2023-12-10T23:50:03.950190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.3571429
Min length2

Characters and Unicode

Total characters94
Distinct characters33
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row902동
2nd row138동
3rd row104동
4th row6동
5th row102
ValueCountFrequency (%)
경비실 2
 
7.1%
b동 2
 
7.1%
105동 2
 
7.1%
102동 2
 
7.1%
106동 1
 
3.6%
가,나,다 1
 
3.6%
본관 1
 
3.6%
502동 1
 
3.6%
공가 1
 
3.6%
4동 1
 
3.6%
Other values (14) 14
50.0%
2023-12-10T23:50:04.332963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 20
21.3%
1 12
12.8%
0 12
12.8%
2 5
 
5.3%
4 4
 
4.3%
5 4
 
4.3%
가 3
 
3.2%
6 3
 
3.2%
, 2
 
2.1%
비 2
 
2.1%
Other values (23) 27
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
47.9%
Decimal Number 45
47.9%
Other Punctuation 2
 
2.1%
Uppercase Letter 2
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20
44.4%
가 3
 
6.7%
비 2
 
4.4%
경 2
 
4.4%
실 2
 
4.4%
본 1
 
2.2%
지 1
 
2.2%
등 1
 
2.2%
영 1
 
2.2%
다 1
 
2.2%
Other values (11) 11
24.4%
Decimal Number
ValueCountFrequency (%)
1 12
26.7%
0 12
26.7%
2 5
11.1%
4 4
 
8.9%
5 4
 
8.9%
6 3
 
6.7%
3 2
 
4.4%
9 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47
50.0%
Hangul 45
47.9%
Latin 2
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20
44.4%
가 3
 
6.7%
비 2
 
4.4%
경 2
 
4.4%
실 2
 
4.4%
본 1
 
2.2%
지 1
 
2.2%
등 1
 
2.2%
영 1
 
2.2%
다 1
 
2.2%
Other values (11) 11
24.4%
Common
ValueCountFrequency (%)
1 12
25.5%
0 12
25.5%
2 5
10.6%
4 4
 
8.5%
5 4
 
8.5%
6 3
 
6.4%
, 2
 
4.3%
3 2
 
4.3%
9 1
 
2.1%
7 1
 
2.1%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
52.1%
Hangul 45
47.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 20
44.4%
가 3
 
6.7%
비 2
 
4.4%
경 2
 
4.4%
실 2
 
4.4%
본 1
 
2.2%
지 1
 
2.2%
등 1
 
2.2%
영 1
 
2.2%
다 1
 
2.2%
Other values (11) 11
24.4%
ASCII
ValueCountFrequency (%)
1 12
24.5%
0 12
24.5%
2 5
10.2%
4 4
 
8.2%
5 4
 
8.2%
6 3
 
6.1%
, 2
 
4.1%
3 2
 
4.1%
B 2
 
4.1%
9 1
 
2.0%
Other values (2) 2
 
4.1%

건물_구분_코드(BULD_SE_CD)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

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 (%)
0 500
100.0%

Length

2023-12-10T23:50:04.495980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:04.626053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

건물_부번(BULD_SLNO)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.814
Minimum0
Maximum142
Zeros290
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:04.732463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile19.05
Maximum142
Range142
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.0500392
Coefficient of variation (CV)2.3728472
Kurtosis110.42208
Mean3.814
Median Absolute Deviation (MAD)0
Skewness8.175107
Sum1907
Variance81.90321
MonotonicityNot monotonic
2023-12-10T23:50:04.909044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 290
58.0%
3 28
 
5.6%
1 25
 
5.0%
6 19
 
3.8%
5 15
 
3.0%
8 14
 
2.8%
4 14
 
2.8%
7 14
 
2.8%
2 12
 
2.4%
10 9
 
1.8%
Other values (24) 60
 
12.0%
ValueCountFrequency (%)
0 290
58.0%
1 25
 
5.0%
2 12
 
2.4%
3 28
 
5.6%
4 14
 
2.8%
5 15
 
3.0%
6 19
 
3.8%
7 14
 
2.8%
8 14
 
2.8%
9 7
 
1.4%
ValueCountFrequency (%)
142 1
 
0.2%
44 1
 
0.2%
39 1
 
0.2%
36 1
 
0.2%
33 2
0.4%
32 1
 
0.2%
27 1
 
0.2%
26 2
0.4%
25 4
0.8%
24 1
 
0.2%

건물_종속_구분_코드(BULD_DPNDCY_SE_CD)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
M
490 
S
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 490
98.0%
S 10
 
2.0%

Length

2023-12-10T23:50:05.039054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:05.131478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 490
98.0%
s 10
 
2.0%

건물_일련번호(BULD_SN)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15367.854
Minimum47
Maximum48580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:05.262933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile1349.9
Q16789.5
median13858.5
Q322612
95-th percentile34432.6
Maximum48580
Range48533
Interquartile range (IQR)15822.5

Descriptive statistics

Standard deviation10335.573
Coefficient of variation (CV)0.67254496
Kurtosis-0.32068326
Mean15367.854
Median Absolute Deviation (MAD)7774.5
Skewness0.56795507
Sum7683927
Variance1.0682406 × 108
MonotonicityNot monotonic
2023-12-10T23:50:05.418096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4218 2
 
