Overview

Dataset statistics

Number of variables30
Number of observations500
Missing cells697
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.5 KiB
Average record size in memory263.3 B

Variable types

Numeric20
Text4
Categorical6

Dataset

Description샘플 데이터
Author빅밸류
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=325

Alerts

대지구분(DAEJI) has constant value ""Constant
주용도코드(JYONGDO_CODE) is highly imbalanced (95.3%)Imbalance
주용도명(JYONGDO) is highly imbalanced (95.3%)Imbalance
건물이름(BLDNAME) has 278 (55.6%) missing valuesMissing
(건물)동이름(DONGNAME) has 419 (83.8%) missing valuesMissing
표제부_키코드(PKCODE1) has unique valuesUnique
경도(LNG) has unique valuesUnique
위도(LAT) has unique valuesUnique
부번(BUNJI2) has 23 (4.6%) zerosZeros
건축면적(GCAREA) has 24 (4.8%) zerosZeros
건폐율(GPRATE) has 76 (15.2%) zerosZeros
지상연면적(JSYAREA) has 31 (6.2%) zerosZeros
용적률(YJRATE) has 83 (16.6%) zerosZeros
건물높이(HIGH) has 99 (19.8%) zerosZeros
전세시세_산정_세대_수(HO_COUNT1) has 20 (4.0%) zerosZeros
월세시세_산정_세대_수(HO_COUNT2) has 37 (7.4%) zerosZeros

Reproduction

Analysis started2023-12-10 15:07:43.079873
Analysis finished2023-12-10 15:07:43.932863
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PNU코드(PNU)
Real number (ℝ)

Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145592 × 1018
Minimum1.1110109 × 1018
Maximum1.1740109 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:44.056223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110109 × 1018
5-th percentile1.1170117 × 1018
Q11.1320105 × 1018
median1.1470102 × 1018
Q31.1597606 × 1018
95-th percentile1.1710112 × 1018
Maximum1.1740109 × 1018
Range6.3 × 1016
Interquartile range (IQR)2.7750125 × 1016

Descriptive statistics

Standard deviation1.7364979 × 1016
Coefficient of variation (CV)0.015158084
Kurtosis-0.96930155
Mean1.145592 × 1018
Median Absolute Deviation (MAD)1.499965 × 1016
Skewness-0.085499304
Sum9.4692197 × 1017
Variance3.0154251 × 1032
MonotonicityNot monotonic
2023-12-11T00:07:44.338156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1174010900102330002 2
 
0.4%
1159010400100490013 1
 
0.2%
1138010500101720003 1
 
0.2%
1147010200105570022 1
 
0.2%
1138010900102080013 1
 
0.2%
1130510300103350013 1
 
0.2%
1132010700105780057 1
 
0.2%
1171010800101090014 1
 
0.2%
1120011400104270001 1
 
0.2%
1129013300106840008 1
 
0.2%
Other values (489) 489
97.8%
ValueCountFrequency (%)
1111010900101660139 1
0.2%
1111011700101000000 1
0.2%
1111012100100010178 1
0.2%
1111016600101010000 1
0.2%
1111017100100910004 1
0.2%
1111017300100010819 1
0.2%
1111017400105980001 1
0.2%
1111017400106290052 1
0.2%
1111017400106390004 1
0.2%
1111018200101300000 1
0.2%
ValueCountFrequency (%)
1174010900102330002 2
0.4%
1174010900102140005 1
0.2%
1174010900100390011 1
0.2%
1174010800104610003 1
0.2%
1174010800104350027 1
0.2%
1174010800104230055 1
0.2%
1174010800100430007 1
0.2%
1174010700105040031 1
0.2%
1174010700105040030 1
0.2%
1174010700104840047 1
0.2%

기준년월(KEYMONTH)
Real number (ℝ)

Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202032.75
Minimum201912
Maximum202105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:44.560829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201912
5-th percentile202001
Q1202004.75
median202009
Q3202101
95-th percentile202105
Maximum202105
Range193
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation43.553695
Coefficient of variation (CV)0.0002155774
Kurtosis-0.89829954
Mean202032.75
Median Absolute Deviation (MAD)5
Skewness0.95002165
Sum1.0101638 × 108
Variance1896.9243
MonotonicityNot monotonic
2023-12-11T00:07:44.773757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
202002 41
 
8.2%
202006 35
 
7.0%
202012 32
 
6.4%
202010 31
 
6.2%
202009 31
 
6.2%
202104 31
 
6.2%
202008 30
 
6.0%
202101 30
 
6.0%
202003 29
 
5.8%
202105 29
 
5.8%
Other values (8) 181
36.2%
ValueCountFrequency (%)
201912 1
 
0.2%
202001 27
5.4%
202002 41
8.2%
202003 29
5.8%
202004 27
5.4%
202005 24
4.8%
202006 35
7.0%
202007 27
5.4%
202008 30
6.0%
202009 31
6.2%
ValueCountFrequency (%)
202105 29
5.8%
202104 31
6.2%
202103 27
5.4%
202102 20
4.0%
202101 30
6.0%
202012 32
6.4%
202011 28
5.6%
202010 31
6.2%
202009 31
6.2%
202008 30
6.0%

표제부_키코드(PKCODE1)
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:07:45.283834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length12.238
Min length9

Characters and Unicode

Total characters6119
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique500 ?
Unique (%)100.0%

Sample

1st row11230-34252
2nd row11590-11713
3rd row11215-14615
4th row11110-2355
5th row11530-17359
ValueCountFrequency (%)
11230-34252 1
 
0.2%
11620-16575 1
 
0.2%
11500-13969 1
 
0.2%
11710-10295 1
 
0.2%
11710-2523 1
 
0.2%
11440-100210734 1
 
0.2%
11215-100186150 1
 
0.2%
11710-100463383 1
 
0.2%
11710-14141 1
 
0.2%
11710-15929 1
 
0.2%
Other values (490) 490
98.0%
2023-12-11T00:07:46.048317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1704
27.8%
0 1077
17.6%
2 565
 
9.2%
- 500
 
8.2%
5 374
 
6.1%
3 367
 
6.0%
4 346
 
5.7%
6 332
 
5.4%
8 313
 
5.1%
7 288
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5619
91.8%
Dash Punctuation 500
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1704
30.3%
0 1077
19.2%
2 565
 
10.1%
5 374
 
6.7%
3 367
 
6.5%
4 346
 
6.2%
6 332
 
5.9%
8 313
 
5.6%
7 288
 
5.1%
9 253
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1704
27.8%
0 1077
17.6%
2 565
 
9.2%
- 500
 
8.2%
5 374
 
6.1%
3 367
 
6.0%
4 346
 
5.7%
6 332
 
5.4%
8 313
 
5.1%
7 288
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1704
27.8%
0 1077
17.6%
2 565
 
