Overview

Dataset statistics

Number of variables26
Number of observations145
Missing cells271
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory218.9 B

Variable types

Categorical9
Text6
Numeric8
DateTime3

Dataset

Description부산광역시중구_착공신고현황_20230722
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072710

Alerts

지목 is highly imbalanced (86.8%)Imbalance
구조 is highly imbalanced (58.7%)Imbalance
동수 is highly imbalanced (83.1%)Imbalance
용도지구 is highly imbalanced (65.3%)Imbalance
증축연면적(제곱미터) has 120 (82.8%) missing valuesMissing
사용승인일 has 70 (48.3%) missing valuesMissing
부속용도 has 31 (21.4%) missing valuesMissing
감리사무소명 has 12 (8.3%) missing valuesMissing
시공자사무소명 has 38 (26.2%) missing valuesMissing
최고높이(미터) has 4 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-10 16:35:59.410893
Analysis finished2023-12-10 16:36:00.345011
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
신축
82 
대수선
37 
증축
25 
용도변경
 
1

Length

Max length4
Median length2
Mean length2.2689655
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
신축 82
56.6%
대수선 37
25.5%
증축 25
 
17.2%
용도변경 1
 
0.7%

Length

2023-12-11T01:36:00.522810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:00.739446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 82
56.6%
대수선 37
25.5%
증축 25
 
17.2%
용도변경 1
 
0.7%

허가번호
Text

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:36:01.105161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length17.675862
Min length16

Characters and Unicode

Total characters2563
Distinct characters33
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

Unique143 ?
Unique (%)98.6%

Sample

1st row2022-재생건축과-대수선허가-8
2nd row2022-재생건축과-공용건축물-5
3rd row2022-재생건축과-증축허가-7
4th row2022-재생건축과-신축허가-15
5th row2022-재생건축과-대수선허가-7
ValueCountFrequency (%)
2020-재생건축과-대수선허가-2 2
 
1.4%
2022-재생건축과-공용건축물-5 1
 
0.7%
2020-재생건축과-증축허가-1 1
 
0.7%
2020-재생건축과-신축허가-3 1
 
0.7%
2020-재생건축과-신축허가-4 1
 
0.7%
2021-재생건축과-대수선허가-1 1
 
0.7%
2020-재생건축과-신축허가-2 1
 
0.7%
2020-재생건축과-신축허가-1 1
 
0.7%
2020-재생건축과-대수선허가-4 1
 
0.7%
2022-재생건축과-대수선허가-8 1
 
0.7%
Other values (134) 134
92.4%
2023-12-11T01:36:01.665691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 435
17.0%
2 291
11.4%
축 253
9.9%
0 195
 
7.6%
건 158
 
6.2%
과 145
 
5.7%
1 145
 
5.7%
허 132
 
5.2%
가 132
 
5.2%
생 127
 
5.0%
Other values (23) 550
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1352
52.8%
Decimal Number 776
30.3%
Dash Punctuation 435
 
17.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 253
18.7%
건 158
11.7%
과 145
10.7%
허 132
9.8%
가 132
9.8%
생 127
9.4%
재 127
9.4%
신 72
 
5.3%
대 36
 
2.7%
수 36
 
2.7%
Other values (12) 134
9.9%
Decimal Number
ValueCountFrequency (%)
2 291
37.5%
0 195
25.1%
1 145
18.7%
9 39
 
5.0%
3 22
 
2.8%
8 22
 
2.8%
4 17
 
2.2%
5 16
 
2.1%
6 15
 
1.9%
7 14
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 435
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1352
52.8%
Common 1211
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 253
18.7%
건 158
11.7%
과 145
10.7%
허 132
9.8%
가 132
9.8%
생 127
9.4%
재 127
9.4%
신 72
 
5.3%
대 36
 
2.7%
수 36
 
2.7%
Other values (12) 134
9.9%
Common
ValueCountFrequency (%)
- 435
35.9%
2 291
24.0%
0 195
16.1%
1 145
 
12.0%
9 39
 
3.2%
3 22
 
1.8%
8 22
 
1.8%
4 17
 
1.4%
5 16
 
1.3%
6 15
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1352
52.8%
ASCII 1211
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 435
35.9%
2 291
24.0%
0 195
16.1%
1 145
 
12.0%
9 39
 
3.2%
3 22
 
1.8%
8 22
 
1.8%
4 17
 
1.4%
5 16
 
1.3%
6 15
 
1.2%
Hangul
ValueCountFrequency (%)
축 253
18.7%
건 158
11.7%
과 145
10.7%
허 132
9.8%
가 132
9.8%
생 127
9.4%
재 127
9.4%
신 72
 
5.3%
대 36
 
2.7%
수 36
 
2.7%
Other values (12) 134
9.9%

대지위치
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:36:02.191046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length20.468966
Min length17

Characters and Unicode

Total characters2968
Distinct characters51
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)95.9%

Sample

1st row부산광역시 중구 남포동4가 2-5
2nd row부산광역시 중구 남포동5가 117-6 외5필지
3rd row부산광역시 중구 중앙동2가 3 외1필지
4th row부산광역시 중구 창선동1가 30-1 외2필지
5th row부산광역시 중구 보수동1가 133-2
ValueCountFrequency (%)
부산광역시 145
23.1%
중구 145
23.1%
외1필지 27
 
4.3%
중앙동4가 12
 
1.9%
보수동2가 11
 
1.7%
외2필지 10
 
1.6%
보수동1가 10
 
1.6%
남포동5가 9
 
1.4%
영주동 9
 
1.4%
창선동1가 7
 
1.1%
Other values (168) 244
38.8%
2023-12-11T01:36:02.951859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
16.3%
중 165
 
5.6%
1 163
 
5.5%
부 161
 
5.4%
광 161
 
5.4%
동 153
 
5.2%
산 146
 
4.9%
시 145
 
4.9%
구 145
 
4.9%
역 145
 
4.9%
Other values (41) 1100
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
58.6%
Decimal Number 617
 
