Overview

Dataset statistics

Number of variables20
Number of observations307
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.0 KiB
Average record size in memory163.4 B

Variable types

Numeric3
Text7
Categorical9
DateTime1

Dataset

Description대구광역시_중점관리대상 현황_20200501
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15031865&dataSetDetailId=150318651f2075dc7b9d1&provdMethod=FILE

Alerts

선정사유 is highly overall correlated with 사유번호 and 3 other fieldsHigh correlation
선정대상 is highly overall correlated with 사유번호 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 비고 and 1 other fieldsHigh correlation
사유번호 is highly overall correlated with 용도 and 3 other fieldsHigh correlation
용도 is highly overall correlated with 사유번호 and 3 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
등급 is highly overall correlated with 비고 and 1 other fieldsHigh correlation
등급사유(특급,A급만 기재) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
급별 is highly imbalanced (51.8%)Imbalance
신규여부 is highly imbalanced (73.3%)Imbalance
등급사유(특급,A급만 기재) is highly imbalanced (59.5%)Imbalance
연번 has unique valuesUnique
면적 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:18:00.759139
Analysis finished2023-12-10 19:18:06.720064
Duration5.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct307
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154
Minimum1
Maximum307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T04:18:06.833640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.3
Q177.5
median154
Q3230.5
95-th percentile291.7
Maximum307
Range306
Interquartile range (IQR)153

Descriptive statistics

Standard deviation88.767487
Coefficient of variation (CV)0.57641225
Kurtosis-1.2
Mean154
Median Absolute Deviation (MAD)77
Skewness0
Sum47278
Variance7879.6667
MonotonicityStrictly increasing
2023-12-11T04:18:07.095429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
204 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
203 1
 
0.3%
Other values (297) 297
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%

연번.1
Real number (ℝ)

Distinct63
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.312704
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T04:18:07.321862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q110
median20
Q330
95-th percentile47.7
Maximum63
Range62
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.013297
Coefficient of variation (CV)0.65750911
Kurtosis0.10127607
Mean21.312704
Median Absolute Deviation (MAD)10
Skewness0.71159786
Sum6543
Variance196.37249
MonotonicityNot monotonic
2023-12-11T04:18:07.599731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8
 
2.6%
15 8
 
2.6%
2 8
 
2.6%
26 8
 
2.6%
25 8
 
2.6%
24 8
 
2.6%
23 8
 
2.6%
22 8
 
2.6%
21 8
 
2.6%
20 8
 
2.6%
Other values (53) 227
73.9%
ValueCountFrequency (%)
1 8
2.6%
2 8
2.6%
3 8
2.6%
4 8
2.6%
5 8
2.6%
6 8
2.6%
7 8
2.6%
8 8
2.6%
9 8
2.6%
10 8
2.6%
ValueCountFrequency (%)
63 1
0.3%
62 1
0.3%
61 1
0.3%
60 1
0.3%
59 1
0.3%
58 1
0.3%
57 1
0.3%
56 1
0.3%
55 1
0.3%
54 1
0.3%

대상명
Text

Distinct305
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:08.062488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length6.7947883
Min length3

Characters and Unicode

Total characters2086
Distinct characters352
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)98.7%

Sample

1st row동아쇼핑
2nd row현대백화점 대구점
3rd row스카이랜드(구.세명오피스텔)
4th row삼성금융프라자
5th row메트로센터
ValueCountFrequency (%)
롯데백화점 2
 
0.6%
호텔 2
 
0.6%
홈플러스 2
 
0.6%
호텔인터불고 2
 
0.6%
뉴캐슬나이트 2
 
0.6%
계명대학교동산의료원 1
 
0.3%
골든뷰메디타워 1
 
0.3%
황금비지니스센터 1
 
0.3%
노블레스(포르쉐 1
 
0.3%
성원넥서스 1
 
0.3%
Other values (320) 320
95.5%
2023-12-11T04:18:08.694066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 91
 
4.4%
병 65
 
3.1%
스 49
 
2.3%
대 46
 
2.2%
구 41
 
2.0%
) 36
 
1.7%
( 36
 
1.7%
텔 35
 
1.7%
성 35
 
1.7%
이 35
 
1.7%
Other values (342) 1617
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1898
91.0%
Uppercase Letter 59
 
2.8%
Close Punctuation 36
 
1.7%
Open Punctuation 36
 
1.7%
Space Separator 32
 
1.5%
Other Punctuation 10
 
0.5%
Other Symbol 8
 
0.4%
Decimal Number 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 91
 
4.8%
병 65
 
3.4%
스 49
 
2.6%
대 46
 
2.4%
구 41
 
2.2%
텔 35
 
1.8%
성 35
 
1.8%
이 35
 
1.8%
양 34
 
1.8%
시 31
 
1.6%
Other values (312) 1436
75.7%
Uppercase Letter
ValueCountFrequency (%)
S 8
13.6%
K 7
11.9%
M 7
11.9%
C 5
8.5%
T 5
8.5%
B 5
8.5%
V 4
 
6.8%
G 4
 
6.8%
D 2
 
3.4%
L 2
 
3.4%
Other values (9) 10
16.9%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
? 1
 
10.0%
, 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
5 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1906
91.4%
Common 121
 
5.8%
Latin 59
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 91
 
4.8%
병 65
 
3.4%
스 49
 
2.6%
대 46
 
2.4%
구 41
 
2.2%
텔 35
 
1.8%
성 35
 
1.8%
이 35
 
1.8%
양 34
 
1.8%
시 31
 
1.6%
Other values (313) 1444
75.8%
Latin
ValueCountFrequency (%)
S 8
13.6%
K 7
11.9%
M 7
11.9%
C 5
8.5%
T 5
8.5%
B 5
8.5%
V 4
 
6.8%
G 4
 
6.8%
D 2
 
3.4%
L 2
 
3.4%
Other values (9) 10
16.9%
Common
ValueCountFrequency (%)
) 36
29.8%
( 36
29.8%
32
26.4%
. 7
 