9.2%
- 500
 
8.2%
5 374
 
6.1%
3 367
 
6.0%
4 346
 
5.7%
6 332
 
5.4%
8 313
 
5.1%
7 288
 
4.7%

주소(ADDRESS)
Text

Distinct381
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:07:46.556074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length20.79
Min length15

Characters and Unicode

Total characters10395
Distinct characters53
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

Unique298 ?
Unique (%)59.6%

Sample

1st row서**별**강** **동**3**2**
2nd row서**별**강** **산**6**-**
3rd row서**별**도** **동**3**3**
4th row서**별**은** **동**9**4**
5th row서**별**은** **동**0**1**
ValueCountFrequency (%)
서**별**강 104
 
10.3%
서**별**은 46
 
4.6%
서**별**송 43
 
4.3%
서**별**관 38
 
3.8%
29
 
2.9%
서**별**양 29
 
2.9%
서**별**광 25
 
2.5%
서**별**서 24
 
2.4%
서**별**중 21
 
2.1%
서**별**성 20
 
2.0%
Other values (175) 629
62.4%
2023-12-11T00:07:47.232309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6930
66.7%
서 539
 
5.2%
508
 
4.9%
별 500
 
4.8%
동 447
 
4.3%
1 168
 
1.6%
2 128
 
1.2%
강 104
 
1.0%
3 100
 
1.0%
5 79
 
0.8%
Other values (43) 892
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 6930
66.7%
Other Letter 2010
 
19.3%
Decimal Number 873
 
8.4%
Space Separator 508
 
4.9%
Dash Punctuation 74
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 539
26.8%
별 500
24.9%
동 447
22.2%
강 104
 
5.2%
구 54
 
2.7%
은 47
 
2.3%
송 43
 
2.1%
관 38
 
1.9%
중 29
 
1.4%
양 29
 
1.4%
Other values (30) 180
 
9.0%
Decimal Number
ValueCountFrequency (%)
1 168
19.2%
2 128
14.7%
3 100
11.5%
5 79
9.0%
4 77
8.8%
9 72
8.2%
0 67
 
7.7%
6 66
 
7.6%
8 60
 
6.9%
7 56
 
6.4%
Other Punctuation
ValueCountFrequency (%)
* 6930
100.0%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8385
80.7%
Hangul 2010
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 539
26.8%
별 500
24.9%
동 447
22.2%
강 104
 
5.2%
구 54
 
2.7%
은 47
 
2.3%
송 43
 
2.1%
관 38
 
1.9%
중 29
 
1.4%
양 29
 
1.4%
Other values (30) 180
 
9.0%
Common
ValueCountFrequency (%)
* 6930
82.6%
508
 
6.1%
1 168
 
2.0%
2 128
 
1.5%
3 100
 
1.2%
5 79
 
0.9%
4 77
 
0.9%
- 74
 
0.9%
9 72
 
0.9%
0 67
 
0.8%
Other values (3) 182
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8385
80.7%
Hangul 2010
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6930
82.6%
508
 
6.1%
1 168
 
2.0%
2 128
 
1.5%
3 100
 
1.2%
5 79
 
0.9%
4 77
 
0.9%
- 74
 
0.9%
9 72
 
0.9%
0 67
 
0.8%
Other values (3) 182
 
2.2%
Hangul
ValueCountFrequency (%)
서 539
26.8%
별 500
24.9%
동 447
22.2%
강 104
 
5.2%
구 54
 
2.7%
은 47
 
2.3%
송 43
 
2.1%
관 38
 
1.9%
중 29
 
1.4%
양 29
 
1.4%
Other values (30) 180
 
9.0%

자치구코드(SREG)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11460.01
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:47.473446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11170
Q111305
median11470
Q311620
95-th percentile11740
Maximum11740
Range630
Interquartile range (IQR)315

Descriptive statistics

Standard deviation179.03955
Coefficient of variation (CV)0.015622984
Kurtosis-1.0759675
Mean11460.01
Median Absolute Deviation (MAD)150
Skewness-0.11773911
Sum5730005
Variance32055.16
MonotonicityNot monotonic
2023-12-11T00:07:47.699497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11380 44
 
8.8%
11710 40
 
8.0%
11500 34
 
6.8%
11440 27
 
5.4%
11620 27
 
5.4%
11740 26
 
5.2%
11470 25
 
5.0%
11650 24
 
4.8%
11215 24
 
4.8%
11590 23
 
4.6%
Other values (15) 206
41.2%
ValueCountFrequency (%)
11110 14
2.8%
11140 4
 
0.8%
11170 15
3.0%
11200 7
 
1.4%
11215 24
4.8%
11230 9
 
1.8%
11260 20
4.0%
11290 13
2.6%
11305 23
4.6%
11320 17
3.4%
ValueCountFrequency (%)
11740 26
5.2%
11710 40
8.0%
11680 18
3.6%
11650 24
4.8%
11620 27
5.4%
11590 23
4.6%
11560 11
 
2.2%
11545 14
 
2.8%
11530 18
3.6%
11500 34
6.8%

법정동코드(SEUB)
Real number (ℝ)

Distinct44
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10903.6
Minimum10100
Maximum18400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:47.956965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100
5-th percentile10100
Q110200
median10500
Q310825
95-th percentile13400
Maximum18400
Range8300
Interquartile range (IQR)625

Descriptive statistics

Standard deviation1273.8416
Coefficient of variation (CV)0.11682762
Kurtosis11.108575
Mean10903.6
Median Absolute Deviation (MAD)300
Skewness3.0969455
Sum5451800
Variance1622672.4
MonotonicityNot monotonic
2023-12-11T00:07:48.203670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10300 84
16.8%
10100 79
15.8%
10200 59
11.8%
10700 44
8.8%
10600 33
 
6.6%
10800 32
 
6.4%
10500 26
 
5.2%
10900 19
 
3.8%
10400 18
 
3.6%
11100 14
 
2.8%
Other values (34) 92
18.4%
ValueCountFrequency (%)
10100 79
15.8%
10200 59
11.8%
10300 84
16.8%
10400 18
 
3.6%
10500 26
 
5.2%
10600 33
 
6.6%
10700 44
8.8%
10800 32
 
6.4%
10900 19
 
3.8%
11000 1
 
0.2%
ValueCountFrequency (%)
18400 1
 
0.2%
17500 2
0.4%
17400 1
 
0.2%
17300 1
 
0.2%
17100 1
 
0.2%
17000 1
 
0.2%
16200 4
0.8%
14900 1
 
0.2%
14400 3
0.6%
13900 2
0.4%

대지구분(DAEJI)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
500 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 500
100.0%

Length

2023-12-11T00:07:48.419754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:07:48.601221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

본번(BUNJI1)
Real number (ℝ)

Distinct370
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.632
Minimum1
Maximum1613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:48.787900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q1124.25
median297
Q3528.5
95-th percentile984.45
Maximum1613
Range1612
Interquartile range (IQR)404.25