0.4%
15174 2
 
0.4%
9611 2
 
0.4%
21124 1
 
0.2%
15936 1
 
0.2%
2020 1
 
0.2%
15463 1
 
0.2%
7793 1
 
0.2%
20171 1
 
0.2%
4567 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
47 1
0.2%
63 1
0.2%
129 1
0.2%
136 1
0.2%
153 1
0.2%
179 1
0.2%
182 1
0.2%
297 1
0.2%
468 1
0.2%
506 1
0.2%
ValueCountFrequency (%)
48580 1
0.2%
46020 1
0.2%
44586 1
0.2%
42743 1
0.2%
41308 1
0.2%
41099 1
0.2%
40959 1
0.2%
40623 1
0.2%
39949 1
0.2%
39890 1
0.2%

읍면동_코드(EMD_CD)
Real number (ℝ)

Distinct58
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.318
Minimum101
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:05.597951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1103
median106
Q3114
95-th percentile162
Maximum187
Range86
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.830107
Coefficient of variation (CV)0.15734576
Kurtosis4.3523035
Mean113.318
Median Absolute Deviation (MAD)4
Skewness2.1612755
Sum56659
Variance317.9127
MonotonicityNot monotonic
2023-12-10T23:50:05.762452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 71
14.2%
102 52
 
10.4%
103 49
 
9.8%
105 33
 
6.6%
107 31
 
6.2%
104 31
 
6.2%
108 29
 
5.8%
106 19
 
3.8%
109 18
 
3.6%
133 15
 
3.0%
Other values (48) 152
30.4%
ValueCountFrequency (%)
101 71
14.2%
102 52
10.4%
103 49
9.8%
104 31
6.2%
105 33
6.6%
106 19
 
3.8%
107 31
6.2%
108 29
5.8%
109 18
 
3.6%
110 14
 
2.8%
ValueCountFrequency (%)
187 2
0.4%
185 1
 
0.2%
184 1
 
0.2%
183 2
0.4%
175 1
 
0.2%
174 3
0.6%
173 1
 
0.2%
171 2
0.4%
170 1
 
0.2%
165 2
0.4%

지상_층_수(GROUND_FLOOR_CO)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.752
Minimum0
Maximum22
Zeros56
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:05.892124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7366905
Coefficient of variation (CV)0.99443696
Kurtosis15.709554
Mean2.752
Median Absolute Deviation (MAD)1
Skewness3.2660112
Sum1376
Variance7.4894749
MonotonicityNot monotonic
2023-12-10T23:50:06.008297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 157
31.4%
1 93
18.6%
3 63
12.6%
0 56
 
11.2%
4 51
 
10.2%
5 43
 
8.6%
6 14
 
2.8%
7 7
 
1.4%
15 4
 
0.8%
9 2
 
0.4%
Other values (8) 10
 
2.0%
ValueCountFrequency (%)
0 56
 
11.2%
1 93
18.6%
2 157
31.4%
3 63
12.6%
4 51
 
10.2%
5 43
 
8.6%
6 14
 
2.8%
7 7
 
1.4%
9 2
 
0.4%
10 2
 
0.4%
ValueCountFrequency (%)
22 1
 
0.2%
21 1
 
0.2%
20 1
 
0.2%
16 1
 
0.2%
15 4
0.8%
14 1
 
0.2%
13 2
0.4%
11 1
 
0.2%
10 2
0.4%
9 2
0.4%

리_코드(LI_CD)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
500 

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 (%)
0 500
100.0%

Length

2023-12-10T23:50:06.145683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:06.244323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 500
100.0%

지번_본번(LNM_MNNM)
Real number (ℝ)

Distinct353
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.42
Minimum1
Maximum1688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:06.361263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.95
Q1101.75
median253
Q3493.75
95-th percentile1075
Maximum1688
Range1687
Interquartile range (IQR)392

Descriptive statistics

Standard deviation343.34851
Coefficient of variation (CV)0.95528493
Kurtosis2.3439062
Mean359.42
Median Absolute Deviation (MAD)180
Skewness1.5203943
Sum179710
Variance117888.2
MonotonicityNot monotonic
2023-12-10T23:50:06.868958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 6
 
1.2%
3 5
 
1.0%
73 5
 
1.0%
249 4
 
0.8%
27 4
 
0.8%
225 4
 
0.8%
40 4
 
0.8%
111 4
 
0.8%
39 4
 
0.8%
104 3
 
0.6%
Other values (343) 457
91.4%
ValueCountFrequency (%)
1 3
0.6%
2 2
 
0.4%
3 5
1.0%
4 2
 
0.4%
5 2
 
0.4%
6 1
 
0.2%
7 1
 
0.2%
8 3
0.6%
9 2
 
0.4%
10 3
0.6%
ValueCountFrequency (%)
1688 1
0.2%
1643 1
0.2%
1639 1
0.2%
1638 1
0.2%
1621 1
0.2%
1620 1
0.2%
1541 1
0.2%
1534 1
0.2%
1527 1
0.2%
1429 1
0.2%

지번_부번(LNM_SLNO)
Real number (ℝ)

ZEROS 

Distinct148
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.708
Minimum0
Maximum3080
Zeros48
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:07.100812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q352.5
95-th percentile273.4
Maximum3080
Range3080
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation194.37117
Coefficient of variation (CV)2.913761
Kurtosis125.97624
Mean66.708
Median Absolute Deviation (MAD)14
Skewness9.5533414
Sum33354
Variance37780.151
MonotonicityNot monotonic
2023-12-10T23:50:07.285211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
9.6%
3 21
 
4.2%
5 20
 
4.0%
1 19
 
3.8%
6 18
 
3.6%
4 17
 
3.4%
9 14
 
2.8%
8 13
 
2.6%
10 12
 
2.4%
2 11
 
2.2%
Other values (138) 307
61.4%
ValueCountFrequency (%)
0 48
9.6%
1 19
 
3.8%
2 11
 
2.2%
3 21
4.2%
4 17
 
3.4%
5 20
4.0%
6 18
 
3.6%
7 9
 
1.8%
8 13
 
2.6%
9 14
 
2.8%
ValueCountFrequency (%)
3080 1
0.2%
1512 1
0.2%
1186 1
0.2%
1142 1
0.2%
828 1
0.2%
762 1
0.2%
639 1
0.2%
625 1
0.2%
599 1
0.2%
527 1
0.2%

