Overview

Dataset statistics

Number of variables12
Number of observations56
Missing cells5
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory99.3 B

Variable types

Text7
DateTime1
Categorical3
Numeric1

Dataset

Description부산광역시 동래구 관내 냉온수기 및 정수기 설치 현황에 대한 데이터로 설치관리번호, 신고번호, 신고일자, 상호명, 다중이용시설구분, 관리주체, 설치구분, 설치대수, 전화번호, 사업장소재지(도로명), 사업장소재지(지번), 휴폐업구분 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/15026233/fileData.do

Alerts

휴폐업구분 has constant value ""Constant
설치구분 is highly imbalanced (54.1%)Imbalance
전화번호 has 5 (8.9%) missing valuesMissing
설치관리번호 has unique valuesUnique
신고번호 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:37:36.770190
Analysis finished2024-03-14 11:37:39.277391
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치관리번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:39.826734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters1176
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row3300000-33-2013-00004
2nd row3300000-33-2013-00006
3rd row3300000-33-2013-00007
4th row3300000-33-2014-00001
5th row3300000-33-2014-00002
ValueCountFrequency (%)
3300000-33-2013-00004 1
 
1.8%
3300000-33-2013-00006 1
 
1.8%
3300000-33-2018-00004 1
 
1.8%
3300000-33-2015-00001 1
 
1.8%
3300000-33-2015-00002 1
 
1.8%
3300000-33-2015-00004 1
 
1.8%
3300000-33-2015-00006 1
 
1.8%
3300000-33-2015-00007 1
 
1.8%
3300000-33-2016-00001 1
 
1.8%
3300000-33-2016-00002 1
 
1.8%
Other values (46) 46
82.1%
2024-03-14T20:37:40.974172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 547
46.5%
3 239
20.3%
- 168
 
14.3%
2 83
 
7.1%
1 69
 
5.9%
4 34
 
2.9%
6 11
 
0.9%
5 9
 
0.8%
8 8
 
0.7%
7 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
85.7%
Dash Punctuation 168
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 547
54.3%
3 239
23.7%
2 83
 
8.2%
1 69
 
6.8%
4 34
 
3.4%
6 11
 
1.1%
5 9
 
0.9%
8 8
 
0.8%
7 4
 
0.4%
9 4
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 547
46.5%
3 239
20.3%
- 168
 
14.3%
2 83
 
7.1%
1 69
 
5.9%
4 34
 
2.9%
6 11
 
0.9%
5 9
 
0.8%
8 8
 
0.7%
7 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 547
46.5%
3 239
20.3%
- 168
 
14.3%
2 83
 
7.1%
1 69
 
5.9%
4 34
 
2.9%
6 11
 
0.9%
5 9
 
0.8%
8 8
 
0.7%
7 4
 
0.3%

신고번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:41.848779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9285714
Min length4

Characters and Unicode

Total characters276
Distinct characters13
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

Unique56 ?
Unique (%)100.0%

Sample

1st row동래-17
2nd row동래-20
3rd row동래-19
4th row동래-11
5th row동래-21
ValueCountFrequency (%)
동래-17 1
 
1.8%
동래-20 1
 
1.8%
동래-62 1
 
1.8%
동래-28 1
 
1.8%
동래-49 1
 
1.8%
동래-51 1
 
1.8%
동래-53 1
 
1.8%
동래-54 1
 
1.8%
동래-55 1
 
1.8%
동래-56 1
 
1.8%
Other values (46) 46
82.1%
2024-03-14T20:37:42.934612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
20.3%
56
20.3%
- 56
20.3%
7 15
 
5.4%
3 15
 
5.4%
6 14
 
5.1%
2 13
 
4.7%
5 13
 
4.7%
4 11
 
4.0%
1 10
 
3.6%
Other values (3) 17
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
40.6%
Decimal Number 108
39.1%
Dash Punctuation 56
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 15
13.9%
3 15
13.9%
6 14
13.0%
2 13
12.0%
5 13
12.0%
4 11
10.2%
1 10
9.3%
0 6
 