Descriptive statistics

Standard deviation315.10393
Coefficient of variation (CV)0.84789235
Kurtosis1.5126703
Mean371.632
Median Absolute Deviation (MAD)196.5
Skewness1.2134948
Sum185816
Variance99290.486
MonotonicityNot monotonic
2023-12-11T00:07:49.055595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244 5
 
1.0%
3 5
 
1.0%
5 4
 
0.8%
221 4
 
0.8%
1 4
 
0.8%
11 4
 
0.8%
30 3
 
0.6%
415 3
 
0.6%
218 3
 
0.6%
46 3
 
0.6%
Other values (360) 462
92.4%
ValueCountFrequency (%)
1 4
0.8%
2 1
 
0.2%
3 5
1.0%
5 4
0.8%
7 2
 
0.4%
10 1
 
0.2%
11 4
0.8%
13 3
0.6%
15 1
 
0.2%
16 1
 
0.2%
ValueCountFrequency (%)
1613 1
0.2%
1561 1
0.2%
1513 1
0.2%
1480 1
0.2%
1476 1
0.2%
1466 1
0.2%
1431 1
0.2%
1349 1
0.2%
1243 1
0.2%
1236 1
0.2%

부번(BUNJI2)
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.598
Minimum0
Maximum2736
Zeros23
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:49.341695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median18
Q349.25
95-th percentile210.4
Maximum2736
Range2736
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation170.67587
Coefficient of variation (CV)2.9126569
Kurtosis138.44172
Mean58.598
Median Absolute Deviation (MAD)15
Skewness10.214402
Sum29299
Variance29130.253
MonotonicityNot monotonic
2023-12-11T00:07:49.675505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 32
 
6.4%
0 23
 
4.6%
2 22
 
4.4%
3 19
 
3.8%
7 16
 
3.2%
4 14
 
2.8%
15 14
 
2.8%
5 14
 
2.8%
12 12
 
2.4%
11 11
 
2.2%
Other values (125) 323
64.6%
ValueCountFrequency (%)
0 23
4.6%
1 32
6.4%
2 22
4.4%
3 19
3.8%
4 14
2.8%
5 14
2.8%
6 9
 
1.8%
7 16
3.2%
8 9
 
1.8%
9 10
 
2.0%
ValueCountFrequency (%)
2736 1
0.2%
1657 1
0.2%
980 1
0.2%
671 1
0.2%
583 1
0.2%
562 1
0.2%
553 1
0.2%
511 1
0.2%
485 1
0.2%
461 1
0.2%

경도(LNG)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98354
Minimum126.81037
Maximum127.15643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:50.011432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.81037
5-th percentile126.83917
Q1126.91334
median126.97544
Q3127.05958
95-th percentile127.12728
Maximum127.15643
Range0.34605336
Interquartile range (IQR)0.14623858

Descriptive statistics

Standard deviation0.089029
Coefficient of variation (CV)0.00070110661
Kurtosis-1.1468465
Mean126.98354
Median Absolute Deviation (MAD)0.067392346
Skewness0.034227556
Sum63491.771
Variance0.0079261629
MonotonicityNot monotonic
2023-12-11T00:07:50.372813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.913133513292 1
 
0.2%
126.90658369635 1
 
0.2%
126.835506730919 1
 
0.2%
126.959148431911 1
 
0.2%
126.921079031094 1
 
0.2%
126.930395429811 1
 
0.2%
126.941284388775 1
 
0.2%
126.912234854953 1
 
0.2%
127.125802146427 1
 
0.2%
127.141444922071 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
126.810373891951 1
0.2%
126.81183917253 1
0.2%
126.823237581177 1
0.2%
126.826791216865 1
0.2%
126.827673100977 1
0.2%
126.82783620054 1
0.2%
126.828790316329 1
0.2%
126.830698247226 1
0.2%
126.830974217857 1
0.2%
126.831003935963 1
0.2%
ValueCountFrequency (%)
127.156427251286 1
0.2%
127.146658528496 1
0.2%
127.145452995127 1
0.2%
127.144784714257 1
0.2%
127.143893706654 1
0.2%
127.142045150747 1
0.2%
127.141444922071 1
0.2%
127.140474750835 1
0.2%
127.138808008225 1
0.2%
127.138094623659 1
0.2%

위도(LAT)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.549446
Minimum37.440969
Maximum37.685192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:50.706767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.440969
5-th percentile37.474196
Q137.503314
median37.544015
Q337.593207
95-th percentile37.64253
Maximum37.685192
Range0.24422313
Interquartile range (IQR)0.08989325

Descriptive statistics

Standard deviation0.053604285
Coefficient of variation (CV)0.0014275653
Kurtosis-0.83998744
Mean37.549446
Median Absolute Deviation (MAD)0.043117628
Skewness0.28752057
Sum18774.723
Variance0.0028734194
MonotonicityNot monotonic
2023-12-11T00:07:50.993243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.623208783182 1
 
0.2%
37.542017018969 1
 
0.2%
37.5489164999277 1
 
0.2%
37.479223413268 1
 
0.2%
37.594719501143 1
 
0.2%
37.5970165098 1
 
0.2%
37.5385007340806 1
 
0.2%
37.512272113052 1
 
0.2%
37.555090546204 1
 
0.2%
37.482569333755 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
37.4409685321492 1
0.2%
37.441722655607 1
0.2%
37.448154372557 1
0.2%
37.4481576908976 1
0.2%
37.448517507928 1
0.2%
37.4535937144998 1
0.2%
37.455481825849 1
0.2%
37.4627379574873 1
0.2%
37.464921564564 1
0.2%
37.465161611 1
0.2%
ValueCountFrequency (%)
37.685191662308 1
0.2%
37.67468615679 1
0.2%
37.670963319209 1
0.2%
37.6700045750021 1
0.2%
37.668349902015 1
0.2%
37.6674104773 1
0.2%
37.662385953679 1
0.2%
37.6615386309671 1
0.2%
37.6613535267815 1
0.2%
37.660533620208 1
0.2%

건물이름(BLDNAME)
Text

MISSING 

Distinct212
Distinct (%)95.5%
Missing278
Missing (%)55.6%
Memory size4.0 KiB
2023-12-11T00:07:51.428993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length5.2432432
Min length1

Characters and Unicode

Total characters1164
Distinct characters188
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)91.0%

Sample

1st row명*빌*모*
2nd row삼*아*빌
3rd row에*엠*리*
4th row호*리*빌*차
5th row유*아*빌
ValueCountFrequency (%)
4
 
1.7%
i*l 3
 
1.2%
푸*마 2
 
0.8%
제*스 2
 
0.8%
대*빌 2
 
0.8%
삼*빌 2
 
0.8%
동 2
 
0.8%
세*빌 2
 
0.8%
다*대*택 2
 
0.8%
가*빌 2
 
0.8%
Other values (213) 219
90.5%
2023-12-11T00:07:52.603211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 523
44.9%
빌 89
 