5.8%
2 4
 
3.3%
1 2
 
1.7%
5 1
 
0.8%
& 1
 
0.8%
? 1
 
0.8%
, 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1898
91.0%
ASCII 180
 
8.6%
None 8
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 91
 
4.8%
병 65
 
3.4%
스 49
 
2.6%
대 46
 
2.4%
구 41
 
2.2%
텔 35
 
1.8%
성 35
 
1.8%
이 35
 
1.8%
양 34
 
1.8%
시 31
 
1.6%
Other values (312) 1436
75.7%
ASCII
ValueCountFrequency (%)
) 36
20.0%
( 36
20.0%
32
17.8%
S 8
 
4.4%
K 7
 
3.9%
. 7
 
3.9%
M 7
 
3.9%
C 5
 
2.8%
T 5
 
2.8%
B 5
 
2.8%
Other values (19) 32
17.8%
None
ValueCountFrequency (%)
㈜ 8
100.0%

위치
Text

Distinct305
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:09.291498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length15.537459
Min length6

Characters and Unicode

Total characters4770
Distinct characters172
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

Unique303 ?
Unique (%)98.7%

Sample

1st row중구 달구벌대로 2085(덕산동)
2nd row중구 달구벌대로 2077(계산2가)
3rd row중구 봉산문화2길 42-27(봉산동)
4th row중구 달구벌대로 2095(덕산동)
5th row중구 달구벌대로 2100(덕산동)
ValueCountFrequency (%)
북구 59
 
6.0%
달서구 57
 
5.8%
중구 49
 
4.9%
동구 40
 
4.0%
수성구 30
 
3.0%
달구벌대로 23
 
2.3%
서구 19
 
1.9%
남구 14
 
1.4%
달성군 14
 
1.4%
유통단지로 12
 
1.2%
Other values (480) 674
68.0%
2023-12-11T04:18:10.062356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
696
 
14.6%
구 317
 
6.6%
로 298
 
6.2%
동 282
 
5.9%
1 225
 
4.7%
) 194
 
4.1%
( 194
 
4.1%
2 157
 
3.3%
3 104
 
2.2%
서 104
 
2.2%
Other values (162) 2199
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2638
55.3%
Decimal Number 1019
 
21.4%
Space Separator 696
 
14.6%
Close Punctuation 194
 
4.1%
Open Punctuation 194
 
4.1%
Dash Punctuation 25
 
0.5%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 317
 
12.0%
로 298
 
11.3%
동 282
 
10.7%
서 104
 
3.9%
달 103
 
3.9%
대 94
 
3.6%
성 79
 
3.0%
중 75
 
2.8%
길 74
 
2.8%
북 71
 
2.7%
Other values (147) 1141
43.3%
Decimal Number
ValueCountFrequency (%)
1 225
22.1%
2 157
15.4%
3 104
10.2%
5 101
9.9%
0 88
 
8.6%
4 88
 
8.6%
6 78
 
7.7%
7 67
 
6.6%
9 58
 
5.7%
8 53
 
5.2%
Space Separator
ValueCountFrequency (%)
696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2638
55.3%
Common 2132
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 317
 
12.0%
로 298
 
11.3%
동 282
 
10.7%
서 104
 
3.9%
달 103
 
3.9%
대 94
 
3.6%
성 79
 
3.0%
중 75
 
2.8%
길 74
 
2.8%
북 71
 
2.7%
Other values (147) 1141
43.3%
Common
ValueCountFrequency (%)
696
32.6%
1 225
 
10.6%
) 194
 
9.1%
( 194
 
9.1%
2 157
 
7.4%
3 104
 
4.9%
5 101
 
4.7%
0 88
 
4.1%
4 88
 
4.1%
6 78
 
3.7%
Other values (5) 207
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2638
55.3%
ASCII 2132
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
696
32.6%
1 225
 
10.6%
) 194
 
9.1%
( 194
 
9.1%
2 157
 
7.4%
3 104
 
4.9%
5 101
 
4.7%
0 88
 
4.1%
4 88
 
4.1%
6 78
 
3.7%
Other values (5) 207
 
9.7%
Hangul
ValueCountFrequency (%)
구 317
 
12.0%
로 298
 
11.3%
동 282
 
10.7%
서 104
 
3.9%
달 103
 
3.9%
대 94
 
3.6%
성 79
 
3.0%
중 75
 
2.8%
길 74
 
2.8%
북 71
 
2.7%
Other values (147) 1141
43.3%

건물구조(층)
Text

Distinct235
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:10.402264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length73
Mean length11.283388
Min length2

Characters and Unicode

Total characters3464
Distinct characters55
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)65.1%

Sample

1st rowRC조 스라브12/3
2nd rowSRC조 스라브10/6
3rd rowRC조 스라브21/1
4th rowRC조 스라브25/7
5th rowRC조 스라브-3
ValueCountFrequency (%)
rc스라브 44
 
8.9%
rc조 30
 
6.1%
rc슬라브 22
 
4.5%
1동 13
 
2.6%
외 10
 
2.0%
rc스라브3/1 9
 
1.8%
철골판넬 9
 
1.8%
6/1 8
 
1.6%
스라브 8
 
1.6%
3/1 7
 
1.4%
Other values (232) 333
67.5%
2023-12-11T04:18:10.947886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 330
 
9.5%
R 312
 
9.0%
C 312
 
9.0%
라 308
 
8.9%
브 308
 
8.9%
1 308
 
8.9%
스 271
 
7.8%
216
 
6.2%
2 115
 
3.3%
3 84
 
2.4%
Other values (45) 900
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
37.7%
Decimal Number 823
23.8%
Uppercase Letter 629
18.2%
Other Punctuation 355
 
10.2%
Space Separator 216
 
6.2%
Close Punctuation 66
 
1.9%
Open Punctuation 66
 
1.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 308
23.6%
브 308
23.6%
스 271
20.7%
층 61
 
4.7%
조 52
 
4.0%
동 46
 
3.5%
슬 43
 
3.3%
철 41
 
3.1%
골 36
 
2.8%
외 25
 
1.9%
Other values (24) 116
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 308
37.4%
2 115
 