산_여부(MNTN_AT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
498 
1
 
2

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 (%)
0 498
99.6%
1 2
 
0.4%

Length

2023-12-10T23:50:07.454242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:07.580933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 498
99.6%
1 2
 
0.4%

도로명_코드(RN_CD)
Real number (ℝ)

Distinct476
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3924422.6
Minimum2000006
Maximum4172435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:07.737204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000006
5-th percentile3005033.8
Q14106412.8
median4124466.5
Q34148309
95-th percentile4169194.2
Maximum4172435
Range2172429
Interquartile range (IQR)41896.25

Descriptive statistics

Standard deviation469465.93
Coefficient of variation (CV)0.11962675
Kurtosis3.703179
Mean3924422.6
Median Absolute Deviation (MAD)21170
Skewness-2.1004562
Sum1.9622113 × 109
Variance2.2039826 × 1011
MonotonicityNot monotonic
2023-12-10T23:50:07.911577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000006 3
 
0.6%
3000028 3
 
0.6%
4112408 2
 
0.4%
3005055 2
 
0.4%
3005038 2
 
0.4%
4121266 2
 
0.4%
3000001 2
 
0.4%
4112430 2
 
0.4%
4166718 2
 
0.4%
3101002 2
 
0.4%
Other values (466) 478
95.6%
ValueCountFrequency (%)
2000006 3
0.6%
2000008 1
 
0.2%
2005005 1
 
0.2%
2005008 1
 
0.2%
2005011 1
 
0.2%
2123001 1
 
0.2%
2123002 1
 
0.2%
3000001 2
0.4%
3000004 2
0.4%
3000008 1
 
0.2%
ValueCountFrequency (%)
4172435 1
0.2%
4172401 1
0.2%
4172329 1
0.2%
4172310 1
0.2%
4172254 1
0.2%
4172170 1
0.2%
4172165 1
0.2%
4172138 1
0.2%
4172125 1
0.2%
4172119 1
0.2%

시군구_코드(SIGNGU_CD)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11411.74
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:08.093744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111230
median11410
Q311560
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)330

Descriptive statistics

Standard deviation187.8298
Coefficient of variation (CV)0.016459348
Kurtosis-1.2188671
Mean11411.74
Median Absolute Deviation (MAD)150
Skewness0.11716912
Sum5705870
Variance35280.032
MonotonicityNot monotonic
2023-12-10T23:50:08.257281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11380 29
 
5.8%
11230 28
 
5.6%
11620 28
 
5.6%
11290 28
 
5.6%
11680 25
 
5.0%
11170 23
 
4.6%
11110 22
 
4.4%
11260 21
 
4.2%
11740 21
 
4.2%
11560 20
 
4.0%
Other values (15) 255
51.0%
ValueCountFrequency (%)
11110 22
4.4%
11140 19
3.8%
11170 23
4.6%
11200 17
3.4%
11215 17
3.4%
11230 28
5.6%
11260 21
4.2%
11290 28
5.6%
11305 19
3.8%
11320 17
3.4%
ValueCountFrequency (%)
11740 21
4.2%
11710 16
3.2%
11680 25
5.0%
11650 11
 
2.2%
11620 28
5.6%
11590 20
4.0%
11560 20
4.0%
11545 18
3.6%
11530 17
3.4%
11500 20
4.0%

지하_층_수(UNDGRND_FLOOR_CO)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
281 
0
209 
2
 
7
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 281
56.2%
0 209
41.8%
2 7
 
1.4%
3 2
 
0.4%
4 1
 
0.2%

Length

2023-12-10T23:50:08.399972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:08.509633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 281
56.2%
0 209
41.8%
2 7
 
1.4%
3 2
 
0.4%
4 1
 
0.2%

우편번호(ZIP)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing500
Missing (%)100.0%
Memory size4.5 KiB

건물_엑스좌표_중심_값(BULD_XCNTS_CENTER_VALUE)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199053.72
Minimum181874
Maximum213623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:08.641676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181874
5-th percentile186478.5
Q1193369
median200357
Q3204654.75
95-th percentile209485.95
Maximum213623
Range31749
Interquartile range (IQR)11285.75

Descriptive statistics

Standard deviation7120.0283
Coefficient of variation (CV)0.03576938
Kurtosis-0.69176528
Mean199053.72
Median Absolute Deviation (MAD)5296
Skewness-0.21502874
Sum99526862
Variance50694803
MonotonicityNot monotonic
2023-12-10T23:50:08.800670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190220 2
 
0.4%
197395 2
 
0.4%
194045 2
 
0.4%
207472 2
 
0.4%
211080 2
 
0.4%
206732 2
 
0.4%
202963 1
 
0.2%
183785 1
 
0.2%
192630 1
 
0.2%
191893 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
181874 1
0.2%
182308 1
0.2%
183089 1
0.2%
183488 1
0.2%
183573 1
0.2%
183785 1
0.2%
184297 1
0.2%
184800 1
0.2%
184808 1
0.2%
184838 1
0.2%
ValueCountFrequency (%)
213623 1
0.2%
213594 1
0.2%
213570 1
0.2%
213294 1
0.2%
213172 1
0.2%
213058 1
0.2%
212971 1
0.2%
212956 1
0.2%
212794 1
0.2%
212728 1
0.2%

