Overview

Dataset statistics

Number of variables49
Number of observations191
Missing cells3261
Missing cells (%)34.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.8 KiB
Average record size in memory422.7 B

Variable types

Categorical15
Text3
Numeric17
Unsupported8
DateTime6

Dataset

Description화성시 2015년 08월 기준 착고신고허가현황(건축구분, 대지위치, 대지면적, 건축면적, 건페율, 착공처리일, 착공예정일 등) 정보를 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15052043/fileData.do

Alerts

건축구분 is highly imbalanced (56.2%)Imbalance
구조 is highly imbalanced (52.8%)Imbalance
승강기합 is highly imbalanced (62.2%)Imbalance
비상승강기합 is highly imbalanced (95.3%)Imbalance
용도지구 is highly imbalanced (74.0%)Imbalance
용도구역 is highly imbalanced (54.6%)Imbalance
호수 is highly imbalanced (91.1%)Imbalance
부속건축물수 is highly imbalanced (91.7%)Imbalance
증축연면적(㎡) has 150 (78.5%) missing valuesMissing
취소구분 has 191 (100.0%) missing valuesMissing
철거멸실구분 has 191 (100.0%) missing valuesMissing
허가취소일 has 191 (100.0%) missing valuesMissing
최종설계변경일 has 171 (89.5%) missing valuesMissing
실제착공일 has 187 (97.9%) missing valuesMissing
착공연기일 has 188 (98.4%) missing valuesMissing
착공연기사유 has 188 (98.4%) missing valuesMissing
임시사용승인기간 has 191 (100.0%) missing valuesMissing
사용승인일 has 187 (97.9%) missing valuesMissing
하수처리시설용량(㎥) has 73 (38.2%) missing valuesMissing
부속용도 has 67 (35.1%) missing valuesMissing
자주식옥내주차장(대) has 168 (88.0%) missing valuesMissing
자주식옥외주차장(대) has 20 (10.5%) missing valuesMissing
기계식옥내주차장(대) has 191 (100.0%) missing valuesMissing
기계식옥외주차장(대) has 191 (100.0%) missing valuesMissing
인근자주식주차장(대) has 191 (100.0%) missing valuesMissing
인근기계식주차장(대) has 191 (100.0%) missing valuesMissing
총주차대수 has 5 (2.6%) missing valuesMissing
총주차장면적(㎡) has 5 (2.6%) missing valuesMissing
세대수 has 183 (95.8%) missing valuesMissing
가구수 has 126 (66.0%) missing valuesMissing
주건축물수 has 15 (7.9%) missing valuesMissing
취소구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
임시사용승인기간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기계식옥내주차장(대) 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
인근자주식주차장(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
동수 has 15 (7.9%) zerosZeros
총주차장면적(㎡) has 5 (2.6%) zerosZeros

Reproduction

Analysis started2023-12-12 04:47:49.117044
Analysis finished2023-12-12 04:47:49.713393
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
신축
147 
증축
41 
대수선
 
2
용도변경
 
1

Length

Max length4
Median length2
Mean length2.0209424
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
신축 147
77.0%
증축 41
 
21.5%
대수선 2
 
1.0%
용도변경 1
 
0.5%

Length

2023-12-12T13:47:49.792469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:49.933950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 147
77.0%
증축 41
 
21.5%
대수선 2
 
1.0%
용도변경 1
 
0.5%

대지위치
Text

Distinct188
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T13:47:50.163997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length23.026178
Min length15

Characters and Unicode

Total characters4398
Distinct characters121
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

Unique185 ?
Unique (%)96.9%

Sample

1st row경기도 화성시 반송동 187-5
2nd row경기도 화성시 향남읍 향남2택지지구 323 2
3rd row경기도 화성시 향남읍 향남2택지개발사업지구 250 3
4th row경기도 화성시 향남읍 하길리 1443-6
5th row경기도 화성시 송산면 칠곡리 17-36
ValueCountFrequency (%)
경기도 191
18.9%
화성시 191
18.9%
향남읍 36
 
3.6%
외1필지 32
 
3.2%
남양읍 21
 
2.1%
동탄면 20
 
2.0%
팔탄면 17
 
1.7%
정남면 10
 
1.0%
양감면 10
 
1.0%
외3필지 10
 
1.0%
Other values (299) 472
46.7%
2023-12-12T13:47:50.560718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
18.6%
도 203
 
4.6%
화 196
 
4.5%
기 193
 
4.4%
시 192
 
4.4%
경 191
 
4.3%
성 191
 
4.3%
1 175
 
4.0%
- 157
 
3.6%
리 145
 
3.3%
Other values (111) 1936
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2512
57.1%
Decimal Number 907
 
20.6%
Space Separator 819
 
18.6%
Dash Punctuation 157
 
3.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 203
 
8.1%
화 196
 
7.8%
기 193
 
7.7%
시 192
 
7.6%
경 191
 
7.6%
성 191
 
7.6%
리 145
 
5.8%
지 100
 
4.0%
면 89
 
3.5%
남 86
 
3.4%
Other values (96) 926
36.9%
Decimal Number
ValueCountFrequency (%)
1 175
19.3%
2 118
13.0%
3 109
12.0%
4 95
10.5%
5 84
9.3%
0 76
8.4%
6 75
8.3%
7 71
7.8%
8 59
 
6.5%
9 45
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
B 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2512
57.1%
Common 1883
42.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 203
 
8.1%
화 196
 
7.8%
기 193
 
7.7%
시 192
 
7.6%
경 191
 
7.6%
성 191
 
7.6%
리 145
 
5.8%
지 100
 
4.0%
면 89
 
3.5%
남 86
 
3.4%
Other values (96) 926
36.9%
Common
ValueCountFrequency (%)
819
43.5%
1 175
 
9.3%
- 157
 
8.3%
2 118
 
6.3%
3 109
 
5.8%
4 95
 
5.0%
5 84
 
4.5%
0 76
 
4.0%
6 75
 
4.0%
7 71
 
3.8%
Other values (2) 104
 
5.5%
Latin
ValueCountFrequency (%)
L 1
33.3%
B 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2512
57.1%
ASCII 1886
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
819
43.4%
1 175
 
9.3%
- 157
 
8.3%
2 118
 
6.3%
3 109
 
5.8%
4 95
 
5.0%
5 84
 
4.5%
0 76
 
4.0%
6 75
 
4.0%
7 71
 
3.8%
Other values (5) 107
 
5.7%
Hangul
ValueCountFrequency (%)
도 203
 
8.1%
화 196
 
7.8%
기 193
 
7.7%
시 192
 
7.6%
경 191
 
7.6%
성 191
 
7.6%
리 145
 
5.8%
지 100
 
4.0%
면 89
 
3.5%
남 86
 
3.4%
Other values (96) 926
36.9%

지목
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대
78 
임야
32 
공장용지
29 
전
24 
답
14 
Other values (5)
14 

Length

Max length4
Median length1
Mean length1.7958115
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
대 78
40.8%
임야 32
16.8%
공장용지 29
 
15.2%
전 24
 
12.6%
답 14
 
7.3%
잡종지 5
 
2.6%
목장용지 5
 
2.6%
창고용지 2
 
1.0%
염전 1
 
0.5%
도로 1
 
0.5%

Length

2023-12-12T13:47:50.796597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:50.963254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 78
40.8%
임야 32
16.8%
공장용지 29
 