5.6%
9 6
 
5.6%
8 5
 
4.6%
Other Letter
ValueCountFrequency (%)
56
50.0%
56
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 164
59.4%
Hangul 112
40.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
34.1%
7 15
 
9.1%
3 15
 
9.1%
6 14
 
8.5%
2 13
 
7.9%
5 13
 
7.9%
4 11
 
6.7%
1 10
 
6.1%
0 6
 
3.7%
9 6
 
3.7%
Hangul
ValueCountFrequency (%)
56
50.0%
56
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 164
59.4%
Hangul 112
40.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
56
50.0%
56
50.0%
ASCII
ValueCountFrequency (%)
- 56
34.1%
7 15
 
9.1%
3 15
 
9.1%
6 14
 
8.5%
2 13
 
7.9%
5 13
 
7.9%
4 11
 
6.7%
1 10
 
6.1%
0 6
 
3.7%
9 6
 
3.7%
Distinct44
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size576.0 B
Minimum2013-12-12 00:00:00
Maximum2023-08-21 00:00:00
2024-03-14T20:37:43.164799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:37:43.646199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

상호명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:44.495600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.9285714
Min length4

Characters and Unicode

Total characters556
Distinct characters155
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

Unique56 ?
Unique (%)100.0%

Sample

1st row동래유유병원
2nd row부산교통공사(수안역)
3rd row부산교통공사(미남역)
4th row의료법인 동영의료재단 상록병원
5th row의료법인윤재의료재단 금정요양병원
ValueCountFrequency (%)
의료법인 6
 
6.9%
동래점 3
 
3.4%
드라마 2
 
2.3%
좋은날에 2
 
2.3%
동래아동병원 1
 
1.1%
동래성모병원 1
 
1.1%
늘봄실버요양센터 1
 
1.1%
부산해양자연사박물관 1
 
1.1%
참사랑요양병원 1
 
1.1%
의)은빛의료재단 1
 
1.1%
Other values (68) 68
78.2%
2024-03-14T20:37:45.605115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
7.0%
32
 
5.8%
31
 
5.6%
25
 
4.5%
20
 
3.6%
19
 
3.4%
17
 
3.1%
14
 
2.5%
14
 
2.5%
) 12
 
2.2%
Other values (145) 333
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
88.7%
Space Separator 31
 
5.6%
Close Punctuation 12
 
2.2%
Open Punctuation 12
 
2.2%
Uppercase Letter 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
7.9%
32
 
6.5%
25
 
5.1%
20
 
4.1%
19
 
3.9%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (140) 289
58.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
50.0%
P 4
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
88.7%
Common 55
 
9.9%
Latin 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
7.9%
32
 
6.5%
25
 
5.1%
20
 
4.1%
19
 
3.9%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (140) 289
58.6%
Common
ValueCountFrequency (%)
31
56.4%
) 12
 
21.8%
( 12
 
21.8%
Latin
ValueCountFrequency (%)
C 4
50.0%
P 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
88.7%
ASCII 63
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
39
 
7.9%
32
 
6.5%
25
 
5.1%
20
 
4.1%
19
 
3.9%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (140) 289
58.6%
ASCII
ValueCountFrequency (%)
31
49.2%
) 12
 
19.0%
( 12
 
19.0%
C 4
 
6.3%
P 4
 
6.3%
Distinct8
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size576.0 B
의료기관
34 
대규모점포
노인요양시설
인터넷컴퓨터게임시설
어린이집
 
3
Other values (3)

Length

Max length10
Median length4
Mean length4.9821429
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row의료기관
2nd row지하역사
3rd row지하역사
4th row의료기관
5th row의료기관