14.0%
3 84
 
10.2%
0 78
 
9.5%
4 59
 
7.2%
5 55
 
6.7%
7 39
 
4.7%
6 36
 
4.4%
8 29
 
3.5%
9 20
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
R 312
49.6%
C 312
49.6%
S 3
 
0.5%
E 1
 
0.2%
P 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 330
93.0%
, 25
 
7.0%
Space Separator
ValueCountFrequency (%)
216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1528
44.1%
Hangul 1307
37.7%
Latin 629
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 308
23.6%
브 308
23.6%
스 271
20.7%
층 61
 
4.7%
조 52
 
4.0%
동 46
 
3.5%
슬 43
 
3.3%
철 41
 
3.1%
골 36
 
2.8%
외 25
 
1.9%
Other values (24) 116
 
8.9%
Common
ValueCountFrequency (%)
/ 330
21.6%
1 308
20.2%
216
14.1%
2 115
 
7.5%
3 84
 
5.5%
0 78
 
5.1%
) 66
 
4.3%
( 66
 
4.3%
4 59
 
3.9%
5 55
 
3.6%
Other values (6) 151
9.9%
Latin
ValueCountFrequency (%)
R 312
49.6%
C 312
49.6%
S 3
 
0.5%
E 1
 
0.2%
P 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2157
62.3%
Hangul 1307
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 330
15.3%
R 312
14.5%
C 312
14.5%
1 308
14.3%
216
10.0%
2 115
 
5.3%
3 84
 
3.9%
0 78
 
3.6%
) 66
 
3.1%
( 66
 
3.1%
Other values (11) 270
12.5%
Hangul
ValueCountFrequency (%)
라 308
23.6%
브 308
23.6%
스 271
20.7%
층 61
 
4.7%
조 52
 
4.0%
동 46
 
3.5%
슬 43
 
3.3%
철 41
 
3.1%
골 36
 
2.8%
외 25
 
1.9%
Other values (24) 116
 
8.9%

층수
Categorical

Distinct49
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
35 
5
31 
4
31 
8
26 
7
25 
Other values (44)
159 

Length

Max length14
Median length1
Mean length1.6091205
Min length1

Unique

Unique29 ?
Unique (%)9.4%

Sample

1st row12
2nd row10
3rd row21
4th row25
5th row-3

Common Values

ValueCountFrequency (%)
3 35
11.4%
5 31
10.1%
4 31
10.1%
8 26
 
8.5%
7 25
 
8.1%
6 23
 
7.5%
10 20
 
6.5%
2 20
 
6.5%
9 16
 
5.2%
11 15
 
4.9%
Other values (39) 65
21.2%

Length

2023-12-11T04:18:11.198293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3 36
11.5%
4 32
10.2%
5 31
9.9%
8 26
8.3%
7 25
 
8.0%
6 24
 
7.7%
2 24
 
7.7%
10 20
 
6.4%
9 16
 
5.1%
11 15
 
4.8%
Other values (39) 64
20.4%

대표자
Text

Distinct283
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:11.533904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length4.3485342
Min length2

Characters and Unicode

Total characters1335
Distinct characters262
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)89.6%

Sample

1st row㈜이랜드디테일윤여영(대표이사)
2nd row㈜현대백화점진영태(점장,전무)
3rd row㈜세명씨엔씨외1천주영(대표이사)
4th row삼성생명대표이사전상섭(사업부장)
5th row삼성물산㈜외1이영우(관리소장)
ValueCountFrequency (%)
개인 10
 
3.1%
대표이사 9
 
2.8%
번영회장 3
 
0.9%
원장 2
 
0.6%
구정모 2
 
0.6%
서순자 2
 
0.6%
지사장 2
 
0.6%
유완식 2
 
0.6%
이사장 2
 
0.6%
진재근 1
 
0.3%
Other values (285) 285
89.1%
2023-12-11T04:18:12.224195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 54
 
4.0%
이 54
 
4.0%
㈜ 38
 
2.8%
대 30
 
2.2%
장 29
 
2.2%
사 26
 
1.9%
인 26
 
1.9%
영 25
 
1.9%
박 23
 
1.7%
성 20
 
1.5%
Other values (252) 1010
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1217
91.2%
Other Symbol 38
 
2.8%
Decimal Number 20
 
1.5%
Open Punctuation 16
 
1.2%
Close Punctuation 16
 
1.2%
Space Separator 14
 
1.0%
Uppercase Letter 10
 
0.7%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 54
 
4.4%
이 54
 
4.4%
대 30
 
2.5%
장 29
 
2.4%
사 26
 
2.1%
인 26
 
2.1%
영 25
 
2.1%
박 23
 
1.9%
성 20
 
1.6%
개 18
 
1.5%
Other values (231) 912
74.9%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
X 1
 
10.0%
S 1
 
10.0%
K 1
 
10.0%
H 1
 
10.0%
Y 1
 
10.0%
N 1
 
10.0%
C 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
3 3
 
15.0%
2 2
 
10.0%
0 2
 
10.0%
4 1
 
5.0%
5 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
: 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1255
94.0%
Common 70
 
5.2%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 54
 
4.3%
이 54
 
4.3%
㈜ 38
 
3.0%
대 30
 
2.4%
장 29
 
2.3%
사 26
 
2.1%
인 26
 
2.1%
영 25
 
2.0%
박 23
 
1.8%
성 20
 
1.6%
Other values (232) 930
74.1%
Common
ValueCountFrequency (%)
( 16
22.9%
) 16
22.9%
14
20.0%
1 10
14.3%
3 3
 
4.3%
, 2
 
2.9%
2 2
 
2.9%
0 2
 
2.9%
: 2
 
2.9%
4 1
 
1.4%
Other values (2) 2
 
2.9%
Latin
ValueCountFrequency (%)
T 3
30.0%
X 1
 
10.0%
S 1
 
10.0%
K 1
 
10.0%
H 1
 
10.0%
Y 1
 
10.0%
N 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1217
91.2%
ASCII 80
 
6.0%
None 38
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 54
 
4.4%
이 54
 
4.4%
대 30
 
2.5%
장 29
 
2.4%
사 26
 
2.1%
인 26
 
2.1%
영 25
 
2.1%
박 23
 
1.9%
성 20
 
1.6%
개 18
 
1.5%
Other values (231) 912
74.9%
None
ValueCountFrequency (%)
㈜ 38
100.0%
ASCII
ValueCountFrequency (%)
( 16
20.0%
) 16
20.0%
14
17.5%
1 10
12.5%
3 3
 
