Overview

Dataset statistics

Number of variables54
Number of observations319
Missing cells5901
Missing cells (%)34.3%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory145.0 KiB
Average record size in memory465.4 B

Variable types

Categorical14
Text3
Numeric20
Unsupported8
DateTime9

Dataset

Description대전광역시 서구 건축허가 현황(건축구분명, 지번주소, 도로명주소, 대지면적, 건축면적, 연면적, 건폐율, 용적률, 구조, 허가일자 등) 데이터입니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15108204/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
설계변경 차수 is highly imbalanced (67.3%)Imbalance
지목 is highly imbalanced (77.7%)Imbalance
취소구분 is highly imbalanced (76.9%)Imbalance
비상승강기합 is highly imbalanced (71.1%)Imbalance
하수처리시설명 is highly imbalanced (53.1%)Imbalance
용도지구 is highly imbalanced (74.0%)Imbalance
인근자주식주차장(대) is highly imbalanced (94.7%)Imbalance
세대수 is highly imbalanced (88.8%)Imbalance
부속건축물수 is highly imbalanced (74.7%)Imbalance
허가번호 has 12 (3.8%) missing valuesMissing
대지위치 has 12 (3.8%) missing valuesMissing
대지면적(제곱미터) has 12 (3.8%) missing valuesMissing
건축면적(제곱미터) has 12 (3.8%) missing valuesMissing
연면적(제곱미터) has 12 (3.8%) missing valuesMissing
증축연면적(제곱미터) has 293 (91.8%) missing valuesMissing
건폐율(퍼센트) has 12 (3.8%) missing valuesMissing
용적률(퍼센트) has 12 (3.8%) missing valuesMissing
철거멸실구분 has 319 (100.0%) missing valuesMissing
허가취소일 has 319 (100.0%) missing valuesMissing
허가일 has 12 (3.8%) missing valuesMissing
효력상실일 has 319 (100.0%) missing valuesMissing
최종설계변경일 has 294 (92.2%) missing valuesMissing
착공처리일 has 155 (48.6%) missing valuesMissing
착공예정일 has 155 (48.6%) missing valuesMissing
실제착공일 has 221 (69.3%) missing valuesMissing
착공연기일 has 319 (100.0%) missing valuesMissing
착공연기사유 has 319 (100.0%) missing valuesMissing
임시사용승인기간 has 319 (100.0%) missing valuesMissing
사용승인일 has 209 (65.5%) missing valuesMissing
준공예정일(사용승인예정일) has 155 (48.6%) missing valuesMissing
건축허가최초접수일 has 12 (3.8%) missing valuesMissing
(임시)사용승인최초접수일 has 209 (65.5%) missing valuesMissing
최대지상층수 has 12 (3.8%) missing valuesMissing
최대지하층수 has 51 (16.0%) missing valuesMissing
최고높이(미터) has 12 (3.8%) missing valuesMissing
동수 has 12 (3.8%) missing valuesMissing
승강기합 has 83 (26.0%) missing valuesMissing
하수처리시설용량(세제곱미터) has 269 (84.3%) missing valuesMissing
부속용도 has 56 (17.6%) missing valuesMissing
자주식옥내주차장(대) has 168 (52.7%) missing valuesMissing
자주식옥외주차장(대) has 116 (36.4%) missing valuesMissing
기계식옥내주차장(대) has 294 (92.2%) missing valuesMissing
기계식옥외주차장(대) has 319 (100.0%) missing valuesMissing
인근기계식주차장(대) has 319 (100.0%) missing valuesMissing
총주차대수 has 16 (5.0%) missing valuesMissing
총주차장면적(제곱미터) has 16 (5.0%) missing valuesMissing
호수 has 264 (82.8%) missing valuesMissing
가구수 has 160 (50.2%) missing valuesMissing
주건축물수 has 21 (6.6%) missing valuesMissing
철거멸실구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허가취소일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
효력상실일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착공연기일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
착공연기사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임시사용승인기간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기계식옥외주차장(대) is an unsupported type, check if it needs cleaning or further analysisUnsupported
인근기계식주차장(대) is an unsupported type, check if it needs cleaning or further analysisUnsupported
최대지하층수 has 161 (50.5%) zerosZeros
최고높이(미터) has 4 (1.3%) zerosZeros
동수 has 8 (2.5%) zerosZeros
승강기합 has 41 (12.9%) zerosZeros
총주차대수 has 37 (11.6%) zerosZeros
총주차장면적(제곱미터) has 68 (21.3%) zerosZeros
가구수 has 4 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 10:55:39.903726
Analysis finished2023-12-12 10:55:41.127044
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
신축
175 
용도변경
80 
증축
26 
대수선
24 
<NA>
 
12

Length

Max length9
Median length2
Mean length2.6959248
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 175
54.9%
용도변경 80
25.1%
증축 26
 
8.2%
대수선 24
 
7.5%
<NA> 12
 
3.8%
가설건축물축조허가 2
 
0.6%

Length

2023-12-12T19:55:41.262367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:41.485853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 175
54.9%
용도변경 80
25.1%
증축 26
 
8.2%
대수선 24
 
7.5%
na 12
 
3.8%
가설건축물축조허가 2
 
0.6%

허가번호
Text

MISSING 

Distinct307
Distinct (%)100.0%
Missing12
Missing (%)3.8%
Memory size2.6 KiB
2023-12-12T19:55:41.886909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length16.742671
Min length15

Characters and Unicode

Total characters5140
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)100.0%

Sample

1st row2023-건축과-신축허가-87
2nd row2023-건축과-신축허가-86
3rd row2023-건축과-신축허가-85
4th row2023-건축과-신축허가-84
5th row2023-건축과-신축허가-82
ValueCountFrequency (%)
2023-건축과-용도변경허가-53 1
 
0.3%
2022-건축과-용도변경허가-72 1
 
0.3%
2022-건축과-신축허가-184 1
 
0.3%
2022-건축과-용도변경허가-70 1
 
0.3%
2022-건축과-신축허가-185 1
 
0.3%
2022-건축과-신축허가-187 1
 
0.3%
2022-건축과-신축허가-186 1
 
0.3%
2022-건축과-용도변경허가-71 1
 
0.3%
2022-건축과-신축허가-189 1
 
0.3%
2022-건축과-신축허가-194 1
 
0.3%
Other values (297) 297
96.7%
2023-12-12T19:55:42.520972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 921
17.9%
2 813
15.8%
축 512
10.0%
0 340
 
6.6%
건 319
 
6.2%
과 307
 
6.0%
허 292
 
5.7%
가 292
 
5.7%
3 236
 
4.6%
신 173
 
3.4%
Other values (22) 935
18.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2347
45.7%
Decimal Number 1872
36.4%
Dash Punctuation 921
 
17.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 512
21.8%
건 319
13.6%
과 307
13.1%
허 292
12.4%
가 292
12.4%
신 173
 
7.4%
용 82
 
3.5%
변 78
 
3.3%
경 78
 
3.3%
도 78
 
3.3%
Other values (11) 136
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 813
43.4%
0 340
18.2%
3 236
 
12.6%
1 157
 
8.4%
5 62
 
3.3%
6 61
 
3.3%
4 60
 
3.2%
7 57
 
3.0%
8 46
 
2.5%
9 40
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2793
54.3%
Hangul 2347
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 512
21.8%
건 319
13.6%
과 307
13.1%
허 292
12.4%
가 292
12.4%
신 173
 
7.4%
용 82
 
3.5%
변 78
 
3.3%
경 78
 
3.3%
도 78
 
3.3%
Other values (11) 136
 
5.8%
Common
ValueCountFrequency (%)
- 921
33.0%
2 813
29.1%
0 340
 
12.2%
3 236
 
8.4%
1 157
 
5.6%
5 62
 
2.2%
6 61
 
2.2%
4 60
 
2.1%
7 57
 
2.0%
8 46
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2793
54.3%
Hangul 2347
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 921
33.0%
2 813
29.1%
0 340
 