Common Values

ValueCountFrequency (%)
의료기관 34
60.7%
대규모점포 5
 
8.9%
노인요양시설 5
 
8.9%
인터넷컴퓨터게임시설 4
 
7.1%
어린이집 3
 
5.4%
지하역사 2
 
3.6%
박물관 및 미술관 2
 
3.6%
목욕장업의 영업시설 1
 
1.8%

Length

2024-03-14T20:37:45.838953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:37:46.096241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기관 34
55.7%
대규모점포 5
 
8.2%
노인요양시설 5
 
8.2%
인터넷컴퓨터게임시설 4
 
6.6%
어린이집 3
 
4.9%
지하역사 2
 
3.3%
박물관 2
 
3.3%
2
 
3.3%
미술관 2
 
3.3%
목욕장업의 1
 
1.6%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:46.967037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.8928571
Min length1

Characters and Unicode

Total characters498
Distinct characters153
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)92.9%

Sample

1st row동래유유요양병원(웅진코웨이)
2nd row부산교통공사(수안역)
3rd row부산교통공사(미남역)
4th row상록병원
5th row금정요양병원
ValueCountFrequency (%)
웅진코웨이 2
 
2.7%
드라마 2
 
2.7%
정수기백화점 2
 
2.7%
lg 2
 
2.7%
좋은날에 2
 
2.7%
동래점 2
 
2.7%
동래유유요양병원(웅진코웨이 1
 
1.4%
enex 1
 
1.4%
정수기 1
 
1.4%
부산힘찬병원 1
 
1.4%
Other values (57) 57
78.1%
2024-03-14T20:37:48.194835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
6.2%
23
 
4.6%
21
 
4.2%
( 21
 
4.2%
) 21
 
4.2%
14
 
2.8%
12
 
2.4%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (143) 321
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
83.5%
Space Separator 23
 
4.6%
Open Punctuation 21
 
4.2%
Close Punctuation 21
 
4.2%
Uppercase Letter 16
 
3.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
7.5%
21
 
5.0%
14
 
3.4%
12
 
2.9%
12
 
2.9%
11
 
2.6%
11
 
2.6%
9
 
2.2%
9
 
2.2%
9
 
2.2%
Other values (130) 277
66.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
O 3
18.8%
E 2
12.5%
L 2
12.5%
G 2
12.5%
N 1
 
6.2%
X 1
 
6.2%
K 1
 
6.2%
T 1
 
6.2%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
83.5%
Common 65
 
13.1%
Latin 17
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
7.5%
21
 
5.0%
14
 
3.4%
12
 
2.9%
12
 
2.9%
11
 
2.6%
11
 
2.6%
9
 
2.2%
9
 
2.2%
9
 
2.2%
Other values (130) 277
66.6%
Latin
ValueCountFrequency (%)
S 3
17.6%
O 3
17.6%
E 2
11.8%
L 2
11.8%
G 2
11.8%
N 1
 
5.9%
X 1
 
5.9%
K 1
 
5.9%
T 1
 
5.9%
k 1
 
5.9%
Common
ValueCountFrequency (%)
23
35.4%
( 21
32.3%
) 21
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
83.5%
ASCII 82
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
7.5%
21
 
5.0%
14
 
3.4%
12
 
2.9%
12
 
2.9%
11
 
2.6%
11
 
2.6%
9
 
2.2%
9
 
2.2%
9
 
2.2%
Other values (130) 277
66.6%
ASCII
ValueCountFrequency (%)
23
28.0%
( 21
25.6%
) 21
25.6%
S 3
 
3.7%
O 3
 
3.7%
E 2
 
2.4%
L 2
 
2.4%
G 2
 
2.4%
N 1
 
1.2%
X 1
 
1.2%
Other values (3) 3
 
3.7%

설치구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size576.0 B
정수기
48 
복합
냉온수기
 
3

Length

Max length4
Median length3
Mean length2.9642857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row냉온수기
2nd row정수기
3rd row정수기
4th row정수기
5th row정수기