20.8%
Space Separator 484
 
16.3%
Dash Punctuation 122
 
4.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 165
9.5%
부 161
9.3%
광 161
9.3%
동 153
8.8%
산 146
8.4%
시 145
8.3%
구 145
8.3%
역 145
8.3%
가 136
7.8%
외 47
 
2.7%
Other values (26) 336
19.3%
Decimal Number
ValueCountFrequency (%)
1 163
26.4%
2 123
19.9%
3 72
11.7%
4 60
 
9.7%
5 52
 
8.4%
8 43
 
7.0%
6 40
 
6.5%
7 23
 
3.7%
9 22
 
3.6%
0 19
 
3.1%
Space Separator
ValueCountFrequency (%)
484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
58.6%
Common 1227
41.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 165
9.5%
부 161
9.3%
광 161
9.3%
동 153
8.8%
산 146
8.4%
시 145
8.3%
구 145
8.3%
역 145
8.3%
가 136
7.8%
외 47
 
2.7%
Other values (26) 336
19.3%
Common
ValueCountFrequency (%)
484
39.4%
1 163
 
13.3%
2 123
 
10.0%
- 122
 
9.9%
3 72
 
5.9%
4 60
 
4.9%
5 52
 
4.2%
8 43
 
3.5%
6 40
 
3.3%
7 23
 
1.9%
Other values (4) 45
 
3.7%
Latin
ValueCountFrequency (%)
I 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
58.6%
ASCII 1228
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
39.4%
1 163
 
13.3%
2 123
 
10.0%
- 122
 
9.9%
3 72
 
5.9%
4 60
 
4.9%
5 52
 
4.2%
8 43
 
3.5%
6 40
 
3.3%
7 23
 
1.9%
Other values (5) 46
 
3.7%
Hangul
ValueCountFrequency (%)
중 165
9.5%
부 161
9.3%
광 161
9.3%
동 153
8.8%
산 146
8.4%
시 145
8.3%
구 145
8.3%
역 145
8.3%
가 136
7.8%
외 47
 
2.7%
Other values (26) 336
19.3%

지목
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대
140 
잡종지
 
3
종교용지
 
1
주차장
 
1

Length

Max length4
Median length1
Mean length1.0758621
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
대 140
96.6%
잡종지 3
 
2.1%
종교용지 1
 
0.7%
주차장 1
 
0.7%

Length

2023-12-11T01:36:03.168835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:03.342413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 140
96.6%
잡종지 3
 
2.1%
종교용지 1
 
0.7%
주차장 1
 
0.7%

대지면적(제곱미터)
Real number (ℝ)

Distinct140
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean940.05297
Minimum50.8
Maximum38297.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:03.516806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.8
5-th percentile79.48
Q1152
median274.6
Q3452.8
95-th percentile1858.986
Maximum38297.2
Range38246.4
Interquartile range (IQR)300.8

Descriptive statistics

Standard deviation3988.8513
Coefficient of variation (CV)4.2432197
Kurtosis65.584777
Mean940.05297
Median Absolute Deviation (MAD)135.8
Skewness7.868983
Sum136307.68
Variance15910934
MonotonicityNot monotonic
2023-12-11T01:36:03.677826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.9 2
 
1.4%
575.2 2
 
1.4%
346.98 2
 
1.4%
217.2 2
 
1.4%
2639.4 2
 
1.4%
114.4 1
 
0.7%
160.5 1
 
0.7%
38297.2 1
 
0.7%
377.3 1
 
0.7%
127.9 1
 
0.7%
Other values (130) 130
89.7%
ValueCountFrequency (%)
50.8 1
0.7%
51.6 1
0.7%
52.12 1
0.7%
58.2 1
0.7%
74.0 1
0.7%
77.4 1
0.7%
78.7 1
0.7%
79.3 1
0.7%
80.2 1
0.7%
81.0 1
0.7%
ValueCountFrequency (%)
38297.2 1
0.7%
26466.27 1
0.7%
13898.0 1
0.7%
3173.0 1
0.7%
2639.4 2
1.4%
2476.5 1
0.7%
1864.8 1
0.7%
1835.73 1
0.7%
1391.6 1
0.7%
1282.7 1
0.7%

건축면적(제곱미터)
Real number (ℝ)

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean469.17251
Minimum36.58
Maximum14192.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:03.888754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.58
5-th percentile61.096
Q1112.465
median178.7
Q3308.57
95-th percentile1232.356
Maximum14192.48
Range14155.9
Interquartile range (IQR)196.105

Descriptive statistics

Standard deviation1550.8529
Coefficient of variation (CV)3.3055067
Kurtosis64.677296
Mean469.17251
Median Absolute Deviation (MAD)85.44
Skewness7.9082529
Sum68030.014
Variance2405144.7
MonotonicityNot monotonic
2023-12-11T01:36:04.057445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450.74 2
 
1.4%
273.64 2
 
1.4%
1452.44 2
 
1.4%
94.61 1
 
0.7%
79.67 1
 
0.7%
127.39 1
 
0.7%
14192.48 1
 
0.7%
300.8612 1
 
0.7%
124.8 1
 
0.7%
96.16 1
 
0.7%
Other values (132) 132
91.0%
ValueCountFrequency (%)
36.58 1
0.7%
36.64 1
0.7%
38.43 1
0.7%
39.67 1
0.7%
41.2 1
0.7%
54.77 1
0.7%
56.82 1
0.7%
60.37 1
0.7%
64.0 1
0.7%
65.14 1
0.7%
ValueCountFrequency (%)
14192.48 1
0.7%
12152.59 1
0.7%
2560.53 1
0.7%
1452.44 2
1.4%
1301.23 1
0.7%
1290.8 1
0.7%
1243.89 1
0.7%
1186.22 1
0.7%
1132.97 1
0.7%
1131.83 1
0.7%

연면적(제곱미터)
Real number (ℝ)

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2182.8583
Minimum114.81
Maximum24673.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:04.536311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114.81
5-th percentile175.214
Q1376.45
median995.37
Q32249.59
95-th percentile7869.086
Maximum24673.86
Range24559.05
Interquartile range (IQR)1873.14