3.8%
T 3
 
3.8%
, 2
 
2.5%
2 2
 
2.5%
0 2
 
2.5%
: 2
 
2.5%
Other values (10) 10
12.5%

소방안전관리자
Text

Distinct303
Distinct (%)99.3%
Missing2
Missing (%)0.7%
Memory size2.5 KiB
2023-12-11T04:18:12.823801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.6360656
Min length2

Characters and Unicode

Total characters1109
Distinct characters173
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)98.7%

Sample

1st row김무정(사원)
2nd row홍대용(방재실장)
3rd row천주영(대표, ㈜성광방재대행)
4th row박상훈(과장)
5th row이영우(관리소장)
ValueCountFrequency (%)
김병우 2
 
0.6%
한준 2
 
0.6%
최원태 1
 
0.3%
이태훈 1
 
0.3%
임한선 1
 
0.3%
곽영길 1
 
0.3%
이병규 1
 
0.3%
이재홍 1
 
0.3%
수성방재위탁이상원 1
 
0.3%
김무정(사원 1
 
0.3%
Other values (297) 297
96.1%
2023-12-11T04:18:13.661071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 76
 
6.9%
이 65
 
5.9%
) 30
 
2.7%
( 30
 
2.7%
정 23
 
2.1%
기 23
 
2.1%
호 22
 
2.0%
영 20
 
1.8%
수 20
 
1.8%
박 20
 
1.8%
Other values (163) 780
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1022
92.2%
Close Punctuation 30
 
2.7%
Open Punctuation 30
 
2.7%
Decimal Number 18
 
1.6%
Space Separator 5
 
0.5%
Other Punctuation 3
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 76
 
7.4%
이 65
 
6.4%
정 23
 
2.3%
기 23
 
2.3%
호 22
 
2.2%
영 20
 
2.0%
수 20
 
2.0%
박 20
 
2.0%
상 20
 
2.0%
재 19
 
1.9%
Other values (155) 714
69.9%
Decimal Number
ValueCountFrequency (%)
2 11
61.1%
1 6
33.3%
3 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1023
92.2%
Common 86
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 76
 
7.4%
이 65
 
6.4%
정 23
 
2.2%
기 23
 
2.2%
호 22
 
2.2%
영 20
 
2.0%
수 20
 
2.0%
박 20
 
2.0%
상 20
 
2.0%
재 19
 
1.9%
Other values (156) 715
69.9%
Common
ValueCountFrequency (%)
) 30
34.9%
( 30
34.9%
2 11
 
12.8%
1 6
 
7.0%
5
 
5.8%
, 3
 
3.5%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1022
92.2%
ASCII 86
 
7.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 76
 
7.4%
이 65
 
6.4%
정 23
 
2.3%
기 23
 
2.3%
호 22
 
2.2%
영 20
 
2.0%
수 20
 
2.0%
박 20
 
2.0%
상 20
 
2.0%
재 19
 
1.9%
Other values (155) 714
69.9%
ASCII
ValueCountFrequency (%)
) 30
34.9%
( 30
34.9%
2 11
 
12.8%
1 6
 
7.0%
5
 
5.8%
, 3
 
3.5%
3 1
 
1.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

급별
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2급
157 
1급
133 
특급
 
9
일반
 
3
1
 
2
Other values (2)
 
3

Length

Max length4
Median length2
Mean length1.9934853
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1급
2nd row1급
3rd row1급
4th row특급
5th row1급

Common Values

ValueCountFrequency (%)
2급 157
51.1%
1급 133
43.3%
특급 9
 
2.9%
일반 3
 
1.0%
1 2
 
0.7%
2 2
 
0.7%
<NA> 1
 
0.3%

Length

2023-12-11T04:18:13.902414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:18:14.085660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2급 157
51.1%
1급 133
43.3%
특급 9
 
2.9%
일반 3
 
1.0%
1 2
 
0.7%
2 2
 
0.7%
na 1
 
0.3%

면적
Text

UNIQUE 

Distinct307
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:14.514141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length55
Mean length6.4169381
Min length3

Characters and Unicode

Total characters1970
Distinct characters26
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)100.0%

Sample

1st row35536
2nd row118165
3rd row2300
4th row82672
5th row60090
ValueCountFrequency (%)
외 4
 
1.2%
외6 2
 
0.6%
1 2
 
0.6%
35536 1
 
0.3%
3,103㎡ 1
 
0.3%
9366 1
 
0.3%
7,112㎡ 1
 
0.3%
4,6867㎡ 1
 
0.3%
42,302㎡ 1
 
0.3%
12,551㎡ 1
 
0.3%
Other values (313) 313
95.4%
2023-12-11T04:18:15.293184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 224
11.4%
2 202
10.3%
4 173
8.8%
3 172
8.7%
6 168
8.5%
9 161
8.2%
7 150
7.6%
8 145
7.4%
5 145
7.4%
0 144
7.3%
Other values (16) 286
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1684
85.5%
Other Punctuation 174
 
8.8%
Other Symbol 35
 
1.8%
Other Letter 28
 
1.4%
Space Separator 21
 
1.1%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Uppercase Letter 6
 
0.3%
Math Symbol 6
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 224
13.3%
2 202
12.0%
4 173
10.3%
3 172
10.2%
6 168
10.0%
9 161
9.6%
7 150
8.9%
8 145
8.6%
5 145
8.6%
0 144
8.6%
Other Letter
ValueCountFrequency (%)
외 17
60.7%
동 5
 
17.9%
면 1
 
3.6%
적 1
 
3.6%
연 1
 
3.6%
번 1
 
3.6%
지 1
 
3.6%
일 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 123
70.7%
. 51
29.3%
Other Symbol
ValueCountFrequency (%)
㎡ 35
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1936
98.3%
Hangul 28
 