Common Values

ValueCountFrequency (%)
정수기 48
85.7%
복합 5
 
8.9%
냉온수기 3
 
5.4%

Length

2024-03-14T20:37:48.640264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:37:48.985636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정수기 48
85.7%
복합 5
 
8.9%
냉온수기 3
 
5.4%

총 설치대수
Real number (ℝ)

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2678571
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size632.0 B
2024-03-14T20:37:49.286807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile21.5
Maximum36
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.4793127
Coefficient of variation (CV)0.78367497
Kurtosis6.9245788
Mean8.2678571
Median Absolute Deviation (MAD)2
Skewness2.2538329
Sum463
Variance41.981494
MonotonicityNot monotonic
2024-03-14T20:37:49.672120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6 7
12.5%
8 7
12.5%
10 6
10.7%
9 6
10.7%
1 5
8.9%
2 5
8.9%
7 4
7.1%
5 3
 
5.4%
11 3
 
5.4%
12 2
 
3.6%
Other values (7) 8
14.3%
ValueCountFrequency (%)
1 5
8.9%
2 5
8.9%
3 1
 
1.8%
4 2
 
3.6%
5 3
5.4%
6 7
12.5%
7 4
7.1%
8 7
12.5%
9 6
10.7%
10 6
10.7%
ValueCountFrequency (%)
36 1
 
1.8%
29 1
 
1.8%
23 1
 
1.8%
21 1
 
1.8%
16 1
 
1.8%
12 2
 
3.6%
11 3
5.4%
10 6
10.7%
9 6
10.7%
8 7
12.5%

전화번호
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing5
Missing (%)8.9%
Memory size576.0 B
2024-03-14T20:37:50.583633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.784314
Min length1

Characters and Unicode

Total characters601
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row051-555-7588
2nd row051-640-7266
3rd row051-640-7266
4th row051-555-8009
5th row051-581-5757
ValueCountFrequency (%)
051-640-7266 2
 
4.0%
051-714-0000 1
 
2.0%
051-553-1472 1
 
2.0%
051-503-2111 1
 
2.0%
051-550-9489 1
 
2.0%
051-559-0138 1
 
2.0%
051-931-7000 1
 
2.0%
051-715-0500 1
 
2.0%
051-507-7714 1
 
2.0%
051-553-0050 1
 
2.0%
Other values (39) 39
78.0%
2024-03-14T20:37:51.758911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 150
25.0%
0 118
19.6%
- 100
16.6%
1 79
13.1%
7 31
 
5.2%
2 26
 
4.3%
8 23
 
3.8%
3 21
 
3.5%
9 18
 
3.0%
6 17
 
2.8%
Other values (2) 18
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.2%
Dash Punctuation 100
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 150
30.0%
0 118
23.6%
1 79
15.8%
7 31
 
6.2%
2 26
 
5.2%
8 23
 
4.6%
3 21
 
4.2%
9 18
 
3.6%
6 17
 
3.4%
4 17
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 150
25.0%
0 118
19.6%
- 100
16.6%
1 79
13.1%
7 31
 
5.2%
2 26
 
4.3%
8 23
 
3.8%
3 21
 
3.5%
9 18
 
3.0%
6 17
 
2.8%
Other values (2) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 150
25.0%
0 118
19.6%
- 100
16.6%
1 79
13.1%
7 31
 
5.2%
2 26
 
4.3%
8 23
 
3.8%
3 21
 
3.5%
9 18
 
3.0%
6 17
 
2.8%
Other values (2) 18
 
3.0%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:52.632874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length27.285714
Min length22

Characters and Unicode

Total characters1528
Distinct characters116
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

Unique52 ?
Unique (%)92.9%

Sample

1st row부산광역시 동래구 금강로 64 (온천동)
2nd row부산광역시 동래구 충렬대로 지하 223 (수안동)
3rd row부산광역시 동래구 아시아드대로 지하 232 (사직동)
4th row부산광역시 동래구 충렬대로 426 의료법인동영의료재단상록병원 (안락동)
5th row부산광역시 동래구 금강로 141 (온천동)
ValueCountFrequency (%)
부산광역시 56
18.5%
동래구 56
18.5%
온천동 25
 