Descriptive statistics

Standard deviation3734.9026
Coefficient of variation (CV)1.7110146
Kurtosis18.851302
Mean2182.8583
Median Absolute Deviation (MAD)729.48
Skewness4.012451
Sum316514.46
Variance13949497
MonotonicityNot monotonic
2023-12-11T01:36:04.749370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4266.71 2
 
1.4%
231.18 1
 
0.7%
133.22 1
 
0.7%
882.56 1
 
0.7%
19248.22 1
 
0.7%
1945.02 1
 
0.7%
462.08 1
 
0.7%
340.45 1
 
0.7%
546.1 1
 
0.7%
3202.95 1
 
0.7%
Other values (134) 134
92.4%
ValueCountFrequency (%)
114.81 1
0.7%
128.0 1
0.7%
133.22 1
0.7%
153.7 1
0.7%
160.03 1
0.7%
162.56 1
0.7%
173.04 1
0.7%
174.78 1
0.7%
176.95 1
0.7%
179.4 1
0.7%
ValueCountFrequency (%)
24673.86 1
0.7%
23676.17 1
0.7%
19248.22 1
0.7%
13111.3 1
0.7%
12033.19 1
0.7%
10983.63 1
0.7%
8502.83 1
0.7%
8061.24 1
0.7%
7100.4702 1
0.7%
6232.7 1
0.7%

증축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing120
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean164.7794
Minimum16.63
Maximum499.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:04.926863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.63
5-th percentile21.134
Q159.64
median95.8
Q3202.035
95-th percentile490.358
Maximum499.26
Range482.63
Interquartile range (IQR)142.395

Descriptive statistics

Standard deviation159.13992
Coefficient of variation (CV)0.96577558
Kurtosis-0.027959356
Mean164.7794
Median Absolute Deviation (MAD)66.55
Skewness1.1580026
Sum4119.485
Variance25325.514
MonotonicityNot monotonic
2023-12-11T01:36:05.089089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
95.8 1
 
0.7%
202.035 1
 
0.7%
59.64 1
 
0.7%
67.06 1
 
0.7%
65.04 1
 
0.7%
28.41 1
 
0.7%
199.93 1
 
0.7%
278.31 1
 
0.7%
374.01 1
 
0.7%
83.98 1
 
0.7%
Other values (15) 15
 
10.3%
(Missing) 120
82.8%
ValueCountFrequency (%)
16.63 1
0.7%
20.82 1
0.7%
22.39 1
0.7%
28.41 1
0.7%
29.25 1
0.7%
50.95 1
0.7%
59.64 1
0.7%
65.04 1
0.7%
66.53 1
0.7%
67.06 1
0.7%
ValueCountFrequency (%)
499.26 1
0.7%
499.24 1
0.7%
454.83 1
0.7%
410.54 1
0.7%
374.01 1
0.7%
278.31 1
0.7%
202.035 1
0.7%
199.93 1
0.7%
158.1 1
0.7%
153.62 1
0.7%

건폐율(퍼센트)
Real number (ℝ)

Distinct141
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.008538
Minimum18.4237
Maximum93.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:05.265540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.4237
5-th percentile40.37312
Q169.78
median77.02
Q379.4573
95-th percentile88.77
Maximum93.62
Range75.1963
Interquartile range (IQR)9.6773

Descriptive statistics

Standard deviation14.053559
Coefficient of variation (CV)0.19516517
Kurtosis2.3415723
Mean72.008538
Median Absolute Deviation (MAD)2.86
Skewness-1.5268114
Sum10441.238
Variance197.50252
MonotonicityNot monotonic
2023-12-11T01:36:05.494244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.86 3
 
2.1%
76.88 2
 
1.4%
55.03 2
 
1.4%
82.7 1
 
0.7%
88.88 1
 
0.7%
37.06 1
 
0.7%
79.74 1
 
0.7%
57.46 1
 
0.7%
75.1837 1
 
0.7%
93.62 1
 
0.7%
Other values (131) 131
90.3%
ValueCountFrequency (%)
18.4237 1
0.7%
22.89 1
0.7%
33.44 1
0.7%
34.6 1
0.7%
35.67 1
0.7%
37.06 1
0.7%
38.6 1
0.7%
40.19 1
0.7%
41.1056 1
0.7%
44.3171 1
0.7%
ValueCountFrequency (%)
93.62 1
0.7%
93.17 1
0.7%
93.0638 1
0.7%
92.5239 1
0.7%
92.27 1
0.7%
89.85 1
0.7%
89.3856 1
0.7%
88.88 1
0.7%
88.33 1
0.7%
87.1 1
0.7%

용적률(퍼센트)
Real number (ℝ)

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.86684
Minimum30.47
Maximum1199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:05.759317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.47
5-th percentile97.04304
Q1206.02
median326.7287
Q3539.11
95-th percentile965.484
Maximum1199
Range1168.53
Interquartile range (IQR)333.09

Descriptive statistics

Standard deviation274.69965
Coefficient of variation (CV)0.68017381
Kurtosis0.52252101
Mean403.86684
Median Absolute Deviation (MAD)135.8353
Skewness1.0943466
Sum58560.692
Variance75459.899
MonotonicityNot monotonic
2023-12-11T01:36:06.060171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.65 2
 
1.4%
202.08 1
 
0.7%
262.24 1
 
0.7%
549.8816 1
 
0.7%
50.26 1
 
0.7%
515.51 1
 
0.7%
212.74 1
 
0.7%
229.9218 1
 
0.7%
548.1 1
 
0.7%
450.6 1
 
0.7%
Other values (134) 134
92.4%
ValueCountFrequency (%)
30.47 1
0.7%
34.6 1
0.7%
39.62 1
0.7%
50.26 1
0.7%
57.5846 1
0.7%
61.1802 1
0.7%
77.71 1
0.7%
96.8838 1
0.7%
97.68 1
0.7%
98.59 1
0.7%
ValueCountFrequency (%)
1199.0 1
0.7%
1149.4 1
0.7%
1146.87 1
0.7%
1120.95 1
0.7%
1103.2 1
0.7%
1043.79 1
0.7%
999.18 1
0.7%
969.34 1
0.7%
950.06 1
0.7%
933.05 1
0.7%