15.2%
전 24
 
12.6%
답 14
 
7.3%
잡종지 5
 
2.6%
목장용지 5
 
2.6%
창고용지 2
 
1.0%
염전 1
 
0.5%
도로 1
 
0.5%

대지면적(㎡)
Real number (ℝ)

Distinct179
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2470.0681
Minimum220.1
Maximum26961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:51.133674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum220.1
5-th percentile241.05
Q1326
median924
Q32599.35
95-th percentile9288.5
Maximum26961
Range26740.9
Interquartile range (IQR)2273.35

Descriptive statistics

Standard deviation4251.0692
Coefficient of variation (CV)1.7210332
Kurtosis14.328595
Mean2470.0681
Median Absolute Deviation (MAD)659
Skewness3.5319259
Sum471783
Variance18071589
MonotonicityNot monotonic
2023-12-12T13:47:51.319293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1990.0 2
 
1.0%
265.0 2
 
1.0%
1330.0 2
 
1.0%
2038.0 2
 
1.0%
265.1 2
 
1.0%
254.0 2
 
1.0%
260.0 2
 
1.0%
326.0 2
 
1.0%
262.0 2
 
1.0%
324.0 2
 
1.0%
Other values (169) 171
89.5%
ValueCountFrequency (%)
220.1 1
0.5%
221.9 1
0.5%
228.9 1
0.5%
229.0 1
0.5%
234.1 1
0.5%
238.0 2
1.0%
238.8 1
0.5%
239.0 1
0.5%
240.1 1
0.5%
242.0 1
0.5%
ValueCountFrequency (%)
26961.0 1
0.5%
25396.0 1
0.5%
21781.0 1
0.5%
21337.0 1
0.5%
18800.0 1
0.5%
17037.0 1
0.5%
10713.0 1
0.5%
9998.0 1
0.5%
9917.0 1
0.5%
9418.0 1
0.5%

건축면적(㎡)
Real number (ℝ)

Distinct179
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean764.61041
Minimum66.4
Maximum9894.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:51.871606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.4
5-th percentile127.84
Q1158.3
median274.76
Q3682.9
95-th percentile3441.305
Maximum9894.1
Range9827.7
Interquartile range (IQR)524.6

Descriptive statistics

Standard deviation1311.0077
Coefficient of variation (CV)1.7146088
Kurtosis16.608059
Mean764.61041
Median Absolute Deviation (MAD)128.93
Skewness3.682566
Sum146040.59
Variance1718741.2
MonotonicityNot monotonic
2023-12-12T13:47:52.065040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 4
 
2.1%
330.0 2
 
1.0%
158.92 2
 
1.0%
264.0 2
 
1.0%
494.4 2
 
1.0%
480.0 2
 
1.0%
158.4 2
 
1.0%
177.92 2
 
1.0%
170.82 2
 
1.0%
492.96 2
 
1.0%
Other values (169) 169
88.5%
ValueCountFrequency (%)
66.4 1
0.5%
93.14 1
0.5%
95.82 1
0.5%
100.65 1
0.5%
103.02 1
0.5%
103.71 1
0.5%
105.3 1
0.5%
119.78 1
0.5%
126.42 1
0.5%
127.4 1
0.5%
ValueCountFrequency (%)
9894.1 1
0.5%
6618.95 1
0.5%
5846.82 1
0.5%
5640.0 1
0.5%
5529.25 1
0.5%
4612.9 1
0.5%
4235.97 1
0.5%
4140.3 1
0.5%
3782.39 1
0.5%
3497.5 1
0.5%

연면적(㎡)
Real number (ℝ)

Distinct179
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1316.8945
Minimum142.74
Maximum23344.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:52.225714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142.74
5-th percentile190.605
Q1382.56
median491.92
Q31057.48
95-th percentile4568.125
Maximum23344.24
Range23201.5
Interquartile range (IQR)674.92

Descriptive statistics

Standard deviation2585.8613
Coefficient of variation (CV)1.9636055
Kurtosis34.527717
Mean1316.8945
Median Absolute Deviation (MAD)177.04
Skewness5.2363908
Sum251526.85
Variance6686678.4
MonotonicityNot monotonic
2023-12-12T13:47:52.409059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
396.0 4
 
2.1%
330.0 2
 
1.0%
492.96 2
 
1.0%
494.4 2
 
1.0%
475.53 2
 
1.0%
264.0 2
 
1.0%
480.0 2
 
1.0%
580.55 2
 
1.0%
1326.54 2
 
1.0%
599.48 2
 
1.0%
Other values (169) 169
88.5%
ValueCountFrequency (%)
142.74 1
0.5%
146.0 1
0.5%
147.53 1
0.5%
148.0 1
0.5%
156.14 1
0.5%
167.34 1
0.5%
168.15 1
0.5%
171.78 1
0.5%
176.5 1
0.5%
187.17 1
0.5%
ValueCountFrequency (%)
23344.24 1
0.5%
15924.81 1
0.5%
12358.88 1
0.5%
9605.09 1
0.5%
9514.85 1
0.5%
6953.9 1
0.5%
6921.88 1
0.5%
6628.41 1
0.5%
6592.94 1
0.5%
4664.6 1
0.5%

증축연면적(㎡)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing150
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean756.05
Minimum29.22
Maximum3429.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:52.583143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.22
5-th percentile111.2
Q1171
median397.8
Q3632.4
95-th percentile3026.19
Maximum3429.6
Range3400.38
Interquartile range (IQR)461.4

Descriptive statistics

Standard deviation932.02438
Coefficient of variation (CV)1.2327549
Kurtosis2.1823142
Mean756.05
Median Absolute Deviation (MAD)234.6
Skewness1.8022795
Sum30998.05
Variance868669.44
MonotonicityNot monotonic
2023-12-12T13:47:52.811292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
492.0 2
 
1.0%
556.95 1
 
0.5%
201.85 1
 
0.5%
3026.19 1
 
0.5%
177.94 1
 
0.5%
278.52 1
 
0.5%
483.72 1
 
0.5%
136.0 1
 
0.5%
1070.69 1
 
0.5%
494.52 1
 
0.5%
Other values (30) 30
 
15.7%
(Missing) 150
78.5%
ValueCountFrequency (%)
29.22 1
0.5%
99.0 1
0.5%
111.2 1
0.5%
118.55 1
0.5%
120.45 1
0.5%
129.0 1
0.5%
136.0 1
0.5%
137.0 1
0.5%
142.5 1
0.5%
156.11 1
0.5%
ValueCountFrequency (%)
3429.6 1
0.5%
3239.4 1
0.5%
3026.19 1
0.5%
2717.36 1
0.5%
2247.2 1
0.5%
1998.72 1
0.5%
1549.83 1
0.5%
1347.5 1
0.5%
1150.11 1
0.5%
1070.69 1
0.5%

건폐율(%)
Real number (ℝ)

Distinct175
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.48542
Minimum6.67
Maximum69.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:52.974570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.67
5-th percentile15.7
Q125.285
median38.2783
Q357.335
95-th percentile60.619
Maximum69.94
Range63.27
Interquartile range (IQR)32.05

Descriptive statistics

Standard deviation16.322393
Coefficient of variation (CV)0.41337773
Kurtosis-1.149019
Mean39.48542
Median Absolute Deviation (MAD)17.3083
Skewness-0.015272132
Sum7541.7152
Variance266.42052
MonotonicityNot monotonic
2023-12-12T13:47:53.148225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.9 3
 