8.3%
충렬대로 19
 
6.3%
안락동 11
 
3.6%
명륜동 8
 
2.6%
중앙대로 5
 
1.7%
명장동 4
 
1.3%
1523 3
 
1.0%
수안동 3
 
1.0%
Other values (93) 113
37.3%
2024-03-14T20:37:53.977427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
17.0%
116
 
7.6%
62
 
4.1%
57
 
3.7%
57
 
3.7%
57
 
3.7%
56
 
3.7%
) 56
 
3.7%
56
 
3.7%
( 56
 
3.7%
Other values (106) 695
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
62.6%
Space Separator 260
 
17.0%
Decimal Number 187
 
12.2%
Close Punctuation 56
 
3.7%
Open Punctuation 56
 
3.7%
Uppercase Letter 8
 
0.5%
Dash Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
12.1%
62
 
6.5%
57
 
6.0%
57
 
6.0%
57
 
6.0%
56
 
5.9%
56
 
5.9%
56
 
5.9%
56
 
5.9%
31
 
3.2%
Other values (85) 353
36.9%
Decimal Number
ValueCountFrequency (%)
1 34
18.2%
2 32
17.1%
3 25
13.4%
4 18
9.6%
9 15
8.0%
8 14
7.5%
7 14
7.5%
5 13
 
7.0%
6 11
 
5.9%
0 11
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
62.6%
Common 563
36.8%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
12.1%
62
 
6.5%
57
 
6.0%
57
 
6.0%
57
 
6.0%
56
 
5.9%
56
 
5.9%
56
 
5.9%
56
 
5.9%
31
 
3.2%
Other values (85) 353
36.9%
Common
ValueCountFrequency (%)
260
46.2%
) 56
 
9.9%
( 56
 
9.9%
1 34
 
6.0%
2 32
 
5.7%
3 25
 
4.4%
4 18
 
3.2%
9 15
 
2.7%
8 14
 
2.5%
7 14
 
2.5%
Other values (5) 39
 
6.9%
Latin
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
62.6%
ASCII 571
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
45.5%
) 56
 
9.8%
( 56
 
9.8%
1 34
 
6.0%
2 32
 
5.6%
3 25
 
4.4%
4 18
 
3.2%
9 15
 
2.6%
8 14
 
2.5%
7 14
 
2.5%
Other values (11) 47
 
8.2%
Hangul
ValueCountFrequency (%)
116
 
12.1%
62
 
6.5%
57
 
6.0%
57
 
6.0%
57
 
6.0%
56
 
5.9%
56
 
5.9%
56
 
5.9%
56
 
5.9%
31
 
3.2%
Other values (85) 353
36.9%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-14T20:37:54.917946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length22.321429
Min length16

Characters and Unicode

Total characters1250
Distinct characters88
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

Unique52 ?
Unique (%)92.9%

Sample

1st row부산광역시 동래구 온천동 442-3
2nd row부산광역시 동래구 수안동 지하(수안역)
3rd row부산광역시 동래구 온천동 지하(미남역)
4th row부산광역시 동래구 안락동 595-9 의료법인동영의료재단상록병원
5th row부산광역시 동래구 온천동 93-3
ValueCountFrequency (%)
부산광역시 56
22.9%
동래구 56
22.9%
온천동 26
 
10.6%
안락동 12
 
4.9%
명륜동 8
 
3.3%
명장동 4
 
1.6%
수안동 3
 
1.2%
153-8 3
 
1.2%
사직동 2
 
0.8%
드라마 2
 
0.8%
Other values (67) 73
29.8%
2024-03-14T20:37:56.326411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
19.5%
115
 