구조
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
철근콘크리트구조
112 
일반철골구조
21 
<NA>
 
5
철골철근콘크리트구조
 
3
경량철골구조
 
2
Other values (2)
 
2

Length

Max length10
Median length8
Mean length7.5448276
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트구조 112
77.2%
일반철골구조 21
 
14.5%
<NA> 5
 
3.4%
철골철근콘크리트구조 3
 
2.1%
경량철골구조 2
 
1.4%
블록구조 1
 
0.7%
기타조적구조 1
 
0.7%

Length

2023-12-11T01:36:06.345303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:06.519760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트구조 112
77.2%
일반철골구조 21
 
14.5%
na 5
 
3.4%
철골철근콘크리트구조 3
 
2.1%
경량철골구조 2
 
1.4%
블록구조 1
 
0.7%
기타조적구조 1
 
0.7%

허가일
Date

Distinct133
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2015-01-05 00:00:00
Maximum2022-12-20 00:00:00
2023-12-11T01:36:06.716178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:06.912974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공처리일
Date

Distinct131
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2019-02-27 00:00:00
Maximum2023-05-22 00:00:00
2023-12-11T01:36:07.120412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.362688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일
Date

MISSING 

Distinct68
Distinct (%)90.7%
Missing70
Missing (%)48.3%
Memory size1.3 KiB
Minimum2019-05-13 00:00:00
Maximum2023-07-10 00:00:00
2023-12-11T01:36:07.561375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:07.784442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct20
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7586207
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:07.982933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q38
95-th percentile18.8
Maximum22
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.8351661
Coefficient of variation (CV)0.71540723
Kurtosis1.285382
Mean6.7586207
Median Absolute Deviation (MAD)2
Skewness1.4714025
Sum980
Variance23.378831
MonotonicityNot monotonic
2023-12-11T01:36:08.127172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 33
22.8%
5 23
15.9%
3 22
15.2%
6 13
 
9.0%
2 9
 
6.2%
20 5
 
3.4%
8 5
 
3.4%
13 4
 
2.8%
14 4
 
2.8%
11 4
 
2.8%
Other values (10) 23
15.9%
ValueCountFrequency (%)
1 1
 
0.7%
2 9
 
6.2%
3 22
15.2%
4 33
22.8%
5 23
15.9%
6 13
 
9.0%
7 4
 
2.8%
8 5
 
3.4%
9 2
 
1.4%
10 3
 
2.1%
ValueCountFrequency (%)
22 1
 
0.7%
20 5
3.4%
19 2
 
1.4%
18 1
 
0.7%
16 1
 
0.7%
15 4
2.8%
14 4
2.8%
13 4
2.8%
12 4
2.8%
11 4
2.8%

최대지하층수
Categorical

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
55 
0
51 
<NA>
32 
2
 
4
4
 
2

Length

Max length4
Median length1
Mean length1.662069
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row0
3rd row4
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 55
37.9%
0 51
35.2%
<NA> 32
22.1%
2 4
 
2.8%
4 2
 
1.4%
3 1
 
0.7%

Length

2023-12-11T01:36:08.286047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:08.469342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
37.9%
0 51
35.2%
na 32
22.1%
2 4
 
2.8%
4 2
 
1.4%
3 1
 
0.7%

최고높이(미터)
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.1386
Minimum0
Maximum83.7
Zeros4
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:36:08.682487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.4
Q113.1
median19.1
Q330.5
95-th percentile59.57
Maximum83.7
Range83.7
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation16.296395
Coefficient of variation (CV)0.67511764
Kurtosis1.9869505
Mean24.1386
Median Absolute Deviation (MAD)7.05
Skewness1.4389546
Sum3500.097
Variance265.57248
MonotonicityNot monotonic
2023-12-11T01:36:08.896948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
2.8%
28.2 3
 
2.1%
26.4 3
 
2.1%
15.1 2
 
1.4%
19.8 2
 
1.4%
16.0 2
 
1.4%
12.0 2
 
1.4%
21.2 2
 
1.4%
35.4 2
 
1.4%
10.0 2
 
1.4%
Other values (112) 121
83.4%
ValueCountFrequency (%)
0.0 4
2.8%
5.0 1
 
0.7%
7.0 1
 
0.7%
7.9 1
 
0.7%
8.25 1
 
0.7%
9.0 1
 
0.7%
9.2 1
 
0.7%
9.5 1
 
0.7%
9.7 1
 
0.7%
9.852 1
 
0.7%
ValueCountFrequency (%)
83.7 1
0.7%
78.06 1
0.7%
75.21 1
0.7%
70.09 1
0.7%
63.8 1
0.7%
60.9 1
0.7%
60.6 1
0.7%
59.99 1
0.7%
57.89 1
0.7%
57.74 1
0.7%

동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
137 
0
 
5
2
 
1
4
 
1
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 137
94.5%
0 5
 
3.4%
2 1
 
0.7%
4 1
 
0.7%
9 1
 
0.7%

Length

2023-12-11T01:36:09.077714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:09.187955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 137
94.5%
0 5
 
3.4%
2 1
 
0.7%
4 1
 
0.7%
9 1
 
0.7%

주용도
Categorical

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
제2종근린생활시설
44 
제1종근린생활시설
37 
업무시설
30 
단독주택
8 
숙박시설
7 
Other values (8)
19 

Length

Max length9
Median length9
Mean length6.8896552
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

1st row제1종근린생활시설
2nd row판매시설
3rd row업무시설
4th row제1종근린생활시설
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 44
30.3%
제1종근린생활시설 37
25.5%
업무시설 30
20.7%
단독주택 8
 