건물_와이좌표_중심_값(BULD_YDNTS_CENTER_VALUE)
Real number (ℝ)

Distinct496
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450370.03
Minimum439063
Maximum463978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:08.948237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439063
5-th percentile441772.15
Q1444972.25
median450483.5
Q3454754.75
95-th percentile460232.85
Maximum463978
Range24915
Interquartile range (IQR)9782.5

Descriptive statistics

Standard deviation5853.3534
Coefficient of variation (CV)0.012996765
Kurtosis-0.84079347
Mean450370.03
Median Absolute Deviation (MAD)4884
Skewness0.13389134
Sum2.2518501 × 108
Variance34261746
MonotonicityNot monotonic
2023-12-10T23:50:09.131134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454082 2
 
0.4%
442567 2
 
0.4%
457742 2
 
0.4%
447500 2
 
0.4%
455541 1
 
0.2%
456131 1
 
0.2%
459816 1
 
0.2%
455214 1
 
0.2%
445766 1
 
0.2%
454777 1
 
0.2%
Other values (486) 486
97.2%
ValueCountFrequency (%)
439063 1
0.2%
439178 1
0.2%
439282 1
0.2%
439321 1
0.2%
439926 1
0.2%
440131 1
0.2%
440134 1
0.2%
440207 1
0.2%
440339 1
0.2%
440467 1
0.2%
ValueCountFrequency (%)
463978 1
0.2%
463941 1
0.2%
463918 1
0.2%
463580 1
0.2%
463415 1
0.2%
462968 1
0.2%
462880 1
0.2%
462843 1
0.2%
462744 1
0.2%
462648 1
0.2%

주소_코드(ADRES_CD)
Real number (ℝ)

Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1410082 × 1018
Minimum1.1110112 × 1018
Maximum1.1740109 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:09.287244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110112 × 1018
5-th percentile1.1110184 × 1018
Q11.1260101 × 1018
median1.1410111 × 1018
Q31.156013 × 1018
95-th percentile1.1710103 × 1018
Maximum1.1740109 × 1018
Range6.29997 × 1016
Interquartile range (IQR)3.0002875 × 1016

Descriptive statistics

Standard deviation1.82183 × 1016
Coefficient of variation (CV)0.015966845
Kurtosis-1.1705253
Mean1.1410082 × 1018
Median Absolute Deviation (MAD)1.5001 × 1016
Skewness0.10486746
Sum-1.3449785 × 1018
Variance3.3190647 × 1032
MonotonicityNot monotonic
2023-12-10T23:50:09.460100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1168010300005700000 2
 
0.4%
1174010700004580020 1
 
0.2%
1130510300002200037 1
 
0.2%
1111011200000470001 1
 
0.2%
1147010100009680016 1
 
0.2%
1120011400006561198 1
 
0.2%
1117012500000020008 1
 
0.2%
1121510500006380037 1
 
0.2%
1154510300008710020 1
 
0.2%
1174010800004210020 1
 
0.2%
Other values (489) 489
97.8%
ValueCountFrequency (%)
1111011200000470001 1
0.2%
1111011500002620019 1
0.2%
1111013300001220001 1
0.2%
1111013500000070011 1
0.2%
1111014300001160000 1
0.2%
1111014600001700005 1
0.2%
1111014700000830000 1
0.2%
1111014800001330011 1
0.2%
1111015900000040005 1
0.2%
1111016200000610003 1
0.2%
ValueCountFrequency (%)
1174010900005510011 1
0.2%
1174010900004370008 1
0.2%
1174010900004100026 1
0.2%
1174010900004090010 1
0.2%
1174010900002900004 1
0.2%
1174010900002370017 1
0.2%
1174010800004210020 1
0.2%
1174010800003860009 1
0.2%
1174010800002850007 1
0.2%
1174010800002580002 1
0.2%

연면적_값(TOTAR_VALUE)
Real number (ℝ)

Distinct498
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean854.87064
Minimum3.61
Maximum31135.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:09.620934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.61
5-th percentile34.3155
Q1111.4225
median227.21
Q3515.8025
95-th percentile3240.239
Maximum31135.91
Range31132.3
Interquartile range (IQR)404.38

Descriptive statistics

Standard deviation2736.9421
Coefficient of variation (CV)3.2015863
Kurtosis57.742613
Mean854.87064
Median Absolute Deviation (MAD)144.015
Skewness6.9405674
Sum427435.32
Variance7490852.1
MonotonicityNot monotonic
2023-12-10T23:50:09.777917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.84 2
 
0.4%
79.72 2
 
0.4%
45.14 1
 
0.2%
202.95 1
 
0.2%
187.28 1
 
0.2%
696.85 1
 
0.2%
167.74 1
 
0.2%
274.24 1
 
0.2%
98.9 1
 
0.2%
633.8 1
 
0.2%
Other values (488) 488
97.6%
ValueCountFrequency (%)
3.61 1
0.2%
4.05 1
0.2%
4.42 1
0.2%
6.6 1
0.2%
9.25 1
0.2%
10.06 1
0.2%
12.0 1
0.2%
12.42 1
0.2%
12.62 1
0.2%
13.12 1
0.2%
ValueCountFrequency (%)
31135.91 1
0.2%
27597.4 1
0.2%
17993.48 1
0.2%
15913.4 1
0.2%
15388.25 1
0.2%
14696.6 1
0.2%
14669.0 1
0.2%
13849.95 1
0.2%
12709.71 1
0.2%
10895.85 1
0.2%

행정동_코드(ADSTRD_CD)
Real number (ℝ)

Distinct273
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11407623
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:09.926587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11110710
Q111230718
median11410538
Q311560692
95-th percentile11710580
Maximum11740700
Range630185
Interquartile range (IQR)329975