12.2%
3 236
 
8.4%
1 157
 
5.6%
5 62
 
2.2%
6 61
 
2.2%
4 60
 
2.1%
7 57
 
2.0%
8 46
 
1.6%
Hangul
ValueCountFrequency (%)
축 512
21.8%
건 319
13.6%
과 307
13.1%
허 292
12.4%
가 292
12.4%
신 173
 
7.4%
용 82
 
3.5%
변 78
 
3.3%
경 78
 
3.3%
도 78
 
3.3%
Other values (11) 136
 
5.8%

설계변경 차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
282 
1
 
23
<NA>
 
12
2
 
2

Length

Max length4
Median length1
Mean length1.1128527
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 282
88.4%
1 23
 
7.2%
<NA> 12
 
3.8%
2 2
 
0.6%

Length

2023-12-12T19:55:42.776815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:42.992694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 282
88.4%
1 23
 
7.2%
na 12
 
3.8%
2 2
 
0.6%

대지위치
Text

MISSING 

Distinct282
Distinct (%)91.9%
Missing12
Missing (%)3.8%
Memory size2.6 KiB
2023-12-12T19:55:43.623388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.026059
Min length15

Characters and Unicode

Total characters5534
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)84.7%

Sample

1st row대전광역시 서구 갈마동 266-65
2nd row대전광역시 서구 도안동 1483
3rd row대전광역시 서구 괴정동 50-30
4th row대전광역시 서구 정림동 189-3
5th row대전광역시 서구 갈마동 307-7
ValueCountFrequency (%)
대전광역시 307
24.2%
서구 307
24.2%
둔산동 43
 
3.4%
갈마동 41
 
3.2%
관저동 31
 
2.4%
괴정동 28
 
2.2%
탄방동 28
 
2.2%
외1필지 25
 
2.0%
월평동 22
 
1.7%
도안동 21
 
1.7%
Other values (301) 415
32.7%
2023-12-12T19:55:44.588118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
961
17.4%
대 307
 
5.5%
광 307
 
5.5%
역 307
 
5.5%
시 307
 
5.5%
서 307
 
5.5%
구 307
 
5.5%
전 307
 
5.5%
동 307
 
5.5%
1 244
 
4.4%
Other values (45) 1873
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3184
57.5%
Decimal Number 1241
 
22.4%
Space Separator 961
 
17.4%
Dash Punctuation 148
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 307
9.6%
광 307
9.6%
역 307
9.6%
시 307
9.6%
서 307
9.6%
구 307
9.6%
전 307
9.6%
동 307
9.6%
마 58
 
1.8%
산 47
 
1.5%
Other values (33) 623
19.6%
Decimal Number
ValueCountFrequency (%)
1 244
19.7%
3 170
13.7%
2 151
12.2%
4 109
8.8%
0 104
8.4%
6 102
8.2%
8 96
 
7.7%
5 92
 
7.4%
9 91
 
7.3%
7 82
 
6.6%
Space Separator
ValueCountFrequency (%)
961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3184
57.5%
Common 2350
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 307
9.6%
광 307
9.6%
역 307
9.6%
시 307
9.6%
서 307
9.6%
구 307
9.6%
전 307
9.6%
동 307
9.6%
마 58
 
1.8%
산 47
 
1.5%
Other values (33) 623
19.6%
Common
ValueCountFrequency (%)
961
40.9%
1 244
 
10.4%
3 170
 
7.2%
2 151
 
6.4%
- 148
 
6.3%
4 109
 
4.6%
0 104
 
4.4%
6 102
 
4.3%
8 96
 
4.1%
5 92
 
3.9%
Other values (2) 173
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3184
57.5%
ASCII 2350
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
961
40.9%
1 244
 
10.4%
3 170
 
7.2%
2 151
 
6.4%
- 148
 
6.3%
4 109
 
4.6%
0 104
 
4.4%
6 102
 
4.3%
8 96
 
4.1%
5 92
 
3.9%
Other values (2) 173
 
7.4%
Hangul
ValueCountFrequency (%)
대 307
9.6%
광 307
9.6%
역 307
9.6%
시 307
9.6%
서 307
9.6%
구 307
9.6%
전 307
9.6%
동 307
9.6%
마 58
 
1.8%
산 47
 
1.5%
Other values (33) 623
19.6%

지목
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
대
286 
<NA>
 
12
임야
 
5
전
 
3
답
 
3
Other values (6)
 
10

Length

Max length5
Median length1
Mean length1.2100313
Min length1

Unique

Unique4 ?
Unique (%)1.3%

Sample

1st row대
2nd row종교용지
3rd row대
4th row대
5th row대

Common Values

ValueCountFrequency (%)
대 286
89.7%
<NA> 12
 
3.8%
임야 5
 
1.6%
전 3
 
0.9%
답 3
 
0.9%
주유소용지 3
 
0.9%
공원 3
 
0.9%
종교용지 1
 
0.3%
학교용지 1
 
0.3%
잡종지 1
 
0.3%

Length

2023-12-12T19:55:44.867654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 286
89.7%
na 12
 
3.8%
임야 5
 
1.6%
전 3
 
0.9%
답 3
 
0.9%
주유소용지 3
 
0.9%
공원 3
 
0.9%
종교용지 1
 
0.3%
학교용지 1
 
0.3%
잡종지 1
 
0.3%

대지면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct280
Distinct (%)91.2%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean5011.1882
Minimum138
Maximum461477.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:45.132934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138
5-th percentile184.83
Q1231.7
median412
Q31053.6
95-th percentile7004.2
Maximum461477.4
Range461339.4
Interquartile range (IQR)821.9

Descriptive statistics

Standard deviation34560.455
Coefficient of variation (CV)6.8966588
Kurtosis127.93548
Mean5011.1882
Median Absolute Deviation (MAD)198
Skewness10.904392
Sum1538434.8
Variance1.1944251 × 109
MonotonicityNot monotonic
2023-12-12T19:55:45.374843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2284.4 4
 
1.3%
2841.8 3
 
0.9%
209.3 3
 
0.9%
736.4 2
 
0.6%
831.8 2
 
0.6%
667.9 2
 
0.6%
871.3 2
 
0.6%
240.0 2
 
0.6%
4835.7 2
 
0.6%
1295.2 2
 
0.6%
Other values (270) 283
88.7%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
138.0 1
0.3%
142.2 1
0.3%
145.0 1
0.3%
147.5 1
0.3%
148.4 1
0.3%
157.3 1
0.3%
164.4 1
0.3%
164.8 1
0.3%
165.4 1
0.3%
165.8 1
0.3%
ValueCountFrequency (%)
461477.4 1
0.3%
333331.5 1
0.3%
181027.44 1
0.3%
87574.0 1
0.3%
73723.0 1
0.3%
30921.3 1
0.3%
21099.1 1
0.3%
17020.01 1
0.3%
16786.1 1
0.3%
13376.84 1
0.3%

건축면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct284
Distinct (%)92.5%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean880.11113
Minimum22.77
Maximum42096.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:45.609689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.77
5-th percentile85.551
Q1132.21
median196.99
Q3496.88
95-th percentile2354.455
Maximum42096.54
Range42073.77
Interquartile range (IQR)364.67

Descriptive statistics

Standard deviation3379.704
Coefficient of variation (CV)3.8400878
Kurtosis99.900483
Mean880.11113
Median Absolute Deviation (MAD)81.46
Skewness9.4196213
Sum270194.12
Variance11422399
MonotonicityNot monotonic
2023-12-12T19:55:45.843069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1593.04 4
 