5.5%
숙박시설 7
 
4.8%
공동주택 7
 
4.8%
자동차관련시설 3
 
2.1%
운수시설 3
 
2.1%
판매시설 2
 
1.4%
교육연구시설 1
 
0.7%
Other values (3) 3
 
2.1%

Length

2023-12-11T01:36:09.293561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 44
30.3%
제1종근린생활시설 37
25.5%
업무시설 30
20.7%
단독주택 8
 
5.5%
숙박시설 7
 
4.8%
공동주택 7
 
4.8%
자동차관련시설 3
 
2.1%
운수시설 3
 
2.1%
판매시설 2
 
1.4%
교육연구시설 1
 
0.7%
Other values (3) 3
 
2.1%

부속용도
Text

MISSING 

Distinct71
Distinct (%)62.3%
Missing31
Missing (%)21.4%
Memory size1.3 KiB
2023-12-11T01:36:09.464844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length8.8333333
Min length2

Characters and Unicode

Total characters1007
Distinct characters102
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

Unique56 ?
Unique (%)49.1%

Sample

1st row미용실
2nd row소매점
3rd row업무시설+근린생활시설-의원
4th row소매점+휴게음식점
5th row소매점+일반음식점
ValueCountFrequency (%)
오피스텔 12
 
10.1%
일반음식점 7
 
5.9%
소매점 7
 
5.9%
사무소 6
 
5.0%
근린생활시설 4
 
3.4%
제1종근린생활시설(소매점+의원)+제2종근린생활시설(일반음식점 3
 
2.5%
목욕장 3
 
2.5%
도시형생활주택 3
 
2.5%
숙박시설 2
 
1.7%
소매점+사무소 2
 
1.7%
Other values (63) 70
58.8%
2023-12-11T01:36:09.753471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 52
 
5.2%
시 52
 
5.2%
설 48
 
4.8%
점 47
 
4.7%
소 41
 
4.1%
활 35
 
3.5%
생 35
 
3.5%
) 33
 
3.3%
( 33
 
3.3%
무 30
 
3.0%
Other values (92) 601
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
85.5%
Math Symbol 52
 
5.2%
Close Punctuation 33
 
3.3%
Open Punctuation 33
 
3.3%
Decimal Number 21
 
2.1%
Space Separator 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 52
 
6.0%
설 48
 
5.6%
점 47
 
5.5%
소 41
 
4.8%
활 35
 
4.1%
생 35
 
4.1%
무 30
 
3.5%
근 29
 
3.4%
린 29
 
3.4%
주 27
 
3.1%
Other values (85) 488
56.7%
Decimal Number
ValueCountFrequency (%)
2 11
52.4%
1 10
47.6%
Math Symbol
ValueCountFrequency (%)
+ 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
85.5%
Common 146
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 52
 
6.0%
설 48
 
5.6%
점 47
 
5.5%
소 41
 
4.8%
활 35
 
4.1%
생 35
 
4.1%
무 30
 
3.5%
근 29
 
3.4%
린 29
 
3.4%
주 27
 
3.1%
Other values (85) 488
56.7%
Common
ValueCountFrequency (%)
+ 52
35.6%
) 33
22.6%
( 33
22.6%
2 11
 
7.5%
1 10
 
6.8%
6
 
4.1%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
85.5%
ASCII 146
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 52
35.6%
) 33
22.6%
( 33
22.6%
2 11
 
7.5%
1 10
 
6.8%
6
 
4.1%
- 1
 
0.7%
Hangul
ValueCountFrequency (%)
시 52
 
6.0%
설 48
 
5.6%
점 47
 
5.5%
소 41
 
4.8%
활 35
 
4.1%
생 35
 
4.1%
무 30
 
3.5%
근 29
 
3.4%
린 29
 
3.4%
주 27
 
3.1%
Other values (85) 488
56.7%

용도지역
Categorical

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반상업지역
86 
가로구역별최고높이제한지역
37 
제2종일반주거지역
11 
제3종일반주거지역
 
4
준주거지역
 
3
Other values (4)
 
4

Length

Max length13
Median length6
Mean length8.0551724
Min length4

Unique

Unique4 ?
Unique (%)2.8%

Sample

1st row일반상업지역
2nd row일반상업지역
3rd row가로구역별최고높이제한지역
4th row가로구역별최고높이제한지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
일반상업지역 86
59.3%
가로구역별최고높이제한지역 37
25.5%
제2종일반주거지역 11
 
7.6%
제3종일반주거지역 4
 
2.8%
준주거지역 3
 
2.1%
준공업지역 1
 
0.7%
상업지역 1
 
0.7%
<NA> 1
 
0.7%
건축용도지역기타 1
 
0.7%

Length

2023-12-11T01:36:09.881046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:09.996033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반상업지역 86
59.3%
가로구역별최고높이제한지역 37
25.5%
제2종일반주거지역 11
 
7.6%
제3종일반주거지역 4
 
2.8%
준주거지역 3
 
2.1%
준공업지역 1
 
0.7%
상업지역 1
 
0.7%
na 1
 
0.7%
건축용도지역기타 1
 
0.7%

용도지구
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
방화지구
121 
<NA>
16 
주거환경개선지구
 
4
시가지경관지구(중심)
 
2
중요시설물보호지구(항만)
 
1

Length

Max length13
Median length4
Mean length4.2689655
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row방화지구
2nd row중요시설물보호지구(항만)
3rd row방화지구
4th row방화지구
5th row방화지구

Common Values

ValueCountFrequency (%)
방화지구 121
83.4%
<NA> 16
 
11.0%
주거환경개선지구 4
 
2.8%
시가지경관지구(중심) 2
 
1.4%
중요시설물보호지구(항만) 1
 
0.7%
고도지구 1
 
0.7%

Length

2023-12-11T01:36:10.122176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:10.231060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방화지구 121
83.4%
na 16
 
11.0%
주거환경개선지구 4
 
2.8%
시가지경관지구(중심 2
 
1.4%
중요시설물보호지구(항만 1
 
0.7%
고도지구 1
 
0.7%

용도구역
Categorical

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
중점경관관리구역
54 
<NA>
46 
상대보호구역
24 
가축사육제한구역
19 
제1종지구단위계획구역
 