Descriptive statistics

Standard deviation188275.05
Coefficient of variation (CV)0.016504319
Kurtosis-1.2244403
Mean11407623
Median Absolute Deviation (MAD)150172.5
Skewness0.099507624
Sum5.7038116 × 109
Variance3.5447495 × 1010
MonotonicityNot monotonic
2023-12-10T23:50:10.106189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11290525 6
 
1.2%
11215770 6
 
1.2%
11140605 5
 
1.0%
11680565 5
 
1.0%
11560550 5
 
1.0%
11410620 5
 
1.0%
11110710 4
 
0.8%
11290770 4
 
0.8%
11290705 4
 
0.8%
11260610 4
 
0.8%
Other values (263) 452
90.4%
ValueCountFrequency (%)
11110515 2
0.4%
11110530 3
0.6%
11110550 1
 
0.2%
11110560 2
0.4%
11110570 1
 
0.2%
11110580 4
0.8%
11110600 2
0.4%
11110615 3
0.6%
11110650 3
0.6%
11110670 2
0.4%
ValueCountFrequency (%)
11740700 1
 
0.2%
11740685 3
0.6%
11740660 2
0.4%
11740610 1
 
0.2%
11740600 1
 
0.2%
11740570 4
0.8%
11740560 1
 
0.2%
11740550 2
0.4%
11740540 1
 
0.2%
11740520 1
 
0.2%

블록_코드(우편번호기준_기초단위구역_코드)(BLCK_CD)
Real number (ℝ)

Distinct496
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193896.39
Minimum3231
Maximum366950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:10.290554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3231
5-th percentile13436.75
Q1153196.25
median215344
Q3231731.25
95-th percentile363287.75
Maximum366950
Range363719
Interquartile range (IQR)78535

Descriptive statistics

Standard deviation110665.11
Coefficient of variation (CV)0.57074352
Kurtosis-0.73560928
Mean193896.39
Median Absolute Deviation (MAD)56985.5
Skewness-0.32221294
Sum96948197
Variance1.2246766 × 1010
MonotonicityNot monotonic
2023-12-10T23:50:10.475124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
228893 2
 
0.4%
21919 2
 
0.4%
211664 2
 
0.4%
229263 2
 
0.4%
216256 1
 
0.2%
361576 1
 
0.2%
22631 1
 
0.2%
230912 1
 
0.2%
16996 1
 
0.2%
16836 1
 
0.2%
Other values (486) 486
97.2%
ValueCountFrequency (%)
3231 1
0.2%
4660 1
0.2%
8469 1
0.2%
8625 1
0.2%
8638 1
0.2%
8967 1
0.2%
9024 1
0.2%
9133 1
0.2%
9294 1
0.2%
9338 1
0.2%
ValueCountFrequency (%)
366950 1
0.2%
366689 1
0.2%
366502 1
0.2%
366478 1
0.2%
366441 1
0.2%
366418 1
0.2%
366391 1
0.2%
365965 1
0.2%
365910 1
0.2%
365854 1
0.2%

집계구_코드(COAR_CD)
Real number (ℝ)

Distinct484
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1123143 × 1012
Minimum1.101054 × 1012
Maximum1.1250741 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:10.705408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.101054 × 1012
5-th percentile1.102055 × 1012
Q11.1060898 × 1012
median1.1120555 × 1012
Q31.118052 × 1012
95-th percentile1.124057 × 1012
Maximum1.1250741 × 1012
Range2.402004 × 1010
Interquartile range (IQR)1.196223 × 1010

Descriptive statistics

Standard deviation6.949625 × 109
Coefficient of variation (CV)0.0062478967
Kurtosis-1.0754585
Mean1.1123143 × 1012
Median Absolute Deviation (MAD)5.9675 × 109
Skewness0.20723563
Sum5.5615716 × 1014
Variance4.8297288 × 1019
MonotonicityNot monotonic
2023-12-10T23:50:10.878322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123071010004 3
 
0.6%
1109060020006 2
 
0.4%
1101058010005 2
 
0.4%
1102055060001 2
 
0.4%
1122057010002 2
 
0.4%
1103072010001 2
 
0.4%
1119074020001 2
 
0.4%
1105067030002 2
 
0.4%
1106073010008 2
 
0.4%
1124054020002 2
 
0.4%
Other values (474) 479
95.8%
ValueCountFrequency (%)
1101054010001 1
0.2%
1101054010003 1
0.2%
1101055010003 1
0.2%
1101056020001 1
0.2%
1101058010005 2
0.4%
1101061040001 1
0.2%
1101063020001 1
0.2%
1101063020002 1
0.2%
1101063030001 1
0.2%
1101063030002 1
0.2%
ValueCountFrequency (%)
1125074050005 1
0.2%
1125074010020 1
0.2%
1125073020016 1
0.2%
1125073020002 1
0.2%
1125072030008 1
0.2%
1125072030003 1
0.2%
1125072010032 1
0.2%
1125071010013 1
0.2%
1125063010016 1
0.2%
1125056020015 1
0.2%

변수1
Real number (ℝ)

Distinct16
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.82
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:11.032919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum22
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2886844
Coefficient of variation (CV)0.8115902
Kurtosis20.081105
Mean2.82
Median Absolute Deviation (MAD)1
Skewness3.6058278
Sum1410
Variance5.2380762
MonotonicityNot monotonic
2023-12-10T23:50:11.167473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 154
30.8%
1 133
26.6%
3 79
15.8%
4 63
12.6%
5 42
 