1.3%
1704.665 3
 
0.9%
82.88 3
 
0.9%
138.51 2
 
0.6%
783.78 2
 
0.6%
301.88 2
 
0.6%
433.42 2
 
0.6%
3181.0 2
 
0.6%
986.147 2
 
0.6%
255.4 2
 
0.6%
Other values (274) 283
88.7%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
22.77 1
0.3%
55.44 1
0.3%
62.0 1
0.3%
66.11 1
0.3%
73.04 1
0.3%
74.31 1
0.3%
76.84 1
0.3%
79.2 1
0.3%
79.31 1
0.3%
81.19 1
0.3%
ValueCountFrequency (%)
42096.54 1
0.3%
32410.63 1
0.3%
20247.54 1
0.3%
10047.04 1
0.3%
7794.5997 1
0.3%
7515.22 1
0.3%
7090.02 1
0.3%
7010.72 1
0.3%
4878.81 1
0.3%
3181.0 2
0.6%

연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct289
Distinct (%)94.1%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean6191.6218
Minimum22.77
Maximum250088.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:46.683545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.77
5-th percentile129.936
Q1377.803
median514.35
Q33461.88
95-th percentile19245.737
Maximum250088.04
Range250065.27
Interquartile range (IQR)3084.077

Descriptive statistics

Standard deviation24172.95
Coefficient of variation (CV)3.9041386
Kurtosis69.71518
Mean6191.6218
Median Absolute Deviation (MAD)310.97
Skewness7.8608883
Sum1900827.9
Variance5.843315 × 108
MonotonicityNot monotonic
2023-12-12T19:55:46.916582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14932.46 4
 
1.3%
13786.335 3
 
0.9%
4953.6769 2
 
0.6%
13294.83 2
 
0.6%
3709.42 2
 
0.6%
40798.21 2
 
0.6%
10810.768 2
 
0.6%
356.37 2
 
0.6%
784.87 2
 
0.6%
973.74 2
 
0.6%
Other values (279) 284
89.0%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
22.77 1
0.3%
55.44 1
0.3%
66.11 1
0.3%
84.78 1
0.3%
87.0 1
0.3%
97.65 1
0.3%
99.56 1
0.3%
110.18 1
0.3%
112.37 1
0.3%
114.85 1
0.3%
ValueCountFrequency (%)
250088.043 1
0.3%
242700.98 1
0.3%
163011.48 1
0.3%
102749.66 1
0.3%
89291.48 1
0.3%
84978.06 1
0.3%
40798.21 2
0.6%
39883.92 1
0.3%
37311.83 2
0.6%
36207.549 1
0.3%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing293
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean686.63462
Minimum31.05
Maximum6919.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:47.152327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.05
5-th percentile47.4925
Q1112.925
median194.52
Q3690.4725
95-th percentile2878.0975
Maximum6919.41
Range6888.36
Interquartile range (IQR)577.5475

Descriptive statistics

Standard deviation1450.1348
Coefficient of variation (CV)2.1119453
Kurtosis14.713087
Mean686.63462
Median Absolute Deviation (MAD)135.31
Skewness3.716659
Sum17852.5
Variance2102890.8
MonotonicityNot monotonic
2023-12-12T19:55:47.362356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46.99 1
 
0.3%
111.9 1
 
0.3%
49.0 1
 
0.3%
6919.41 1
 
0.3%
191.04 1
 
0.3%
198.0 1
 
0.3%
895.26 1
 
0.3%
987.46 1
 
0.3%
215.1 1
 
0.3%
801.01 1
 
0.3%
Other values (16) 16
 
5.0%
(Missing) 293
91.8%
ValueCountFrequency (%)
31.05 1
0.3%
46.99 1
0.3%
49.0 1
0.3%
49.28 1
0.3%
52.55 1
0.3%
99.85 1
0.3%
111.9 1
0.3%
116.0 1
0.3%
134.8 1
0.3%
146.02 1
0.3%
ValueCountFrequency (%)
6919.41 1
0.3%
3508.31 1
0.3%
987.46 1
0.3%
930.6 1
0.3%
895.26 1
0.3%
859.85 1
0.3%
801.01 1
0.3%
358.86 1
0.3%
323.17 1
0.3%
265.12 1
0.3%

건폐율(퍼센트)
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)75.2%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean53.00382
Minimum0.18
Maximum89.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:47.609900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile13.1649
Q149.71605
median59.36
Q359.91
95-th percentile72.49093
Maximum89.91
Range89.73
Interquartile range (IQR)10.19395

Descriptive statistics

Standard deviation17.362434
Coefficient of variation (CV)0.32756948
Kurtosis1.2565263
Mean53.00382
Median Absolute Deviation (MAD)3.11
Skewness-1.2688431
Sum16272.173
Variance301.4541
MonotonicityNot monotonic
2023-12-12T19:55:47.828187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.99 7
 
2.2%
59.9 6
 
1.9%
59.95 5
 
1.6%
59.89 5
 
1.6%
59.62 5
 
1.6%
59.91 4
 
1.3%
59.93 4
 
1.3%
59.82 4
 
1.3%
69.74 4
 
1.3%
59.83 4
 
1.3%
Other values (221) 259
81.2%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
0.18 1
0.3%
0.91 1
0.3%
3.62 1
0.3%
4.79 1
0.3%
5.14 1
0.3%
5.3 1
0.3%
7.02 1
0.3%
8.0055 1
0.3%
9.13 1
0.3%
9.3076 1
0.3%
ValueCountFrequency (%)
89.91 1
0.3%
85.8 1
0.3%
85.66 2
0.6%
84.94 1
0.3%
83.467 1
0.3%
79.82 1
0.3%
79.52 1
0.3%
78.3767 1
0.3%
78.2901 1
0.3%
78.13 1
0.3%

용적률(퍼센트)
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)93.8%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean219.97308
Minimum0.18
Maximum1215.0925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:48.058114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile19.922
Q1113.435
median179.31
Q3199.9
95-th percentile657.17525
Maximum1215.0925
Range1214.9125
Interquartile range (IQR)86.465

Descriptive statistics

Standard deviation206.70765
Coefficient of variation (CV)0.9396952
Kurtosis5.6243323
Mean219.97308
Median Absolute Deviation (MAD)48.453
Skewness2.2035565
Sum67531.737
Variance42728.053
MonotonicityNot monotonic
2023-12-12T19:55:48.304402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
622.71 4
 
1.3%
149.94 3
 
0.9%
199.31 3
 
0.9%
199.21 2
 
0.6%
765.6278 2
 
0.6%
499.3 2
 
0.6%
530.16 2
 
0.6%
190.63 2
 
0.6%
190.3 2
 
0.6%
479.43 2
 
0.6%
Other values (278) 283
88.7%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
0.18 1
0.3%
0.91 1
0.3%
2.0816 1
0.3%
4.61 1
0.3%
5.3 1
0.3%
10.4 1
0.3%
10.98 1
0.3%
11.56 1
0.3%
11.99 1
0.3%
12.797 1
0.3%
ValueCountFrequency (%)
1215.0925 1
0.3%
1173.04 1
0.3%
1097.71 2
0.6%
920.93 1
0.3%
911.5 1
0.3%
864.5937 1
0.3%
799.51 1
0.3%
797.73 1
0.3%
778.4 1
0.3%
765.6278 2
0.6%

구조
Categorical

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
철근콘크리트구조
217 
<NA>
30 
일반철골구조
27 
경량철골구조
 
14
벽돌구조
 
14
Other values (5)
 
17

Length

Max length10
Median length8
Mean length7.2225705
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 217
68.0%
<NA> 30
 
9.4%
일반철골구조 27
 
8.5%
경량철골구조 14
 
4.4%
벽돌구조 14
 
4.4%
철골철근콘크리트구조 10
 
3.1%
철골콘크리트구조 4
 
1.3%
기타구조 1
 
0.3%
강파이프구조 1
 
0.3%
철골구조 1
 
0.3%

Length

2023-12-12T19:55:48.551342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:48.787784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 217
68.0%
na 30
 
9.4%
일반철골구조 27
 
8.5%
경량철골구조 14
 
4.4%
벽돌구조 14
 
4.4%
철골철근콘크리트구조 10
 
3.1%
철골콘크리트구조 4
 
1.3%
기타구조 1
 
0.3%
강파이프구조 1
 
0.3%
철골구조 1
 
0.3%

취소구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
미취소
307 
<NA>
 
12

Length

Max length4
Median length3
Mean length3.0376176
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미취소 307
96.2%
<NA> 12
 