2

Length

Max length11
Median length8
Mean length6.4413793
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중점경관관리구역
2nd row가축사육제한구역
3rd row중점경관관리구역
4th row중점경관관리구역
5th row상대보호구역

Common Values

ValueCountFrequency (%)
중점경관관리구역 54
37.2%
<NA> 46
31.7%
상대보호구역 24
16.6%
가축사육제한구역 19
 
13.1%
제1종지구단위계획구역 2
 
1.4%

Length

2023-12-11T01:36:10.366729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:10.491282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중점경관관리구역 54
37.2%
na 46
31.7%
상대보호구역 24
16.6%
가축사육제한구역 19
 
13.1%
제1종지구단위계획구역 2
 
1.4%

설계사무소명
Text

Distinct116
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:36:10.768658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.627586
Min length8

Characters and Unicode

Total characters1686
Distinct characters150
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)72.4%

Sample

1st row건축사사무소 키아
2nd row(주)지음 건축사사무소
3rd row건축사사무소 가전건축
4th row(주)종합건축사사무소 디엔지
5th row에이포인트건축사사무소
ValueCountFrequency (%)
건축사사무소 43
 
17.9%
종합건축사사무소 21
 
8.8%
주식회사 19
 
7.9%
세온 10
 
4.2%
항도건축사사무소 8
 
3.3%
주)종합건축사사무소 5
 
2.1%
마루 4
 
1.7%
항도 3
 
1.2%
민엔지니어링건축사사무소 3
 
1.2%
주)삼중아키텍트건축사사무소 2
 
0.8%
Other values (116) 122
50.8%
2023-12-11T01:36:11.279973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 312
18.5%
건 155
 
9.2%
축 153
 
9.1%
무 146
 
8.7%
소 145
 
8.6%
96
 
5.7%
주 63
 
3.7%
( 41
 
2.4%
) 41
 
2.4%
종 40
 
2.4%
Other values (140) 494
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1485
88.1%
Space Separator 96
 
5.7%
Open Punctuation 41
 
2.4%
Close Punctuation 41
 
2.4%
Uppercase Letter 15
 
0.9%
Decimal Number 6
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 312
21.0%
건 155
10.4%
축 153
 
10.3%
무 146
 
9.8%
소 145
 
9.8%
주 63
 
4.2%
종 40
 
2.7%
합 40
 
2.7%
이 26
 
1.8%
식 21
 
1.4%
Other values (124) 384
25.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
26.7%
C 4
26.7%
J 2
13.3%
N 2
13.3%
E 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 1
16.7%
5 1
16.7%
2 1
16.7%
8 1
16.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1485
88.1%
Common 186
 
11.0%
Latin 15
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 312
21.0%
건 155
10.4%
축 153
 
10.3%
무 146
 
9.8%
소 145
 
9.8%
주 63
 
4.2%
종 40
 
2.7%
합 40
 
2.7%
이 26
 
1.8%
식 21
 
1.4%
Other values (124) 384
25.9%
Common
ValueCountFrequency (%)
96
51.6%
( 41
22.0%
) 41
22.0%
1 2
 
1.1%
& 2
 
1.1%
4 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
8 1
 
0.5%
Latin
ValueCountFrequency (%)
A 4
26.7%
C 4
26.7%
J 2
13.3%
N 2
13.3%
E 1
 
6.7%
S 1
 
6.7%
D 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1485
88.1%
ASCII 201
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 312
21.0%
건 155
10.4%
축 153
 
10.3%
무 146
 
9.8%
소 145
 
9.8%
주 63
 
4.2%
종 40
 
2.7%
합 40
 
2.7%
이 26
 
1.8%
식 21
 
1.4%
Other values (124) 384
25.9%
ASCII
ValueCountFrequency (%)
96
47.8%
( 41
20.4%
) 41
20.4%
A 4
 
2.0%
C 4
 
2.0%
J 2
 
1.0%
1 2
 
1.0%
N 2
 
1.0%
& 2
 
1.0%
4 1
 
0.5%
Other values (6) 6
 
3.0%

감리사무소명
Text

MISSING 

Distinct115
Distinct (%)86.5%
Missing12
Missing (%)8.3%
Memory size1.3 KiB
2023-12-11T01:36:11.524996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11
Min length8

Characters and Unicode

Total characters1463
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)78.2%

Sample

1st row건축사사무소 키아
2nd row주식회사종합건축사사무소건
3rd row건축사사무소 가전건축
4th row(주)수가디자인 건축사사무소
5th row(주)비전21건축사사무소
ValueCountFrequency (%)
건축사사무소 38
 
19.7%
주식회사 8
 
4.1%
항도건축사사무소 6
 
3.1%
종합건축사사무소 6
 
3.1%
주)종합건축사사무소 4
 
2.1%
jn건축사사무소 4
 
2.1%
마루 3
 
1.6%
주식회사아키프로건축사사무소 2
 
1.0%
세온 2
 
1.0%
선명건축사사무소 2
 
1.0%
Other values (111) 118
61.1%
2023-12-11T01:36:11.916923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 281
19.2%
건 140
 
9.6%
축 139
 
9.5%
무 134
 
9.2%
소 133
 
9.1%
60
 
4.1%
주 53
 
3.6%
( 37
 
2.5%
) 37
 
2.5%
이 22
 
1.5%
Other values (131) 427
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
88.6%
Space Separator 60
 
4.1%
Open Punctuation 37
 
2.5%
Close Punctuation 37
 
2.5%
Uppercase Letter 22
 
1.5%
Decimal Number 8
 
0.5%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 281
21.7%
건 140
10.8%
축 139
10.7%
무 134
 
10.3%
소 133
 
10.3%
주 53
 
4.1%
이 22
 
1.7%
합 20
 
1.5%
종 20
 
1.5%
지 16
 
1.2%
Other values (113) 338
26.1%
Uppercase Letter
ValueCountFrequency (%)
N 5
22.7%
A 5
22.7%
J 5
22.7%
C 3
13.6%
D 1
 