8.4%
6 13
 
2.6%
7 4
 
0.8%
14 3
 
0.6%
12 2
 
0.4%
9 1
 
0.2%
Other values (6) 6
 
1.2%
ValueCountFrequency (%)
1 133
26.6%
2 154
30.8%
3 79
15.8%
4 63
12.6%
5 42
 
8.4%
6 13
 
2.6%
7 4
 
0.8%
8 1
 
0.2%
9 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
22 1
 
0.2%
18 1
 
0.2%
17 1
 
0.2%
14 3
0.6%
13 1
 
0.2%
12 2
0.4%
11 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 4
0.8%

변수2
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
280 
0
208 
2
 
9
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 280
56.0%
0 208
41.6%
2 9
 
1.8%
3 3
 
0.6%

Length

2023-12-10T23:50:11.313393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:50:11.431865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 280
56.0%
0 208
41.6%
2 9
 
1.8%
3 3
 
0.6%

변수3
Real number (ℝ)

Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2668.752
Minimum1001
Maximum21006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:11.557046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile1001
Q11001
median1003
Q33999
95-th percentile10105.9
Maximum21006
Range20005
Interquartile range (IQR)2998

Descriptive statistics

Standard deviation2977.081
Coefficient of variation (CV)1.115533
Kurtosis8.3044001
Mean2668.752
Median Absolute Deviation (MAD)2
Skewness2.7223104
Sum1334376
Variance8863011.1
MonotonicityNot monotonic
2023-12-10T23:50:11.721634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1001 130
26.0%
1003 93
18.6%
2003 66
13.2%
1002 40
 
8.0%
3999 36
 
7.2%
4999 27
 
5.4%
2002 20
 
4.0%
2001 13
 
2.6%
3001 9
 
1.8%
13100 9
 
1.8%
Other values (32) 57
11.4%
ValueCountFrequency (%)
1001 130
26.0%
1002 40
 
8.0%
1003 93
18.6%
2001 13
 
2.6%
2002 20
 
4.0%
2003 66
13.2%
3000 1
 
0.2%
3001 9
 
1.8%
3199 1
 
0.2%
3999 36
 
7.2%
ValueCountFrequency (%)
21006 1
 
0.2%
16999 1
 
0.2%
16001 1
 
0.2%
15001 1
 
0.2%
14999 1
 
0.2%
14001 3
 
0.6%
13100 9
1.8%
11103 1
 
0.2%
11102 2
 
0.4%
10299 2
 
0.4%

엑스좌표_최소_값(XCNTS_MIN_VALUE)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199190.62
Minimum182282
Maximum213998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:11.881794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182282
5-th percentile186801.45
Q1193455.5
median200003
Q3204521.75
95-th percentile210411
Maximum213998
Range31716
Interquartile range (IQR)11066.25

Descriptive statistics

Standard deviation7031.6733
Coefficient of variation (CV)0.035301228
Kurtosis-0.79705412
Mean199190.62
Median Absolute Deviation (MAD)5674.5
Skewness-0.14241724
Sum99595309
Variance49444430
MonotonicityNot monotonic
2023-12-10T23:50:12.427968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205122 1
 
0.2%
198738 1
 
0.2%
192240 1
 
0.2%
201087 1
 
0.2%
191292 1
 
0.2%
195267 1
 
0.2%
195870 1
 
0.2%
194301 1
 
0.2%
205795 1
 
0.2%
206683 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
182282 1
0.2%
183034 1
0.2%
183154 1
0.2%
183517 1
0.2%
183684 1
0.2%
184567 1
0.2%
184617 1
0.2%
184912 1
0.2%
185034 1
0.2%
185063 1
0.2%
ValueCountFrequency (%)
213998 1
0.2%
213577 1
0.2%
213405 1
0.2%
213050 1
0.2%
212923 1
0.2%
212784 1
0.2%
212526 1
0.2%
212444 1
0.2%
212436 1
0.2%
211935 1
0.2%

와이좌표_최소_값(YDNTS_MIN_VALUE)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450153.22
Minimum437159
Maximum465535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:12.605106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437159
5-th percentile441791.1
Q1444967.5
median450169.5
Q3454243
95-th percentile459931.25
Maximum465535
Range28376
Interquartile range (IQR)9275.5

Descriptive statistics

Standard deviation5739.6576
Coefficient of variation (CV)0.012750453
Kurtosis-0.58364696
Mean450153.22
Median Absolute Deviation (MAD)4531
Skewness0.2290096
Sum2.2507661 × 108
Variance32943670
MonotonicityNot monotonic
2023-12-10T23:50:12.773271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455453 2
 
0.4%
451458 2
 
0.4%
454839 2
 
0.4%
452753 2
 
0.4%
443892 2
 
0.4%
445080 2
 
0.4%
458035 1
 
0.2%
439584 1
 
0.2%
447403 1
 
0.2%
455925 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
437159 1
0.2%
438013 1
0.2%
438713 1
0.2%
439517 1
0.2%
439584 1
0.2%
439742 1
0.2%
440432 1
0.2%
440603 1
0.2%
440648 1
0.2%
440684 1
0.2%
ValueCountFrequency (%)
465535 1
0.2%
464866 1
0.2%
464679 1
0.2%
464474 1
0.2%
464002 1
0.2%
463643 1
0.2%
463450 1
0.2%
463370 1
0.2%
463226 1
0.2%
463113 1
0.2%

엑스좌표_최대_값(XCNTS_MAX_VALUE)
Real number (ℝ)

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198957.28
Minimum182323
Maximum214743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:12.939215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182323
5-th percentile186369.75
Q1193096.25
median200045.5
Q3204502.75
95-th percentile210223.7
Maximum214743
Range32420
Interquartile range (IQR)11406.5