7.6%
스 37
 
3.2%
20
 
1.7%
하 17
 
1.5%
동 16
 
1.4%
이 12
 
1.0%
주 12
 
1.0%
아 12
 
1.0%
리 10
 
0.9%
Other values (178) 416
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 575
49.4%
Other Punctuation 525
45.1%
Space Separator 20
 
1.7%
Uppercase Letter 20
 
1.7%
Decimal Number 15
 
1.3%
Close Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%
Dash Punctuation 1
 
0.1%
Letter Number 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 89
 
15.5%
스 37
 
6.4%
하 17
 
3.0%
동 16
 
2.8%
이 12
 
2.1%
주 12
 
2.1%
아 12
 
2.1%
리 10
 
1.7%
지 9
 
1.6%
삼 9
 
1.6%
Other values (146) 352
61.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
15.0%
B 3
15.0%
E 2
10.0%
M 2
10.0%
I 2
10.0%
N 1
 
5.0%
G 1
 
5.0%
R 1
 
5.0%
T 1
 
5.0%
H 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
7 2
13.3%
6 2
13.3%
8 2
13.3%
0 1
 
6.7%
2 1
 
6.7%
9 1
 
6.7%
3 1
 
6.7%
4 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
l 1
33.3%
o 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 523
99.6%
. 2
 
0.4%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 575
49.4%
Common 565
48.5%
Latin 24
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 89
 
15.5%
스 37
 
6.4%
하 17
 
3.0%
동 16
 
2.8%
이 12
 
2.1%
주 12
 
2.1%
아 12
 
2.1%
리 10
 
1.7%
지 9
 
1.6%
삼 9
 
1.6%
Other values (146) 352
61.2%
Latin
ValueCountFrequency (%)
L 3
12.5%
B 3
12.5%
E 2
 
8.3%
M 2
 
8.3%
I 2
 
8.3%
N 1
 
4.2%
i 1
 
4.2%
G 1
 
4.2%
R 1
 
4.2%
l 1
 
4.2%
Other values (7) 7
29.2%
Common
ValueCountFrequency (%)
* 523
92.6%
20
 
3.5%
1 4
 
0.7%
) 3
 
0.5%
7 2
 
0.4%
6 2
 
0.4%
8 2
 
0.4%
. 2
 
0.4%
0 1
 
0.2%
2 1
 
0.2%
Other values (5) 5
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
50.5%
Hangul 575
49.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 523
88.9%
20
 
3.4%
1 4
 
0.7%
L 3
 
0.5%
B 3
 
0.5%
) 3
 
0.5%
E 2
 
0.3%
7 2
 
0.3%
M 2
 
0.3%
6 2
 
0.3%
Other values (21) 24
 
4.1%
Hangul
ValueCountFrequency (%)
빌 89
 
15.5%
스 37
 
6.4%
하 17
 
3.0%
동 16
 
2.8%
이 12
 
2.1%
주 12
 
2.1%
아 12
 
2.1%
리 10
 
1.7%
지 9
 
1.6%
삼 9
 
1.6%
Other values (146) 352
61.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

(건물)동이름(DONGNAME)
Text

MISSING 

Distinct54
Distinct (%)66.7%
Missing419
Missing (%)83.8%
Memory size4.0 KiB
2023-12-11T00:07:52.981714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.8024691
Min length2

Characters and Unicode

Total characters308
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)56.8%

Sample

1st row101동
2nd row나동
3rd rowB동
4th row14동
5th row103동
ValueCountFrequency (%)
b동 10
 
11.6%
101동 8
 
9.3%
a동 6
 
7.0%
가동 4
 
4.7%
102동 3
 
3.5%
2동 2
 
2.3%
나동 2
 
2.3%
1동 2
 
2.3%
박씨 1
 
1.2%
대주드림빌라 1
 
1.2%
Other values (47) 47
54.7%
2023-12-11T00:07:53.637380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 50
 
16.2%
1 30
 
9.7%
빌 22
 
7.1%
0 14
 
4.5%
B 12
 
3.9%
라 12
 
3.9%
2 8
 
2.6%
리 7
 
2.3%
A 6
 
1.9%
우 5
 
1.6%
Other values (90) 142
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
71.1%
Decimal Number 61
 
19.8%
Uppercase Letter 21
 
6.8%
Space Separator 5
 
1.6%
Dash Punctuation 1
 
0.3%
Letter Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
22.8%
빌 22
 
10.0%
라 12
 
5.5%
리 7
 
3.2%
우 5
 
2.3%
지 5
 
2.3%
하 4
 
1.8%
성 4
 
1.8%
대 4
 
1.8%
스 4
 
1.8%
Other values (74) 102
46.6%
Decimal Number
ValueCountFrequency (%)
1 30
49.2%
0 14
23.0%
2 8
 
13.1%
3 4
 
6.6%
4 2
 
3.3%
8 1
 
1.6%
9 1
 
1.6%
7 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 12
57.1%
A 6
28.6%
M 1
 
4.8%
J 1
 
4.8%
C 1
 
4.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
71.1%
Common 67
 
21.8%
Latin 22
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
22.8%
빌 22
 
10.0%
라 12
 
5.5%
리 7
 
3.2%
우 5
 
2.3%
지 5
 
2.3%
하 4
 
1.8%
성 4
 
1.8%
대 4
 
1.8%
스 4
 
1.8%
Other values (74) 102
46.6%
Common
ValueCountFrequency (%)
1 30
44.8%
0 14
20.9%
2 8
 
11.9%
5
 
7.5%
3 4
 
6.0%
4 2
 
3.0%
- 1
 
1.5%
8 1
 
1.5%
9 1
 
1.5%
7 1
 
1.5%
Latin
ValueCountFrequency (%)
B 12
54.5%
A 6
27.3%
M 1
 
4.5%
J 1
 
4.5%
C 1
 
4.5%
Ⅰ 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
71.1%
ASCII 88
28.6%
Number Forms 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 50
22.8%
빌 22
 
10.0%
라 12
 
5.5%
리 7
 
3.2%
우 5
 
2.3%
지 5
 
2.3%
하 4
 
1.8%
성 4
 
1.8%
대 4
 
1.8%
스 4
 
1.8%
Other values (74) 102
46.6%
ASCII
ValueCountFrequency (%)
1 30
34.1%
0 14
15.9%
B 12
 
13.6%
2 8
 
9.1%
A 6
 
6.8%
5
 
5.7%
3 4
 
4.5%
4 2
 
2.3%
- 1
 
1.1%
8 1
 
1.1%
Other values (5) 5
 
5.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

주용도코드(JYONGDO_CODE)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2000
496 
14000
 
3
4000
 
1

Length

Max length5
Median length4
Mean length4.006
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2000
2nd row2000
3rd row2000
4th row2000
5th row2000

Common Values

ValueCountFrequency (%)
2000 496
99.2%
14000 3
 
0.6%
4000 1
 
0.2%

Length

2023-12-11T00:07:53.934920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:07:54.130177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2000 496
99.2%
14000 3
 