3.8%

Length

2023-12-12T19:55:49.070282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:49.270153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미취소 307
96.2%
na 12
 
3.8%

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

허가취소일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

허가일
Date

MISSING 

Distinct184
Distinct (%)59.9%
Missing12
Missing (%)3.8%
Memory size2.6 KiB
Minimum2022-07-01 00:00:00
Maximum2023-10-27 00:00:00
2023-12-12T19:55:49.474480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:49.719900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

효력상실일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

최종설계변경일
Date

MISSING 

Distinct23
Distinct (%)92.0%
Missing294
Missing (%)92.2%
Memory size2.6 KiB
Minimum2022-11-21 00:00:00
Maximum2023-10-05 00:00:00
2023-12-12T19:55:49.912064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:50.138149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

착공처리일
Date

MISSING 

Distinct128
Distinct (%)78.0%
Missing155
Missing (%)48.6%
Memory size2.6 KiB
Minimum2022-07-12 00:00:00
Maximum2023-11-13 00:00:00
2023-12-12T19:55:50.394465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:50.642769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공예정일
Date

MISSING 

Distinct125
Distinct (%)76.2%
Missing155
Missing (%)48.6%
Memory size2.6 KiB
Minimum2022-07-15 00:00:00
Maximum2023-11-11 00:00:00
2023-12-12T19:55:50.920533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:51.158795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

실제착공일
Date

MISSING 

Distinct84
Distinct (%)85.7%
Missing221
Missing (%)69.3%
Memory size2.6 KiB
Minimum2022-07-12 00:00:00
Maximum2023-10-04 00:00:00
2023-12-12T19:55:51.396375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:51.618039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공연기일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

착공연기사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

사용승인일
Date

MISSING 

Distinct94
Distinct (%)85.5%
Missing209
Missing (%)65.5%
Memory size2.6 KiB
Minimum2022-08-04 00:00:00
Maximum2023-11-13 00:00:00
2023-12-12T19:55:51.883137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:52.157989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공예정일(사용승인예정일)
Date

MISSING 

Distinct93
Distinct (%)56.7%
Missing155
Missing (%)48.6%
Memory size2.6 KiB
Minimum2022-02-07 00:00:00
Maximum2028-04-14 00:00:00
2023-12-12T19:55:52.418312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:52.666658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건축허가최초접수일
Date

MISSING 

Distinct178
Distinct (%)58.0%
Missing12
Missing (%)3.8%
Memory size2.6 KiB
Minimum2021-10-04 00:00:00
Maximum2023-10-11 00:00:00
2023-12-12T19:55:52.913818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:53.150630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(임시)사용승인최초접수일
Date

MISSING 

Distinct94
Distinct (%)85.5%
Missing209
Missing (%)65.5%
Memory size2.6 KiB
Minimum2022-07-28 00:00:00
Maximum2023-11-06 00:00:00
2023-12-12T19:55:53.405150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:55:53.672283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)5.5%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean4.8957655
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:53.894478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile11
Maximum47
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.0931413
Coefficient of variation (CV)0.83605747
Kurtosis37.201943
Mean4.8957655
Median Absolute Deviation (MAD)1
Skewness4.4845504
Sum1503
Variance16.753806
MonotonicityNot monotonic
2023-12-12T19:55:54.083685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 96
30.1%
5 57
17.9%
1 36
 
11.3%
3 30
 
9.4%
2 29
 
9.1%
10 20
 
6.3%
6 8
 
2.5%
17 6
 
1.9%
9 6
 
1.9%
11 5
 
1.6%
Other values (7) 14
 
4.4%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
1 36
 
11.3%
2 29
 
9.1%
3 30
 
9.4%
4 96
30.1%
5 57
17.9%
6 8
 
2.5%
7 2
 
0.6%
8 4
 
1.3%
9 6
 
1.9%
10 20
 
6.3%
ValueCountFrequency (%)
47 1
 
0.3%
20 1
 
0.3%
17 6
 
1.9%
16 1
 
0.3%
13 2
 
0.6%
12 3
 
0.9%
11 5
 
1.6%
10 20
6.3%
9 6
 
1.9%
8 4
 
1.3%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.0%
Missing51
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean0.80223881
Minimum0
Maximum8
Zeros161
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:54.261918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.377343
Coefficient of variation (CV)1.716874
Kurtosis7.1825983
Mean0.80223881
Median Absolute Deviation (MAD)0
Skewness2.4486934
Sum215
Variance1.8970736
MonotonicityNot monotonic
2023-12-12T19:55:55.007648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 161
50.5%
1 61
 
19.1%
3 16
 
5.0%
2 15
 
4.7%
4 7
 
2.2%
5 5
 
1.6%
8 2
 
0.6%
7 1
 
0.3%
(Missing) 51
 
16.0%
ValueCountFrequency (%)
0 161
50.5%
1 61
 
19.1%
2 15
 
4.7%
3 16
 
5.0%
4 7
 
2.2%
5 5
 
1.6%
7 1
 
0.3%
8 2
 
0.6%
ValueCountFrequency (%)
8 2
 
0.6%
7 1
 
0.3%
5 5
 
1.6%
4 7
 
2.2%
3 16
 
5.0%
2 15
 
4.7%
1 61
 
19.1%
0 161
50.5%

최고높이(미터)
Real number (ℝ)

MISSING  ZEROS 

Distinct214
Distinct (%)69.7%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean19.954085
Minimum0
Maximum179.05
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:55.202346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.665
Q111.7
median14.8
Q319.475
95-th percentile51.18
Maximum179.05
Range179.05
Interquartile range (IQR)7.775

Descriptive statistics

Standard deviation17.493437
Coefficient of variation (CV)0.87668451
Kurtosis23.070584
Mean19.954085
Median Absolute Deviation (MAD)3.6
Skewness3.5584792
Sum6125.904
Variance306.02034
MonotonicityNot monotonic
2023-12-12T19:55:55.438675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.1 6
 
1.9%
14.8 4
 
1.3%
13.6 4
 
1.3%
14.4 4
 
1.3%
12.9 4
 
1.3%
42.3 4
 
1.3%
14.6 4
 
1.3%
0.0 4
 
1.3%
6.1 3
 
0.9%
17.7 3
 
0.9%
Other values (204) 267
83.7%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
0.0 4
1.3%
2.7 2
0.6%
2.96 1
 
0.3%
3.55 1
 
0.3%
4.0 2
0.6%
4.2 2
0.6%
4.3 1
 
0.3%
4.4 1
 
0.3%
4.45 1
 
0.3%
4.65 1
 
0.3%
ValueCountFrequency (%)
179.05 1
0.3%
88.8 1
0.3%
78.25 1
0.3%
72.88 1
0.3%
70.5 2
0.6%
68.6 1
0.3%
64.8 1
0.3%
58.55 2
0.6%
58.06 1
0.3%
57.775 1
0.3%

동수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.9%
Missing12
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean1.4560261
Minimum0
Maximum35
Zeros8
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:55.654007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2.7
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8146189
Coefficient of variation (CV)1.9330828
Kurtosis97.593878
Mean1.4560261
Median Absolute Deviation (MAD)0
Skewness9.3290952
Sum447
Variance7.9220796
MonotonicityNot monotonic
2023-12-12T19:55:55.858376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 266
83.4%
2 17
 
5.3%
0 8
 
2.5%
3 4
 
1.3%
4 3
 
0.9%
14 2
 
0.6%
5 2
 
0.6%
6 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.6%
(Missing) 12
 
3.8%
ValueCountFrequency (%)
0 8
 
2.5%
1 266
83.4%
2 17
 
5.3%
3 4
 
1.3%
4 3
 
0.9%
5 2
 
0.6%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
14 2
 
0.6%
ValueCountFrequency (%)
35 1
 
0.3%
29 1
 
0.3%
14 2
 
0.6%
8 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.6%
4 3
 
0.9%
3 4
 
1.3%
2 17
5.3%

승강기합
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.7%
Missing83
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean1.4745763
Minimum0
Maximum28
Zeros41
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:56.067100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4170031
Coefficient of variation (CV)1.6391171
Kurtosis68.08509
Mean1.4745763
Median Absolute Deviation (MAD)0
Skewness7.2376304
Sum348
Variance5.8419041
MonotonicityNot monotonic
2023-12-12T19:55:56.275767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 138
43.3%
0 41
 
