Overview

Dataset statistics

Number of variables15
Number of observations835
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.2 KiB
Average record size in memory124.2 B

Variable types

Numeric4
Text4
Categorical6
DateTime1

Dataset

Description객체id,현황도형 관리번호,도형 대분류코드,도형 중분류코드,도형 소분류코드,도형 속성코드,도형 조서관리 코드,결정고시관리코드,라벨명,면적(도형),길이(도형),시군구코드,도면번호,현황도형 생성일시,유형구분
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21161/S/1/datasetView.do

Alerts

도형 대분류코드 has constant value ""Constant
도형 중분류코드 has constant value ""Constant
도형 소분류코드 has constant value ""Constant
도형 속성코드 has constant value ""Constant
면적(도형) is highly overall correlated with 길이(도형)High correlation
길이(도형) is highly overall correlated with 면적(도형)High correlation
도면번호 is highly imbalanced (82.1%)Imbalance
시군구코드 is highly skewed (γ1 = 20.30609399)Skewed
객체id has unique valuesUnique
현황도형 관리번호 has unique valuesUnique
면적(도형) has unique valuesUnique
길이(도형) has unique valuesUnique

Reproduction

Analysis started2024-05-10 23:02:32.749506
Analysis finished2024-05-10 23:02:38.180985
Duration5.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

객체id
Real number (ℝ)

UNIQUE 

Distinct835
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29853.31
Minimum29293
Maximum30271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-10T23:02:38.329720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29293
5-th percentile29478.7
Q129645.5
median29854
Q330062.5
95-th percentile30229.3
Maximum30271
Range978
Interquartile range (IQR)417

Descriptive statistics

Standard deviation242.579
Coefficient of variation (CV)0.0081256986
Kurtosis-1.1463942
Mean29853.31
Median Absolute Deviation (MAD)209
Skewness-0.026278728
Sum24927514
Variance58844.572
MonotonicityStrictly increasing
2024-05-10T23:02:38.661021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29293 1
 
0.1%
29960 1
 
0.1%
29988 1
 
0.1%
29989 1
 
0.1%
29990 1
 
0.1%
29991 1
 
0.1%
29992 1
 
0.1%
29993 1
 
0.1%
29994 1
 
0.1%
29995 1
 
0.1%
Other values (825) 825
98.8%
ValueCountFrequency (%)
29293 1
0.1%
29294 1
0.1%
29295 1
0.1%
29296 1
0.1%
29441 1
0.1%
29442 1
0.1%
29443 1
0.1%
29444 1
0.1%
29445 1
0.1%
29446 1
0.1%
ValueCountFrequency (%)
30271 1
0.1%
30270 1
0.1%
30269 1
0.1%
30268 1
0.1%
30267 1
0.1%
30266 1
0.1%
30265 1
0.1%
30264 1
0.1%
30263 1
0.1%
30262 1
0.1%

현황도형 관리번호
Text

UNIQUE 

Distinct835
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-10T23:02:39.225383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters20040
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique835 ?
Unique (%)100.0%

Sample

1st row11560UQ161PS202209150001
2nd row11350UQ161PS202209280001
3rd row11000UQ161PS201912150126
4th row11000UQ161PS202012175015
5th row11000UQ161PS201912150495
ValueCountFrequency (%)
11560uq161ps202209150001 1
 
0.1%
11680uq161ps202311300001 1
 
0.1%
11350uq161ps202312120001 1
 
0.1%
11000uq161ps202106180001 1
 
0.1%
11000uq161ps201912150052 1
 
0.1%
11000uq161ps201912150043 1
 
0.1%
11000uq161ps201912150139 1
 
0.1%
11380uq161ps202311240002 1
 
0.1%
11350uq161ps202210190001 1
 
0.1%
11000uq161ps202399990020 1
 
0.1%
Other values (825) 825
98.8%
2024-05-10T23:02:40.083106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5379
26.8%
0 5362
26.8%
2 2381
11.9%
6 1078
 