9.2%
59
 
4.7%
58
 
4.6%
57
 
4.6%
56
 
4.5%
56
 
4.5%
56
 
4.5%
56
 
4.5%
- 48
 
3.8%
Other values (78) 445
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
57.4%
Space Separator 244
 
19.5%
Decimal Number 228
 
18.2%
Dash Punctuation 48
 
3.8%
Uppercase Letter 8
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
16.0%
59
 
8.2%
58
 
8.1%
57
 
7.9%
56
 
7.8%
56
 
7.8%
56
 
7.8%
56
 
7.8%
28
 
3.9%
27
 
3.8%
Other values (58) 150
20.9%
Decimal Number
ValueCountFrequency (%)
1 41
18.0%
2 33
14.5%
4 31
13.6%
3 29
12.7%
5 23
10.1%
6 18
7.9%
9 15
 
6.6%
8 14
 
6.1%
7 13
 
5.7%
0 11
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%
Space Separator
ValueCountFrequency (%)
244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
57.4%
Common 524
41.9%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
16.0%
59
 
8.2%
58
 
8.1%
57
 
7.9%
56
 
7.8%
56
 
7.8%
56
 
7.8%
56
 
7.8%
28
 
3.9%
27
 
3.8%
Other values (58) 150
20.9%
Common
ValueCountFrequency (%)
244
46.6%
- 48
 
9.2%
1 41
 
7.8%
2 33
 
6.3%
4 31
 
5.9%
3 29
 
5.5%
5 23
 
4.4%
6 18
 
3.4%
9 15
 
2.9%
8 14
 
2.7%
Other values (4) 28
 
5.3%
Latin
ValueCountFrequency (%)
K 2
25.0%
S 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
57.4%
ASCII 532
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
45.9%
- 48
 
9.0%
1 41
 
7.7%
2 33
 
6.2%
4 31
 
5.8%
3 29
 
5.5%
5 23
 
4.3%
6 18
 
3.4%
9 15
 
2.8%
8 14
 
2.6%
Other values (10) 36
 
6.8%
Hangul
ValueCountFrequency (%)
115
16.0%
59
 
8.2%
58
 
8.1%
57
 
7.9%
56
 
7.8%
56
 
7.8%
56
 
7.8%
56
 
7.8%
28
 
3.9%
27
 
3.8%
Other values (58) 150
20.9%

휴폐업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size576.0 B
정상
56 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 56
100.0%

Length

2024-03-14T20:37:56.735219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:37:57.027107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 56
100.0%

Interactions

2024-03-14T20:37:38.130307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:37:57.215814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치관리번호신고번호신고일자상호명다중이용시설구분관리주체설치구분총 설치대수전화번호사업장소재지(도로명)사업장소재지(지번)
설치관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
신고번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
신고일자1.0001.0001.0001.0000.9910.9130.0000.0001.0000.9610.961
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
다중이용시설구분1.0001.0000.9911.0001.0000.0000.2030.3531.0000.9740.974
관리주체1.0001.0000.9131.0000.0001.0001.0000.0001.0000.9900.990
설치구분1.0001.0000.0001.0000.2031.0001.0000.6801.0000.0000.000
총 설치대수1.0001.0000.0001.0000.3530.0000.6801.0001.0000.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9890.989
사업장소재지(도로명)1.0001.0000.9611.0000.9740.9900.0000.0000.9891.0001.000
사업장소재지(지번)1.0001.0000.9611.0000.9740.9900.0000.0000.9891.0001.000
2024-03-14T20:37:57.436139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
다중이용시설구분설치구분
다중이용시설구분1.0000.115
설치구분0.1151.000
2024-03-14T20:37:57.574901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총 설치대수다중이용시설구분설치구분
총 설치대수1.0000.1440.360
다중이용시설구분0.1441.0000.115
설치구분0.3600.1151.000

Missing values

2024-03-14T20:37:38.506298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:37:39.045386image/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