12.9%
2 34
 
10.7%
3 8
 
2.5%
5 5
 
1.6%
4 5
 
1.6%
11 1
 
0.3%
6 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
(Missing) 83
26.0%
ValueCountFrequency (%)
0 41
 
12.9%
1 138
43.3%
2 34
 
10.7%
3 8
 
2.5%
4 5
 
1.6%
5 5
 
1.6%
6 1
 
0.3%
11 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
ValueCountFrequency (%)
28 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
11 1
 
0.3%
6 1
 
0.3%
5 5
 
1.6%
4 5
 
1.6%
3 8
 
2.5%
2 34
 
10.7%
1 138
43.3%

비상승강기합
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
280 
1
 
18
0
 
13
2
 
6
3
 
1

Length

Max length4
Median length4
Mean length3.6332288
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 280
87.8%
1 18
 
5.6%
0 13
 
4.1%
2 6
 
1.9%
3 1
 
0.3%
5 1
 
0.3%

Length

2023-12-12T19:55:56.496207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:56.720336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 280
87.8%
1 18
 
5.6%
0 13
 
4.1%
2 6
 
1.9%
3 1
 
0.3%
5 1
 
0.3%

하수처리시설명
Categorical

IMBALANCE 

Distinct13
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
하수종말처리장연결
177 
부패탱크방법
81 
<NA>
46 
접촉폭기방법
 
3
접촉산화방법
 
2
Other values (8)
 
10

Length

Max length13
Median length9
Mean length7.4169279
Min length4

Unique

Unique6 ?
Unique (%)1.9%

Sample

1st row하수종말처리장연결
2nd row하수종말처리장연결
3rd row부패탱크방법
4th row장기폭기방법
5th row하수종말처리장연결

Common Values

ValueCountFrequency (%)
하수종말처리장연결 177
55.5%
부패탱크방법 81
25.4%
<NA> 46
 
14.4%
접촉폭기방법 3
 
0.9%
접촉산화방법 2
 
0.6%
기타오수처리시설 2
 
0.6%
단독정화조 2
 
0.6%
장기폭기방법 1
 
0.3%
기타단독정화조 1
 
0.3%
혐기및호기성미생물조정방법 1
 
0.3%
Other values (3) 3
 
0.9%

Length

2023-12-12T19:55:56.917585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하수종말처리장연결 177
55.5%
부패탱크방법 81
25.4%
na 46
 
14.4%
접촉폭기방법 3
 
0.9%
접촉산화방법 2
 
0.6%
기타오수처리시설 2
 
0.6%
단독정화조 2
 
0.6%
장기폭기방법 1
 
0.3%
기타단독정화조 1
 
0.3%
혐기및호기성미생물조정방법 1
 
0.3%
Other values (3) 3
 
0.9%

하수처리시설용량(세제곱미터)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)84.0%
Missing269
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean31.0615
Minimum0.9
Maximum407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:55:57.151715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.9555
Q14.5555
median8.0935
Q319.2
95-th percentile127.5895
Maximum407
Range406.1
Interquartile range (IQR)14.6445

Descriptive statistics

Standard deviation78.483411
Coefficient of variation (CV)2.5267103
Kurtosis17.074411
Mean31.0615
Median Absolute Deviation (MAD)4.0935
Skewness4.1406241
Sum1553.075
Variance6159.6458
MonotonicityNot monotonic
2023-12-12T19:55:57.427976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6.0 2
 
0.6%
42.55 2
 
0.6%
33.937 2
 
0.6%
4.0 2
 
0.6%
8.0 2
 
0.6%
20.0 2
 
0.6%
5.0 2
 
0.6%
2.66 2
 
0.6%
10.81 1
 
0.3%
7.44 1
 
0.3%
Other values (32) 32
 
10.0%
(Missing) 269
84.3%
ValueCountFrequency (%)
0.9 1
0.3%
1.71 1
0.3%
1.78 1
0.3%
2.17 1
0.3%
2.66 2
0.6%
3.1 1
0.3%
3.43 1
0.3%
3.94 1
0.3%
4.0 2
0.6%
4.35 1
0.3%
ValueCountFrequency (%)
407.0 1
0.3%
367.51 1
0.3%
182.89 1
0.3%
60.0 1
0.3%
42.55 2
0.6%
40.0 1
0.3%
34.0 1
0.3%
33.937 2
0.6%
27.69 1
0.3%
20.0 2
0.6%

주용도
Categorical

Distinct21
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
단독주택
159 
제1종근린생활시설
43 
제2종근린생활시설
31 
업무시설
24 
<NA>
 
12
Other values (16)
50 

Length

Max length10
Median length4
Mean length5.3949843
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row단독주택
2nd row종교시설
3rd row단독주택
4th row제2종근린생활시설
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택 159
49.8%
제1종근린생활시설 43
 
13.5%
제2종근린생활시설 31
 
9.7%
업무시설 24
 
7.5%
<NA> 12
 
3.8%
자동차관련시설 7
 
2.2%
교육연구시설 7
 
2.2%
의료시설 5
 
1.6%
운동시설 4
 
1.3%
노유자시설 4
 
1.3%
Other values (11) 23
 
7.2%

Length

2023-12-12T19:55:57.678522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 159
49.8%
제1종근린생활시설 43
 
13.5%
제2종근린생활시설 31
 
9.7%
업무시설 24
 
7.5%
na 12
 
3.8%
자동차관련시설 7
 
2.2%
교육연구시설 7
 
2.2%
의료시설 5
 
1.6%
운동시설 4
 
1.3%
노유자시설 4
 
1.3%
Other values (11) 23
 
7.2%

부속용도
Text

MISSING 

Distinct163
Distinct (%)62.0%
Missing56
Missing (%)17.6%
Memory size2.6 KiB
2023-12-12T19:55:58.113347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length12.695817
Min length2

Characters and Unicode

Total characters3339
Distinct characters145
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)50.2%

Sample

1st row다중주택,제2종근린생활시설
2nd row다중주택(9호), 제1종근린생활시설(소매점)
3rd row외 위험물저장및처리시설
4th row다가구주택
5th row다중주택 및 소매점
ValueCountFrequency (%)
다가구주택 41
 
10.9%
제2종근린생활시설(사무소 20
 
5.3%
다중주택 19
 
5.1%
근린생활시설 13
 
3.5%
사무소 12
 
3.2%
제2종근생(사무소 11
 
2.9%
제2종근린생활시설 10
 
2.7%
오피스텔 9
 
2.4%
주택 8
 
2.1%
소매점 8
 
2.1%
Other values (141) 224
59.7%
2023-12-12T19:55:58.832779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 198
 
5.9%
시 155
 
4.6%
주 154
 
4.6%
설 154
 
4.6%
택 144
 
4.3%
다 132
 
4.0%
생 125
 
3.7%
근 123
 
3.7%
) 120
 
3.6%
( 120
 
3.6%
Other values (135) 1914
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2551
76.4%
Decimal Number 231
 
6.9%
Other Punctuation 203
 
6.1%
Close Punctuation 120
 
3.6%
Open Punctuation 120
 
3.6%
Space Separator 112
 
3.4%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 155
 
6.1%
주 154
 
6.0%
설 154
 
6.0%
택 144
 
5.6%
다 132
 
5.2%
생 125
 
4.9%
근 123
 
4.8%
소 109
 
4.3%
종 108
 
4.2%
구 106
 
4.2%
Other values (117) 1241
48.6%
Decimal Number
ValueCountFrequency (%)
1 103
44.6%
2 92
39.8%
3 7
 