0.6%
4000 1
 
0.2%

주용도명(JYONGDO)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
공동주택
496 
업무시설
 
2
제2종근린생활시설
 
2

Length

Max length9
Median length4
Mean length4.02
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 496
99.2%
업무시설 2
 
0.4%
제2종근린생활시설 2
 
0.4%

Length

2023-12-11T00:07:54.326222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:07:54.545359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 496
99.2%
업무시설 2
 
0.4%
제2종근린생활시설 2
 
0.4%

대지면적(DJAREA)
Real number (ℝ)

Distinct439
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.0505
Minimum46
Maximum9088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:54.949884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile112.3865
Q1183.9525
median238.8
Q3323.925
95-th percentile820.78
Maximum9088
Range9042
Interquartile range (IQR)139.9725

Descriptive statistics

Standard deviation556.45862
Coefficient of variation (CV)1.6220895
Kurtosis134.68484
Mean343.0505
Median Absolute Deviation (MAD)64.55
Skewness10.052151
Sum171525.25
Variance309646.2
MonotonicityNot monotonic
2023-12-11T00:07:55.324579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241.0 6
 
1.2%
238.0 5
 
1.0%
182.0 4
 
0.8%
179.0 4
 
0.8%
172.0 4
 
0.8%
185.0 4
 
0.8%
324.0 3
 
0.6%
357.0 3
 
0.6%
228.0 3
 
0.6%
119.0 3
 
0.6%
Other values (429) 461
92.2%
ValueCountFrequency (%)
46.0 1
0.2%
56.2 1
0.2%
62.5 1
0.2%
63.0 1
0.2%
66.0 1
0.2%
71.1 1
0.2%
86.0 2
0.4%
89.0 1
0.2%
91.05 1
0.2%
91.76 1
0.2%
ValueCountFrequency (%)
9088.0 1
0.2%
4882.0 1
0.2%
3442.9 1
0.2%
3041.5 1
0.2%
2649.8 1
0.2%
2416.5 1
0.2%
2214.7 1
0.2%
2139.7 1
0.2%
2100.8 1
0.2%
1860.0 1
0.2%

건축면적(GCAREA)
Real number (ℝ)

ZEROS 

Distinct467
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.88666
Minimum0
Maximum784.2
Zeros24
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:55.667605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.782
Q1100.4025
median130.785
Q3169.59
95-th percentile250.342
Maximum784.2
Range784.2
Interquartile range (IQR)69.1875

Descriptive statistics

Standard deviation79.074956
Coefficient of variation (CV)0.56527875
Kurtosis14.644172
Mean139.88666
Median Absolute Deviation (MAD)32.52
Skewness2.5629538
Sum69943.33
Variance6252.8487
MonotonicityNot monotonic
2023-12-11T00:07:56.026042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
4.8%
128.34 2
 
0.4%
126.72 2
 
0.4%
107.06 2
 
0.4%
141.95 2
 
0.4%
129.6 2
 
0.4%
116.28 2
 
0.4%
97.06 2
 
0.4%
135.7 2
 
0.4%
109.57 2
 
0.4%
Other values (457) 458
91.6%
ValueCountFrequency (%)
0.0 24
4.8%
38.45 1
 
0.2%
43.01 1
 
0.2%
45.93 1
 
0.2%
47.56 1
 
0.2%
48.89 1
 
0.2%
49.7 1
 
0.2%
52.53 1
 
0.2%
53.46 1
 
0.2%
54.8 1
 
0.2%
ValueCountFrequency (%)
784.2 1
0.2%
648.77 1
0.2%
528.95 1
0.2%
514.93 1
0.2%
468.96 1
0.2%
403.04 1
0.2%
398.32 1
0.2%
393.15 1
0.2%
382.09 1
0.2%
369.77 1
0.2%

건폐율(GPRATE)
Real number (ℝ)

ZEROS 

Distinct302
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.7789
Minimum0
Maximum71.82
Zeros76
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:56.335192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147.61
median57.31
Q359.55
95-th percentile59.97
Maximum71.82
Range71.82
Interquartile range (IQR)11.94

Descriptive statistics

Standard deviation21.318538
Coefficient of variation (CV)0.45572978
Kurtosis0.73778229
Mean46.7789
Median Absolute Deviation (MAD)2.58
Skewness-1.5444638
Sum23389.45
Variance454.48004
MonotonicityNot monotonic
2023-12-11T00:07:56.610643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
 
15.2%
59.98 8
 
1.6%
59.53 6
 
1.2%
59.95 6
 
1.2%
59.82 6
 
1.2%
59.86 5
 
1.0%
59.55 4
 
0.8%
59.71 4
 
0.8%
59.73 4
 
0.8%
59.79 4
 
0.8%
Other values (292) 377
75.4%
ValueCountFrequency (%)
0.0 76
15.2%
8.3 1
 
0.2%
10.78 1
 
0.2%
11.26 1
 
0.2%
15.67 1
 
0.2%
16.41 1
 
0.2%
21.19 1
 
0.2%
23.57 1
 
0.2%
25.27 1
 
0.2%
25.61 1
 
0.2%
ValueCountFrequency (%)
71.82 1
0.2%
71.27 1
0.2%
70.4 1
0.2%
69.98 1
0.2%
69.94 1
0.2%
69.89 1
0.2%
69.16 1
0.2%
68.2 1
0.2%
65.73 1
0.2%
65.57 1
0.2%

연면적(YAREA)
Real number (ℝ)

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568.8233
Minimum45.19
Maximum4599.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:56.894809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.19
5-th percentile199.3395
Q1348.495
median509.4
Q3657.2775
95-th percentile1086.122
Maximum4599.2
Range4554.01
Interquartile range (IQR)308.7825

Descriptive statistics

Standard deviation427.60515
Coefficient of variation (CV)0.75173634
Kurtosis28.891507
Mean568.8233
Median Absolute Deviation (MAD)149.385
Skewness4.4905233
Sum284411.65
Variance182846.16
MonotonicityNot monotonic
2023-12-11T00:07:57.242025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
659.2 3
 
0.6%
249.21 2
 
0.4%
657.2 2
 
0.4%
659.9 2
 
0.4%
659.22 2
 
0.4%
239.22 2
 
0.4%
369.43 2
 
0.4%
659.83 2
 
0.4%
545.8 2
 
0.4%
659.71 1
 
0.2%
Other values (480) 480
96.0%
ValueCountFrequency (%)
45.19 1
0.2%
48.36 1
0.2%
98.98 1
0.2%
111.19 1
0.2%
112.86 1
0.2%
124.59 1
0.2%
126.94 1
0.2%
134.31 1
0.2%
136.08 1
0.2%
139.66 1
0.2%
ValueCountFrequency (%)
4599.2 1
0.2%
3467.12 1
0.2%
3233.52 1
0.2%
3150.3 1
0.2%
2745.71 1
0.2%
2729.08 1
0.2%
2551.22 1
0.2%
2515.28 1
0.2%
2235.6 1
0.2%
2110.5 1
0.2%