5.4%
U 835
 
4.2%
Q 835
 
4.2%
P 835
 
4.2%
S 835
 
4.2%
5 622
 
3.1%
9 591
 
2.9%
Other values (4) 1287
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16700
83.3%
Uppercase Letter 3340
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5379
32.2%
0 5362
32.1%
2 2381
14.3%
6 1078
 
6.5%
5 622
 
3.7%
9 591
 
3.5%
3 503
 
3.0%
4 380
 
2.3%
7 213
 
1.3%
8 191
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
U 835
25.0%
Q 835
25.0%
P 835
25.0%
S 835
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16700
83.3%
Latin 3340
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5379
32.2%
0 5362
32.1%
2 2381
14.3%
6 1078
 
6.5%
5 622
 
3.7%
9 591
 
3.5%
3 503
 
3.0%
4 380
 
2.3%
7 213
 
1.3%
8 191
 
1.1%
Latin
ValueCountFrequency (%)
U 835
25.0%
Q 835
25.0%
P 835
25.0%
S 835
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5379
26.8%
0 5362
26.8%
2 2381
11.9%
6 1078
 
5.4%
U 835
 
4.2%
Q 835
 
4.2%
P 835
 
4.2%
S 835
 
4.2%
5 622
 
3.1%
9 591
 
2.9%
Other values (4) 1287
 
6.4%

도형 대분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
UQQ301
835 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQQ301
2nd rowUQQ301
3rd rowUQQ301
4th rowUQQ301
5th rowUQQ301

Common Values

ValueCountFrequency (%)
UQQ301 835
100.0%

Length

2024-05-10T23:02:40.488982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:40.794725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqq301 835
100.0%

도형 중분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
835 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
835
100.0%

Length

2024-05-10T23:02:41.122457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:41.461281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

도형 소분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
835 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
835
100.0%

Length

2024-05-10T23:02:41.774862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:42.089354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

도형 속성코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
UQQ301
835 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQQ301
2nd rowUQQ301
3rd rowUQQ301
4th rowUQQ301
5th rowUQQ301

Common Values

ValueCountFrequency (%)
UQQ301 835
100.0%

Length

2024-05-10T23:02:42.409935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:42.713938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqq301 835
100.0%

도형 조서관리 코드
Text

Distinct808
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-10T23:02:43.307602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters16700
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique806 ?
Unique (%)96.5%

Sample

1st row11560UTZ202207150001
2nd row11350UTZ202207050001
3rd row11000UTZ201109142867
4th row11000UTZ201206152986
5th row11000UTZ201203142963
ValueCountFrequency (%)
11000utz202399999999 25
 
3.0%
11000utz000000001611 4
 
0.5%
11000utz201005192690 1
 
0.1%
11000utz200807162436 1
 
0.1%
11560utz202207150001 1
 
0.1%
11710utz202212150001 1
 
0.1%
11590utz202303210001 1
 
0.1%
11000utz201711014439 1
 
0.1%
11000utz202307070001 1
 
0.1%
11000utz202106150001 1
 
0.1%
Other values (798) 798
95.6%
2024-05-10T23:02:44.335393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5550
33.2%
1 3370
20.2%
2 2304
13.8%
U 835
 
5.0%
T 835
 
5.0%
Z 835
 
5.0%
3 633
 
3.8%
9 561
 
3.4%
5 407
 
2.4%
4 380
 
2.3%
Other values (3) 990
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14195
85.0%
Uppercase Letter 2505
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5550
39.1%
1 3370
23.7%
2 2304
16.2%
3 633
 
4.5%
9 561
 
4.0%
5 407
 
2.9%
4 380
 
2.7%
6 369
 
2.6%
8 313
 
2.2%
7 308
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
U 835
33.3%
T 835
33.3%
Z 835
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 14195
85.0%
Latin 2505
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5550
39.1%
1 3370
23.7%
2 2304
16.2%
3 633
 
4.5%
9 561
 
4.0%
5 407
 
2.9%
4 380
 
2.7%
6 369
 
2.6%
8 313
 
2.2%
7 308
 
2.2%
Latin
ValueCountFrequency (%)
U 835
33.3%
T 835
33.3%
Z 835
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5550
33.2%
1 3370
20.2%
2 2304
13.8%
U 835
 