3.0%
4 7
 
3.0%
9 7
 
3.0%
7 4
 
1.7%
5 4
 
1.7%
0 3
 
1.3%
8 3
 
1.3%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 198
97.5%
/ 4
 
2.0%
. 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2551
76.4%
Common 788
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 155
 
6.1%
주 154
 
6.0%
설 154
 
6.0%
택 144
 
5.6%
다 132
 
5.2%
생 125
 
4.9%
근 123
 
4.8%
소 109
 
4.3%
종 108
 
4.2%
구 106
 
4.2%
Other values (117) 1241
48.6%
Common
ValueCountFrequency (%)
, 198
25.1%
) 120
15.2%
( 120
15.2%
112
14.2%
1 103
13.1%
2 92
11.7%
3 7
 
0.9%
4 7
 
0.9%
9 7
 
0.9%
7 4
 
0.5%
Other values (8) 18
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2551
76.4%
ASCII 788
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 198
25.1%
) 120
15.2%
( 120
15.2%
112
14.2%
1 103
13.1%
2 92
11.7%
3 7
 
0.9%
4 7
 
0.9%
9 7
 
0.9%
7 4
 
0.5%
Other values (8) 18
 
2.3%
Hangul
ValueCountFrequency (%)
시 155
 
6.1%
주 154
 
6.0%
설 154
 
6.0%
택 144
 
5.6%
다 132
 
5.2%
생 125
 
4.9%
근 123
 
4.8%
소 109
 
4.3%
종 108
 
4.2%
구 106
 
4.2%
Other values (117) 1241
48.6%

용도지역
Categorical

Distinct15
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
제2종일반주거지역
98 
가축사육제한구역
92 
자연녹지지역
20 
중심상업지역
20 
준주거지역
20 
Other values (10)
69 

Length

Max length9
Median length8
Mean length7.6739812
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row가축사육제한구역
2nd row가축사육제한구역
3rd row가축사육제한구역
4th row자연녹지지역
5th row제3종일반주거지역

Common Values

ValueCountFrequency (%)
제2종일반주거지역 98
30.7%
가축사육제한구역 92
28.8%
자연녹지지역 20
 
6.3%
중심상업지역 20
 
6.3%
준주거지역 20
 
6.3%
제1종일반주거지역 17
 
5.3%
제3종일반주거지역 16
 
5.0%
일반상업지역 13
 
4.1%
<NA> 12
 
3.8%
도시지역 3
 
0.9%
Other values (5) 8
 
2.5%

Length

2023-12-12T19:55:59.078580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종일반주거지역 98
30.7%
가축사육제한구역 92
28.8%
자연녹지지역 20
 
6.3%
중심상업지역 20
 
6.3%
준주거지역 20
 
6.3%
제1종일반주거지역 17
 
5.3%
제3종일반주거지역 16
 
5.0%
일반상업지역 13
 
4.1%
na 12
 
3.8%
도시지역 3
 
0.9%
Other values (5) 8
 
2.5%

용도지구
Categorical

IMBALANCE 

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
280 
최저고도지구
 
10
시가지경관지구
 
7
시가지경관지구(일반)
 
5
재정비촉진지구
 
5
Other values (6)
 
12

Length

Max length11
Median length4
Mean length4.3667712
Min length4

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row시가지경관지구

Common Values

ValueCountFrequency (%)
<NA> 280
87.8%
최저고도지구 10
 
3.1%
시가지경관지구 7
 
2.2%
시가지경관지구(일반) 5
 
1.6%
재정비촉진지구 5
 
1.6%
방화지구 4
 
1.3%
재정비촉진지구기타 2
 
0.6%
자연취락지구 2
 
0.6%
철도보호지구 2
 
0.6%
집단취락지구 1
 
0.3%

Length

2023-12-12T19:55:59.335635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 280
87.8%
최저고도지구 10
 
3.1%
시가지경관지구 7
 
2.2%
시가지경관지구(일반 5
 
1.6%
재정비촉진지구 5
 
1.6%
방화지구 4
 
1.3%
재정비촉진지구기타 2
 
0.6%
자연취락지구 2
 
0.6%
철도보호지구 2
 
0.6%
집단취락지구 1
 
0.3%

용도구역
Categorical

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
지구단위계획구역
121 
<NA>
113 
중점경관관리구역
43 
가축사육제한구역
23 
제1종지구단위계획구역
 
8
Other values (5)
 
11

Length

Max length14
Median length8
Mean length6.6394984
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row중점경관관리구역
3rd row<NA>
4th row가축사육제한구역
5th row중점경관관리구역

Common Values

ValueCountFrequency (%)
지구단위계획구역 121
37.9%
<NA> 113
35.4%
중점경관관리구역 43
 
13.5%
가축사육제한구역 23
 
7.2%
제1종지구단위계획구역 8
 
2.5%
개발제한구역 6
 
1.9%
상대보호구역 2
 
0.6%
역사문화환경보존지역 1
 
0.3%
문화재보존영향 검토대상구역 1
 
0.3%
가축사육제한구역기타 1
 
0.3%

Length

2023-12-12T19:55:59.558364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:59.797914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지구단위계획구역 121
37.8%
na 113
35.3%
중점경관관리구역 43
 
13.4%
가축사육제한구역 23
 
7.2%
제1종지구단위계획구역 8
 
2.5%
개발제한구역 6
 
1.9%
상대보호구역 2
 
0.6%
역사문화환경보존지역 1
 
0.3%
문화재보존영향 1
 
0.3%
검토대상구역 1
 
0.3%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)38.4%
Missing168
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean64.523179
Minimum0
Maximum2007
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:00.095269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q346
95-th percentile255.5
Maximum2007
Range2007
Interquartile range (IQR)43

Descriptive statistics

Standard deviation200.46948
Coefficient of variation (CV)3.1069374
Kurtosis61.424076
Mean64.523179
Median Absolute Deviation (MAD)5
Skewness7.0751365
Sum9743
Variance40188.011
MonotonicityNot monotonic
2023-12-12T19:56:00.335289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 23
 
7.2%
4 17
 
5.3%
1 11
 
3.4%
3 11
 
3.4%
5 8
 
2.5%
9 6
 
1.9%
8 5
 
1.6%
6 4
 
1.3%
87 3
 
0.9%
13 3
 
0.9%
Other values (48) 60
 
18.8%
(Missing) 168
52.7%
ValueCountFrequency (%)
0 1
 
0.3%
1 11
3.4%
2 23
7.2%
3 11
3.4%
4 17
5.3%
5 8
 
2.5%
6 4
 
1.3%
7 3
 
0.9%
8 5
 
1.6%
9 6
 
1.9%
ValueCountFrequency (%)
2007 1
0.3%
887 1
0.3%
718 1
0.3%
622 1
0.3%
417 1
0.3%
358 2
0.6%
278 1
0.3%
233 1
0.3%
215 1
0.3%
198 1
0.3%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)15.3%
Missing116
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean26.91133
Minimum0
Maximum1767
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:00.558858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35.5
95-th percentile53
Maximum1767
Range1767
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation161.51434
Coefficient of variation (CV)6.0017228
Kurtosis90.706451
Mean26.91133
Median Absolute Deviation (MAD)1
Skewness9.2917709
Sum5463
Variance26086.883
MonotonicityNot monotonic
2023-12-12T19:56:00.758971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 45
 
14.1%
2 44
 
13.8%
4 34
 
10.7%
5 15
 
4.7%
1 13
 
4.1%
6 13
 
4.1%
7 7
 
2.2%
8 4
 
1.3%
12 2
 
0.6%
9 2
 
0.6%
Other values (21) 24
 
7.5%
(Missing) 116
36.4%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
 
4.1%
2 44
13.8%
3 45
14.1%
4 34
10.7%
5 15
 
4.7%
6 13
 
4.1%
7 7
 
2.2%
8 4
 
1.3%
9 2
 
0.6%
ValueCountFrequency (%)
1767 1
0.3%
1374 1
0.3%
486 1
0.3%
260 1
0.3%
232 1
0.3%
112 1
0.3%
108 1
0.3%
73 1
0.3%
69 1
0.3%
55 1
0.3%

