Overview

Dataset statistics

Number of variables21
Number of observations500
Missing cells671
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.5 KiB
Average record size in memory181.3 B

Variable types

Numeric9
Text6
Categorical6

Dataset

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

Alerts

대지구분(DAEJI) has constant value ""Constant
지상지하구분(FLOORTYPE) is highly imbalanced (65.7%)Imbalance
건물골조(GUJONAME) is highly imbalanced (74.2%)Imbalance
지붕구조(ROOFNAME) is highly imbalanced (88.4%)Imbalance
건물이름(BLDNAME) has 249 (49.8%) missing valuesMissing
건물(동)이름(DONGNAME) has 394 (78.8%) missing valuesMissing
공용면적(GYAREA) has 28 (5.6%) missing valuesMissing
전유부_키코드(PKCODE2) has unique valuesUnique
부번(BUNJI2) has 16 (3.2%) zerosZeros

Reproduction

Analysis started2023-12-10 15:08:08.307147
Analysis finished2023-12-10 15:08:09.212875
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PNU코드(PNU)
Real number (ℝ)

Distinct498
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1464529 × 1018
Minimum1.1110173 × 1018
Maximum1.1740109 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:09.418572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110173 × 1018
5-th percentile1.1170125 × 1018
Q11.1305103 × 1018
median1.1470103 × 1018
Q31.1620102 × 1018
95-th percentile1.1740101 × 1018
Maximum1.1740109 × 1018
Range6.29936 × 1016
Interquartile range (IQR)3.14999 × 1016

Descriptive statistics

Standard deviation1.8525772 × 1016
Coefficient of variation (CV)0.016159208
Kurtosis-1.225187
Mean1.1464529 × 1018
Median Absolute Deviation (MAD)1.65 × 1016
Skewness-0.12482133
Sum1.3773948 × 1018
Variance3.4320421 × 1032
MonotonicityNot monotonic
2023-12-11T00:08:09.807176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123010900101830245 2
 
0.4%
1150010300103670070 2
 
0.4%
1165010200102470006 1
 
0.2%
1138010700105810029 1
 
0.2%
1130510300104750127 1
 
0.2%
1129013800100650203 1
 
0.2%
1135010300106090050 1
 
0.2%
1147010300110720000 1
 
0.2%
1162010200102550179 1
 
0.2%
1171011100101440030 1
 
0.2%
Other values (488) 488
97.6%
ValueCountFrequency (%)
1111017300100010835 1
0.2%
1111017400100230008 1
0.2%
1111017400101400010 1
0.2%
1111017400106680011 1
0.2%
1111017500101780135 1
0.2%
1111017500101810014 1
0.2%
1111018100102100065 1
0.2%
1111018200100530005 1
0.2%
1111018600100090003 1
0.2%
1111018600102350014 1
0.2%
ValueCountFrequency (%)
1174010900103940002 1
0.2%
1174010900103380047 1
0.2%
1174010900103140026 1
0.2%
1174010900102990027 1
0.2%
1174010900102140047 1
0.2%
1174010900101850001 1
0.2%
1174010900101670120 1
0.2%
1174010900100530007 1
0.2%
1174010900100170004 1
0.2%
1174010800104620034 1
0.2%

기준년월(KEYMONTH)
Real number (ℝ)

Distinct17
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202038.26
Minimum202001
Maximum202105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:10.122196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202001
5-th percentile202002
Q1202005
median202010
Q3202102
95-th percentile202105
Maximum202105
Range104
Interquartile range (IQR)97

Descriptive statistics

Standard deviation45.402567
Coefficient of variation (CV)0.00022472261
Kurtosis-1.463247
Mean202038.26
Median Absolute Deviation (MAD)7
Skewness0.72350084
Sum1.0101913 × 108
Variance2061.3931
MonotonicityNot monotonic
2023-12-11T00:08:10.500771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
202003 45
 
9.0%
202105 38
 
7.6%
202102 35
 
7.0%
202010 34
 
6.8%
202011 32
 
6.4%
202103 31
 
6.2%
202101 31
 
6.2%
202012 29
 
5.8%
202104 29
 
5.8%
202006 29
 
5.8%
Other values (7) 167
33.4%
ValueCountFrequency (%)
202001 23
4.6%
202002 22
4.4%
202003 45
9.0%
202004 18
 
3.6%
202005 27
5.4%
202006 29
5.8%
202007 29
5.8%
202008 26
5.2%
202009 22
4.4%
202010 34
6.8%
ValueCountFrequency (%)
202105 38
7.6%
202104 29
5.8%
202103 31
6.2%
202102 35
7.0%
202101 31
6.2%
202012 29
5.8%
202011 32
6.4%
202010 34
6.8%
202009 22
4.4%
202008 26
5.2%

표제부_키코드(PKCODE1)
Text

Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:08:11.053498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length12.556
Min length9