1.6%
37.93 2
 
1.0%
59.8 2
 
1.0%
19.91 2
 
1.0%
36.09 2
 
1.0%
39.88 2
 
1.0%
39.9 2
 
1.0%
39.52 2
 
1.0%
32.9 2
 
1.0%
39.69 2
 
1.0%
Other values (165) 170
89.0%
ValueCountFrequency (%)
6.67 1
0.5%
9.79 1
0.5%
9.98 1
0.5%
10.32 1
0.5%
10.36 2
1.0%
10.39 1
0.5%
10.9 1
0.5%
14.97 1
0.5%
15.56 1
0.5%
15.84 1
0.5%
ValueCountFrequency (%)
69.94 1
0.5%
69.9397 1
0.5%
68.0774 1
0.5%
68.04 1
0.5%
66.7423 1
0.5%
66.48 1
0.5%
63.04 1
0.5%
62.6126 1
0.5%
61.49 1
0.5%
61.27 1
0.5%

용적률(%)
Real number (ℝ)

Distinct185
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.406425
Minimum9.33
Maximum396.5876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:53.317463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.33
5-th percentile19.5449
Q134.495
median56.8802
Q3141.1359
95-th percentile179.945
Maximum396.5876
Range387.2576
Interquartile range (IQR)106.6409

Descriptive statistics

Standard deviation67.525983
Coefficient of variation (CV)0.80000999
Kurtosis3.0616227
Mean84.406425
Median Absolute Deviation (MAD)31.8202
Skewness1.4427438
Sum16121.627
Variance4559.7584
MonotonicityNot monotonic
2023-12-12T13:47:53.515580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.9 2
 
1.0%
14.97 2
 
1.0%
148.9 2
 
1.0%
36.09 2
 
1.0%
39.94 2
 
1.0%
179.79 2
 
1.0%
33.36 1
 
0.5%
285.05 1
 
0.5%
117.69 1
 
0.5%
37.47 1
 
0.5%
Other values (175) 175
91.6%
ValueCountFrequency (%)
9.33 1
0.5%
9.98 1
0.5%
12.95 1
0.5%
14.97 2
1.0%
16.8 1
0.5%
16.95 1
0.5%
18.68 1
0.5%
19.22 1
0.5%
19.47 1
0.5%
19.6198 1
0.5%
ValueCountFrequency (%)
396.5876 1
0.5%
386.92 1
0.5%
285.05 1
0.5%
209.5973 1
0.5%
201.85 1
0.5%
201.17 1
0.5%
200.48 1
0.5%
184.64 1
0.5%
184.54 1
0.5%
179.98 1
0.5%

구조
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반철골구조
102 
철근콘크리트구조
83 
경량철골구조
 
3
기타조적구조
 
1
일반목구조
 
1

Length

Max length10
Median length6
Mean length6.8848168
Min length5

Unique

Unique3 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반철골구조 102
53.4%
철근콘크리트구조 83
43.5%
경량철골구조 3
 
1.6%
기타조적구조 1
 
0.5%
일반목구조 1
 
0.5%
철골철근콘크리트구조 1
 
0.5%

Length

2023-12-12T13:47:53.684726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:53.860907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반철골구조 102
53.4%
철근콘크리트구조 83
43.5%
경량철골구조 3
 
1.6%
기타조적구조 1
 
0.5%
일반목구조 1
 
0.5%
철골철근콘크리트구조 1
 
0.5%

취소구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

철거멸실구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

허가취소일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

허가일
Date

Distinct69
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2012-07-05 00:00:00
Maximum2015-08-27 00:00:00
2023-12-12T13:47:54.072970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:54.316320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종설계변경일
Date

MISSING 

Distinct15
Distinct (%)75.0%
Missing171
Missing (%)89.5%
Memory size1.6 KiB
Minimum2015-06-19 00:00:00
Maximum2015-09-15 00:00:00
2023-12-12T13:47:54.471262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:54.608288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

착공처리일
Categorical

Distinct20
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2015-08-11
19 
2015-08-17
15 
2015-08-28
15 
2015-08-24
13 
2015-08-18
12 
Other values (15)
117 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-08-31
2nd row2015-08-28
3rd row2015-08-28
4th row2015-08-28
5th row2015-08-31

Common Values

ValueCountFrequency (%)
2015-08-11 19
 
9.9%
2015-08-17 15
 
7.9%
2015-08-28 15
 
7.9%
2015-08-24 13
 
6.8%
2015-08-18 12
 
6.3%
2015-08-21 11
 
5.8%
2015-08-10 11
 
5.8%
2015-08-05 10
 
5.2%
2015-08-27 10
 
5.2%
2015-08-07 10
 
5.2%
Other values (10) 65
34.0%

Length

2023-12-12T13:47:54.827120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-11 19
 
9.9%
2015-08-28 15
 
7.9%
2015-08-17 15
 
7.9%
2015-08-24 13
 
6.8%
2015-08-18 12
 
6.3%
2015-08-21 11
 
5.8%
2015-08-10 11
 
5.8%
2015-08-05 10
 
5.2%
2015-08-27 10
 
5.2%
2015-08-07 10
 
5.2%
Other values (10) 65
34.0%

착공예정일
Categorical

Distinct32
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2015-08-10
24 
2015-08-26
13 
2015-08-20
 
12
2015-08-13
 
11
2015-08-14
 
9
Other values (27)
122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row2015-08-31
2nd row2015-08-31
3rd row2015-08-31
4th row2015-08-31
5th row2015-09-01

Common Values

ValueCountFrequency (%)
2015-08-10 24
 
12.6%
2015-08-26 13
 
6.8%
2015-08-20 12
 
6.3%
2015-08-13 11
 
5.8%
2015-08-14 9
 
4.7%
2015-08-25 9
 
4.7%
2015-08-24 9
 
4.7%
2015-08-07 8
 
4.2%
2015-08-12 8
 
4.2%
2015-08-28 7
 
3.7%
Other values (22) 81
42.4%

Length

2023-12-12T13:47:54.998178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2015-08-10 24
 
12.6%
2015-08-26 13
 
6.8%
2015-08-20 12
 
6.3%
2015-08-13 11
 
5.8%
2015-08-14 9
 
4.7%
2015-08-25 9
 
4.7%
2015-08-24 9
 
4.7%
2015-08-07 8
 
4.2%
2015-08-12 8
 
4.2%
2015-08-28 7
 
3.7%
Other values (22) 81
42.4%

실제착공일
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing187
Missing (%)97.9%
Memory size1.6 KiB
Minimum2015-07-30 00:00:00
Maximum2015-08-18 00:00:00
2023-12-12T13:47:55.090570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:55.238801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

착공연기일
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing188
Missing (%)98.4%
Memory size1.6 KiB
Minimum2014-07-05 00:00:00
Maximum2015-07-28 00:00:00
2023-12-12T13:47:55.362542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:55.455344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

착공연기사유
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing188
Missing (%)98.4%
Memory size1.6 KiB
2023-12-12T13:47:55.647474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length27.333333
Min length12

Characters and Unicode

Total characters82
Distinct characters36
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

Unique3 ?
Unique (%)100.0%

Sample

1st row자금사정으로 인한 연기
2nd row자금부족으로 인한 착공연기를 신청하오니 선처하여 주시기 바랍니다.
3rd row개인적인 사유로 인하여 착공 연기 신청하오니 선처부탁드립니다.
ValueCountFrequency (%)
인한 2
11.8%
연기 2
11.8%
신청하오니 2
11.8%
자금사정으로 1
 