5.0%
T 835
 
5.0%
Z 835
 
5.0%
3 633
 
3.8%
9 561
 
3.4%
5 407
 
2.4%
4 380
 
2.3%
Other values (3) 990
 
5.9%

결정고시관리코드
Text

Distinct772
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-10T23:02:44.789416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.34012
Min length1

Characters and Unicode

Total characters16149
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique749 ?
Unique (%)89.7%

Sample

1st row11000NTC202208290002
2nd row11000NTC202209280001
3rd row11000NTC201104076044
4th row11000NTC201202026401
5th row11000NTC201203086434
ValueCountFrequency (%)
11000ntc202308030001 8
 
1.0%
11000ntc201305166831 4
 
0.5%
11140ntc202312220001 3
 
0.4%
11530ntc202010160002 3
 
0.4%
11000ntc201512317690 3
 
0.4%
11000ntc202111110001 3
 
0.4%
11560ntc201908050001 3
 
0.4%
11000ntc202310170003 2
 
0.2%
11000ntc201509247597 2
 
0.2%
11590ntc202305240002 2
 
0.2%
Other values (761) 773
95.9%
2024-05-10T23:02:45.938487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5500
34.1%
1 3004
18.6%
2 2177
 
13.5%
N 806
 
5.0%
T 806
 
5.0%
C 806
 
5.0%
3 656
 
4.1%
5 452
 
2.8%
6 411
 
2.5%
4 405
 
2.5%
Other values (4) 1126
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13702
84.8%
Uppercase Letter 2418
 
15.0%
Space Separator 29
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5500
40.1%
1 3004
21.9%
2 2177
 
15.9%
3 656
 
4.8%
5 452
 
3.3%
6 411
 
3.0%
4 405
 
3.0%
7 385
 
2.8%
9 374
 
2.7%
8 338
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
N 806
33.3%
T 806
33.3%
C 806
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13731
85.0%
Latin 2418
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5500
40.1%
1 3004
21.9%
2 2177
 
15.9%
3 656
 
4.8%
5 452
 
3.3%
6 411
 
3.0%
4 405
 
2.9%
7 385
 
2.8%
9 374
 
2.7%
8 338
 
2.5%
Latin
ValueCountFrequency (%)
N 806
33.3%
T 806
33.3%
C 806
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5500
34.1%
1 3004
18.6%
2 2177
 
13.5%
N 806
 
5.0%
T 806
 
5.0%
C 806
 
5.0%
3 656
 
4.1%
5 452
 
2.8%
6 411
 
2.5%
4 405
 
2.5%
Other values (4) 1126
 
7.0%

라벨명
Text

Distinct753
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2024-05-10T23:02:46.717043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length15.419162
Min length2

Characters and Unicode

Total characters12875
Distinct characters328
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique751 ?
Unique (%)89.9%

Sample

1st row신길 제2구역 주택재개발 지구단위계
2nd row공릉1택지 지구단위계획구역
3rd row공릉지구단위계획구역
4th row광진구 광장동 427번지 일원 지구단위
5th row면목지구중심 지구단위계획구역
ValueCountFrequency (%)
지구단위계획구역 391
 
20.4%
지구단위계획 54
 
2.8%
지구단위계획구 47
 
2.5%
일대 37
 
1.9%
역세권 30
 
1.6%
일원 25
 
1.3%
지구단위계 22
 
1.1%
지 16
 
0.8%
주택재건축 14
 
0.7%
지구단위 14
 
0.7%
Other values (991) 1266
66.1%
2024-05-10T23:02:48.348518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1443
 
11.2%
1096
 
8.5%
지 1002
 
7.8%
역 684
 
5.3%
단 634
 
4.9%
위 618
 
4.8%
계 612
 
4.8%
획 561
 
4.4%
동 253
 
2.0%
1 217
 
1.7%
Other values (318) 5755
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10769
83.6%
Space Separator 1096
 
8.5%
Decimal Number 804
 
6.2%
Dash Punctuation 110
 
0.9%
Open Punctuation 33
 
0.3%
Close Punctuation 26
 
0.2%
Other Punctuation 20
 
0.2%
Uppercase Letter 16
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1443
 
