Overview

Dataset statistics

Number of variables12
Number of observations56
Missing cells4
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory99.4 B

Variable types

Text7
DateTime1
Categorical3
Numeric1

Dataset

Description부산광역시_동래구_냉온수기및정수기설치현황_20230117
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026233

Alerts

휴폐업구분 has constant value ""Constant
전화번호 has 4 (7.1%) missing valuesMissing
설치관리번호 has unique valuesUnique
신고번호 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:50:39.025385
Analysis finished2023-12-10 16:50:40.288597
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치관리번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T01:50:40.491427image/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 row3300000-33-2013-00001
2nd row3300000-33-2013-00004
3rd row3300000-33-2013-00006
4th row3300000-33-2013-00007
5th row3300000-33-2014-00001
ValueCountFrequency (%)
3300000-33-2013-00001 1
 
1.8%
3300000-33-2013-00004 1
 
1.8%
3300000-33-2018-00002 1
 
1.8%
3300000-33-2014-00037 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%
Other values (46) 46
82.1%
2023-12-11T01:50:40.955048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 547
46.5%
3 239
20.3%
- 168
 
14.3%
2 82
 
7.0%
1 70
 
6.0%
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 82
 
8.1%
1 70
 
6.9%
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 82
 
7.0%
1 70
 
6.0%
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 82
 
7.0%
1 70
 
6.0%
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 size580.0 B
2023-12-11T01:50:41.266793image/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-14
2nd row동래-17
3rd row동래-20
4th row동래-19
5th row동래-11
ValueCountFrequency (%)
동래-14 1
 
1.8%
동래-17 1
 
1.8%
동래-60 1
 
1.8%
동래-26 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%
Other values (46) 46
82.1%
2023-12-11T01:50:41.671534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
20.3%
56
20.3%
- 56
20.3%
3 15
 
5.4%
6 14
 
5.1%
7 13
 
4.7%
2 13
 
4.7%
5 13
 
4.7%
4 12
 
4.3%
1 11
 
4.0%
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 (%)
3 15
13.9%
6 14
13.0%
7 13
12.0%
2 13
12.0%
5 13
12.0%
4 12
11.1%
1 11
10.2%
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%
3 15
 
9.1%
6 14
 
8.5%
7 13
 
7.9%
2 13
 
7.9%
5 13
 
7.9%
4 12
 
7.3%
1 11
 
6.7%
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%
3 15
 
9.1%
6 14
 
8.5%
7 13
 
7.9%
2 13
 
7.9%
5 13
 
7.9%
4 12
 
7.3%
1 11
 
6.7%
0 6
 
3.7%
9 6
 
3.7%
Distinct44
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2013-11-28 00:00:00
Maximum2022-08-23 00:00:00
2023-12-11T01:50:41.815536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:50:41.968370image/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 size580.0 B
2023-12-11T01:50:42.242705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.9642857
Min length4

Characters and Unicode

Total characters558
Distinct characters159
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 row사직레포츠대중탕
2nd row동래유유병원
3rd row부산교통공사(수안역)
4th row부산교통공사(미남역)
5th row의료법인 동영의료재단 상록병원
ValueCountFrequency (%)
의료법인 6
 
6.9%
동래점 3
 
3.4%
좋은날에 2
 
2.3%
드라마 2
 
2.3%
사직레포츠대중탕 1
 
1.1%
사직요양병원 1
 
1.1%
부산해양자연사박물관 1
 
1.1%
참사랑요양병원 1
 
1.1%
의)은빛의료재단 1
 
1.1%
미남동의요양병원 1
 
1.1%
Other values (68) 68
78.2%
2023-12-11T01:50:42.619276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
7.0%
32
 
5.7%
31
 
5.6%
25
 
4.5%
20
 
3.6%
19
 
3.4%
17
 
3.0%
14
 
2.5%
14
 
2.5%
12
 
2.2%
Other values (149) 335
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
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
 
4.0%
19
 
3.8%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (144) 291
58.8%
Uppercase Letter
ValueCountFrequency (%)
P 4
50.0%
C 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 495
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
 
4.0%
19
 
3.8%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (144) 291
58.8%
Common
ValueCountFrequency (%)
31
56.4%
) 12
 
21.8%
( 12
 
21.8%
Latin
ValueCountFrequency (%)
P 4
50.0%
C 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
88.7%
ASCII 63
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
39
 
7.9%
32
 
6.5%
25
 
5.1%
20
 
4.0%
19
 
3.8%
17
 
3.4%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (144) 291
58.8%
ASCII
ValueCountFrequency (%)
31
49.2%
) 12
 
19.0%
( 12
 
19.0%
P 4
 
6.3%
C 4
 
6.3%
Distinct9
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
의료기관
34 
대규모점포
노인요양시설
인터넷컴퓨터게임시설
지하역사
 
2
Other values (4)

Length

Max length10
Median length4
Mean length4.9642857
Min length3

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

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

Length

2023-12-11T01:50:42.778501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:50:42.903196image/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%
지하역사 2
 