4.5%
S 1
 
4.5%
I 1
 
4.5%
P 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
5 1
 
12.5%
8 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
# 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1296
88.6%
Common 145
 
9.9%
Latin 22
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 281
21.7%
건 140
10.8%
축 139
10.7%
무 134
 
10.3%
소 133
 
10.3%
주 53
 
4.1%
이 22
 
1.7%
합 20
 
1.5%
종 20
 
1.5%
지 16
 
1.2%
Other values (113) 338
26.1%
Common
ValueCountFrequency (%)
60
41.4%
( 37
25.5%
) 37
25.5%
1 3
 
2.1%
2 2
 
1.4%
& 2
 
1.4%
5 1
 
0.7%
8 1
 
0.7%
4 1
 
0.7%
# 1
 
0.7%
Latin
ValueCountFrequency (%)
N 5
22.7%
A 5
22.7%
J 5
22.7%
C 3
13.6%
D 1
 
4.5%
S 1
 
4.5%
I 1
 
4.5%
P 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1296
88.6%
ASCII 167
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 281
21.7%
건 140
10.8%
축 139
10.7%
무 134
 
10.3%
소 133
 
10.3%
주 53
 
4.1%
이 22
 
1.7%
합 20
 
1.5%
종 20
 
1.5%
지 16
 
1.2%
Other values (113) 338
26.1%
ASCII
ValueCountFrequency (%)
60
35.9%
( 37
22.2%
) 37
22.2%
N 5
 
3.0%
A 5
 
3.0%
J 5
 
3.0%
C 3
 
1.8%
1 3
 
1.8%
2 2
 
1.2%
& 2
 
1.2%
Other values (8) 8
 
4.8%

시공자사무소명
Text

MISSING 

Distinct91
Distinct (%)85.0%
Missing38
Missing (%)26.2%
Memory size1.3 KiB
2023-12-11T01:36:12.208490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.6074766
Min length3

Characters and Unicode

Total characters921
Distinct characters135
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)74.8%

Sample

1st row석진건설 주식회사
2nd row(주)화송산업개발
3rd row팬스타인프라건설
4th row(주)엠엔지종합건설
5th row우리들종합건설(주)
ValueCountFrequency (%)
주)지앤종합건설 4
 
3.6%
남아건설(주 4
 
3.6%
주식회사 3
 
2.7%
주)아몬드건설 3
 
2.7%
상우종합건설(주 2
 
1.8%
전원종합건설(주 2
 
1.8%
주)청인종합건설 2
 
1.8%
정우종합건설(주 2
 
1.8%
주)계담종합건설 2
 
1.8%
주)디알종합건설 2
 
1.8%
Other values (82) 84
76.4%
2023-12-11T01:36:12.880392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 106
 
11.5%
건 94
 
10.2%
( 93
 
10.1%
) 93
 
10.1%
설 92
 
10.0%
종 64
 
6.9%
합 62
 
6.7%
식 11
 
1.2%
사 11
 
1.2%
회 11
 
1.2%
Other values (125) 284
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
79.4%
Open Punctuation 93
 
10.1%
Close Punctuation 93
 
10.1%
Space Separator 3
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
14.5%
건 94
 
12.9%
설 92
 
12.6%
종 64
 
8.8%
합 62
 
8.5%
식 11
 
1.5%
사 11
 
1.5%
회 11
 
1.5%
아 10
 
1.4%
지 10
 
1.4%
Other values (121) 260
35.6%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
79.5%
Common 189
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
14.5%
건 94
 
12.8%
설 92
 
12.6%
종 64
 
8.7%
합 62
 
8.5%
식 11
 
1.5%
사 11
 
1.5%
회 11
 
1.5%
아 10
 
1.4%
지 10
 
1.4%
Other values (122) 261
35.7%
Common
ValueCountFrequency (%)
( 93
49.2%
) 93
49.2%
3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
79.4%
ASCII 189
 
20.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 106
14.5%
건 94
 
12.9%
설 92
 
12.6%
종 64
 
8.8%
합 62
 
8.5%
식 11
 
1.5%
사 11
 
1.5%
회 11
 
1.5%
아 10
 
1.4%
지 10
 
1.4%
Other values (121) 260
35.6%
ASCII
ValueCountFrequency (%)
( 93
49.2%
) 93
49.2%
3
 