5.9%
자금부족으로 1
 
5.9%
착공연기를 1
 
5.9%
선처하여 1
 
5.9%
주시기 1
 
5.9%
바랍니다 1
 
5.9%
개인적인 1
 
5.9%
Other values (4) 4
23.5%
2023-12-12T13:47:55.966546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
17.1%
인 5
 
6.1%
하 4
 
4.9%
기 4
 
4.9%
니 4
 
4.9%
로 3
 
3.7%
연 3
 
3.7%
신 2
 
2.4%
. 2
 
2.4%
다 2
 
2.4%
Other values (26) 39
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
80.5%
Space Separator 14
 
17.1%
Other Punctuation 2
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5
 
7.6%
하 4
 
6.1%
기 4
 
6.1%
니 4
 
6.1%
로 3
 
4.5%
연 3
 
4.5%
신 2
 
3.0%
다 2
 
3.0%
여 2
 
3.0%
처 2
 
3.0%
Other values (24) 35
53.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
80.5%
Common 16
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5
 
7.6%
하 4
 
6.1%
기 4
 
6.1%
니 4
 
6.1%
로 3
 
4.5%
연 3
 
4.5%
신 2
 
3.0%
다 2
 
3.0%
여 2
 
3.0%
처 2
 
3.0%
Other values (24) 35
53.0%
Common
ValueCountFrequency (%)
14
87.5%
. 2
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
80.5%
ASCII 16
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
87.5%
. 2
 
12.5%
Hangul
ValueCountFrequency (%)
인 5
 
7.6%
하 4
 
6.1%
기 4
 
6.1%
니 4
 
6.1%
로 3
 
4.5%
연 3
 
4.5%
신 2
 
3.0%
다 2
 
3.0%
여 2
 
3.0%
처 2
 
3.0%
Other values (24) 35
53.0%

임시사용승인기간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

사용승인일
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing187
Missing (%)97.9%
Memory size1.6 KiB
Minimum2015-08-06 00:00:00
Maximum2015-09-09 00:00:00
2023-12-12T13:47:56.101517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:56.194437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

건축허가최초접수일
Date

Distinct81
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2012-05-25 00:00:00
Maximum2015-08-17 00:00:00
2023-12-12T13:47:56.338664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:47:56.482732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4450262
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:56.581394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3001473
Coefficient of variation (CV)0.5317519
Kurtosis0.78860077
Mean2.4450262
Median Absolute Deviation (MAD)1
Skewness0.86973743
Sum467
Variance1.690383
MonotonicityNot monotonic
2023-12-12T13:47:56.682546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 56
29.3%
1 54
28.3%
3 39
20.4%
4 32
16.8%
5 7
 
3.7%
7 3
 
1.6%
ValueCountFrequency (%)
1 54
28.3%
2 56
29.3%
3 39
20.4%
4 32
16.8%
5 7
 
3.7%
7 3
 
1.6%
ValueCountFrequency (%)
7 3
 
1.6%
5 7
 
3.7%
4 32
16.8%
3 39
20.4%
2 56
29.3%
1 54
28.3%

최대지하층수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
138 
<NA>
39 
1
 
11
2
 
3

Length

Max length4
Median length1
Mean length1.6125654
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 138
72.3%
<NA> 39
 
20.4%
1 11
 
5.8%
2 3
 
1.6%

Length

2023-12-12T13:47:56.797580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:56.933319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 138
72.3%
na 39
 
20.4%
1 11
 
5.8%
2 3
 
1.6%

최고높이(m)
Real number (ℝ)

Distinct119
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.949644
Minimum5
Maximum32.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:57.059185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.55
Q19.2
median11.2
Q314
95-th percentile17.85
Maximum32.15
Range27.15
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation4.0669209
Coefficient of variation (CV)0.34033825
Kurtosis6.968928
Mean11.949644
Median Absolute Deviation (MAD)2.3
Skewness1.9818543
Sum2282.382
Variance16.539845
MonotonicityNot monotonic
2023-12-12T13:47:57.263687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 7
 
3.7%
8.0 6
 
3.1%
9.9 5
 
2.6%
9.2 5
 
2.6%
9.7 5
 
2.6%
10.2 4
 
2.1%
10.0 4
 
2.1%
8.6 4
 
2.1%
11.0 3
 
1.6%
11.2 3
 
1.6%
Other values (109) 145
75.9%
ValueCountFrequency (%)
5.0 1
0.5%
5.45 1
0.5%
5.6 1
0.5%
5.9 1
0.5%
6.1 1
0.5%
6.2 1
0.5%
6.4 1
0.5%
7.1 1
0.5%
7.4 2
1.0%
7.7 1
0.5%
ValueCountFrequency (%)
32.15 1
0.5%
30.9 1
0.5%
30.56 1
0.5%
26.35 1
0.5%
20.65 1
0.5%
19.8 2
1.0%
19.15 1
0.5%
19.0 1
0.5%
18.3 1
0.5%
17.4 1
0.5%

동수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4816754
Minimum0
Maximum10
Zeros15
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:57.377363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4.5
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.435794
Coefficient of variation (CV)0.96903415
Kurtosis10.95387
Mean1.4816754
Median Absolute Deviation (MAD)0
Skewness3.0236919
Sum283
Variance2.0615045
MonotonicityNot monotonic
2023-12-12T13:47:57.501023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 131
68.6%
2 23
 
12.0%
0 15
 
7.9%
3 7
 
3.7%
4 5
 
2.6%
5 3
 
1.6%
6 3
 
1.6%
7 2
 
1.0%
10 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 15
 
7.9%
1 131
68.6%
2 23
 
12.0%
3 7
 
3.7%
4 5
 
2.6%
5 3
 
1.6%
6 3
 
1.6%
7 2
 
1.0%
8 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
8 1
 
0.5%
7 2
 
1.0%
6 3
 
1.6%
5 3
 
1.6%
4 5
 
2.6%
3 7
 
3.7%
2 23
 
12.0%
1 131
68.6%
0 15
 
7.9%

승강기합
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
158 
1
23 
0
 
7
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.4816754
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 158
82.7%
1 23
 
12.0%
0 7
 
3.7%
2 2
 
1.0%
3 1
 
0.5%

Length

2023-12-12T13:47:57.623626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:57.754581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 158
82.7%
1 23
 
12.0%
0 7
 
3.7%
2 2
 
1.0%
3 1
 
0.5%

비상승강기합
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
190 
2
 
1

Length

Max length4
Median length4
Mean length3.9842932
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
99.5%
2 1
 
0.5%

Length

2023-12-12T13:47:58.192246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:58.300189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
99.5%
2 1
 
0.5%

하수처리시설명
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
기타오수처리시설
83 
하수종말처리장연결
81 
<NA>
9 
접촉산화방법
9 
혐기및호기성미생물조정방법
 
2
Other values (5)
 
7

Length

Max length13
Median length9
Mean length8.1727749
Min length4

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row하수종말처리장연결
2nd row하수종말처리장연결
3rd row하수종말처리장연결
4th row하수종말처리장연결
5th row기타오수처리시설

Common Values

ValueCountFrequency (%)
기타오수처리시설 83
43.5%
하수종말처리장연결 81
42.4%
<NA> 9
 
4.7%
접촉산화방법 9
 
4.7%
혐기및호기성미생물조정방법 2
 
1.0%
현수미생물접촉방법 2
 
1.0%
접촉폭기방법 2
 
1.0%
기타단독정화조 1
 
0.5%
부패탱크방법 1
 
0.5%
혐기성접촉폭기방법 1
 
0.5%

Length

2023-12-12T13:47:58.424573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:47:58.568766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타오수처리시설 83
43.5%
하수종말처리장연결 81
42.4%
na 9
 