13.4%
지 1002
 
9.3%
역 684
 
6.4%
단 634
 
5.9%
위 618
 
5.7%
계 612
 
5.7%
획 561
 
5.2%
동 253
 
2.3%
주 208
 
1.9%
택 203
 
1.9%
Other values (293) 4551
42.3%
Decimal Number
ValueCountFrequency (%)
1 217
27.0%
3 100
12.4%
2 98
12.2%
4 76
 
9.5%
5 74
 
9.2%
8 54
 
6.7%
6 53
 
6.6%
7 46
 
5.7%
9 45
 
5.6%
0 41
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
37.5%
K 2
 
12.5%
T 2
 
12.5%
J 2
 
12.5%
I 2
 
12.5%
M 1
 
6.2%
D 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
? 14
70.0%
. 4
 
20.0%
, 2
 
10.0%
Space Separator
ValueCountFrequency (%)
1096
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10769
83.6%
Common 2090
 
16.2%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1443
 
13.4%
지 1002
 
9.3%
역 684
 
6.4%
단 634
 
5.9%
위 618
 
5.7%
계 612
 
5.7%
획 561
 
5.2%
동 253
 
2.3%
주 208
 
1.9%
택 203
 
1.9%
Other values (293) 4551
42.3%
Common
ValueCountFrequency (%)
1096
52.4%
1 217
 
10.4%
- 110
 
5.3%
3 100
 
4.8%
2 98
 
4.7%
4 76
 
3.6%
5 74
 
3.5%
8 54
 
2.6%
6 53
 
2.5%
7 46
 
2.2%
Other values (8) 166
 
7.9%
Latin
ValueCountFrequency (%)
C 6
37.5%
K 2
 
12.5%
T 2
 
12.5%
J 2
 
12.5%
I 2
 
12.5%
M 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10767
83.6%
ASCII 2106
 
16.4%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1443
 
13.4%
지 1002
 
9.3%
역 684
 
6.4%
단 634
 
5.9%
위 618
 
5.7%
계 612
 
5.7%
획 561
 
5.2%
동 253
 
2.3%
주 208
 
1.9%
택 203
 
1.9%
Other values (292) 4549
42.2%
ASCII
ValueCountFrequency (%)
1096
52.0%
1 217
 
10.3%
- 110
 
5.2%
3 100
 
4.7%
2 98
 
4.7%
4 76
 
3.6%
5 74
 
3.5%
8 54
 
2.6%
6 53
 
2.5%
7 46
 
2.2%
Other values (15) 182
 
8.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

면적(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct835
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158591.75
Minimum576.85596
Maximum5257920.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-10T23:02:48.862360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum576.85596
5-th percentile2090.6369
Q110855.365
median38025.869
Q3118442.86
95-th percentile643891.25
Maximum5257920.2
Range5257343.3
Interquartile range (IQR)107587.49

Descriptive statistics

Standard deviation443730.78
Coefficient of variation (CV)2.7979436
Kurtosis53.955563
Mean158591.75
Median Absolute Deviation (MAD)32512.679
Skewness6.6629277
Sum1.3242411 × 108
Variance1.96897 × 1011
MonotonicityNot monotonic
2024-05-10T23:02:49.348639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116914.07259001 1
 
0.1%
20834.8497339 1
 
0.1%
149381.88169542 1
 
0.1%
148188.29514155 1
 
0.1%
9608.72414144 1
 
0.1%
17094.83637135 1
 
0.1%
69219.78649501 1
 
0.1%
53326.12917698 1
 
0.1%
61518.86612755 1
 
0.1%
74013.42490628 1
 
0.1%
Other values (825) 825
98.8%
ValueCountFrequency (%)
576.85596378 1
0.1%
610.82216398 1
0.1%
640.4284 1
0.1%
648.07043864 1
0.1%
655.69462151 1
0.1%
659.12088002 1
0.1%
680.89227 1
0.1%
708.03619499 1
0.1%
816.58619349 1
0.1%
823.40905001 1
0.1%
ValueCountFrequency (%)
5257920.16360566 1
0.1%
4395769.02301059 1
0.1%
3883390.59233767 1
0.1%
3667993.24988969 1
0.1%
3503629.80830002 1
0.1%
3499862.92576318 1
0.1%
3033364.65156019 1
0.1%
2821098.76367987 1
0.1%
2659381.15836551 1
0.1%
2585039.4526472 1
0.1%