기계식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)68.0%
Missing294
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean64.52
Minimum18
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:00.947583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile21.2
Q138
median48
Q360
95-th percentile140.2
Maximum233
Range215
Interquartile range (IQR)22

Descriptive statistics

Standard deviation48.408092
Coefficient of variation (CV)0.7502804
Kurtosis5.2531842
Mean64.52
Median Absolute Deviation (MAD)12
Skewness2.1446157
Sum1613
Variance2343.3433
MonotonicityNot monotonic
2023-12-12T19:56:01.129333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
44 4
 
1.3%
34 3
 
0.9%
52 2
 
0.6%
60 2
 
0.6%
125 2
 
0.6%
54 1
 
0.3%
233 1
 
0.3%
94 1
 
0.3%
20 1
 
0.3%
48 1
 
0.3%
Other values (7) 7
 
2.2%
(Missing) 294
92.2%
ValueCountFrequency (%)
18 1
 
0.3%
20 1
 
0.3%
26 1
 
0.3%
34 3
0.9%
38 1
 
0.3%
40 1
 
0.3%
44 4
1.3%
48 1
 
0.3%
50 1
 
0.3%
52 2
0.6%
ValueCountFrequency (%)
233 1
0.3%
144 1
0.3%
125 2
0.6%
96 1
0.3%
94 1
0.3%
60 2
0.6%
54 1
0.3%
52 2
0.6%
50 1
0.3%
48 1
0.3%

기계식옥외주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

인근자주식주차장(대)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
315 
0
 
1
341
 
1
31
 
1
16
 
1

Length

Max length4
Median length4
Mean length3.9749216
Min length1

Unique

Unique4 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 315
98.7%
0 1
 
0.3%
341 1
 
0.3%
31 1
 
0.3%
16 1
 
0.3%

Length

2023-12-12T19:56:01.336368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:01.504134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
98.7%
0 1
 
0.3%
341 1
 
0.3%
31 1
 
0.3%
16 1
 
0.3%

인근기계식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing319
Missing (%)100.0%
Memory size2.9 KiB

총주차대수
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)25.1%
Missing16
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean56.788779
Minimum0
Maximum2485
Zeros37
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:01.700528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q326
95-th percentile230.3
Maximum2485
Range2485
Interquartile range (IQR)23

Descriptive statistics

Standard deviation221.3331
Coefficient of variation (CV)3.8974794
Kurtosis72.80602
Mean56.788779
Median Absolute Deviation (MAD)4
Skewness7.9559306
Sum17207
Variance48988.339
MonotonicityNot monotonic
2023-12-12T19:56:01.937020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 41
 
12.9%
0 37
 
11.6%
4 35
 
11.0%
2 21
 
6.6%
6 21
 
6.6%
5 14
 
4.4%
10 8
 
2.5%
1 8
 
2.5%
7 7
 
2.2%
13 7
 
2.2%
Other values (66) 104
32.6%
(Missing) 16
 
5.0%
ValueCountFrequency (%)
0 37
11.6%
1 8
 
2.5%
2 21
6.6%
3 41
12.9%
4 35
11.0%
5 14
 
4.4%
6 21
6.6%
7 7
 
2.2%
8 5
 
1.6%
9 2
 
0.6%
ValueCountFrequency (%)
2485 1
0.3%
2007 1
0.3%
1374 1
0.3%
1120 1
0.3%
733 1
0.3%
595 1
0.3%
471 1
0.3%
358 2
0.6%
341 1
0.3%
300 2
0.6%

총주차장면적(제곱미터)
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)33.0%
Missing16
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean734.54598
Minimum0
Maximum83908.48
Zeros68
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:02.161252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.975
median50
Q3119.7
95-th percentile2317.267
Maximum83908.48
Range83908.48
Interquartile range (IQR)100.725

Descriptive statistics

Standard deviation5110.3791
Coefficient of variation (CV)6.9571942
Kurtosis234.60679
Mean734.54598
Median Absolute Deviation (MAD)50
Skewness14.61718
Sum222567.43
Variance26115974
MonotonicityNot monotonic
2023-12-12T19:56:02.366244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 68
21.3%
50.0 27
 
8.5%
37.5 25
 
7.8%
75.0 16
 
5.0%
37.0 13
 
4.1%
25.0 11
 
3.4%
62.5 8
 
2.5%
119.7 6
 
1.9%
87.5 5
 
1.6%
100.0 4
 
1.3%
Other values (90) 120
37.6%
(Missing) 16
 
5.0%
ValueCountFrequency (%)
0.0 68
21.3%
10.0 1
 
0.3%
11.5 2
 
0.6%
12.0 2
 
0.6%
12.5 2
 
0.6%
14.95 1
 
0.3%
23.0 3
 
0.9%
24.0 3
 
0.9%
24.5 1
 
0.3%
25.0 11
 
3.4%
ValueCountFrequency (%)
83908.4797 1
 
0.3%
15078.16 1
 
0.3%
14469.72 2
0.6%
9148.71 2
0.6%
8030.92 1
 
0.3%
6254.36 1
 
0.3%
3360.843 1
 
0.3%
3043.81 1
 
0.3%
2807.89 3
0.9%
2668.0 1
 
0.3%

세대수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
308 
1
 
4
0
 
3
30
 
2
20
 
1

Length

Max length4
Median length4
Mean length3.9059561
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 308
96.6%
1 4
 
1.3%
0 3
 
0.9%
30 2
 
0.6%
20 1
 
0.3%
4 1
 
0.3%

Length

2023-12-12T19:56:02.632827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:02.843801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 308
96.6%
1 4
 
1.3%
0 3
 
0.9%
30 2
 
0.6%
20 1
 
0.3%
4 1
 
0.3%

호수
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)36.4%
Missing264
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean38.2
Minimum0
Maximum832
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:03.046724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median12
Q315.5
95-th percentile144
Maximum832
Range832
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation115.2293
Coefficient of variation (CV)3.0164739
Kurtosis43.515826
Mean38.2
Median Absolute Deviation (MAD)2
Skewness6.3411242
Sum2101
Variance13277.793
MonotonicityNot monotonic
2023-12-12T19:56:03.251079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 14
 
4.4%
14 5
 
1.6%
12 5
 
1.6%
1 4
 
1.3%
13 4
 
1.3%
10 4
 
1.3%
9 2
 
0.6%
0 2
 
0.6%
144 2
 
0.6%
23 2
 
0.6%
Other values (10) 11
 
3.4%
(Missing) 264
82.8%
ValueCountFrequency (%)
0 2
 
0.6%
1 4
 
1.3%
2 1
 
0.3%
9 2
 
0.6%
10 4
 
1.3%
11 14
4.4%
12 5
 
1.6%
13 4
 
1.3%
14 5
 
1.6%
17 1
 
0.3%
ValueCountFrequency (%)
832 1
0.3%
172 1
0.3%
144 2
0.6%
134 1
0.3%
78 1
0.3%
42 1
0.3%
29 1
0.3%
25 1
0.3%
23 2
0.6%
19 2
0.6%

가구수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)13.2%
Missing160
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean7.9433962
Minimum0
Maximum26
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:03.432988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median7
Q312
95-th percentile19
Maximum26
Range26
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.4417991
Coefficient of variation (CV)0.81096283
Kurtosis-1.0338773
Mean7.9433962
Median Absolute Deviation (MAD)6
Skewness0.40586662
Sum1263
Variance41.496776
MonotonicityNot monotonic
2023-12-12T19:56:03.624132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 46
 