Characters and Unicode

Total characters6278
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

Unique498 ?
Unique (%)99.6%

Sample

1st row11740-3077
2nd row11500-22841
3rd row11380-100271094
4th row11560-100203019
5th row11380-100253899
ValueCountFrequency (%)
11500-27088 2
 
0.4%
11620-100232612 1
 
0.2%
11740-13793 1
 
0.2%
11470-100197946 1
 
0.2%
11500-5548 1
 
0.2%
11680-10248 1
 
0.2%
11710-100530322 1
 
0.2%
11320-13060 1
 
0.2%
11650-100182348 1
 
0.2%
11740-100254046 1
 
0.2%
Other values (489) 489
97.8%
2023-12-11T00:08:11.891754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1679
26.7%
0 1165
18.6%
2 578
 
9.2%
- 500
 
8.0%
5 411
 
6.5%
3 372
 
5.9%
4 372
 
5.9%
7 327
 
5.2%
6 304
 
4.8%
8 301
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5778
92.0%
Dash Punctuation 500
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1679
29.1%
0 1165
20.2%
2 578
 
10.0%
5 411
 
7.1%
3 372
 
6.4%
4 372
 
6.4%
7 327
 
5.7%
6 304
 
5.3%
8 301
 
5.2%
9 269
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1679
26.7%
0 1165
18.6%
2 578
 
9.2%
- 500
 
8.0%
5 411
 
6.5%
3 372
 
5.9%
4 372
 
5.9%
7 327
 
5.2%
6 304
 
4.8%
8 301
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1679
26.7%
0 1165
18.6%
2 578
 
9.2%
- 500
 
8.0%
5 411
 
6.5%
3 372
 
5.9%
4 372
 
5.9%
7 327
 
5.2%
6 304
 
4.8%
8 301
 
4.8%

전유부_키코드(PKCODE2)
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:08:12.446861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length13.03
Min length11

Characters and Unicode

Total characters6515
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 row11500-79891
2nd row11410-66206
3rd row11740-100200857
4th row11440-100210680
5th row11290-100235343
ValueCountFrequency (%)
11500-79891 1
 
0.2%
11470-79054 1
 
0.2%
11260-100212868 1
 
0.2%
11500-99935 1
 
0.2%
11740-31581 1
 
0.2%
11215-39905 1
 
0.2%
11560-100263305 1
 
0.2%
11560-116107 1
 
0.2%
11500-100270073 1
 
0.2%
11350-100198873 1
 
0.2%
Other values (490) 490
98.0%
2023-12-11T00:08:13.470978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1703
26.1%
0 1227
18.8%
2 560
 
8.6%
- 500
 
7.7%
5 421
 
6.5%
3 408
 
6.3%
7 387
 
5.9%
4 362
 
5.6%
8 347
 
5.3%
6 318
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6015
92.3%
Dash Punctuation 500
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1703
28.3%
0 1227
20.4%
2 560
 
9.3%
5 421
 
7.0%
3 408
 
6.8%
7 387
 
6.4%
4 362
 
6.0%
8 347
 
5.8%
6 318
 
5.3%
9 282
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6515
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1703
26.1%
0 1227
18.8%
2 560
 
8.6%
- 500
 
7.7%
5 421
 
6.5%
3 408
 
6.3%
7 387
 
5.9%
4 362
 
5.6%
8 347
 
5.3%
6 318
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1703
26.1%
0 1227
18.8%
2 560
 
8.6%
- 500
 
7.7%
5 421
 
6.5%
3 408
 
6.3%
7 387
 
5.9%
4 362
 
5.6%
8 347
 
5.3%
6 318
 
4.9%

주소(ADDRESS)
Text

Distinct396
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:08:14.120217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length20.784
Min length18

Characters and Unicode

Total characters10392
Distinct characters52
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

Unique315 ?
Unique (%)63.0%

Sample

1st row서**별**서** **동**5**5**
2nd row서**별**성** **동** **0**
3rd row서**별**강** **동**7**8**
4th row서**별**관** **동**3**2**
5th row서**별**노** **동**3**1**
ValueCountFrequency (%)
서**별**강 103
 
10.3%
서**별**은 45
 
4.5%
서**별**송 44
 
4.4%
서**별**광 41
 
4.1%
서**별**마 29
 
2.9%
28
 
2.8%
서**별**양 25
 
2.5%
서**별**성 21
 
2.1%
서**별**금 20
 
2.0%
서**별**관 19
 
1.9%
Other values (187) 621
62.3%
2023-12-11T00:08:15.016366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6928
66.7%
서 539
 
5.2%
별 500
 
4.8%
496
 
4.8%
동 437
 
4.2%
1 172
 
1.7%
2 126
 
1.2%
강 103
 
1.0%
3 100
 
1.0%
4 86
 
0.8%
Other values (42) 905
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 6928
66.7%
Other Letter 2025
 
19.5%
Decimal Number 881
 
8.5%
Space Separator 496
 
4.8%
Dash Punctuation 62
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 539
26.6%
별 500
24.7%
동 437
21.6%
강 103
 