1.4%
Latin 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 224
11.6%
2 202
10.4%
4 173
8.9%
3 172
8.9%
6 168
8.7%
9 161
8.3%
7 150
7.7%
8 145
7.5%
5 145
7.5%
0 144
7.4%
Other values (7) 252
13.0%
Hangul
ValueCountFrequency (%)
외 17
60.7%
동 5
 
17.9%
면 1
 
3.6%
적 1
 
3.6%
연 1
 
3.6%
번 1
 
3.6%
지 1
 
3.6%
일 1
 
3.6%
Latin
ValueCountFrequency (%)
E 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1907
96.8%
CJK Compat 35
 
1.8%
Hangul 28
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 224
11.7%
2 202
10.6%
4 173
9.1%
3 172
9.0%
6 168
8.8%
9 161
8.4%
7 150
7.9%
8 145
7.6%
5 145
7.6%
0 144
7.6%
Other values (7) 223
11.7%
CJK Compat
ValueCountFrequency (%)
㎡ 35
100.0%
Hangul
ValueCountFrequency (%)
외 17
60.7%
동 5
 
17.9%
면 1
 
3.6%
적 1
 
3.6%
연 1
 
3.6%
번 1
 
3.6%
지 1
 
3.6%
일 1
 
3.6%

용도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
복합
96 
의료
57 
판매
45 
공장
34 
숙박
23 
Other values (12)
52 

Length

Max length4
Median length2
Mean length2.1140065
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row판매
2nd row판매
3rd row업무
4th row업무
5th row지하가

Common Values

ValueCountFrequency (%)
복합 96
31.3%
의료 57
18.6%
판매 45
14.7%
공장 34
 
11.1%
숙박 23
 
7.5%
노유자 22
 
7.2%
업무 5
 
1.6%
위락 5
 
1.6%
지하가 5
 
1.6%
문화집회 3
 
1.0%
Other values (7) 12
 
3.9%

Length

2023-12-11T04:18:15.587511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복합 96
31.3%
의료 57
18.6%
판매 45
14.7%
공장 34
 
11.1%
숙박 23
 
7.5%
노유자 22
 
7.2%
위락 5
 
1.6%
지하가 5
 
1.6%
업무 5
 
1.6%
문화집회 3
 
1.0%
Other values (7) 12
 
3.9%

소방시설
Text

Distinct292
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T04:18:15.922019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length49
Mean length26.752443
Min length2

Characters and Unicode

Total characters8213
Distinct characters99
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique280 ?
Unique (%)91.2%

Sample

1st row소화,옥소,클러,하론,방송,자탐,피난,유도,조명,제연,송수,콘센,무통,용수
2nd row소화,옥소,옥외,클러,탄소,청정,자탐,방송,가스,구조,유도,조명,휴비,용수,제연,송수,콘센,무통,
3rd row소화,옥소,클러,하론,방송,자탐,피난,유도,조명,제연,송수,콘센,무통,용수
4th row소화,옥소,클러,하론,방송,자탐,유도,조명,송수,콘센,제연,무통,용수
5th row소화,옥소,클러,청정,자탐,방송,구조,유도,조명,용수,제연,송수,콘센,무통
ValueCountFrequency (%)
소화 12
 
3.1%
피난 7
 
1.8%
옥소 6
 
1.6%
자탐 6
 
1.6%
유도 5
 
1.3%
소화,옥소,클러,하론,방송,자탐,피난,유도,조명,제연,송수,콘센,무통,용수 4
 
1.0%
조명 3
 
0.8%
제연 3
 
0.8%
소화,유도,자탐,옥소,송수,용수,콘센,클러 3
 
0.8%
소화,유도,자탐,옥소,클러,송수,상수 2
 
0.5%
Other values (318) 332
86.7%
2023-12-11T04:18:16.538407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 2342
28.5%
소 579
 
7.0%
옥 338
 
4.1%
송 334
 
4.1%
수 329
 
4.0%
자 303
 
3.7%
탐 300
 
3.7%
화 274
 
3.3%
도 268
 
3.3%
유 257
 
3.1%
Other values (89) 2889
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5631
68.6%
Other Punctuation 2438
29.7%
Space Separator 84
 
1.0%
Uppercase Letter 27
 
0.3%
Lowercase Letter 11
 
0.1%
Decimal Number 10
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 579
 
10.3%
옥 338
 
6.0%
송 334
 
5.9%
수 329
 
5.8%
자 303
 
5.4%
탐 300
 
5.3%
화 274
 
4.9%
도 268
 
4.8%
유 257
 
4.6%
러 217
 
3.9%
Other values (71) 2432
43.2%
Uppercase Letter
ValueCountFrequency (%)
C 9
33.3%
O 8
29.6%
S 5
18.5%
K 4
14.8%
P 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
s 5
45.5%
k 4
36.4%
o 1
 
9.1%
p 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 2342
96.1%
. 91
 
3.7%
? 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 9
90.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5631
68.6%
Common 2544
31.0%
Latin 38
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 579
 
10.3%
옥 338
 
6.0%
송 334
 
5.9%
수 329
 
5.8%
자 303
 
5.4%
탐 300
 
5.3%
화 274
 
4.9%
도 268
 
4.8%
유 257
 
4.6%
러 217
 
3.9%
Other values (71) 2432
43.2%
Common
ValueCountFrequency (%)
, 2342
92.1%
. 91
 
3.6%
84
 
3.3%
2 9
 
0.4%
) 5
 
0.2%
? 5
 
0.2%
( 5
 
0.2%
` 2
 
0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
C 9
23.7%
O 8
21.1%
s 5
13.2%
S 5
13.2%
K 4
10.5%
k 4
10.5%
o 1
 
2.6%
p 1
 
2.6%
P 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5631
68.6%
ASCII 2582
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2342
90.7%
. 91
 
3.5%
84
 
3.3%
C 9
 
0.3%
2 9
 
0.3%
O 8
 
0.3%
) 5
 
0.2%
? 5
 
0.2%
s 5
 
0.2%
S 5
 
0.2%
Other values (8) 19
 
0.7%
Hangul
ValueCountFrequency (%)
소 579
 
10.3%
옥 338
 
6.0%
송 334
 
5.9%
수 329
 
5.8%
자 303
 
5.4%
탐 300
 
5.3%
화 274
 
4.9%
도 268
 
4.8%
유 257
 
4.6%
러 217
 
3.9%
Other values (71) 2432
43.2%

준공일자
Date

Distinct300
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1964-10-01 00:00:00
Maximum2019-07-05 00:00:00
2023-12-11T04:18:16.752017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:17.347407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