Descriptive statistics

Standard deviation7147.0683
Coefficient of variation (CV)0.035922627
Kurtosis-0.83074504
Mean198957.28
Median Absolute Deviation (MAD)5732.5
Skewness-0.12925082
Sum99478641
Variance51080585
MonotonicityNot monotonic
2023-12-10T23:50:13.111558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202666 2
 
0.4%
194058 2
 
0.4%
192217 2
 
0.4%
196660 2
 
0.4%
203116 2
 
0.4%
197543 1
 
0.2%
204801 1
 
0.2%
192533 1
 
0.2%
191323 1
 
0.2%
185205 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
182323 1
0.2%
183080 1
0.2%
183212 1
0.2%
183469 1
0.2%
183559 1
0.2%
184035 1
0.2%
184559 1
0.2%
184997 1
0.2%
185205 1
0.2%
185303 1
0.2%
ValueCountFrequency (%)
214743 1
0.2%
213127 1
0.2%
213110 1
0.2%
212847 1
0.2%
212565 1
0.2%
212536 1
0.2%
212506 1
0.2%
212504 1
0.2%
212463 1
0.2%
212230 1
0.2%

와이좌표_최대_값(YDNTS_MAX_VALUE)
Real number (ℝ)

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450585.34
Minimum439009
Maximum464427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:13.309606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439009
5-th percentile442422.9
Q1445787
median450895.5
Q3454699.75
95-th percentile460244.4
Maximum464427
Range25418
Interquartile range (IQR)8912.75

Descriptive statistics

Standard deviation5487.9544
Coefficient of variation (CV)0.012179611
Kurtosis-0.63886006
Mean450585.34
Median Absolute Deviation (MAD)4115.5
Skewness0.16577994
Sum2.2529267 × 108
Variance30117644
MonotonicityNot monotonic
2023-12-10T23:50:13.519052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447953 2
 
0.4%
454958 2
 
0.4%
452770 2
 
0.4%
448055 2
 
0.4%
462652 2
 
0.4%
454675 2
 
0.4%
450883 2
 
0.4%
443141 2
 
0.4%
449885 2
 
0.4%
445865 2
 
0.4%
Other values (480) 480
96.0%
ValueCountFrequency (%)
439009 1
0.2%
439067 1
0.2%
440057 1
0.2%
440472 1
0.2%
440654 1
0.2%
440670 1
0.2%
440864 1
0.2%
440921 1
0.2%
441088 1
0.2%
441318 1
0.2%
ValueCountFrequency (%)
464427 1
0.2%
463754 1
0.2%
463746 1
0.2%
463741 1
0.2%
463221 1
0.2%
463087 1
0.2%
463078 1
0.2%
462977 1
0.2%
462856 1
0.2%
462776 1
0.2%

모양_면적(SHAPE_AREA)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.29018
Minimum7.04
Maximum3688.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:50:13.675380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.04
5-th percentile29.904
Q168.985
median99.51
Q3153.5325
95-th percentile503.698
Maximum3688.51
Range3681.47
Interquartile range (IQR)84.5475

Descriptive statistics

Standard deviation329.52269
Coefficient of variation (CV)1.848238
Kurtosis60.235707
Mean178.29018
Median Absolute Deviation (MAD)36.485
Skewness6.9422175
Sum89145.09
Variance108585.2
MonotonicityNot monotonic
2023-12-10T23:50:13.831342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.38 2
 
0.4%
130.62 2
 
0.4%
90.27 2
 
0.4%
478.39 1
 
0.2%
49.76 1
 
0.2%
153.41 1
 
0.2%
117.99 1
 
0.2%
125.96 1
 
0.2%
56.01 1
 
0.2%
36.62 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
7.04 1
0.2%
9.51 1
0.2%
12.68 1
0.2%
13.1 1
0.2%
13.77 1
0.2%
14.47 1
0.2%
16.85 1
0.2%
16.92 1
0.2%
17.46 1
0.2%
17.61 1
0.2%
ValueCountFrequency (%)
3688.51 1
0.2%
3563.84 1
0.2%
2908.62 1
0.2%
1999.53 1
0.2%
1664.97 1
0.2%
1608.6 1
0.2%
1488.18 1
0.2%
1351.89 1
0.2%
1251.76 1
0.2%
1012.59 1
0.2%