5.1%
구 66
 
3.3%
은 50
 
2.5%
송 44
 
2.2%
광 41
 
2.0%
마 29
 
1.4%
양 25
 
1.2%
Other values (29) 191
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 172
19.5%
2 126
14.3%
3 100
11.4%
4 86
9.8%
5 79
9.0%
7 71
8.1%
6 71
8.1%
0 66
 
7.5%
8 57
 
6.5%
9 53
 
6.0%
Other Punctuation
ValueCountFrequency (%)
* 6928
100.0%
Space Separator
ValueCountFrequency (%)
496
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8367
80.5%
Hangul 2025
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 539
26.6%
별 500
24.7%
동 437
21.6%
강 103
 
5.1%
구 66
 
3.3%
은 50
 
2.5%
송 44
 
2.2%
광 41
 
2.0%
마 29
 
1.4%
양 25
 
1.2%
Other values (29) 191
 
9.4%
Common
ValueCountFrequency (%)
* 6928
82.8%
496
 
5.9%
1 172
 
2.1%
2 126
 
1.5%
3 100
 
1.2%
4 86
 
1.0%
5 79
 
0.9%
7 71
 
0.8%
6 71
 
0.8%
0 66
 
0.8%
Other values (3) 172
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8367
80.5%
Hangul 2025
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6928
82.8%
496
 
5.9%
1 172
 
2.1%
2 126
 
1.5%
3 100
 
1.2%
4 86
 
1.0%
5 79
 
0.9%
7 71
 
0.8%
6 71
 
0.8%
0 66
 
0.8%
Other values (3) 172
 
2.1%
Hangul
ValueCountFrequency (%)
서 539
26.6%
별 500
24.7%
동 437
21.6%
강 103
 
5.1%
구 66
 
3.3%
은 50
 
2.5%
송 44
 
2.2%
광 41
 
2.0%
마 29
 
1.4%
양 25
 
1.2%
Other values (29) 191
 
9.4%

자치구코드(SREG)
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11450.44
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:15.297765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11200
Q111305
median11440
Q311590
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)285

Descriptive statistics

Standard deviation171.29475
Coefficient of variation (CV)0.014959665
Kurtosis-1.1193376
Mean11450.44
Median Absolute Deviation (MAD)150
Skewness0.018152256
Sum5725220
Variance29341.89
MonotonicityNot monotonic
2023-12-11T00:08:15.556184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11710 42
 
8.4%
11380 41
 
8.2%
11500 40
 
8.0%
11290 34
 
6.8%
11680 28
 
5.6%
11620 27
 
5.4%
11260 27
 
5.4%
11470 27
 
5.4%
11410 25
 
5.0%
11215 23
 
4.6%
Other values (15) 186
37.2%
ValueCountFrequency (%)
11110 7
 
1.4%
11140 4
 
0.8%
11170 12
 
2.4%
11200 9
 
1.8%
11215 23
4.6%
11230 8
 
1.6%
11260 27
5.4%
11290 34
6.8%
11305 19
3.8%
11320 17
3.4%
ValueCountFrequency (%)
11740 11
 
2.2%
11710 42
8.4%
11680 28
5.6%
11650 15
 
3.0%
11620 27
5.4%
11590 20
4.0%
11560 6
 
1.2%
11545 14
 
2.8%
11530 18
3.6%
11500 40
8.0%

법정동코드(SEUB)
Real number (ℝ)

Distinct42
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10954.4
Minimum10100
Maximum18600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:15.884736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100
5-th percentile10100
Q110200
median10500
Q310800
95-th percentile13600
Maximum18600
Range8500
Interquartile range (IQR)600

Descriptive statistics

Standard deviation1433.7335
Coefficient of variation (CV)0.13088198
Kurtosis11.10164
Mean10954.4
Median Absolute Deviation (MAD)300
Skewness3.2373443
Sum5477200
Variance2055591.8
MonotonicityNot monotonic
2023-12-11T00:08:16.146462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10300 72
14.4%
10100 69
13.8%
10200 66
13.2%
10800 51
10.2%
10600 36
 
7.2%
10700 33
 
6.6%
10500 29
 
5.8%
10400 22
 
4.4%
10900 18
 
3.6%
11000 9
 
1.8%
Other values (32) 95
19.0%
ValueCountFrequency (%)
10100 69
13.8%
10200 66
13.2%
10300 72
14.4%
10400 22
 
4.4%
10500 29
5.8%
10600 36
7.2%
10700 33
6.6%
10800 51
10.2%
10900 18
 
3.6%
11000 9
 
1.8%
ValueCountFrequency (%)
18600 1
 
0.2%
18400 1
 
0.2%
18300 1
 
0.2%
17500 1
 
0.2%
17400 3
0.6%
17100 1
 
0.2%
17000 2
 
0.4%
16800 2
 
0.4%
16600 1
 
0.2%
16200 6
1.2%

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

2023-12-11T00:08:16.434379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:16.654555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 500
100.0%