선정대상
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
기타 서장지정
79 
병원
46 
판매
38 
숙박
34 
공장 창고
33 
Other values (6)
77 

Length

Max length7
Median length2
Mean length3.6188925
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row판매
2nd row판매
3rd row고층
4th row고층
5th row기타 서장지정

Common Values

ValueCountFrequency (%)
기타 서장지정 79
25.7%
병원 46
15.0%
판매 38
12.4%
숙박 34
11.1%
공장 창고 33
10.7%
고층 32
10.4%
영화 14
 
4.6%
복합 14
 
4.6%
유흥 13
 
4.2%
위험물 3
 
1.0%

Length

2023-12-11T04:18:17.566928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 79
18.9%
서장지정 79
18.9%
병원 46
11.0%
판매 38
9.1%
숙박 34
8.1%
창고 34
8.1%
공장 33
7.9%
고층 32
7.6%
영화 14
 
3.3%
복합 14
 
3.3%
Other values (2) 16
 
3.8%

사유번호
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.749186
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T04:18:17.754361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median11
Q315
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4484174
Coefficient of variation (CV)0.50686793
Kurtosis-0.96069218
Mean10.749186
Median Absolute Deviation (MAD)4
Skewness0.010632667
Sum3300
Variance29.685253
MonotonicityNot monotonic
2023-12-11T04:18:17.927323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 40
13.0%
11 33
10.7%
17 33
10.7%
14 32
10.4%
7 28
9.1%
5 25
8.1%
20 25
8.1%
2 14
 
4.6%
13 13
 
4.2%
16 13
 
4.2%
Other values (9) 51
16.6%
ValueCountFrequency (%)
1 13
 
4.2%
2 14
 
4.6%
3 6
 
2.0%
4 9
 
2.9%
5 25
8.1%
6 1
 
0.3%
7 28
9.1%
8 6
 
2.0%
9 40
13.0%
10 6
 
2.0%
ValueCountFrequency (%)
20 25
8.1%
19 5
 
1.6%
18 1
 
0.3%
17 33
10.7%
16 13
 
4.2%
14 32
10.4%
13 13
 
4.2%
12 4
 
1.3%
11 33
10.7%
10 6
 
2.0%

선정사유
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
5층이상 병상100개이상
40 
15,000㎡이상
33 
노유자시설로 바닥면적 330㎡ 또는 연면적이 1000㎡이상 수용인원 100인 이상
33 
11층이상(APT제외)
32 
5층이상 객실 50실이상
28 
Other values (13)
141 

Length

Max length45
Median length21
Mean length15.37785
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row백화점
2nd row백화점
3rd row11층이상(APT제외)
4th row11층이상(APT제외)
5th row지하상가로 연면적1000㎡이상

Common Values

ValueCountFrequency (%)
5층이상 병상100개이상 40
13.0%
15,000㎡이상 33
10.7%
노유자시설로 바닥면적 330㎡ 또는 연면적이 1000㎡이상 수용인원 100인 이상 33
10.7%
11층이상(APT제외) 32
10.4%
5층이상 객실 50실이상 28
9.1%
기타 26
8.5%
대형할인매장 25
8.1%
상영관 10개 또는 관람석 500석이상 14
 
4.6%
30,000㎡이상 13
 
4.2%
지하층 또는 5층이상 바닥면적 330㎡이상 13
 
4.2%
Other values (8) 50
16.3%

Length

2023-12-11T04:18:18.132439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5층이상 81
 
9.2%
또는 74
 
8.4%
바닥면적 47
 
5.3%
병상100개이상 40
 
4.5%
기타 39
 
4.4%
330㎡ 34
 
3.9%
연면적이 34
 
3.9%
1000㎡이상 34
 
3.9%
100인 34
 
3.9%
이상 34
 
3.9%
Other values (30) 430
48.8%

신규여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
기존
293 
신규
 
14

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기존 293
95.4%
신규 14
 
4.6%

Length

2023-12-11T04:18:18.342783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:18:18.493836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기존 293
95.4%
신규 14
 
4.6%

비고
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
중부
63 
북부
47 
동부
40 
서부
36 
강서
34 
Other values (3)
87 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중부 63
20.5%
북부 47
15.3%
동부 40
13.0%
서부 36
11.7%
강서 34
11.1%
수성 33
10.7%
달성 28
9.1%
달서 26
8.5%

Length

2023-12-11T04:18:18.661766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:18:18.861706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부 63
20.5%
북부 47
15.3%
동부 40
13.0%
서부 36
11.7%
강서 34
11.1%
수성 33
10.7%
달성 28
9.1%
달서 26
8.5%

등급
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
139 
B급
59 
A급
37 
C급
36 
C
15 
Other values (3)
21 

Length

Max length4
Median length2
Mean length2.8143322
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA급
2nd rowA급
3rd rowC급
4th rowC급
5th rowA급

Common Values

ValueCountFrequency (%)
<NA> 139
45.3%
B급 59
19.2%
A급 37
 
12.1%
C급 36
 
11.7%
C 15
 
4.9%
B 11
 
3.6%
특급 8
 
2.6%
A 2
 
0.7%

Length

2023-12-11T04:18:19.108733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:18:19.319371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
45.3%
b급 59
19.2%
a급 37
 
12.1%
c급 36
 
11.7%
c 15
 
4.9%
b 11
 
3.6%
특급 8
 
2.6%
a 2
 
0.7%

등급사유(특급,A급만 기재)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
222 
대형 인명피해 우려 대상
26 
고층건물, 인명피해 우려
 