길이(도형)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct835
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1709.1477
Minimum98.268883
Maximum21689.389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-10T23:02:49.771697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.268883
5-th percentile199.03267
Q1519.74216
median1010.2246
Q31932.4574
95-th percentile5485.7222
Maximum21689.389
Range21591.121
Interquartile range (IQR)1412.7152

Descriptive statistics

Standard deviation2233.0406
Coefficient of variation (CV)1.3065229
Kurtosis19.657846
Mean1709.1477
Median Absolute Deviation (MAD)601.54598
Skewness3.7939488
Sum1427138.3
Variance4986470.3
MonotonicityNot monotonic
2024-05-10T23:02:50.188852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1848.22120386 1
 
0.1%
1114.51192203 1
 
0.1%
1714.95517062 1
 
0.1%
1848.48949371 1
 
0.1%
656.0609009 1
 
0.1%
1070.43441969 1
 
0.1%
1560.21494042 1
 
0.1%
1315.63397485 1
 
0.1%
1257.56199521 1
 
0.1%
1687.09029686 1
 
0.1%
Other values (825) 825
98.8%
ValueCountFrequency (%)
98.26888272 1
0.1%
100.75408928 1
0.1%
102.68804789 1
0.1%
105.38240343 1
0.1%
106.32486854 1
0.1%
107.31346025 1
0.1%
113.14476715 1
0.1%
118.03116144 1
0.1%
118.43431963 1
0.1%
119.2619223 1
0.1%
ValueCountFrequency (%)
21689.38944092 1
0.1%
17844.49892064 1
0.1%
15874.38162405 1
0.1%
15596.78430739 1
0.1%
14683.8371212 1
0.1%
12477.68878016 1
0.1%
12410.71452095 1
0.1%
11968.26291625 1
0.1%
11936.47852604 1
0.1%
11776.2598831 1
0.1%

시군구코드
Real number (ℝ)

SKEWED 

Distinct27
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11598.016
Minimum11000
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2024-05-10T23:02:50.564394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11000
5-th percentile11000
Q111207.5
median11410
Q311590
95-th percentile11740
Maximum99999
Range88999
Interquartile range (IQR)382.5

Descriptive statistics

Standard deviation4340.5624
Coefficient of variation (CV)0.37425044
Kurtosis412.5483
Mean11598.016
Median Absolute Deviation (MAD)180
Skewness20.306094
Sum9684343
Variance18840482
MonotonicityNot monotonic
2024-05-10T23:02:50.935812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
11000 110
 
13.2%
11710 48
 
5.7%
11590 48
 
5.7%
11560 43
 
5.1%
11740 43
 
5.1%
11440 37
 
4.4%
11230 36
 
4.3%
11680 35
 
4.2%
11350 33
 
4.0%
11290 32
 
3.8%
Other values (17) 370
44.3%
ValueCountFrequency (%)
11000 110
13.2%
11110 31
 
3.7%
11140 28
 
3.4%
11170 13
 
1.6%
11200 27
 
3.2%
11215 26
 
3.1%
11230 36
 
4.3%
11260 21
 
2.5%
11290 32
 
3.8%
11305 12
 
1.4%
ValueCountFrequency (%)
99999 2
 
0.2%
11740 43
5.1%
11710 48
5.7%
11680 35
4.2%
11650 30
3.6%
11620 21
2.5%
11590 48
5.7%
11560 43
5.1%
11545 13
 