본번(BUNJI1)
Real number (ℝ)

Distinct358
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.088
Minimum1
Maximum1710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:16.871150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q1123.5
median279.5
Q3495.5
95-th percentile957.1
Maximum1710
Range1709
Interquartile range (IQR)372

Descriptive statistics

Standard deviation329.40465
Coefficient of variation (CV)0.9047391
Kurtosis3.0242801
Mean364.088
Median Absolute Deviation (MAD)176.5
Skewness1.5920593
Sum182044
Variance108507.42
MonotonicityNot monotonic
2023-12-11T00:08:17.190459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
1.4%
137 4
 
0.8%
312 4
 
0.8%
410 4
 
0.8%
244 4
 
0.8%
376 4
 
0.8%
3 4
 
0.8%
12 4
 
0.8%
432 3
 
0.6%
161 3
 
0.6%
Other values (348) 459
91.8%
ValueCountFrequency (%)
1 7
1.4%
2 1
 
0.2%
3 4
0.8%
4 3
0.6%
5 2
 
0.4%
6 1
 
0.2%
8 3
0.6%
9 1
 
0.2%
10 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
1710 1
0.2%
1692 1
0.2%
1688 1
0.2%
1645 1
0.2%
1628 1
0.2%
1561 1
0.2%
1559 1
0.2%
1528 1
0.2%
1487 2
0.4%
1465 1
0.2%

부번(BUNJI2)
Real number (ℝ)

ZEROS 

Distinct152
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.214
Minimum0
Maximum2796
Zeros16
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:17.430393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median20
Q352.25
95-th percentile316.15
Maximum2796
Range2796
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation209.87205
Coefficient of variation (CV)2.9890342
Kurtosis109.22718
Mean70.214
Median Absolute Deviation (MAD)16
Skewness9.3393883
Sum35107
Variance44046.277
MonotonicityNot monotonic
2023-12-11T00:08:17.708526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 20
 
4.0%
3 19
 
3.8%
2 19
 
3.8%
11 17
 
3.4%
5 17
 
3.4%
6 16
 
3.2%
0 16
 
3.2%
7 15
 
3.0%
4 15
 
3.0%
9 14
 
2.8%
Other values (142) 332
66.4%
ValueCountFrequency (%)
0 16
3.2%
1 20
4.0%
2 19
3.8%
3 19
3.8%
4 15
3.0%
5 17
3.4%
6 16
3.2%
7 15
3.0%
8 13
2.6%
9 14
2.8%
ValueCountFrequency (%)
2796 1
0.2%
2703 1
0.2%
1238 1
0.2%
1204 1
0.2%
596 1
0.2%
581 2
0.4%
538 1
0.2%
536 1
0.2%
529 1
0.2%
514 1
0.2%

건물이름(BLDNAME)
Text

MISSING 

Distinct234
Distinct (%)93.2%
Missing249
Missing (%)49.8%
Memory size4.0 KiB
2023-12-11T00:08:18.237383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.2828685
Min length1

Characters and Unicode

Total characters1326
Distinct characters189
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

Unique219 ?
Unique (%)87.3%

Sample

1st row이*주*
2nd row미*벨
3rd row일*연*주*
4th row베*트*
5th row유*3*
ValueCountFrequency (%)
4
 
1.5%
베*트 3
 
1.1%
대*빌 3
 
1.1%
신*빌 3
 
1.1%
유*빌 3
 
1.1%
아*힐 3
 
1.1%
스*트 2
 
0.7%
삼*빌 2
 
0.7%
로*빌 2
 
0.7%
청*평*하*맨 2
 
0.7%
Other values (232) 240
89.9%
2023-12-11T00:08:19.643849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 600
45.2%
빌 85
 
6.4%
스 42
 
3.2%
하 36
 
2.7%
동 19
 
1.4%
트 17
 
1.3%
대 17
 
1.3%
16
 
1.2%
리 16
 
1.2%
그 11
 
0.8%
Other values (179) 467
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
49.0%
Other Punctuation 600
45.2%
Uppercase Letter 33
 
2.5%
Space Separator 16
 
1.2%
Decimal Number 16
 
1.2%
Lowercase Letter 7
 
0.5%
Dash Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 85
 
13.1%
스 42
 
6.5%
하 36
 
5.5%
동 19
 
2.9%
트 17
 
2.6%
대 17
 
2.6%
리 16
 
2.5%
그 11
 
1.7%
이 11
 
1.7%
파 11
 
1.7%
Other values (149) 385
59.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
15.2%
L 3
9.1%
B 3
9.1%
S 3
9.1%
M 3
9.1%
T 3
9.1%
H 2
 
6.1%
O 2
 
6.1%
V 2
 
6.1%
C 2
 
6.1%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
2 3
18.8%
6 2
12.5%
4 2
12.5%
9 2
12.5%
0 2
12.5%
3 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
s 1
 