4.7%
접촉산화방법 9
 
4.7%
혐기및호기성미생물조정방법 2
 
1.0%
현수미생물접촉방법 2
 
1.0%
접촉폭기방법 2
 
1.0%
기타단독정화조 1
 
0.5%
부패탱크방법 1
 
0.5%
혐기성접촉폭기방법 1
 
0.5%

하수처리시설용량(㎥)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)34.7%
Missing73
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean11.577305
Minimum1.32
Maximum110.362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:47:58.746108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.32
5-th percentile2
Q13
median6
Q312.805
95-th percentile40
Maximum110.362
Range109.042
Interquartile range (IQR)9.805

Descriptive statistics

Standard deviation15.698018
Coefficient of variation (CV)1.3559302
Kurtosis17.811947
Mean11.577305
Median Absolute Deviation (MAD)4
Skewness3.7202464
Sum1366.122
Variance246.42776
MonotonicityNot monotonic
2023-12-12T13:47:58.898276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2.0 16
 
8.4%
3.0 16
 
8.4%
4.0 13
 
6.8%
8.0 8
 
4.2%
6.0 8
 
4.2%
10.0 6
 
3.1%
40.0 4
 
2.1%
20.0 4
 
2.1%
1.32 3
 
1.6%
12.0 3
 
1.6%
Other values (31) 37
19.4%
(Missing) 73
38.2%
ValueCountFrequency (%)
1.32 3
 
1.6%
2.0 16
8.4%
3.0 16
8.4%
3.675 1
 
0.5%
4.0 13
6.8%
4.56 1
 
0.5%
5.0 2
 
1.0%
6.0 8
4.2%
6.1 1
 
0.5%
6.195 1
 
0.5%
ValueCountFrequency (%)
110.362 1
 
0.5%
90.0 1
 
0.5%
50.0 1
 
0.5%
45.0 2
1.0%
40.0 4
2.1%
30.0 1
 
0.5%
29.26 1
 
0.5%
28.42 1
 
0.5%
25.0 1
 
0.5%
20.0 4
2.1%

주용도
Categorical

Distinct14
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
단독주택
59 
제2종근린생활시설
54 
공장
39 
제1종근린생활시설
16 
공동주택
7 
Other values (9)
16 

Length

Max length10
Median length9
Mean length5.6335079
Min length2

Unique

Unique6 ?
Unique (%)3.1%

Sample

1st row단독주택
2nd row단독주택
3rd row단독주택
4th row단독주택
5th row공장

Common Values

ValueCountFrequency (%)
단독주택 59
30.9%
제2종근린생활시설 54
28.3%
공장 39
20.4%
제1종근린생활시설 16
 
8.4%
공동주택 7
 
3.7%
자원순환관련시설 5
 
2.6%
창고시설 3
 
1.6%
동.식물관련시설 2
 
1.0%
교육연구시설 1
 
0.5%
자동차관련시설 1
 
0.5%
Other values (4) 4
 
2.1%

Length

2023-12-12T13:47:59.064155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 59
30.9%
제2종근린생활시설 54
28.3%
공장 39
20.4%
제1종근린생활시설 16
 
8.4%
공동주택 7
 
3.7%
자원순환관련시설 5
 
2.6%
창고시설 3
 
1.6%
동.식물관련시설 2
 
1.0%
교육연구시설 1
 
0.5%
자동차관련시설 1
 
0.5%
Other values (4) 4
 
2.1%

부속용도
Text

MISSING 

Distinct70
Distinct (%)56.5%
Missing67
Missing (%)35.1%
Memory size1.6 KiB
2023-12-12T13:47:59.280711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length8.6854839
Min length2

Characters and Unicode

Total characters1077
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)44.4%

Sample

1st row다가구주택
2nd row다가구주택및제2종근생
3rd row다가구주택(5가구)
4th row다가구주택
5th row다가구주택(5가구)
ValueCountFrequency (%)
다가구주택 29
19.0%
제조업소 18
 
11.8%
및 7
 
4.6%
근린생활시설 6
 
3.9%
제조업소,사무소 5
 
3.3%
소매점 4
 
2.6%
제2종근린생활시설-제조업소 4
 
2.6%
일반음식점 4
 
2.6%
다세대주택 3
 
2.0%
다가구주택(5가구 3
 
2.0%
Other values (58) 70
45.8%
2023-12-12T13:47:59.627472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 61
 
5.7%
주 60
 
5.6%
택 60
 
5.6%
가 59
 
5.5%
다 57
 
5.3%
제 55
 
5.1%
소 52
 
4.8%
시 42
 
3.9%
생 38
 
3.5%
설 36
 
3.3%
Other values (75) 557
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 926
86.0%
Decimal Number 38
 
3.5%
Space Separator 29
 
2.7%
Close Punctuation 26
 
2.4%
Open Punctuation 26
 
2.4%
Other Punctuation 26
 
2.4%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 61
 
6.6%
주 60
 
6.5%
택 60
 
6.5%
가 59
 
6.4%
다 57
 
6.2%
제 55
 
5.9%
소 52
 
5.6%
시 42
 
4.5%
생 38
 
4.1%
설 36
 
3.9%
Other values (65) 406
43.8%
Decimal Number
ValueCountFrequency (%)
2 22
57.9%
1 9
23.7%
5 6
 
15.8%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
/ 1
 
3.8%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 926
86.0%
Common 151
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 61
 
6.6%
주 60
 
6.5%
택 60
 
6.5%
가 59
 
6.4%
다 57
 
6.2%
제 55
 
5.9%
소 52
 
5.6%
시 42
 
4.5%
생 38
 
4.1%
설 36
 
3.9%
Other values (65) 406
43.8%
Common
ValueCountFrequency (%)
29
19.2%
) 26
17.2%
( 26
17.2%
, 25
16.6%
2 22
14.6%
1 9
 
6.0%
- 6
 
4.0%
5 6
 
4.0%
9 1
 
0.7%
/ 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 926
86.0%
ASCII 151
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 61
 
6.6%
주 60
 
6.5%
택 60
 
6.5%
가 59
 
6.4%
다 57
 
6.2%
제 55
 
5.9%
소 52
 
5.6%
시 42
 
4.5%
생 38
 
4.1%
설 36
 
3.9%
Other values (65) 406
43.8%
ASCII
ValueCountFrequency (%)
29
19.2%
) 26
17.2%
( 26
17.2%
, 25
16.6%
2 22
14.6%
1 9
 
6.0%
- 6
 
4.0%
5 6
 
4.0%
9 1
 
0.7%
/ 1
 
0.7%

용도지역
Categorical

Distinct16
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
계획관리지역
73 
제1종일반주거지역
33 
자연녹지지역
32 
제2종일반주거지역
17 
<NA>
8 
Other values (11)
28 

Length

Max length9
Median length6
Mean length6.6544503
Min length4

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
계획관리지역 73
38.2%
제1종일반주거지역 33
17.3%
자연녹지지역 32
16.8%
제2종일반주거지역 17
 
8.9%
<NA> 8
 
4.2%
일반공업지역 7
 
3.7%
생산녹지지역 5
 
2.6%
준공업지역 4
 
2.1%
생산관리지역 2
 
1.0%
준주거지역 2
 
1.0%
Other values (6) 8
 
4.2%

Length

2023-12-12T13:47:59.818658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계획관리지역 73
38.2%
제1종일반주거지역 33
17.3%
자연녹지지역 32
16.8%
제2종일반주거지역 17
 