1.6%
11530 29
3.5%

도면번호
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
760 
①
 
36
1
 
29
A
 
4
①-2
 
1
Other values (5)
 
5

Length

Max length20
Median length1
Mean length1.0275449
Min length1

Unique

Unique6 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
760
91.0%
① 36
 
4.3%
1 29
 
3.5%
A 4
 
0.5%
①-2 1
 
0.1%
성동구마장동339-2일원역세권청년주택 1
 
0.1%
ⓐ 1
 
0.1%
2 1
 
0.1%
A-1 1
 
0.1%
② 1
 
0.1%

Length

2024-05-10T23:02:51.193014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:51.548110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
① 36
48.0%
1 29
38.7%
a 4
 
5.3%
①-2 1
 
1.3%
성동구마장동339-2일원역세권청년주택 1
 
1.3%
ⓐ 1
 
1.3%
2 1
 
1.3%
a-1 1
 
1.3%
② 1
 
1.3%

현황도형 생성일시
Date

Distinct309
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2019-08-22 00:00:00
Maximum2024-04-24 00:00:00
2024-05-10T23:02:51.942121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:52.385893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유형구분
Categorical

Distinct17
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
324 
DV001
170 
DV010
58 
DV009
55 
DV012
55 
Other values (12)
173 

Length

Max length5
Median length5
Mean length3.4479042
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd rowDV011
3rd rowDV001
4th row
5th rowDV001

Common Values

ValueCountFrequency (%)
324
38.8%
DV001 170
20.4%
DV010 58
 
6.9%
DV009 55
 
6.6%
DV012 55
 
6.6%
DV004 33
 
4.0%
DV099 32
 
3.8%
DV011 24
 
2.9%
DV014 21
 
2.5%
DV005 15
 
1.8%
Other values (7) 48
 
5.7%

Length

2024-05-10T23:02:52.845927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
dv001 170
33.3%
dv010 58
 
11.4%
dv009 55
 
10.8%
dv012 55
 
10.8%
dv004 33
 
6.5%
dv099 32
 
6.3%
dv011 24
 
4.7%
dv014 21
 
4.1%
dv005 15
 
2.9%
dv003 14
 
2.7%
Other values (6) 34
 
6.7%

Interactions

2024-05-10T23:02:36.651269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:33.704375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:34.732466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:35.754133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:36.873024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:33.960097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:34.991248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:36.100549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:37.048788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:34.223580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:35.231926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:36.320519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:37.222312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:34.475113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:35.488657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:36.480271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:02:53.077304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id면적(도형)길이(도형)시군구코드도면번호유형구분
객체id1.0000.0000.0000.0000.0000.137
면적(도형)0.0001.0000.9370.0000.0000.406
길이(도형)0.0000.9371.0000.0000.0000.449
시군구코드0.0000.0000.0001.0000.1350.000
도면번호0.0000.0000.0000.1351.0000.000
유형구분0.1370.4060.4490.0000.0001.000
2024-05-10T23:02:53.262488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도면번호유형구분
도면번호1.0000.000
유형구분0.0001.000
2024-05-10T23:02:53.472460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객체id면적(도형)길이(도형)시군구코드도면번호유형구분
객체id1.0000.0150.0220.0420.0000.050
면적(도형)0.0151.0000.974-0.0990.0000.170
길이(도형)0.0220.9741.000-0.1020.0000.192
시군구코드0.042-0.099-0.1021.0000.0690.000
도면번호0.0000.0000.0000.0691.0000.000
유형구분0.0500.1700.1920.0000.0001.000

Missing values

2024-05-10T23:02:37.467364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:02:37.918380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