14.3%
a 1
 
14.3%
r 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 600
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
49.0%
Common 636
48.0%
Latin 40
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 85
 
13.1%
스 42
 
6.5%
하 36
 
5.5%
동 19
 
2.9%
트 17
 
2.6%
대 17
 
2.6%
리 16
 
2.5%
그 11
 
1.7%
이 11
 
1.7%
파 11
 
1.7%
Other values (149) 385
59.2%
Latin
ValueCountFrequency (%)
A 5
12.5%
e 4
 
10.0%
L 3
 
7.5%
B 3
 
7.5%
S 3
 
7.5%
M 3
 
7.5%
T 3
 
7.5%
H 2
 
5.0%
O 2
 
5.0%
V 2
 
5.0%
Other values (9) 10
25.0%
Common
ValueCountFrequency (%)
* 600
94.3%
16
 
2.5%
1 4
 
0.6%
2 3
 
0.5%
6 2
 
0.3%
4 2
 
0.3%
- 2
 
0.3%
) 2
 
0.3%
9 2
 
0.3%
0 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 676
51.0%
Hangul 650
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 600
88.8%
16
 
2.4%
A 5
 
0.7%
e 4
 
0.6%
1 4
 
0.6%
L 3
 
0.4%
B 3
 
0.4%
S 3
 
0.4%
M 3
 
0.4%
T 3
 
0.4%
Other values (20) 32
 
4.7%
Hangul
ValueCountFrequency (%)
빌 85
 
13.1%
스 42
 
6.5%
하 36
 
5.5%
동 19
 
2.9%
트 17
 
2.6%
대 17
 
2.6%
리 16
 
2.5%
그 11
 
1.7%
이 11
 
1.7%
파 11
 
1.7%
Other values (149) 385
59.2%

건물(동)이름(DONGNAME)
Text

MISSING 

Distinct55
Distinct (%)51.9%
Missing394
Missing (%)78.8%
Memory size4.0 KiB
2023-12-11T00:08:20.167199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.3301887
Min length1

Characters and Unicode

Total characters353
Distinct characters102
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)40.6%

Sample

1st row1동
2nd rowB동
3rd row나동
4th row102동
5th row네오빌
ValueCountFrequency (%)
a동 13
 
12.3%
101동 7
 
6.6%
102동 7
 
6.6%
b동 6
 
5.7%
나동 6
 
5.7%
1동 6
 
5.7%
2동 5
 
4.7%
가동 4
 
3.8%
103동 3
 
2.8%
다동 2
 
1.9%
Other values (45) 47
44.3%
2023-12-11T00:08:20.958182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 68
19.3%
1 31
 
8.8%
빌 22
 
6.2%
0 19
 
5.4%
A 15
 
4.2%
2 14
 
4.0%
스 7
 
2.0%
하 7
 
2.0%
B 7
 
2.0%
나 7
 
2.0%
Other values (92) 156
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
69.1%
Decimal Number 68
 
19.3%
Uppercase Letter 36
 
10.2%
Lowercase Letter 4
 
1.1%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 68
27.9%
빌 22
 
9.0%
스 7
 
2.9%
하 7
 
2.9%
나 7
 
2.9%
가 6
 
2.5%
성 6
 
2.5%
타 4
 
1.6%
그 4
 
1.6%
라 4
 
1.6%
Other values (68) 109
44.7%
Uppercase Letter
ValueCountFrequency (%)
A 15
41.7%
B 7
19.4%
M 2
 
5.6%
C 2
 
5.6%
N 1
 
2.8%
H 1
 
2.8%
T 1
 
2.8%
I 1
 
2.8%
O 1
 
2.8%
U 1
 
2.8%
Other values (4) 4
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 31
45.6%
0 19
27.9%
2 14
20.6%
3 3
 
4.4%
8 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
25.0%
o 1
25.0%
m 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
69.1%
Common 69
 
19.5%
Latin 40
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 68
27.9%
빌 22
 
9.0%
스 7
 
2.9%
하 7
 
2.9%
나 7
 
2.9%
가 6
 
2.5%
성 6
 
2.5%
타 4
 
1.6%
그 4
 
1.6%
라 4
 
1.6%
Other values (68) 109
44.7%
Latin
ValueCountFrequency (%)
A 15
37.5%
B 7
17.5%
M 2
 
5.0%
C 2
 
5.0%
N 1
 
2.5%
h 1
 
2.5%
o 1
 
2.5%
m 1
 
2.5%
e 1
 
2.5%
H 1
 
2.5%
Other values (8) 8
20.0%
Common
ValueCountFrequency (%)
1 31
44.9%
0 19
27.5%
2 14
20.3%
3 3
 
4.3%
. 1
 
1.4%
8 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
69.1%
ASCII 109
30.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 68
27.9%
빌 22
 