8.9%
na 8
 
4.2%
일반공업지역 7
 
3.7%
생산녹지지역 5
 
2.6%
준공업지역 4
 
2.1%
생산관리지역 2
 
1.0%
준주거지역 2
 
1.0%
Other values (6) 8
 
4.2%

용도지구
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
169 
기타지구
 
7
자연취락지구
 
7
비행안전제6구역(전술)
 
4
비행안전제3구역(전술)
 
1
Other values (3)
 
3

Length

Max length12
Median length4
Mean length4.3769634
Min length4

Unique

Unique4 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 169
88.5%
기타지구 7
 
3.7%
자연취락지구 7
 
3.7%
비행안전제6구역(전술) 4
 
2.1%
비행안전제3구역(전술) 1
 
0.5%
비행안전제2구역(전술) 1
 
0.5%
집단취락지구 1
 
0.5%
비행안전제5구역(전술) 1
 
0.5%

Length

2023-12-12T13:48:00.017323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:00.172033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 169
88.5%
기타지구 7
 
3.7%
자연취락지구 7
 
3.7%
비행안전제6구역(전술 4
 
2.1%
비행안전제3구역(전술 1
 
0.5%
비행안전제2구역(전술 1
 
0.5%
집단취락지구 1
 
0.5%
비행안전제5구역(전술 1
 
0.5%

용도구역
Categorical

IMBALANCE 

Distinct11
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
132 
제1종지구단위계획구역
33 
지구단위계획구역
 
7
기타
 
7
상대정화구역
 
3
Other values (6)
 
9

Length

Max length17
Median length4
Mean length5.617801
Min length2

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row제1종지구단위계획구역
3rd row제1종지구단위계획구역
4th row지구단위계획구역
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 132
69.1%
제1종지구단위계획구역 33
 
17.3%
지구단위계획구역 7
 
3.7%
기타 7
 
3.7%
상대정화구역 3
 
1.6%
전술항공작전기지의비행안전제6구역 3
 
1.6%
현상변경허가 대상구역 2
 
1.0%
접도구역 1
 
0.5%
개발제한구역 1
 
0.5%
농업진흥구역 1
 
0.5%

Length

2023-12-12T13:48:00.359931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 132
68.4%
제1종지구단위계획구역 33
 
17.1%
지구단위계획구역 7
 
3.6%
기타 7
 
3.6%
상대정화구역 3
 
1.6%
전술항공작전기지의비행안전제6구역 3
 
1.6%
현상변경허가 2
 
1.0%
대상구역 2
 
1.0%
접도구역 1
 
0.5%
개발제한구역 1
 
0.5%
Other values (2) 2
 
1.0%

자주식옥내주차장(대)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)60.9%
Missing168
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean17.086957
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:00.480121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q13.5
median6
Q311.5
95-th percentile45.1
Maximum165
Range164
Interquartile range (IQR)8

Descriptive statistics

Standard deviation34.305993
Coefficient of variation (CV)2.0077299
Kurtosis17.24679
Mean17.086957
Median Absolute Deviation (MAD)4
Skewness3.989375
Sum393
Variance1176.9012
MonotonicityNot monotonic
2023-12-12T13:48:00.604435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 3
 
1.6%
11 3
 
1.6%
2 3
 
1.6%
5 2
 
1.0%
4 2
 
1.0%
1 2
 
1.0%
30 1
 
0.5%
12 1
 
0.5%
3 1
 
0.5%
14 1
 
0.5%
Other values (4) 4
 
2.1%
(Missing) 168
88.0%
ValueCountFrequency (%)
1 2
1.0%
2 3
1.6%
3 1
 
0.5%
4 2
1.0%
5 2
1.0%
6 3
1.6%
9 1
 
0.5%
11 3
1.6%
12 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
165 1
 
0.5%
46 1
 
0.5%
37 1
 
0.5%
30 1
 
0.5%
14 1
 
0.5%
12 1
 
0.5%
11 3
1.6%
9 1
 
0.5%
6 3
1.6%
5 2
1.0%

자주식옥외주차장(대)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)14.0%
Missing20
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean6.4678363
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:00.785885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile16.5
Maximum53
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.7058241
Coefficient of variation (CV)1.0367956
Kurtosis19.002997
Mean6.4678363
Median Absolute Deviation (MAD)2
Skewness3.7487523
Sum1106
Variance44.968077
MonotonicityNot monotonic
2023-12-12T13:48:00.965757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 25
13.1%
4 23
12.0%
2 21
11.0%
5 20
10.5%
6 18
9.4%
1 12
6.3%
8 11
5.8%
7 10
 
5.2%
16 5
 
2.6%
9 5
 
2.6%
Other values (14) 21
11.0%
(Missing) 20
10.5%
ValueCountFrequency (%)
1 12
6.3%
2 21
11.0%
3 25
13.1%
4 23
12.0%
5 20
10.5%
6 18
9.4%
7 10
 
5.2%
8 11
5.8%
9 5
 
2.6%
10 4
 
2.1%
ValueCountFrequency (%)
53 1
 
0.5%
39 2
 
1.0%
27 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
17 1
 
0.5%
16 5
2.6%
15 1
 
0.5%

기계식옥내주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

기계식옥외주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

인근자주식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

인근기계식주차장(대)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing191
Missing (%)100.0%
Memory size1.8 KiB

총주차대수
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)15.6%
Missing5
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean8.0591398
Minimum0
Maximum177
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:01.112742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile19.75
Maximum177
Range177
Interquartile range (IQR)5

Descriptive statistics

Standard deviation15.065326
Coefficient of variation (CV)1.8693467
Kurtosis87.622725
Mean8.0591398
Median Absolute Deviation (MAD)2
Skewness8.3931762
Sum1499
Variance226.96405
MonotonicityNot monotonic
2023-12-12T13:48:01.249971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 25
13.1%
2 24
12.6%
3 23
12.0%
5 20
10.5%
6 19
9.9%
7 12
 
6.3%
1 11
 
5.8%
8 10
 
5.2%
9 7
 
3.7%
16 5
 
2.6%
Other values (19) 30
15.7%
(Missing) 5
 
2.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 11
5.8%
2 24
12.6%
3 23
12.0%
4 25
13.1%
5 20
10.5%
6 19
9.9%
7 12
6.3%
8 10
 
5.2%
9 7
 
3.7%
ValueCountFrequency (%)
177 1
0.5%
69 1
0.5%
53 1
0.5%
46 1
0.5%
39 1
0.5%
37 1
0.5%
27 1
0.5%
23 1
0.5%
21 1
0.5%
20 1
0.5%

총주차장면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)25.3%
Missing5
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean127.74591
Minimum0
Maximum4983.96
Zeros5
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:01.426661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.5
Q134.5
median57.5
Q392
95-th percentile227.125
Maximum4983.96
Range4983.96
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation412.49197
Coefficient of variation (CV)3.2290033
Kurtosis106.49725
Mean127.74591
Median Absolute Deviation (MAD)23
Skewness9.5837923
Sum23760.74
Variance170149.63
MonotonicityNot monotonic
2023-12-12T13:48:01.598602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
23.0 24
12.6%
46.0 24
12.6%
34.5 22
11.5%
69.0 18
 