지상연면적(JSYAREA)
Real number (ℝ)

ZEROS 

Distinct464
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean471.78102
Minimum0
Maximum8667.43
Zeros31
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:57.501745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1290.7475
median459.095
Q3582.85
95-th percentile826.5545
Maximum8667.43
Range8667.43
Interquartile range (IQR)292.1025

Descriptive statistics

Standard deviation460.38372
Coefficient of variation (CV)0.97584197
Kurtosis202.00915
Mean471.78102
Median Absolute Deviation (MAD)144.015
Skewness11.694038
Sum235890.51
Variance211953.17
MonotonicityNot monotonic
2023-12-11T00:07:57.758993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
6.2%
620.9 2
 
0.4%
494.46 2
 
0.4%
247.44 2
 
0.4%
659.84 2
 
0.4%
715.58 2
 
0.4%
659.54 2
 
0.4%
622.3 1
 
0.2%
358.13 1
 
0.2%
363.94 1
 
0.2%
Other values (454) 454
90.8%
ValueCountFrequency (%)
0.0 31
6.2%
79.86 1
 
0.2%
84.02 1
 
0.2%
91.8 1
 
0.2%
96.32 1
 
0.2%
99.0 1
 
0.2%
107.3 1
 
0.2%
107.64 1
 
0.2%
108.24 1
 
0.2%
112.34 1
 
0.2%
ValueCountFrequency (%)
8667.43 1
0.2%
2118.29 1
0.2%
2014.2 1
0.2%
1816.34 1
0.2%
1735.68 1
0.2%
1610.14 1
0.2%
1566.48 1
0.2%
1562.28 1
0.2%
1546.56 1
0.2%
1455.81 1
0.2%

용적률(YJRATE)
Real number (ℝ)

ZEROS 

Distinct403
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.0603
Minimum0
Maximum438.82
Zeros83
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:58.087517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1112.9
median191.15
Q3208.165
95-th percentile249.913
Maximum438.82
Range438.82
Interquartile range (IQR)95.265

Descriptive statistics

Standard deviation84.360386
Coefficient of variation (CV)0.53036733
Kurtosis-0.10357168
Mean159.0603
Median Absolute Deviation (MAD)31.61
Skewness-0.76663211
Sum79530.15
Variance7116.6747
MonotonicityNot monotonic
2023-12-11T00:07:58.460668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 83
 
16.6%
199.57 3
 
0.6%
177.39 2
 
0.4%
183.5 2
 
0.4%
199.48 2
 
0.4%
197.32 2
 
0.4%
207.03 2
 
0.4%
199.28 2
 
0.4%
199.75 2
 
0.4%
199.94 2
 
0.4%
Other values (393) 398
79.6%
ValueCountFrequency (%)
0.0 83
16.6%
25.6 1
 
0.2%
32.12 1
 
0.2%
39.76 1
 
0.2%
49.46 1
 
0.2%
53.98 1
 
0.2%
57.47 1
 
0.2%
81.09 1
 
0.2%
81.46 1
 
0.2%
81.58 1
 
0.2%
ValueCountFrequency (%)
438.82 1
0.2%
358.54 1
0.2%
338.92 1
0.2%
333.45 1
0.2%
329.71 1
0.2%
313.95 1
0.2%
309.74 1
0.2%
299.85 1
0.2%
299.32 1
0.2%
299.21 1
0.2%

건물높이(HIGH)
Real number (ℝ)

ZEROS 

Distinct175
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.16042
Minimum0
Maximum32.9
Zeros99
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:59.007372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.275
median13
Q314.5625
95-th percentile18.705
Maximum32.9
Range32.9
Interquartile range (IQR)4.2875

Descriptive statistics

Standard deviation6.1444148
Coefficient of variation (CV)0.55055408
Kurtosis-0.030331597
Mean11.16042
Median Absolute Deviation (MAD)1.825
Skewness-0.77065105
Sum5580.21
Variance37.753833
MonotonicityNot monotonic
2023-12-11T00:07:59.431837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 99
 
19.8%
12.8 17
 
3.4%
13.2 13
 
2.6%
12.9 10
 
2.0%
11.7 9
 
1.8%
13.7 8
 
1.6%
14.3 8
 
1.6%
14.2 8
 
1.6%
14.5 7
 
1.4%
13.1 7
 
1.4%
Other values (165) 314
62.8%
ValueCountFrequency (%)
0.0 99
19.8%
4.4 1
 
0.2%
6.4 1
 
0.2%
7.0 1
 
0.2%
7.2 1
 
0.2%
7.6 3
 
0.6%
7.7 2
 
0.4%
7.8 2
 
0.4%
7.9 2
 
0.4%
8.55 1
 
0.2%
ValueCountFrequency (%)
32.9 1
0.2%
25.3 1
0.2%
24.95 1
0.2%
23.7 1
0.2%
23.37 1
0.2%
22.64 1
0.2%
21.6 1
0.2%
21.35 1
0.2%
21.1 1
0.2%
20.3 1
0.2%

지상_층수(JSFLOOR)
Real number (ℝ)

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.234
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:07:59.740559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q35
95-th percentile6
Maximum9
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.222388
Coefficient of variation (CV)0.28870761
Kurtosis-0.084409884
Mean4.234
Median Absolute Deviation (MAD)1
Skewness-0.34240502
Sum2117
Variance1.4942325
MonotonicityNot monotonic
2023-12-11T00:07:59.988239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 191
38.2%
4 139
27.8%
2 70
 
14.0%
6 49
 
9.8%
3 47
 
9.4%
7 2
 
0.4%
9 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
2 70
 
14.0%
3 47
 
9.4%
4 139
27.8%
5 191
38.2%
6 49
 
9.8%
7 2
 
0.4%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
9 1
 
0.2%
8 1
 
0.2%
7 2
 
0.4%
6 49
 
9.8%
5 191
38.2%
4 139
27.8%
3 47
 
9.4%
2 70
 
14.0%

지하_층수(JHFLOOR)
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
248 
0
247 
2
 
5

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 (%)
1 248
49.6%
0 247
49.4%
2 5
 
1.0%

Length

2023-12-11T00:08:00.257890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:00.487390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 248
49.6%
0 247
49.4%
2 5
 
1.0%

세대_수(SEDECNT)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.082
Minimum0
Maximum36
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:00.698497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q310
95-th percentile18
Maximum36
Range36
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.3764807
Coefficient of variation (CV)0.48188512
Kurtosis4.8588249
Mean9.082
Median Absolute Deviation (MAD)2
Skewness1.6887424
Sum4541
Variance19.153583
MonotonicityNot monotonic
2023-12-11T00:08:01.113681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 105
21.0%
6 73
14.6%
10 57
11.4%
7 44
8.8%
9 38
 