14.4%
11 18
 
5.6%
18 9
 
2.8%
14 8
 
2.5%
7 8
 
2.5%
3 8
 
2.5%
19 7
 
2.2%
12 7
 
2.2%
9 7
 
2.2%
17 7
 
2.2%
Other values (11) 34
 
10.7%
(Missing) 160
50.2%
ValueCountFrequency (%)
0 4
 
1.3%
1 46
14.4%
2 2
 
0.6%
3 8
 
2.5%
4 4
 
1.3%
5 6
 
1.9%
6 3
 
0.9%
7 8
 
2.5%
8 3
 
0.9%
9 7
 
2.2%
ValueCountFrequency (%)
26 1
 
0.3%
20 1
 
0.3%
19 7
 
2.2%
18 9
2.8%
17 7
 
2.2%
15 5
 
1.6%
14 8
2.5%
13 1
 
0.3%
12 7
 
2.2%
11 18
5.6%

주건축물수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)3.4%
Missing21
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean1.3322148
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T19:56:03.783170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum29
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.026849
Coefficient of variation (CV)1.5214131
Kurtosis124.90498
Mean1.3322148
Median Absolute Deviation (MAD)0
Skewness10.224813
Sum397
Variance4.108117
MonotonicityNot monotonic
2023-12-12T19:56:03.970378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 277
86.8%
2 7
 
2.2%
4 3
 
0.9%
3 3
 
0.9%
5 3
 
0.9%
12 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
29 1
 
0.3%
14 1
 
0.3%
(Missing) 21
 
6.6%
ValueCountFrequency (%)
1 277
86.8%
2 7
 
2.2%
3 3
 
0.9%
4 3
 
0.9%
5 3
 
0.9%
7 1
 
0.3%
8 1
 
0.3%
12 1
 
0.3%
14 1
 
0.3%
29 1
 
0.3%
ValueCountFrequency (%)
29 1
 
0.3%
14 1
 
0.3%
12 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
5 3
 
0.9%
4 3
 
0.9%
3 3
 
0.9%
2 7
 
2.2%
1 277
86.8%

부속건축물수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
288 
1
 
18
0
 
11
2
 
1
30
 
1

Length

Max length4
Median length4
Mean length3.7115987
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 288
90.3%
1 18
 
5.6%
0 11
 
3.4%
2 1
 
0.3%
30 1
 
0.3%

Length

2023-12-12T19:56:04.170347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:04.393847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
90.3%
1 18
 
5.6%
0 11
 
3.4%
2 1
 
0.3%
30 1
 
0.3%

Sample

건축구분허가번호설계변경 차수대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분철거멸실구분허가취소일허가일효력상실일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일준공예정일(사용승인예정일)건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
0신축2023-건축과-신축허가-870대전광역시 서구 갈마동 266-65대250.5149.77498.37<NA>59.79198.95철근콘크리트구조미취소<NA><NA>2023-10-27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-09-20<NA>5015.6211<NA>하수종말처리장연결<NA>단독주택다중주택,제2종근린생활시설가축사육제한구역<NA><NA>22<NA><NA><NA><NA>450.0<NA>1311<NA>
1신축2023-건축과-신축허가-860대전광역시 서구 도안동 1483종교용지4656.61640.254367.89<NA>35.224278.9417일반철골구조미취소<NA><NA>2023-10-24<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-08-07<NA>3117.112<NA>하수종말처리장연결<NA>종교시설<NA>가축사육제한구역<NA>중점경관관리구역<NA>44<NA><NA><NA><NA>44536.8<NA><NA><NA>1<NA>
2신축2023-건축과-신축허가-850대전광역시 서구 괴정동 50-30대171.3102.12256.85<NA>59.61149.94철근콘크리트구조미취소<NA><NA>2023-10-23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-02-10<NA>4013.311<NA>부패탱크방법<NA>단독주택다중주택(9호), 제1종근린생활시설(소매점)가축사육제한구역<NA><NA>2<NA><NA><NA><NA><NA>225.0<NA>911<NA>
3신축2023-건축과-신축허가-840대전광역시 서구 정림동 189-3대418.081.89428.21<NA>19.5939.01철근콘크리트구조미취소<NA><NA>2023-10-20<NA><NA>2023-11-132023-11-11<NA><NA><NA><NA><NA>2024-03-302023-04-10<NA>3117.192<NA><NA>장기폭기방법8.0제2종근린생활시설외 위험물저장및처리시설자연녹지지역<NA>가축사육제한구역<NA>3<NA><NA><NA><NA>337.5<NA><NA><NA>2<NA>
4신축2023-건축과-신축허가-820대전광역시 서구 갈마동 307-7대299.9146.54589.06<NA>48.86196.42철근콘크리트구조미취소<NA><NA>2023-10-19<NA><NA>2023-10-302023-10-26<NA><NA><NA><NA><NA>2024-03-312023-10-11<NA>5017.811<NA>하수종말처리장연결<NA>단독주택다가구주택제3종일반주거지역시가지경관지구중점경관관리구역44<NA><NA><NA><NA>8100.0<NA><NA>121<NA>
5신축2023-건축과-신축허가-830대전광역시 서구 월평동 1187대269.5160.93515.8<NA>59.71191.39철근콘크리트구조미취소<NA><NA>2023-10-19<NA><NA>2023-11-032023-11-05<NA><NA><NA><NA><NA>2024-06-302023-10-11<NA>4016.511<NA>하수종말처리장연결<NA>단독주택다중주택 및 소매점제2종일반주거지역<NA>지구단위계획구역22<NA><NA><NA><NA>450.0<NA><NA>111<NA>
6용도변경2023-건축과-용도변경허가-550대전광역시 서구 월평동 243대2453.42101.6437311.83<NA>85.661097.71<NA>미취소<NA><NA>2023-10-16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-10-04<NA>17570.5152하수종말처리장연결<NA>운동시설<NA>중심상업지역최저고도지구<NA>175<NA>125<NA><NA><NA>3009148.71<NA><NA><NA>1<NA>
7증축2023-건축과-증축허가-130대전광역시 서구 둔산동 1053대450.0269.02565.58323.1759.78125.68일반철골구조미취소<NA><NA>2023-10-13<NA><NA>2023-10-242023-10-23<NA><NA><NA><NA><NA>2024-01-312023-09-20<NA>3010.41<NA><NA>하수종말처리장연결8.26제2종근린생활시설휴게음식점준주거지역<NA>지구단위계획구역<NA>4<NA><NA><NA><NA>454.0<NA><NA><NA>1<NA>
8용도변경2023-건축과-용도변경허가-520대전광역시 서구 용문동 594-1대853.6712.4748344.935<NA>83.467660.8975철근콘크리트구조미취소<NA><NA>2023-10-11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-09-19<NA>8437.612<NA>부패탱크방법<NA>업무시설업무시설,교육연구시설,근린생활시설,운동시설도시지역방화지구<NA>35<NA><NA><NA><NA><NA>350.0<NA><NA><NA>10
9용도변경2023-건축과-용도변경허가-530대전광역시 서구 둔산동 1081대2284.41593.0414932.46<NA>69.74622.71철골철근콘크리트구조미취소<NA><NA>2023-10-11<NA><NA><NA><NA><NA><NA><NA><NA>2023-11-13<NA>2023-09-132023-11-0610142.3121하수종말처리장연결<NA>제1종근린생활시설제2종근린생활시설,업무시설,교육연구시설,운동시설가축사육제한구역<NA>지구단위계획구역89<NA><NA><NA><NA><NA>891029.5<NA><NA><NA>1<NA>
건축구분허가번호설계변경 차수대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분철거멸실구분허가취소일허가일효력상실일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일준공예정일(사용승인예정일)건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수
309<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
310<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
314<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
315<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
318<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

건축구분허가번호설계변경 차수대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조취소구분허가일최종설계변경일착공처리일착공예정일실제착공일사용승인일준공예정일(사용승인예정일)건축허가최초접수일(임시)사용승인최초접수일최대지상층수최대지하층수최고높이(미터)동수승강기합비상승강기합하수처리시설명하수처리시설용량(세제곱미터)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)인근자주식주차장(대)총주차대수총주차장면적(제곱미터)세대수호수가구수주건축물수부속건축물수# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12