9.4%
57.5 13
 
6.8%
11.5 11
 
5.8%
80.5 10
 
5.2%
92.0 8
 
4.2%
0.0 5
 
2.6%
58.0 5
 
2.6%
Other values (37) 46
24.1%
(Missing) 5
 
2.6%
ValueCountFrequency (%)
0.0 5
 
2.6%
11.5 11
5.8%
23.0 24
12.6%
34.5 22
11.5%
36.0 1
 
0.5%
46.0 24
12.6%
47.0 1
 
0.5%
57.5 13
6.8%
58.0 5
 
2.6%
58.5 1
 
0.5%
ValueCountFrequency (%)
4983.96 1
0.5%
1675.01 1
0.5%
1515.53 1
0.5%
1324.25 1
0.5%
813.5 1
0.5%
634.5 1
0.5%
621.96 1
0.5%
320.5 1
0.5%
246.5 1
0.5%
230.0 1
0.5%

세대수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing183
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:01.733780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.85
Q114.25
median16.5
Q317.25
95-th percentile21.9
Maximum24
Range23
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.5900358
Coefficient of variation (CV)0.43933572
Kurtosis3.311669
Mean15
Median Absolute Deviation (MAD)1.5
Skewness-1.3297588
Sum120
Variance43.428571
MonotonicityNot monotonic
2023-12-12T13:48:01.845263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
17 2
 
1.0%
1 1
 
0.5%
12 1
 
0.5%
18 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
24 1
 
0.5%
(Missing) 183
95.8%
ValueCountFrequency (%)
1 1
0.5%
12 1
0.5%
15 1
0.5%
16 1
0.5%
17 2
1.0%
18 1
0.5%
24 1
0.5%
ValueCountFrequency (%)
24 1
0.5%
18 1
0.5%
17 2
1.0%
16 1
0.5%
15 1
0.5%
12 1
0.5%
1 1
0.5%

호수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
19
 
2
2
 
1
34
 
1

Length

Max length4
Median length4
Mean length3.9528796
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
97.9%
19 2
 
1.0%
2 1
 
0.5%
34 1
 
0.5%

Length

2023-12-12T13:48:02.001004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:02.141402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
97.9%
19 2
 
1.0%
2 1
 
0.5%
34 1
 
0.5%

가구수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)16.9%
Missing126
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:02.258843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile12
Maximum19
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6185287
Coefficient of variation (CV)0.72370574
Kurtosis4.6721736
Mean5
Median Absolute Deviation (MAD)2
Skewness1.9332944
Sum325
Variance13.09375
MonotonicityNot monotonic
2023-12-12T13:48:02.393933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 32
 
16.8%
3 9
 
4.7%
1 9
 
4.7%
2 5
 
2.6%
12 2
 
1.0%
8 2
 
1.0%
9 2
 
1.0%
15 1
 
0.5%
19 1
 
0.5%
17 1
 
0.5%
(Missing) 126
66.0%
ValueCountFrequency (%)
1 9
 
4.7%
2 5
 
2.6%
3 9
 
4.7%
5 32
16.8%
8 2
 
1.0%
9 2
 
1.0%
10 1
 
0.5%
12 2
 
1.0%
15 1
 
0.5%
17 1
 
0.5%
ValueCountFrequency (%)
19 1
 
0.5%
17 1
 
0.5%
15 1
 
0.5%
12 2
 
1.0%
10 1
 
0.5%
9 2
 
1.0%
8 2
 
1.0%
5 32
16.8%
3 9
 
4.7%
2 5
 
2.6%

주건축물수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)5.1%
Missing15
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.5738636
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T13:48:02.529004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4.25
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.387783
Coefficient of variation (CV)0.88176824
Kurtosis12.696777
Mean1.5738636
Median Absolute Deviation (MAD)0
Skewness3.3421664
Sum277
Variance1.9259416
MonotonicityNot monotonic
2023-12-12T13:48:02.653069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 133
69.6%
2 22
 
11.5%
3 7
 
3.7%
4 5
 
2.6%
5 3
 
1.6%
6 2
 
1.0%
7 2
 
1.0%
10 1
 
0.5%
8 1
 
0.5%
(Missing) 15
 
7.9%
ValueCountFrequency (%)
1 133
69.6%
2 22
 
11.5%
3 7
 
3.7%
4 5
 
2.6%
5 3
 
1.6%
6 2
 
1.0%
7 2
 
1.0%
8 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
10 1
 
0.5%
8 1
 
0.5%
7 2
 
1.0%
6 2
 
1.0%
5 3
 
1.6%
4 5
 
2.6%
3 7
 
3.7%
2 22
 
11.5%
1 133
69.6%

부속건축물수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
188 
1
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.9528796
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 188
98.4%
1 2
 
1.0%
4 1
 
0.5%

Length

2023-12-12T13:48:02.802309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:48:02.960717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
98.4%
1 2
 