1.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Sample

건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
0대수선2022-재생건축과-대수선허가-8부산광역시 중구 남포동4가 2-5대114.494.61231.18<NA>82.7202.08철근콘크리트구조2022-12-202022-12-28<NA>3<NA>11.11제1종근린생활시설미용실일반상업지역방화지구중점경관관리구역건축사사무소 키아건축사사무소 키아석진건설 주식회사
1신축2022-재생건축과-공용건축물-5부산광역시 중구 남포동5가 117-6 외5필지잡종지3173.01131.831827.16<NA>35.6757.5846철근콘크리트구조2022-12-142023-03-23<NA>3015.271판매시설소매점일반상업지역중요시설물보호지구(항만)가축사육제한구역(주)지음 건축사사무소주식회사종합건축사사무소건(주)화송산업개발
2증축2022-재생건축과-증축허가-7부산광역시 중구 중앙동2가 3 외1필지대774.9599.965789.01410.5477.42427.77철근콘크리트구조2022-09-272022-11-102023-06-146428.21업무시설업무시설+근린생활시설-의원가로구역별최고높이제한지역방화지구중점경관관리구역건축사사무소 가전건축건축사사무소 가전건축팬스타인프라건설
3신축2022-재생건축과-신축허가-15부산광역시 중구 창선동1가 30-1 외2필지대175.2134.86392.63<NA>76.97224.1일반철골구조2022-09-162022-10-312023-07-104015.351제1종근린생활시설소매점+휴게음식점가로구역별최고높이제한지역방화지구중점경관관리구역(주)종합건축사사무소 디엔지(주)수가디자인 건축사사무소(주)엠엔지종합건설
4대수선2022-재생건축과-대수선허가-7부산광역시 중구 보수동1가 133-2대271.1155.48731.06<NA>57.35224.45철근콘크리트구조2022-08-172022-09-202023-02-154116.61제2종근린생활시설소매점+일반음식점일반상업지역방화지구상대보호구역에이포인트건축사사무소<NA>우리들종합건설(주)
5신축2022-재생건축과-신축허가-13부산광역시 중구 보수동1가 116-95 외5필지대350.0204.81765.77<NA>58.5171218.7914철근콘크리트구조2022-07-212022-08-22<NA>5017.40교육연구시설유치원제2종일반주거지역<NA><NA>제이앤제이건축사사무소(주)비전21건축사사무소예종종합건설(주)
6신축2022-재생건축과-신축허가-12부산광역시 중구 남포동6가 9-1대293.2233.28448.97<NA>79.57153.13일반철골구조2022-07-182022-09-132023-07-102012.051제2종근린생활시설일반음식점일반상업지역방화지구중점경관관리구역(주)부산건축종합건축사사무소(주)시엔티설계건축사사무소신의종합건설주식회사
7대수선2022-재생건축과-대수선허가-5부산광역시 중구 남포동6가 8-1대167.6133.51786.46<NA>79.66424.62철근콘크리트구조2022-07-082022-07-212023-01-126118.01숙박시설근린생활시설가로구역별최고높이제한지역방화지구중점경관관리구역모인종합건축사사무소모인종합건축사사무소<NA>
8증축2022-재생건축과-증축허가-5부산광역시 중구 영주동 283-12대360.1144.74383.1395.840.19106.4일반철골구조2022-06-242022-08-102023-04-134<NA>13.251제1종근린생활시설휴게음식점+단독주택제2종일반주거지역<NA>상대보호구역바론건축사사무소바론건축사사무소<NA>
9증축2021-재생건축과-협의건축물-3부산광역시 중구 영주동 62-71 외8필지대463.0264.05794.29499.2657.03171.55철근콘크리트구조2021-12-072022-10-18<NA>4<NA>15.762제2종근린생활시설사무소제2종일반주거지역<NA>중점경관관리구역JN건축사사무소JN건축사사무소(주)주원종합건설
건축구분허가번호대지위치지목대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)증축연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명
135신축2018-창조건축과-신축허가-31부산광역시 중구 대청동4가 82-21대307.2225.221958.58<NA>73.31620.98철근콘크리트구조2018-12-202019-05-03<NA>12042.01업무시설오피스텔+공동주택(다세대 도시형생활주택)일반상업지역방화지구<NA>주식회사 종합건축사사무소 세온(주)에스디건축사사무소(주)지앤종합건설
136신축2018-창조건축과-신축허가-30부산광역시 중구 대청동2가 2-6대210.2124.96376.45<NA>59.44179.09철근콘크리트구조2018-12-122019-03-142019-09-234013.71단독주택다가구주택준주거지역<NA>가축사육제한구역영진건축사사무소영진건축사사무소(주)범한종합건설
137신축2018-창조건축과-공용건축물-6부산광역시 중구 보수동1가 95-3대338.6257.541695.14<NA>76.06455.7철근콘크리트구조2018-11-212019-03-07<NA>8128.91업무시설공공업무시설(보건소)가로구역별최고높이제한지역방화지구상대보호구역(주)경인건축사사무소고담 종합건축사사무소(주)정명건설
138증축2018-창조건축과-증축허가-6부산광역시 중구 중앙동5가 21대500.9417.761547.035202.03583.4306.16철근콘크리트구조2018-10-182019-02-27<NA>4117.31업무시설사무소일반상업지역방화지구<NA>(주)제이비 건축사사무소(주)제이비 건축사사무소세린종합건설(주)
139신축2018-창조건축과-공용건축물-4부산광역시 중구 중앙동4가 83-2 외1필지대2639.41452.444266.71<NA>55.03161.65철근콘크리트구조2018-08-202019-04-04<NA>6035.41업무시설공공업무시설일반상업지역방화지구<NA>(주)희담종합건축사사무소(주)하우엔지니어링건축사사무소(주)만연건설
140신축2018-창조건축과-신축허가-17부산광역시 중구 보수동2가 89-10대281.1216.921970.94<NA>77.17683.01철근콘크리트구조2018-05-172019-05-23<NA>12041.91업무시설오피스텔일반상업지역방화지구<NA>주식회사 종합건축사사무소 세온(주)종합건축사사무소 세온(주)태종종합건설
141신축2018-창조건축과-신축허가-8부산광역시 중구 남포동1가 51-1 외6필지대542.2410.75884.5<NA>76.88969.34철근콘크리트구조2018-02-082019-09-24<NA>14257.891제1종근린생활시설의원+커피숍+일반음식점가로구역별최고높이제한지역방화지구<NA>(주)거현이엔지건축사사무소(주)새누이엔지건축사사무소남아건설(주)
142신축2017-창조건축과-신축허가-6부산광역시 중구 보수동2가 1-3대460.9321.88794583.8087<NA>69.84893.1018철근콘크리트구조2017-03-022019-03-22<NA>18157.41업무시설오피스텔+공동주택(아파트)+1종근린생활시설일반상업지역방화지구가축사육제한구역(주)무이건축사사무소(주)무이건축사사무소(주)시아이디건설
143신축2016-건축과-신축허가-31부산광역시 중구 대청동2가 9-6 외2필지대427.1308.573336.784<NA>72.25727.82철근콘크리트구조2016-10-262019-10-17<NA>13042.01업무시설오피스텔일반상업지역방화지구가축사육제한구역유승건축사사무소유승 건축사사무소(주)디알종합건설
144신축2015-건축과-공용건축물-1부산광역시 중구 부평동2가 12-13 외2필지대112.483.99334.28<NA>74.7242297.4021철근콘크리트구조2015-01-052020-01-02<NA>4014.51제2종근린생활시설<NA>일반상업지역방화지구<NA>항도건축사사무소항도건축사사무소해마루종합건설(주)