3.3%
박물관 2
 
3.3%
2
 
3.3%
미술관 2
 
3.3%
어린이집 2
 
3.3%
목욕장 1
 
1.6%
Other values (2) 2
 
3.3%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T01:50:43.203213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9
Min length1

Characters and Unicode

Total characters504
Distinct characters158
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 row사직레포츠대중탕 김대진
2nd row동래유유요양병원(웅진코웨이)
3rd row부산교통공사(수안역)
4th row부산교통공사(미남역)
5th row상록병원
ValueCountFrequency (%)
웅진코웨이 2
 
2.7%
동래점 2
 
2.7%
드라마 2
 
2.7%
좋은날에 2
 
2.7%
lg 2
 
2.7%
정수기백화점 2
 
2.7%
사직레포츠대중탕 1
 
1.4%
김대진 1
 
1.4%
나노워터텍 1
 
1.4%
otoos 1
 
1.4%
Other values (58) 58
78.4%
2023-12-11T01:50:43.989735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
6.2%
24
 
4.8%
21
 
4.2%
) 21
 
4.2%
( 21
 
4.2%
14
 
2.8%
12
 
2.4%
12
 
2.4%
11
 
2.2%
10
 
2.0%
Other values (148) 327
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 421
83.5%
Space Separator 24
 
4.8%
Close Punctuation 21
 
4.2%
Open Punctuation 21
 
4.2%
Uppercase Letter 16
 
3.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
7.4%
21
 
5.0%
14
 
3.3%
12
 
2.9%
12
 
2.9%
11
 
2.6%
10
 
2.4%
9
 
2.1%
9
 
2.1%
9
 
2.1%
Other values (135) 283
67.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
O 3
18.8%
L 2
12.5%
E 2
12.5%
G 2
12.5%
T 1
 
6.2%
K 1
 
6.2%
N 1
 
6.2%
X 1
 
6.2%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 421
83.5%
Common 66
 
13.1%
Latin 17
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
7.4%
21
 
5.0%
14
 
3.3%
12
 
2.9%
12
 
2.9%
11
 
2.6%
10
 
2.4%
9
 
2.1%
9
 
2.1%
9
 
2.1%
Other values (135) 283
67.2%
Latin
ValueCountFrequency (%)
S 3
17.6%
O 3
17.6%
L 2
11.8%
E 2
11.8%
G 2
11.8%
T 1
 
5.9%
K 1
 
5.9%
N 1
 
5.9%
X 1
 
5.9%
k 1
 
5.9%
Common
ValueCountFrequency (%)
24
36.4%
) 21
31.8%
( 21
31.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 421
83.5%
ASCII 83
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
7.4%
21
 
5.0%
14
 
3.3%
12
 
2.9%
12
 
2.9%
11
 
2.6%
10
 
2.4%
9
 
2.1%
9
 
2.1%
9
 
2.1%
Other values (135) 283
67.2%
ASCII
ValueCountFrequency (%)
24
28.9%
) 21
25.3%
( 21
25.3%
S 3
 
3.6%
O 3
 
3.6%
L 2
 
2.4%
E 2
 
2.4%
G 2
 
2.4%
T 1
 
1.2%
K 1
 
1.2%
Other values (3) 3
 
3.6%

설치구분
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
정수기
47 
복합
냉온수기
 
4

Length

Max length4
Median length3
Mean length2.9821429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정수기 47
83.9%
복합 5
 
8.9%
냉온수기 4
 
7.1%

Length

2023-12-11T01:50:44.141860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:50:44.266278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정수기 47
83.9%
복합 5
 
8.9%
냉온수기 4
 
7.1%

총 설치대수
Real number (ℝ)

Distinct17
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3035714
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T01:50:44.360682image/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 deviation6.4495797
Coefficient of variation (CV)0.77672357
Kurtosis7.0433211
Mean8.3035714
Median Absolute Deviation (MAD)2
Skewness2.2797625
Sum465
Variance41.597078
MonotonicityNot monotonic
2023-12-11T01:50:44.470223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
8 7
12.5%
6 7
12.5%
9 6
10.7%
10 6
10.7%
1 5
8.9%
2 4
7.1%
7 4
7.1%
4 3
 
5.4%
5 3
 
5.4%
11 3
 
5.4%
Other values (7) 8
14.3%
ValueCountFrequency (%)
1 5
8.9%
2 4
7.1%
3 1
 
1.8%
4 3
5.4%
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 

Distinct51
Distinct (%)98.1%
Missing4
Missing (%)7.1%
Memory size580.0 B
2023-12-11T01:50:44.697427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.730769
Min length1

Characters and Unicode

Total characters610
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

Unique50 ?
Unique (%)96.2%

Sample

1st row051-504-4390
2nd row051-555-7588
3rd row051-640-7266
4th row051-640-7266
5th row051-555-8009
ValueCountFrequency (%)
051-640-7266 2
 