7.6%
4 24
 
4.8%
12 23
 
4.6%
11 20
 
4.0%
5 20
 
4.0%
16 18
 
3.6%
Other values (15) 78
15.6%
ValueCountFrequency (%)
0 1
 
0.2%
1 1
 
0.2%
2 2
 
0.4%
3 18
 
3.6%
4 24
 
4.8%
5 20
 
4.0%
6 73
14.6%
7 44
8.8%
8 105
21.0%
9 38
 
7.6%
ValueCountFrequency (%)
36 1
 
0.2%
28 3
 
0.6%
24 3
 
0.6%
21 1
 
0.2%
20 5
 
1.0%
19 7
 
1.4%
18 10
2.0%
17 4
 
0.8%
16 18
3.6%
15 8
1.6%

사용_승인일(SYDATE)
Real number (ℝ)

Distinct474
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20026034
Minimum19740604
Maximum20210525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:01.468520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19740604
5-th percentile19851211
Q119931222
median20030306
Q320121040
95-th percentile20181658
Maximum20210525
Range469921
Interquartile range (IQR)189817.75

Descriptive statistics

Standard deviation111574.94
Coefficient of variation (CV)0.0055714948
Kurtosis-0.72268434
Mean20026034
Median Absolute Deviation (MAD)90799.5
Skewness-0.30445595
Sum1.0013017 × 1010
Variance1.2448968 × 1010
MonotonicityNot monotonic
2023-12-11T00:08:01.780122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120620 2
 
0.4%
20020823 2
 
0.4%
19860628 2
 
0.4%
20030418 2
 
0.4%
20020821 2
 
0.4%
20140124 2
 
0.4%
20020906 2
 
0.4%
20171013 2
 
0.4%
20151222 2
 
0.4%
20170220 2
 
0.4%
Other values (464) 480
96.0%
ValueCountFrequency (%)
19740604 1
0.2%
19741026 1
0.2%
19741230 1
0.2%
19750523 1
0.2%
19751229 1
0.2%
19761005 1
0.2%
19761218 1
0.2%
19761227 1
0.2%
19770629 1
0.2%
19770924 1
0.2%
ValueCountFrequency (%)
20210525 1
0.2%
20210513 1
0.2%
20210504 1
0.2%
20210203 1
0.2%
20200828 1
0.2%
20200724 1
0.2%
20200513 1
0.2%
20200217 1
0.2%
20200130 1
0.2%
20200102 1
0.2%

건축년도(BUILDYEAR)
Categorical

Distinct23
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
247 
2002
48 
2015
27 
2003
 
22
2016
 
22
Other values (18)
134 

Length

Max length4
Median length4
Mean length2.518
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2002

Common Values

ValueCountFrequency (%)
0 247
49.4%
2002 48
 
9.6%
2015 27
 
5.4%
2003 22
 
4.4%
2016 22
 
4.4%
2012 16
 
3.2%
2019 13
 
2.6%
2018 12
 
2.4%
2014 12
 
2.4%
2011 11
 
2.2%
Other values (13) 70
 
14.0%

Length

2023-12-11T00:08:02.041905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 247
49.4%
2002 48
 
9.6%
2015 27
 
5.4%
2003 22
 
4.4%
2016 22
 
4.4%
2012 16
 
3.2%
2019 13
 
2.6%
2018 12
 
2.4%
2014 12
 
2.4%
2011 11
 
2.2%
Other values (13) 70
 
14.0%

지역지구(JYJG)
Categorical

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
제2종일반주거지역
183 
<NA>
111 
일반주거지역
109 
제1종일반주거지역
37 
도시지역
21 
Other values (5)
39 

Length

Max length9
Median length6
Mean length6.844
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row제2종일반주거지역
2nd row제2종일반주거지역
3rd row제2종일반주거지역
4th row제1종일반주거지역
5th row제2종일반주거지역

Common Values

ValueCountFrequency (%)
제2종일반주거지역 183
36.6%
<NA> 111
22.2%
일반주거지역 109
21.8%
제1종일반주거지역 37
 
7.4%
도시지역 21
 
4.2%
제3종일반주거지역 15
 
3.0%
준주거지역 14
 
2.8%
준공업지역 8
 
1.6%
도시개발구역 1
 
0.2%
제2종전용주거지역 1
 
0.2%

Length

2023-12-11T00:08:02.253350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:02.473772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2종일반주거지역 183
36.6%
na 111
22.2%
일반주거지역 109
21.8%
제1종일반주거지역 37
 
7.4%
도시지역 21
 
4.2%
제3종일반주거지역 15
 
3.0%
준주거지역 14
 
2.8%
준공업지역 8
 
1.6%
도시개발구역 1
 
0.2%
제2종전용주거지역 1
 
0.2%

전세시세_산정_세대_수(HO_COUNT1)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.25
Minimum0
Maximum64
Zeros20
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:02.795670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15.75
median8
Q310
95-th percentile16
Maximum64
Range64
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation5.1314875
Coefficient of variation (CV)0.62199849
Kurtosis28.67667
Mean8.25
Median Absolute Deviation (MAD)2
Skewness3.2358378
Sum4125
Variance26.332164
MonotonicityNot monotonic
2023-12-11T00:08:03.473813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 114
22.8%
4 52
10.4%
6 47
9.4%
7 45
 
9.0%
10 36
 
7.2%
12 33
 
6.6%
0 20
 
4.0%
2 18
 
3.6%
5 18
 
3.6%
9 17
 
3.4%
Other values (15) 100
20.0%
ValueCountFrequency (%)
0 20
 
4.0%
1 2
 
0.4%
2 18
 
3.6%
3 15
 
3.0%
4 52
10.4%
5 18
 
3.6%
6 47
9.4%
7 45
 
9.0%
8 114
22.8%
9 17
 
3.4%
ValueCountFrequency (%)
64 1
 
0.2%
30 1
 
0.2%
29 2
 
0.4%
28 1
 
0.2%
21 2
 
0.4%
19 4
 
0.8%
18 5
 
1.0%
17 1
 
0.2%
16 15
3.0%
15 16
3.2%

월세시세_산정_세대_수(HO_COUNT2)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.58
Minimum0
Maximum36
Zeros37
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:03.818035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q310
95-th percentile16
Maximum36
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8001753
Coefficient of variation (CV)0.63326852
Kurtosis4.7510037
Mean7.58
Median Absolute Deviation (MAD)3
Skewness1.3792854
Sum3790
Variance23.041683
MonotonicityNot monotonic
2023-12-11T00:08:04.100198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8 116
23.2%
4 65
13.0%
6 53
10.6%
12 41
 