9.0%
스 7
 
2.9%
하 7
 
2.9%
나 7
 
2.9%
가 6
 
2.5%
성 6
 
2.5%
타 4
 
1.6%
그 4
 
1.6%
라 4
 
1.6%
Other values (68) 109
44.7%
ASCII
ValueCountFrequency (%)
1 31
28.4%
0 19
17.4%
A 15
13.8%
2 14
12.8%
B 7
 
6.4%
3 3
 
2.8%
M 2
 
1.8%
C 2
 
1.8%
N 1
 
0.9%
h 1
 
0.9%
Other values (14) 14
12.8%

지상지하구분(FLOORTYPE)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
20
468 
10
 
32

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
20 468
93.6%
10 32
 
6.4%

Length

2023-12-11T00:08:21.241363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:21.462677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 468
93.6%
10 32
 
6.4%

층_번호(FLOORNUMBER)
Real number (ℝ)

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.804
Minimum-1
Maximum11
Zeros0
Zeros (%)0.0%
Negative37
Negative (%)7.4%
Memory size4.5 KiB
2023-12-11T00:08:21.727468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q12
median3
Q34
95-th percentile5.05
Maximum11
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9300347
Coefficient of variation (CV)0.68831481
Kurtosis2.058442
Mean2.804
Median Absolute Deviation (MAD)1
Skewness0.57168482
Sum1402
Variance3.7250341
MonotonicityNot monotonic
2023-12-11T00:08:22.029657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 127
25.4%
3 113
22.6%
4 72
14.4%
1 65
13.0%
5 61
12.2%
-1 37
 
7.4%
6 10
 
2.0%
7 5
 
1.0%
8 4
 
0.8%
11 3
 
0.6%
Other values (2) 3
 
0.6%
ValueCountFrequency (%)
-1 37
 
7.4%
1 65
13.0%
2 127
25.4%
3 113
22.6%
4 72
14.4%
5 61
12.2%
6 10
 
2.0%
7 5
 
1.0%
8 4
 
0.8%
9 2
 
0.4%
ValueCountFrequency (%)
11 3
 
0.6%
10 1
 
0.2%
9 2
 
0.4%
8 4
 
0.8%
7 5
 
1.0%
6 10
 
2.0%
5 61
12.2%
4 72
14.4%
3 113
22.6%
2 127
25.4%

호_이름(HONAME)
Text

Distinct54
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-11T00:08:22.496793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.032
Min length2

Characters and Unicode

Total characters1516
Distinct characters17
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

Unique22 ?
Unique (%)4.4%

Sample

1st row301
2nd row501
3rd row203
4th row101
5th row401
ValueCountFrequency (%)
302 51
 
10.2%
201 46
 
9.2%
301 45
 
9.0%
202 43
 
8.6%
101 38
 
7.6%
401 37
 
7.4%
102 26
 
5.2%
203 25
 
5.0%
402 24
 
4.8%
501 22
 
4.4%
Other values (44) 143
28.6%
2023-12-11T00:08:23.538848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 488
32.2%
2 305
20.1%
1 296
19.5%
3 192
 
12.7%
4 108
 
7.1%
5 58
 
3.8%
B 17
 
1.1%
6 16
 
1.1%
층 7
 
0.5%
호 7
 
0.5%
Other values (7) 22
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1474
97.2%
Other Letter 23
 
1.5%
Uppercase Letter 18
 
1.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 488
33.1%
2 305
20.7%
1 296
20.1%
3 192
 
13.0%
4 108
 
7.3%
5 58
 
3.9%
6 16
 
1.1%
7 7
 
0.5%
8 4
 
0.3%
Other Letter
ValueCountFrequency (%)
층 7
30.4%
호 7
30.4%
지 6
26.1%
비 2
 
8.7%
동 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 17
94.4%
A 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1475
97.3%
Hangul 23
 
1.5%
Latin 18
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 488
33.1%
2 305
20.7%
1 296
20.1%
3 192
 
13.0%
4 108
 
7.3%
5 58
 
3.9%
6 16
 
1.1%
7 7
 
0.5%
8 4
 
0.3%
- 1
 
0.1%
Hangul
ValueCountFrequency (%)
층 7
30.4%
호 7
30.4%
지 6
26.1%
비 2
 
8.7%
동 1
 
4.3%
Latin
ValueCountFrequency (%)
B 17
94.4%
A 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1493
98.5%
Hangul 23
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 488
32.7%
2 305
20.4%
1 296
19.8%
3 192
 
12.9%
4 108
 
7.2%
5 58
 
3.9%
B 17
 
1.1%
6 16
 
1.1%
7 7
 
0.5%
8 4
 
0.3%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
층 7
30.4%
호 7
30.4%
지 6
26.1%
비 2
 
8.7%
동 1
 
4.3%

건물골조(GUJONAME)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
철근콘크리트구조
451 
벽돌구조
 
44
철골콘크리트구조
 
4
일반목구조
 
1

Length

Max length8
Median length8
Mean length7.642
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 451
90.2%
벽돌구조 44
 