Sample

건물_용도_코드(BULD_PRPOS_CD)이전_건물_관리_번호(BEFORE_BULD_MANAGE_NO)기초_구간_일련번호(BSIS_SCTN_SN)기초_구역_번호(BSIS_ZONE_NO)건물_본번(BULD_MNNM)건물_명(BULD_NM)상세_건물_명(DETAIL_BULD_NM)건물_구분_코드(BULD_SE_CD)건물_부번(BULD_SLNO)건물_종속_구분_코드(BULD_DPNDCY_SE_CD)건물_일련번호(BULD_SN)읍면동_코드(EMD_CD)지상_층_수(GROUND_FLOOR_CO)리_코드(LI_CD)지번_본번(LNM_MNNM)지번_부번(LNM_SLNO)산_여부(MNTN_AT)도로명_코드(RN_CD)시군구_코드(SIGNGU_CD)지하_층_수(UNDGRND_FLOOR_CO)우편번호(ZIP)건물_엑스좌표_중심_값(BULD_XCNTS_CENTER_VALUE)건물_와이좌표_중심_값(BULD_YDNTS_CENTER_VALUE)주소_코드(ADRES_CD)연면적_값(TOTAR_VALUE)행정동_코드(ADSTRD_CD)블록_코드(우편번호기준_기초단위구역_코드)(BLCK_CD)집계구_코드(COAR_CD)변수1변수2변수3엑스좌표_최소_값(XCNTS_MIN_VALUE)와이좌표_최소_값(YDNTS_MIN_VALUE)엑스좌표_최대_값(XCNTS_MAX_VALUE)와이좌표_최대_값(YDNTS_MAX_VALUE)모양_면적(SHAPE_AREA)
02003114401020010022002600151517321213529LG종합기술원<NA>00M211241200019103005041113200<NA>202963448795117401070000458002045.14116206552162561101054010003202001205122455369198302441770478.39
1399911305101001023200010303263025679235<NA><NA>03M61901621018717803000024115301<NA>201720441483112151090000344000190.721126059015288110306603000911100119655844569819283644679564.92
2630111560118001014401740255913085257310<NA><NA>00M232021361001904003116008117101<NA>2050924517671144010400003470116239.46112906103663911115052020001101001191434454763195138450987206.2
31001116201020011422000801322521579276752<NA><NA>00M2096310320563604163574115001<NA>20487544562411620101000002600241088.52111705601570351104054010004402002197063452370191365447290109.54
4100111530112001013500250037991667612034<NA><NA>06M39221072023325003005044117100<NA>1976544593711147010300005700007187.6411470610200541124052040001311310020973845391719405845444895.36
5100111440101001065200100007887700433513<NA><NA>00M52811040010868104142154113050<NA>2077424554211129013800002180003104.86116805652254791110064010002211003194237453496210242452367102.61
64299113201060010720000100426310262221676<NA>902동08M1200810210840703106002115601<NA>2011634449091162010200004890014635.8211290525189895111706403000220100318578144355919666044867767.55
72004111101670010029000601187225697240018<NA><NA>05M668510650630504118028114700<NA>204670441122116201010001717000089.3311710561273540111105101000121100120241744350320715345492082.64
82001112601010010436004602564522071302191<NA><NA>00M77791192011413704154802112900<NA>205257451197112901180000025000076.64117105502334281105063010003211001185888456432196865443045131.68
91003112151030010080001200783611841203157<NA><NA>023M18505102304609404160559117100<NA>2129564518021141011800003250013115.57114406803509481107055010006201003211644456023199831456187445.56
건물_용도_코드(BULD_PRPOS_CD)이전_건물_관리_번호(BEFORE_BULD_MANAGE_NO)기초_구간_일련번호(BSIS_SCTN_SN)기초_구역_번호(BSIS_ZONE_NO)건물_본번(BULD_MNNM)건물_명(BULD_NM)상세_건물_명(DETAIL_BULD_NM)건물_구분_코드(BULD_SE_CD)건물_부번(BULD_SLNO)건물_종속_구분_코드(BULD_DPNDCY_SE_CD)건물_일련번호(BULD_SN)읍면동_코드(EMD_CD)지상_층_수(GROUND_FLOOR_CO)리_코드(LI_CD)지번_본번(LNM_MNNM)지번_부번(LNM_SLNO)산_여부(MNTN_AT)도로명_코드(RN_CD)시군구_코드(SIGNGU_CD)지하_층_수(UNDGRND_FLOOR_CO)우편번호(ZIP)건물_엑스좌표_중심_값(BULD_XCNTS_CENTER_VALUE)건물_와이좌표_중심_값(BULD_YDNTS_CENTER_VALUE)주소_코드(ADRES_CD)연면적_값(TOTAR_VALUE)행정동_코드(ADSTRD_CD)블록_코드(우편번호기준_기초단위구역_코드)(BLCK_CD)집계구_코드(COAR_CD)변수1변수2변수3엑스좌표_최소_값(XCNTS_MIN_VALUE)와이좌표_최소_값(YDNTS_MIN_VALUE)엑스좌표_최대_값(XCNTS_MAX_VALUE)와이좌표_최대_값(YDNTS_MAX_VALUE)모양_면적(SHAPE_AREA)
490100111380106001006700380273561309283845<NA><NA>01M20547102304034304112431112301<NA>191247449963111701010000095000312709.711126052013002112307301001031300119259144931619533445532991.19
4911003117401050010078000100187713125245274<NA><NA>08M114981331073316704124241113801<NA>1990974530211123010200007370020657.44111705701570681109061010006101003203073448879194796453574957.43
4921003112151050010581001501218820308459716B동<NA>00M2577410720101004133080115900<NA>20171944185211380109000000700242424.8711470520364367111507203000241100118716644788019156545088325.37
49320031154510200103300035013671101074171241<NA><NA>00M6627162501031404154342116801<NA>2030574495711111013300001220001180.02114106551674781112058010014202003194501451885185409445052169.79
49442031130510100101390026019386708456132<NA><NA>022M4480101203791103005038113050<NA>197395448158112601020000272000315913.411500560231725112308001001221100320394744776419705945359270.3
4951001117101080010075000800366721181566235<NA><NA>00M1591911010717104169194113801<NA>1963214481701159010700003180031635.411410720343551112407102000711100320072145548519355844259158.32
4964999112301080010003005201055915742434457<NA><NA>00M1443813620420904151084116201<NA>20155245575311305101000063600828298.4511140590769741113075010002603999207639456254192217441318110.58
497100011230110001013401120063678367164081<NA><NA>07M21551102401521804136120115600<NA>1973424484181154510300008200002421.1211290650212121110307201000150200320362744710019221744330184.3
498100011710108001005300030047679629850116<NA><NA>011M12659116201581204109249112900<NA>2075994517421121510900003690003774.911590630208547110206202000441200321145344327420264344655824.7
499100311290101001033000840000122803388306<NA><NA>08M658611400600604130082116801<NA>2075564536241123011000001340078124.06116505102103781110053010003204201207058450638196465445223383.22