설치관리번호신고번호신고일자상호명다중이용시설구분관리주체설치구분총 설치대수전화번호사업장소재지(도로명)사업장소재지(지번)휴폐업구분
03300000-33-2013-00004동래-172013-12-12동래유유병원의료기관동래유유요양병원(웅진코웨이)냉온수기10051-555-7588부산광역시 동래구 금강로 64 (온천동)부산광역시 동래구 온천동 442-3정상
13300000-33-2013-00006동래-202013-12-19부산교통공사(수안역)지하역사부산교통공사(수안역)정수기2051-640-7266부산광역시 동래구 충렬대로 지하 223 (수안동)부산광역시 동래구 수안동 지하(수안역)정상
23300000-33-2013-00007동래-192013-12-19부산교통공사(미남역)지하역사부산교통공사(미남역)정수기2051-640-7266부산광역시 동래구 아시아드대로 지하 232 (사직동)부산광역시 동래구 온천동 지하(미남역)정상
33300000-33-2014-00001동래-112014-01-10의료법인 동영의료재단 상록병원의료기관상록병원정수기9051-555-8009부산광역시 동래구 충렬대로 426 의료법인동영의료재단상록병원 (안락동)부산광역시 동래구 안락동 595-9 의료법인동영의료재단상록병원정상
43300000-33-2014-00002동래-212014-01-21의료법인윤재의료재단 금정요양병원의료기관금정요양병원정수기8051-581-5757부산광역시 동래구 금강로 141 (온천동)부산광역시 동래구 온천동 93-3정상
53300000-33-2014-00003동래-222014-02-18으뜸요양병원의료기관으뜸요양병원정수기10051-500-1500부산광역시 동래구 충렬대로 120 (온천동)부산광역시 동래구 온천동 1443-46정상
63300000-33-2014-00004동래-232022-04-29(주)호텔농심 허심청목욕장업의 영업시설(주)호텔농심정수기7051-550-2528부산광역시 동래구 온천장로107번길 32 (온천동)부산광역시 동래구 온천동 137정상
73300000-33-2014-00005동래-242014-02-21홈플러스(주) 동래점대규모점포(주)홈플러스 동래점((주)교원 렌탈)정수기5051-559-8125부산광역시 동래구 중앙대로 1523 (온천동)부산광역시 동래구 온천동 153-8정상
83300000-33-2014-00006동래-62014-02-28부산우리들병원의료기관부산우리들병원복합9051-559-2231부산광역시 동래구 중앙대로 1523 (온천동)부산광역시 동래구 온천동 153-8정상
93300000-33-2014-00008동래-272014-03-11성산현대요양병원의료기관성산현대요양병원정수기8051-555-6533부산광역시 동래구 시실로 12 (명륜동)부산광역시 동래구 명륜동 2-62정상
설치관리번호신고번호신고일자상호명다중이용시설구분관리주체설치구분총 설치대수전화번호사업장소재지(도로명)사업장소재지(지번)휴폐업구분
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473300000-33-2020-00002동래-692020-03-26나르샤병원의료기관시설관리과(코웨이)정수기11051-715-7878부산광역시 동래구 중앙대로1493번길 6 (온천동)부산광역시 동래구 온천동 160-44정상
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503300000-33-2021-00001동래-722021-02-22자드PC방 미남점인터넷컴퓨터게임시설미래정수사업정수기2<NA>부산광역시 동래구 석사북로 108 2층 (온천동)부산광역시 동래구 온천동 1248-2정상
513300000-33-2021-00002동래-732021-08-10주영어린이집어린이집쿠쿠정수기2051-523-0666부산광역시 동래구 시실로211번길 51 (명장동)부산광역시 동래구 명장동 302-1정상
523300000-33-2021-00003동래-742022-01-06우하요양원노인요양시설우하요양원(쿠쿠)냉온수기5051-558-2477부산광역시 동래구 명륜로112번길 60 우하요양원 (수안동)부산광역시 동래구 수안동 421-60 우하요양원정상
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