1.0%
4 1
 
0.5%

Sample

건축구분대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축허가최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(㎥)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(㎡)세대수호수가구수주건축물수부속건축물수
0신축경기도 화성시 반송동 187-5대252.695.82207.91<NA>37.9382.3철근콘크리트구조<NA><NA><NA>2015-08-27<NA>2015-08-312015-08-31<NA><NA><NA><NA><NA>2015-08-173010.151<NA><NA>하수종말처리장연결<NA>단독주택다가구주택제1종일반주거지역<NA><NA><NA>3<NA><NA><NA><NA>334.5<NA><NA>21<NA>
1신축경기도 화성시 향남읍 향남2택지지구 323 2대238.0141.96425.17<NA>59.65178.64철근콘크리트구조<NA><NA><NA>2015-08-27<NA>2015-08-282015-08-31<NA><NA><NA><NA><NA>2015-07-024013.561<NA><NA>하수종말처리장연결<NA>단독주택다가구주택및제2종근생제1종일반주거지역<NA>제1종지구단위계획구역<NA>6<NA><NA><NA><NA>669.0<NA><NA>51<NA>
2신축경기도 화성시 향남읍 향남2택지개발사업지구 250 3대266.0158.46384.36<NA>59.57144.5철근콘크리트구조<NA><NA><NA>2015-08-27<NA>2015-08-282015-08-31<NA><NA><NA><NA><NA>2015-07-313011.351<NA><NA>하수종말처리장연결<NA>단독주택다가구주택(5가구)제1종일반주거지역<NA>제1종지구단위계획구역<NA>5<NA><NA><NA><NA>558.0<NA><NA>51<NA>
3신축경기도 화성시 향남읍 하길리 1443-6대261.6155.4389.51<NA>59.4148.9철근콘크리트구조<NA><NA><NA>2015-08-27<NA>2015-08-282015-08-31<NA><NA><NA><NA><NA>2015-07-313012.051<NA><NA>하수종말처리장연결<NA>단독주택다가구주택제1종일반주거지역<NA>지구단위계획구역<NA>5<NA><NA><NA><NA>557.5<NA><NA>51<NA>
4신축경기도 화성시 송산면 칠곡리 17-36염전9998.03057.83057.8<NA>30.5830.58일반철골구조<NA><NA><NA>2015-08-26<NA>2015-08-312015-09-01<NA><NA><NA><NA><NA>2015-08-10109.43<NA><NA>기타오수처리시설16.0공장<NA>계획관리지역<NA><NA><NA>9<NA><NA><NA><NA>9108.5<NA><NA><NA>3<NA>
5신축경기도 화성시 향남읍 향남2택지개발사업지구 229 6대259.0154.94373.12<NA>59.82144.06철근콘크리트구조<NA><NA><NA>2015-08-25<NA>2015-08-272015-08-27<NA><NA><NA><NA><NA>2015-07-283011.151<NA><NA>하수종말처리장연결<NA>단독주택다가구주택(5가구)제1종일반주거지역<NA>제1종지구단위계획구역<NA>5<NA><NA><NA><NA>557.5<NA><NA>51<NA>
6증축경기도 화성시 팔탄면 덕우리 78-6잡종지3306.0523.69617.67120.4515.8418.68일반철골구조<NA><NA><NA>2015-08-24<NA>2015-08-272015-08-28<NA><NA><NA><NA><NA>2015-07-282<NA>16.12<NA><NA>기타오수처리시설6.0자원순환관련시설<NA>계획관리지역<NA><NA><NA>3<NA><NA><NA><NA>334.5<NA><NA><NA>2<NA>
7신축경기도 화성시 송산면 용포리 48-68임야755.0297.0297.0<NA>39.3439.34일반철골구조<NA><NA><NA>2015-08-24<NA>2015-08-252015-08-26<NA><NA><NA><NA><NA>2015-08-07109.51<NA><NA>기타오수처리시설2.0제2종근린생활시설제조업소계획관리지역<NA><NA><NA>2<NA><NA><NA><NA>223.0<NA><NA><NA>1<NA>
8신축경기도 화성시 향남읍 하길리 1457-2대265.0158.2475.37<NA>59.7179.38철근콘크리트구조<NA><NA><NA>2015-08-24<NA>2015-08-272015-08-28<NA><NA><NA><NA><NA>2015-08-014013.511<NA>하수종말처리장연결<NA>단독주택다가구주택 및 제2종근생(일반음식점)제1종일반주거지역<NA>지구단위계획구역<NA>6<NA><NA><NA><NA>669.0<NA><NA>51<NA>
9신축경기도 화성시 송산동 146-51대229.0135.5494.09<NA>59.17179.01철근콘크리트구조<NA><NA><NA>2015-08-21<NA>2015-08-282015-08-27<NA><NA><NA><NA><NA>2015-08-054115.411<NA>하수종말처리장연결<NA>단독주택다가구주택 및 제1,2종근린생할시설제1종일반주거지역<NA><NA>5<NA><NA><NA><NA><NA>584.16<NA><NA>51<NA>
건축구분대지위치지목대지면적(㎡)건축면적(㎡)연면적(㎡)증축연면적(㎡)건폐율(%)용적률(%)구조취소구분철거멸실구분허가취소일허가일최종설계변경일착공처리일착공예정일실제착공일착공연기일착공연기사유임시사용승인기간사용승인일건축허가최초접수일최대지상층수최대지하층수최고높이(m)동수승강기합비상승강기합하수처리시설명하수처리시설용량(㎥)주용도부속용도용도지역용도지구용도구역자주식옥내주차장(대)자주식옥외주차장(대)기계식옥내주차장(대)기계식옥외주차장(대)인근자주식주차장(대)인근기계식주차장(대)총주차대수총주차장면적(㎡)세대수호수가구수주건축물수부속건축물수
181신축경기도 화성시 동탄면 동탄2택지개발지구 전2대4378.0453.381326.54<NA>10.3620.31철근콘크리트구조<NA><NA><NA>2015-01-062015-06-192015-08-102015-08-10<NA><NA><NA><NA><NA>2014-11-202119.81<NA><NA>하수종말처리장연결<NA>제1종근린생활시설변전소자연녹지지역<NA>제1종지구단위계획구역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
182신축경기도 화성시 양감면 송산리 1002-9답3371.02001.252001.25<NA>59.3759.37일반철골구조<NA><NA><NA>2014-12-02<NA>2015-08-262015-08-22<NA><NA><NA><NA><NA>2014-10-08105.61<NA><NA><NA><NA>동.식물관련시설축사농림지역비행안전제5구역(전술)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>
183증축경기도 화성시 남양읍 신남리 1150-4 외1필지공장용지9917.03782.393864.131998.7238.140538.9647일반철골구조<NA><NA><NA>2014-11-10<NA>2015-08-112015-07-31<NA><NA><NA><NA><NA>2014-10-062<NA>11.774<NA><NA>기타오수처리시설<NA>공장<NA>계획관리지역<NA><NA><NA>20<NA><NA><NA><NA>20230.0<NA><NA><NA>4<NA>
184신축경기도 화성시 향남읍 상신리 712-12창고용지352.066.4199.2<NA>18.8656.59일반철골구조<NA><NA><NA>2014-10-17<NA>2015-08-272015-09-01<NA><NA><NA><NA><NA>2014-09-293012.61<NA><NA>기타오수처리시설2.0창고시설<NA>생산녹지지역<NA><NA><NA>1<NA><NA><NA><NA>111.5<NA><NA><NA>1<NA>
185증축경기도 화성시 향남읍 송곡리 339-1 외10필지공장용지8500.03221.144471.653239.437.952.61일반철골구조<NA><NA><NA>2014-09-172015-09-152015-08-102015-08-03<NA><NA><NA><NA><NA>2014-08-272<NA>12.27<NA><NA>접촉폭기방법10.0공장공장계획관리지역<NA><NA><NA>21<NA><NA><NA><NA>21246.5<NA><NA><NA>7<NA>
186신축경기도 화성시 남양읍 활초리 21목장용지1361.0528.0528.0<NA>38.838.8일반철골구조<NA><NA><NA>2014-08-222015-08-122015-08-172015-08-19<NA><NA><NA><NA><NA>2014-08-01109.62<NA><NA>현수미생물접촉방법2.0제2종근린생활시설제조업소,제1종근린생활시설-소매점계획관리지역<NA>소하천구역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>
187신축경기도 화성시 마도면 청원리 685-10목장용지3010.01120.01280.0<NA>37.24142.52일반철골구조<NA><NA><NA>2014-05-152015-07-062015-08-122015-08-10<NA><NA><NA><NA><NA>2014-04-142012.13<NA><NA>접촉산화방법8.0공장<NA>계획관리지역<NA><NA><NA>7<NA><NA><NA><NA>780.5<NA><NA><NA>3<NA>
188신축경기도 화성시 우정읍 조암리 산 106-3 외1필지임야531.0105.3142.74<NA>19.8326.88철근콘크리트구조<NA><NA><NA>2013-07-29<NA>2015-08-192015-08-20<NA>2015-07-28자금사정으로 인한 연기<NA><NA>2013-07-15108.551<NA><NA>하수종말처리장연결<NA>단독주택<NA>자연녹지지역자연취락지구<NA><NA>1<NA><NA><NA><NA>111.5<NA><NA>11<NA>
189신축경기도 화성시 서신면 매화리 918-5임야1170.0467.12934.24<NA>39.9279.85일반철골구조<NA><NA><NA>2013-03-07<NA>2015-08-252015-08-26<NA>2015-03-07자금부족으로 인한 착공연기를 신청하오니 선처하여 주시기 바랍니다.<NA><NA>2013-02-122013.41<NA><NA>기타오수처리시설5.0공장<NA>계획관리지역<NA><NA><NA>3<NA><NA><NA><NA>336.0<NA><NA><NA>1<NA>
190신축경기도 화성시 송산동 158-7답324.0157.24649.56<NA>48.53200.48철근콘크리트구조<NA><NA><NA>2012-07-05<NA>2015-08-242015-08-10<NA>2014-07-05개인적인 사유로 인하여 착공 연기 신청하오니 선처부탁드립니다.<NA><NA>2012-05-255016.411<NA>하수종말처리장연결<NA>공동주택다세대주택 도시형생활주택제2종일반주거지역<NA><NA><NA>8<NA><NA><NA><NA>892.024<NA><NA>1<NA>