8.8%
철골콘크리트구조 4
 
0.8%
일반목구조 1
 
0.2%

Length

2023-12-11T00:08:23.902117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:24.183804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 451
90.2%
벽돌구조 44
 
8.8%
철골콘크리트구조 4
 
0.8%
일반목구조 1
 
0.2%

지붕구조(ROOFNAME)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
(철근)콘크리트
487 
기타지붕
 
12
슬레이트
 
1

Length

Max length8
Median length8
Mean length7.896
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row(철근)콘크리트
2nd row(철근)콘크리트
3rd row(철근)콘크리트
4th row(철근)콘크리트
5th row(철근)콘크리트

Common Values

ValueCountFrequency (%)
(철근)콘크리트 487
97.4%
기타지붕 12
 
2.4%
슬레이트 1
 
0.2%

Length

2023-12-11T00:08:24.580586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:24.875306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근)콘크리트 487
97.4%
기타지붕 12
 
2.4%
슬레이트 1
 
0.2%

전용면적(JYAREA)
Real number (ℝ)

Distinct474
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.69562
Minimum6.75
Maximum238.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:25.155729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.75
5-th percentile17.922
Q130.5975
median45.93
Q359.8125
95-th percentile84.8815
Maximum238.86
Range232.11
Interquartile range (IQR)29.215

Descriptive statistics

Standard deviation25.679546
Coefficient of variation (CV)0.52734817
Kurtosis14.102639
Mean48.69562
Median Absolute Deviation (MAD)14.385
Skewness2.6356976
Sum24347.81
Variance659.43909
MonotonicityNot monotonic
2023-12-11T00:08:25.467775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.82 2
 
0.4%
29.97 2
 
0.4%
60.83 2
 
0.4%
59.97 2
 
0.4%
42.54 2
 
0.4%
59.88 2
 
0.4%
57.12 2
 
0.4%
29.94 2
 
0.4%
84.95 2
 
0.4%
29.47 2
 
0.4%
Other values (464) 480
96.0%
ValueCountFrequency (%)
6.75 1
0.2%
9.81 1
0.2%
12.16 1
0.2%
12.24 1
0.2%
13.12 1
0.2%
13.82 1
0.2%
14.01 1
0.2%
14.04 1
0.2%
14.46 1
0.2%
14.49 1
0.2%
ValueCountFrequency (%)
238.86 1
0.2%
222.84 1
0.2%
205.37 1
0.2%
178.51 1
0.2%
174.12 1
0.2%
137.86 1
0.2%
119.41 1
0.2%
116.98 1
0.2%
116.65 1
0.2%
109.92 1
0.2%

공용면적(GYAREA)
Real number (ℝ)

MISSING 

Distinct385
Distinct (%)81.6%
Missing28
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean11.033896
Minimum0.33
Maximum136.387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-11T00:08:25.750445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.44
Q15.64
median7.9
Q311.825
95-th percentile27.4285
Maximum136.387
Range136.057
Interquartile range (IQR)6.185

Descriptive statistics

Standard deviation11.100318
Coefficient of variation (CV)1.0060198
Kurtosis44.341985
Mean11.033896
Median Absolute Deviation (MAD)2.66
Skewness5.4142667
Sum5207.999
Variance123.21707
MonotonicityNot monotonic
2023-12-11T00:08:26.513120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.04 10
 
2.0%
4.68 9
 
1.8%
5.24 4
 
0.8%
6.42 4
 
0.8%
4.92 4
 
0.8%
5.64 3
 
0.6%
4.8 3
 
0.6%
7.11 3
 
0.6%
5.33 3
 
0.6%
5.94 3
 
0.6%
Other values (375) 426
85.2%
(Missing) 28
 
5.6%
ValueCountFrequency (%)
0.33 1
0.2%
2.16 1
0.2%
2.45 1
0.2%
2.55 1
0.2%
2.7 1
0.2%
2.89 1
0.2%
3.13 1
0.2%
3.25 1
0.2%
3.31 1
0.2%
3.35 1
0.2%
ValueCountFrequency (%)
136.387 1
0.2%
85.04 1
0.2%
81.77 1
0.2%
67.95 1
0.2%
63.76 1
0.2%
57.24 1
0.2%
50.76 1
0.2%
44.63 1
0.2%
43.73 1
0.2%
39.35 1
0.2%

전세시세유무(HAVE_SISE1)
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
440 
0
60 

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 (%)
1 440
88.0%
0 60
 
12.0%

Length

2023-12-11T00:08:26.818306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:27.078844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 440
88.0%
0 60
 
12.0%

월세시세유무(HAVE_SISE2)
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
1
404 
0
96 

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 (%)
1 404
80.8%
0 96
 
19.2%

Length

2023-12-11T00:08:27.285641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:08:27.511444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 404
80.8%
0 96
 