8.2%
0 37
 
7.4%
7 37
 
7.4%
10 29
 
5.8%
3 20
 
4.0%
2 15
 
3.0%
16 12
 
2.4%
Other values (17) 75
15.0%
ValueCountFrequency (%)
0 37
 
7.4%
1 4
 
0.8%
2 15
 
3.0%
3 20
 
4.0%
4 65
13.0%
5 11
 
2.2%
6 53
10.6%
7 37
 
7.4%
8 116
23.2%
9 10
 
2.0%
ValueCountFrequency (%)
36 1
 
0.2%
30 1
 
0.2%
29 2
0.4%
24 3
0.6%
23 1
 
0.2%
22 1
 
0.2%
21 1
 
0.2%
19 2
0.4%
18 2
0.4%
17 1
 
0.2%

Sample

PNU코드(PNU)기준년월(KEYMONTH)표제부_키코드(PKCODE1)주소(ADDRESS)자치구코드(SREG)법정동코드(SEUB)대지구분(DAEJI)본번(BUNJI1)부번(BUNJI2)경도(LNG)위도(LAT)건물이름(BLDNAME)(건물)동이름(DONGNAME)주용도코드(JYONGDO_CODE)주용도명(JYONGDO)대지면적(DJAREA)건축면적(GCAREA)건폐율(GPRATE)연면적(YAREA)지상연면적(JSYAREA)용적률(YJRATE)건물높이(HIGH)지상_층수(JSFLOOR)지하_층수(JHFLOOR)세대_수(SEDECNT)사용_승인일(SYDATE)건축년도(BUILDYEAR)지역지구(JYJG)전세시세_산정_세대_수(HO_COUNT1)월세시세_산정_세대_수(HO_COUNT2)
0115901040010049001320201011230-34252서**별**강** **동**3**2**116801030013274126.91313437.623209<NA>101동2000공동주택194.0113.070.0461.32311.29198.240.0308201012020제2종일반주거지역1929
1117401050010356000120201211590-11713서**별**강** **산**6**-**1171010200139463126.92828837.48552<NA><NA>2000공동주택148.5559.670.0639.45413.98199.460.0509201605090제2종일반주거지역1512
2115001030010956003620200211215-14615서**별**도** **동**3**3**1141010900119816127.13199437.604888명*빌*모*<NA>2000공동주택196.3145.2643.1472.05462.720.018.32016199111080제2종일반주거지역136
3113201070010676003720200311110-2355서**별**은** **동**9**4**115901020012914127.08020937.55741삼*아*빌<NA>2000공동주택391.0160.740.0495.4218.160.016.755015199012080제1종일반주거지역74
4115601160010233000120200611530-17359서**별**은** **동**0**1**1150011900147234127.00408637.494026<NA><NA>2000공동주택466.0109.0456.26540.7449.64197.9410.3503202105132002제2종일반주거지역36
5112151030010029001820210211530-100240377서**별**관** **동**9**8**11440105001153283127.04195237.507595<NA>나동2000공동주택178.0177.3846.17180.85464.52213.5315.53012201608050제2종일반주거지역411
6112301090010295002220200811200-100190332서**별**은** **동**9**5**1141010600146314126.92985937.582096에*엠*리*<NA>2000공동주택378.6114.2269.89787.52335.16195.170.0311198912190제1종일반주거지역126
7116201020010095007920210511290-4109서**별**송** **동**3**2**117101620015712127.15642737.50335<NA><NA>2000공동주택154.1106.1757.53550.2279.86223.3612.95418200409162020제2종일반주거지역167
8111701310010686000720200211590-27456서**별**강** **동**4**1**116501070011781127.07934637.487539<NA><NA>2000공동주택179.5223.8344.14229.5781.26184.211.655112200303282014제2종일반주거지역84
9113051010010258027520210111500-27566서**별**서** **동**2**6**1171010200139778126.90899637.653059호*리*빌*차<NA>2000공동주택390.0128.8854.92411.77357.40.07.75113201812072008일반주거지역183
PNU코드(PNU)기준년월(KEYMONTH)표제부_키코드(PKCODE1)주소(ADDRESS)자치구코드(SREG)법정동코드(SEUB)대지구분(DAEJI)본번(BUNJI1)부번(BUNJI2)경도(LNG)위도(LAT)건물이름(BLDNAME)(건물)동이름(DONGNAME)주용도코드(JYONGDO_CODE)주용도명(JYONGDO)대지면적(DJAREA)건축면적(GCAREA)건폐율(GPRATE)연면적(YAREA)지상연면적(JSYAREA)용적률(YJRATE)건물높이(HIGH)지상_층수(JSFLOOR)지하_층수(JHFLOOR)세대_수(SEDECNT)사용_승인일(SYDATE)건축년도(BUILDYEAR)지역지구(JYJG)전세시세_산정_세대_수(HO_COUNT1)월세시세_산정_세대_수(HO_COUNT2)
490116201020010098012720201111215-100242169서**별**종** **동**6**11305103001928127.13754237.506107행*한*대림캐슬2000공동주택268.0150.240.0249.21719.47147.2413.573119199604122020제2종일반주거지역1511
491116501010010539017820200611710-22794서**별**광** ** **7**116501080011560126.90851137.522627유*주*뜰*을<NA>2000공동주택295.5147.6154.76686.23375.44199.4813.2517201010212017일반주거지역105
492117401050010140000020210111215-20327서**별**송** **동**9**1162010900167525127.08570737.47423<NA><NA>2000공동주택249.93368.859.871067.17601.16197.3213.9407201903250일반주거지역48
493113801040010244001820210411380-100266561서**별**구** **동**1**3**1159010100124927127.03096837.489963마*대*밸*<NA>2000공동주택119.0113.8665.57658.91475.51236.440.0506201208210제2종일반주거지역1812
494115001090010497001820210411260-100219321서**별**송** **동**0**117401060019951126.92437637.508643<NA>102동2000공동주택310.368.159.73254.6437.81184.8214.95518198707132018준공업지역010
495116201020010563000620200411380-100203824서**별**중** **동**1**4**115301020015844127.0832237.492252<NA><NA>2000공동주택206.5228.4555.72329.56494.194.0314.33111201702202014제2종일반주거지역66
496116801070010506000220200911710-16592서**별**은** **동**2**4**1147012500124418127.10905737.486123스*이*<NA>2000공동주택198.5117.0459.682515.28465.03209.920.0207200712142002도시지역144
497116201010010728004920201011200-11805서**별**강** **동**6**1**115001030019563127.03378337.591471<NA><NA>2000공동주택116.3678.0659.71368.88610.63254.5913.8318202005132002제2종일반주거지역124
498116201010010457013920200311500-4535서**별**구** **동**4**6**116201020019535127.0918937.50343<NA>성원쉐르빌2000공동주택164.8185.3353.171084.9533.980.015.4419200901130제2종일반주거지역87
499113801020010090001020210111440-100237534서**별**서** **동**1**9**1147010500135216127.07437637.448154혜*팰*스<NA>2000공동주택334.2127.680.0594.88538.53228.660.0408198904122002<NA>86