8
복합건물, 인명피해 우려
 
7
대형 판매점
 
7
Other values (19)
37 

Length

Max length62
Median length4
Mean length6.3550489
Min length3

Unique

Unique13 ?
Unique (%)4.2%

Sample

1st row대형 판매점
2nd row대형 판매점
3rd row고층건물, 인명피해 우려
4th row고층건물, 인명피해 우려
5th row지하가

Common Values

ValueCountFrequency (%)
<NA> 222
72.3%
대형 인명피해 우려 대상 26
 
8.5%
고층건물, 인명피해 우려 8
 
2.6%
복합건물, 인명피해 우려 7
 
2.3%
대형 판매점 7
 
2.3%
요양병원 6
 
2.0%
대규모 시장 5
 
1.6%
노유자 시설 5
 
1.6%
지하가 3
 
1.0%
시장 및 화재취약대상 3
 
1.0%
Other values (14) 15
 
4.9%

Length

2023-12-11T04:18:19.548576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 222
43.8%
인명피해 44
 
8.7%
우려 41
 
8.1%
대형 33
 
6.5%
대상 26
 
5.1%
시장 8
 
1.6%
고층건물 8
 
1.6%
복합건물 7
 
1.4%
판매점 7
 
1.4%
요양병원 6
 
1.2%
Other values (53) 105
20.7%

Interactions

2023-12-11T04:18:05.591026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:04.622758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:05.150420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:05.747142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:04.819826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:05.299504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:05.899776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:04.989085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:18:05.440729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:18:19.702449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연번.1층수급별용도선정대상사유번호선정사유신규여부비고등급등급사유(특급,A급만 기재)
연번1.0000.6650.5290.3150.5390.5100.6530.6200.0410.9680.8120.912
연번.10.6651.0000.3930.3690.1410.2320.3460.2630.3070.3150.1770.000
층수0.5290.3931.0000.7670.8440.8280.6640.7790.1600.4660.0000.781
급별0.3150.3690.7671.0000.4100.5530.5490.6720.4890.2830.2050.185
용도0.5390.1410.8440.4101.0000.9150.9020.9060.0000.4990.6710.962
선정대상0.5100.2320.8280.5530.9151.0000.9460.9850.0940.4930.6340.911
사유번호0.6530.3460.6640.5490.9020.9461.0001.0000.1540.5130.6360.873
선정사유0.6200.2630.7790.6720.9060.9851.0001.0000.0950.6290.7310.924
신규여부0.0410.3070.1600.4890.0000.0940.1540.0951.0000.0000.2450.000
비고0.9680.3150.4660.2830.4990.4930.5130.6290.0001.0000.6701.000
등급0.8120.1770.0000.2050.6710.6340.6360.7310.2450.6701.0000.994
등급사유(특급,A급만 기재)0.9120.0000.7810.1850.9620.9110.8730.9240.0001.0000.9941.000
2023-12-11T04:18:19.941314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도선정사유등급사유(특급,A급만 기재)선정대상신규여부층수급별등급비고
용도1.0000.5620.7090.6570.0000.3710.2020.3750.231
선정사유0.5621.0000.5710.9060.0720.2950.3290.4260.318
등급사유(특급,A급만 기재)0.7090.5711.0000.5980.0000.2790.0580.8820.870
선정대상0.6570.9060.5981.0000.0880.4120.3210.3830.257
신규여부0.0000.0720.0000.0881.0000.1200.3510.2580.000
층수0.3710.2950.2790.4120.1201.0000.3980.0000.179
급별0.2020.3290.0580.3210.3510.3981.0000.1220.160
등급0.3750.4260.8820.3830.2580.0000.1221.0000.511
비고0.2310.3180.8700.2570.0000.1790.1600.5111.000
2023-12-11T04:18:20.229133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연번.1사유번호층수급별용도선정대상선정사유신규여부비고등급등급사유(특급,A급만 기재)
연번1.000-0.1760.0260.1930.1700.2400.2440.2880.0290.8960.4100.651
연번.1-0.1761.000-0.0120.1400.1960.0340.0930.0970.2380.1570.1010.000
사유번호0.026-0.0121.0000.2710.3260.6410.7910.9820.1160.2740.3850.510
층수0.1930.1400.2711.0000.3980.3710.4120.2950.1200.1790.0000.279
급별0.1700.1960.3260.3981.0000.2020.3210.3290.3510.1600.1220.058
용도0.2400.0340.6410.3710.2021.0000.6570.5620.0000.2310.3750.709
선정대상0.2440.0930.7910.4120.3210.6571.0000.9060.0880.2570.3830.598
선정사유0.2880.0970.9820.2950.3290.5620.9061.0000.0720.3180.4260.571
신규여부0.0290.2380.1160.1200.3510.0000.0880.0721.0000.0000.2580.000
비고0.8960.1570.2740.1790.1600.2310.2570.3180.0001.0000.5110.870
등급0.4100.1010.3850.0000.1220.3750.3830.4260.2580.5111.0000.882
등급사유(특급,A급만 기재)0.6510.0000.5100.2790.0580.7090.5980.5710.0000.8700.8821.000