19.2%

Sample

PNU코드(PNU)기준년월(KEYMONTH)표제부_키코드(PKCODE1)전유부_키코드(PKCODE2)주소(ADDRESS)자치구코드(SREG)법정동코드(SEUB)대지구분(DAEJI)본번(BUNJI1)부번(BUNJI2)건물이름(BLDNAME)건물(동)이름(DONGNAME)지상지하구분(FLOORTYPE)층_번호(FLOORNUMBER)호_이름(HONAME)건물골조(GUJONAME)지붕구조(ROOFNAME)전용면적(JYAREA)공용면적(GYAREA)전세시세유무(HAVE_SISE1)월세시세유무(HAVE_SISE2)
0116501020010247000620210311740-307711500-79891서**별**서** **동**5**5**116201010011959이*주*<NA>201301철근콘크리트구조(철근)콘크리트60.6632.0911
1113801100010221000520200511500-2284111410-66206서**별**성** **동** **0**112601110014623<NA><NA>204501철근콘크리트구조(철근)콘크리트37.888.8411
2116201010010649005220200611380-10027109411740-100200857서**별**강** **동**7**8**1126011800146014<NA><NA>201203철근콘크리트구조(철근)콘크리트14.048.1411
3115451030010943002520210511560-10020301911440-100210680서**별**관** **동**3**2**1135010900141032<NA><NA>205101철근콘크리트구조(철근)콘크리트17.07<NA>11
4112151010010242001620200311380-10025389911290-100235343서**별**노** **동**3**1**1162010500146065미*벨<NA>201401철근콘크리트구조(철근)콘크리트27.988.1311
5114701020010131000720200911305-1379411500-100216675서**별**은** **동**7**115451120013815일*연*주*<NA>203402철근콘크리트구조(철근)콘크리트24.825.2411
6111101860010235001420200611440-2693311710-113617서**별**강** **동**1**115901050014109<NA><NA>20-1104철근콘크리트구조(철근)콘크리트19.095.1611
7116201020010629003720200211500-681811260-33905서**별**은** **동**9**6**11320108001117720베*트*<NA>205501철근콘크리트구조(철근)콘크리트61.266.6611
8112151010010124001320201211380-3669411440-79016서**별**서**구**가** **5**4**1154510100142152유*3*<NA>102304철근콘크리트구조(철근)콘크리트54.164.4410
9114701020010315003520210411440-10027488311680-109559서**별**금** **동**0**11500102001171035<NA><NA>205501철근콘크리트구조(철근)콘크리트87.364.6811
PNU코드(PNU)기준년월(KEYMONTH)표제부_키코드(PKCODE1)전유부_키코드(PKCODE2)주소(ADDRESS)자치구코드(SREG)법정동코드(SEUB)대지구분(DAEJI)본번(BUNJI1)부번(BUNJI2)건물이름(BLDNAME)건물(동)이름(DONGNAME)지상지하구분(FLOORTYPE)층_번호(FLOORNUMBER)호_이름(HONAME)건물골조(GUJONAME)지붕구조(ROOFNAME)전용면적(JYAREA)공용면적(GYAREA)전세시세유무(HAVE_SISE1)월세시세유무(HAVE_SISE2)
490117101080010128000420200211320-10019596311500-100225154서**별**강** **동**7**1130510300131343<NA><NA>20-1301철근콘크리트구조(철근)콘크리트59.829.8211
491112901350010003095220200611440-3233411230-92200서**별**강** **동**0**-**113801020013760<NA><NA>202702철근콘크리트구조(철근)콘크리트19.715.6411
492117101040010043001120210311260-10019413011440-47500서**별**금** **동**0**2**1150010300153750V*L*A* *E*D*A동204501철근콘크리트구조(철근)콘크리트61.3811.36411
493117401080010421002420210311710-569211740-100188564서**별**은** **동**1**3**117101030014565<NA><NA>205지층B01호벽돌구조(철근)콘크리트35.2811.411
494116201020011652003020200911650-1367111620-111213서**별**중**신** **0**4**1141010800159864다*대*택*4*대*<NA>205502벽돌구조(철근)콘크리트45.86.1411
495115601300010088000220210311215-10021819711680-169480서**별**강** **동**1**7**117101070016138한*팰*스1동205404철근콘크리트구조(철근)콘크리트137.865.1710
496115301070010333000720210211710-833911650-100248277서**별**관** **동**2**3**1138010900125011<NA><NA>206301철근콘크리트구조(철근)콘크리트78.326.94211
497114701030011066000020200811230-651711710-80568서**별**중** ** **6**1114010600147033나*<NA>201102철근콘크리트구조(철근)콘크리트56.985.3311
498117101010010237001420210511680-1316811215-36308서**별**송** **동**5**3**1162010500177414에*엠*버*<NA>202B1철근콘크리트구조(철근)콘크리트50.825.1410
499116501010010528007420200311500-2708811500-93151서**별**양** ** **8**6**1168010200136013동*그*A102동201201철근콘크리트구조(철근)콘크리트57.547.8911