객체id현황도형 관리번호도형 대분류코드도형 중분류코드도형 소분류코드도형 속성코드도형 조서관리 코드결정고시관리코드라벨명면적(도형)길이(도형)시군구코드도면번호현황도형 생성일시유형구분
02929311560UQ161PS202209150001UQQ301UQQ30111560UTZ20220715000111000NTC202208290002신길 제2구역 주택재개발 지구단위계116914.072591848.221204115602022-09-15 00:00:00.0
12929411350UQ161PS202209280001UQQ301UQQ30111350UTZ20220705000111000NTC202209280001공릉1택지 지구단위계획구역172013.2435092987.498285113502022-09-28 00:00:00.0DV011
22929511000UQ161PS201912150126UQQ301UQQ30111000UTZ20110914286711000NTC201104076044공릉지구단위계획구역35566.969211170.153351113502019-12-15 00:00:00.0DV001
32929611000UQ161PS202012175015UQQ301UQQ30111000UTZ20120615298611000NTC201202026401광진구 광장동 427번지 일원 지구단위34200.689112929.338105112152020-12-17 00:00:00.0
42944111000UQ161PS201912150495UQQ301UQQ30111000UTZ20120314296311000NTC201203086434면목지구중심 지구단위계획구역124753.9632711833.071783112602019-12-15 00:00:00.0DV001
52944211000UQ161PS201912150183UQQ301UQQ30111000UTZ20010420376411000NTC200104200536한일약품부지 지구단위계획구역14855.417802573.005644112002019-12-15 00:00:00.0DV009
62944311530UQ161PS202311280100UQQ301UQQ30111530UTZ20230622000111530NTC202309130001구로구오류동135-33번지일원 역세권주택및공공임대주?10352.949134446.41639211530①2023-11-28 00:00:00.0DV006
72944411410UQ161PS202311280001UQQ301UQQ30111410UTZ20230821000111410NTC202308210001마포로5 도시정비형 재개발구역 2지구5612.698141380.163873114102023-11-28 00:00:00.0
82944511710UQ161PS202402280001UQQ301UQQ30111000UTZ20230712000511710NTC202310100001한양3차아파트 재건축 정비사업20080.67775627.080686117102024-02-28 00:00:00.0
92944611000UQ161PS202308030009UQQ301UQQ30111000UTZ20180509353511000NTC202308030001시흥 박미사랑마을지구단위계획구역49282.379957999.1743115452023-10-11 00:00:00.0DV004
객체id현황도형 관리번호도형 대분류코드도형 중분류코드도형 소분류코드도형 속성코드도형 조서관리 코드결정고시관리코드라벨명면적(도형)길이(도형)시군구코드도면번호현황도형 생성일시유형구분
8253026211000UQ161PS201912150328UQQ301UQQ30111000UTZ20110928289611000NTC201109156233이문동 46-1번지 지구단위계획구역6429.540185374.0215112302019-12-15 00:00:00.0DV010
8263026311440UQ161PS202108120001UQQ301UQQ30111440UTZ20210804000111440NTC202108040005지구단위계획구역61292.2432091395.323339114402021-08-12 00:00:00.0
8273026411000UQ161PS201912150118UQQ301UQQ30111000UTZ20040406501111000NTC200404066023상신아파트 재건축 정비구역(휴먼시20869.393887709.081814115902019-12-15 00:00:00.0DV009
8283026511000UQ161PS201912150406UQQ301UQQ30111000UTZ20170724342611000NTC201706158163서초구역(꽃마을지역)지구단위계획구42756.379978865.41227116502019-12-15 00:00:00.0DV001
8293026611000UQ161PS201912150407UQQ301UQQ30111000UTZ20180612355111000NTC201712210074공덕동(460호일대 공동주택) 지구단위10633.047508429.236047114402019-12-15 00:00:00.0
8303026711000UQ161PS201912150484UQQ301UQQ30111000UTZ20190826002911000NTC201907041037광진구 구의동 587-62 일원 역세권 청년648.070439100.754089112152019-12-15 00:00:00.0DV012
8313026811000UQ161PS202005260027UQQ301UQQ30111650UTZ20200525000111000NTC202005250006서초구 서초동 1582-3일대9241.40445416.817439116502020-02-24 00:00:00.0DV010
8323026911000UQ161PS202109270001UQQ301UQQ30111000UTZ20210924000111000NTC202109240008강남원 효성빌라 재건축 지구단위계24685.313284690.676649116502021-09-27 00:00:00.0DV009
8333027011000UQ161PS202107160001UQQ301UQQ30111000UTZ20210708000111000NTC202107080001지구단위계획구역1846.792764236.882311112152021-07-16 00:00:00.0DV012
8343027111410UQ161PS202010230004UQQ301UQQ30111410UTZ20200909000111410NTC202009090006홍은8지구단위계획구역9632.477889497.6853281141012020-10-23 00:00:00.0