Missing values

2023-12-11T04:18:06.157315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:18:06.579014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번연번.1대상명위치건물구조(층)층수대표자소방안전관리자급별면적용도소방시설준공일자선정대상사유번호선정사유신규여부비고등급등급사유(특급,A급만 기재)
011동아쇼핑중구 달구벌대로 2085(덕산동)RC조 스라브12/312㈜이랜드디테일윤여영(대표이사)김무정(사원)1급35536판매소화,옥소,클러,하론,방송,자탐,피난,유도,조명,제연,송수,콘센,무통,용수1984-08-11판매4백화점기존중부A급대형 판매점
122현대백화점 대구점중구 달구벌대로 2077(계산2가)SRC조 스라브10/610㈜현대백화점진영태(점장,전무)홍대용(방재실장)1급118165판매소화,옥소,옥외,클러,탄소,청정,자탐,방송,가스,구조,유도,조명,휴비,용수,제연,송수,콘센,무통,2011-07-28판매4백화점기존중부A급대형 판매점
233스카이랜드(구.세명오피스텔)중구 봉산문화2길 42-27(봉산동)RC조 스라브21/121㈜세명씨엔씨외1천주영(대표이사)천주영(대표, ㈜성광방재대행)1급2300업무소화,옥소,클러,하론,방송,자탐,피난,유도,조명,제연,송수,콘센,무통,용수2011-04-29고층1411층이상(APT제외)기존중부C급고층건물, 인명피해 우려
344삼성금융프라자중구 달구벌대로 2095(덕산동)RC조 스라브25/725삼성생명대표이사전상섭(사업부장)박상훈(과장)특급82672업무소화,옥소,클러,하론,방송,자탐,유도,조명,송수,콘센,제연,무통,용수1996-04-01고층1411층이상(APT제외)기존중부C급고층건물, 인명피해 우려
455메트로센터중구 달구벌대로 2100(덕산동)RC조 스라브-3-3삼성물산㈜외1이영우(관리소장)이영우(관리소장)1급60090지하가소화,옥소,클러,청정,자탐,방송,구조,유도,조명,용수,제연,송수,콘센,무통2005-02-28기타 서장지정19지하상가로 연면적1000㎡이상기존중부A급지하가
566메트로프라자중구 달구벌대로 2160(봉산동)RC조 스라브-2-2삼환기업㈜외1박장래(관리소장)김보근(기전주임)2급12036지하가소화,옥소,클러,청정,자탐,방송,구조,유도,조명,용수,제연,무통2005-02-28기타 서장지정19지하상가로 연면적1000㎡이상기존중부A급지하가
677에오스호텔중구 중앙대로 81길 22(동일동)RC스라브8/18차진섭신축으로선임예정2급3149복합소화,옥내,피난,살수,송수,자탐,시각,유도,휴대,조명2013-12-04숙박75층이상 객실 50실이상기존중부B급대형 인명피해 우려 대상
788푸른병원중구 태평로 104(태평로3가)RC스라브14/314김상규외1노창수1급10192복합소화,옥내,클러,피난,인명,제연,송수,자탐,시각,방송,유도,조명,콘센트,무통,가스,휴대2013-04-26고층1411층이상(APT제외)기존중부B급대형 인명피해 우려 대상
899CGV대구아카데미점건물중구 중앙대로 412(남일동)RC조 스라브9/19㈜대원아카데미김태웅2급8048문화집회자탐,피난,소화,유도,클러,조명,방송,탄소,송수,가스2001-12-18영화2상영관 10개 또는 관람석 500석이상기존중부C급영화상영관, 다중이용시설
91010곽병원중구 국채보상로 531(수동)RC스라브10/1,4/110의료법인운경의료재단이희철2급11324의료소화,옥소,클러,하론,자탐,피난,유도,조명,살수2000-06-16병원95층이상 병상100개이상기존중부B급대형 인명피해 우려 대상
연번연번.1대상명위치건물구조(층)층수대표자소방안전관리자급별면적용도소방시설준공일자선정대상사유번호선정사유신규여부비고등급등급사유(특급,A급만 기재)
29729825경창산업달서구 성서로35길 6(월암동)철골 EPS판넬 2/1층2손일호권용찬1급38,211공장자탐,옥소,옥외,방송,용수,조명1995-10-04공장 창고1115,000㎡이상기존강서<NA><NA>
29829926한국지역난방공사달서구 달서대로 351(대천동)RC스라브즙5층5지사장서현관2급7,196공장자탐.옥소.옥외.피난.살수.용수.송수.포1994-11-07위험물12지정수량 3,000배이상기존강서<NA><NA>
29930027풍국주정달서구 성서로 72(대천동)RC스라브4/1RC스라브1/0RC스라브5/0RC스라브2/0RC스라브3/0철골기타1/0철골기타1/0RC스라브1/0RC스라브1/0철골기타1/05이한용조경현2급1.62E+28공장소화,유도,피난,경보,자탐,옥소,옥외,살수,용수,송수,포1994-12-28공장 창고12지정수량 3,000배이상기존강서<NA><NA>
30030128죽곡빌딩(미주병원)달성군 다사읍 달구벌대로 893(매곡리)RC조 스라브13/113송혁의송혁의1급9,164복합소화,옥소,클러,자탐,방송,유도,피난,용수,제연,송수,콘센,휴비2009-02-05고층1411층이상(APT제외)기존강서A급<NA>
30130229대구보훈요양원달성군 하빈면 하산길 123-23(하산리)RC조 스라브3/13한국보훈복지의료공단이영기2급7,490노유자소화,옥소,클러,자탐,속보,방송,조명,피난,유도,용수,구조2011-09-27기타 서장지정17노유자시설로 바닥면적 330㎡ 또는 연면적이 1000㎡이상 수용인원 100인 이상기존강서<NA><NA>
30230330SSLM㈜달성군 다사읍 세천로2길 1철골판넬 2 철골판넬 1 철골판넬 3 철골판넬 1 철골판넬 1 철골판넬 1 철골판넬 1 철골판넬 13대표이사김병우1급2.69E+26공장소화,옥소,옥외,클러,청정,자탐,방송,유도,조명,용수,무통2011-12-02공장 창고1115,000㎡이상기존강서<NA><NA>
30330431성서호호요양병원달서구 문화회관1안길 29RC조 스라브4/14김대성안희우2급3,649의료소화,옥소,클러,자탐,유도,속보,방송2009-09-24기타 서장지정20기타기존강서<NA><NA>
30430532계명대학교동산의료원달서구 달구벌대로 1035(신당동)RC스라브20/505월 20일학교법인계명대학교소재훈1급179,153의료소화,옥내,옥외,클러,청정,포,자탐,방송,유도,조명,피난,구조,송수,제연,무통,콘센2018-09-28병원95층이상 병상100개이상기존강서<NA><NA>
30530633골든뷰메디타워달서구 달구벌대로 1547RC스라브15/215박충호장봉재1급21,888업무소화,옥소,클러,자탐,용수,제연,방송,송수,조명2018-08-06고층1411층이상(APT제외)기존강서<NA><NA>
30630734더블유병원달구벌대로 1632(감삼동 102-7)철근콘크리트10월 02일㈜송원이철2급11,316의료소화,옥소,SP,방송,자탐,제연,송수,유도,조명,상수도2013-10-16병원95층이상 병상100개이상신규강서<NA><NA>