3.9%
051-522-7575 1
 
2.0%
051-504-4390 1
 
2.0%
051-552-7575 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 (40) 40
78.4%
2023-12-11T01:50:45.046585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 151
24.8%
0 118
19.3%
- 101
16.6%
1 80
13.1%
7 31
 
5.1%
2 27
 
4.4%
8 24
 
3.9%
3 21
 
3.4%
4 20
 
3.3%
9 19
 
3.1%
Other values (2) 18
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 508
83.3%
Dash Punctuation 101
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 151
29.7%
0 118
23.2%
1 80
15.7%
7 31
 
6.1%
2 27
 
5.3%
8 24
 
4.7%
3 21
 
4.1%
4 20
 
3.9%
9 19
 
3.7%
6 17
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 151
24.8%
0 118
19.3%
- 101
16.6%
1 80
13.1%
7 31
 
5.1%
2 27
 
4.4%
8 24
 
3.9%
3 21
 
3.4%
4 20
 
3.3%
9 19
 
3.1%
Other values (2) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 151
24.8%
0 118
19.3%
- 101
16.6%
1 80
13.1%
7 31
 
5.1%
2 27
 
4.4%
8 24
 
3.9%
3 21
 
3.4%
4 20
 
3.3%
9 19
 
3.1%
Other values (2) 18
 
3.0%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T01:50:45.401553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length27.125
Min length22

Characters and Unicode

Total characters1519
Distinct characters111
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 석사로17번길 6 (사직동)
2nd row부산광역시 동래구 금강로 64 (온천동)
3rd row부산광역시 동래구 충렬대로 지하 223 (수안동)
4th row부산광역시 동래구 아시아드대로 지하 232 (사직동)
5th row부산광역시 동래구 충렬대로 426 의료법인동영의료재단상록병원 (안락동)
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%
사직동 4
 
1.3%
아시아드대로 3
 
1.0%
낙민동 3
 
1.0%
Other values (89) 113
37.3%
2023-12-11T01:50:45.933379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
 
17.1%
116
 
7.6%
62
 
4.1%
57
 
3.8%
57
 
3.8%
57
 
3.8%
56
 
3.7%
) 56
 
3.7%
56
 
3.7%
( 56
 
3.7%
Other values (101) 687
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 951
62.6%
Space Separator 259
 
17.1%
Decimal Number 186
 
12.2%
Close Punctuation 56
 
3.7%
Open Punctuation 56
 
3.7%
Uppercase Letter 8
 
0.5%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
12.2%
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
 
3.3%
Other values (80) 347
36.5%
Decimal Number
ValueCountFrequency (%)
1 34
18.3%
2 32
17.2%
3 26
14.0%
4 19
10.2%
7 15
8.1%
8 14
7.5%
9 12
 
6.5%
6 12
 
6.5%
0 11
 
5.9%
5 11
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
K 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%
Space Separator
ValueCountFrequency (%)
259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 951
62.6%
Common 560
36.9%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
12.2%
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
 
3.3%
Other values (80) 347
36.5%
Common
ValueCountFrequency (%)
259
46.2%
) 56
 
10.0%
( 56
 
10.0%
1 34
 
6.1%
2 32
 
5.7%
3 26
 
4.6%
4 19
 
3.4%
7 15
 
2.7%
8 14
 
2.5%
9 12
 
2.1%
Other values (5) 37
 
6.6%
Latin
ValueCountFrequency (%)
S 2
25.0%
K 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 951
62.6%
ASCII 568
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
45.6%
) 56
 
9.9%
( 56
 
9.9%
1 34
 
6.0%
2 32
 
5.6%
3 26
 
4.6%
4 19
 
3.3%
7 15
 
2.6%
8 14
 
2.5%
9 12
 
2.1%
Other values (11) 45
 
7.9%
Hangul
ValueCountFrequency (%)
116
 
12.2%
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
 
3.3%
Other values (80) 347
36.5%
Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T01:50:46.333363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length22.214286
Min length16

Characters and Unicode

Total characters1244
Distinct characters83
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 사직동 50-19
2nd row부산광역시 동래구 온천동 442-3
3rd row부산광역시 동래구 수안동 지하(수안역)
4th row부산광역시 동래구 온천동 지하(미남역)
5th row부산광역시 동래구 안락동 595-9 의료법인동영의료재단상록병원
ValueCountFrequency (%)
부산광역시 56
23.0%
동래구 56
23.0%
온천동 26
 
10.7%
안락동 11
 
4.5%
명륜동 8
 
3.3%
153-8 3
 
1.2%
사직동 3
 
1.2%
낙민동 3
 
1.2%
명장동 3
 
1.2%
수안동 3
 
1.2%
Other values (66) 71
29.2%
2023-12-11T01:50:46.912532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
19.5%
115
 
9.2%
58
 
4.7%
58
 
4.7%
57
 
4.6%
56
 
4.5%
56
 
4.5%
56
 
4.5%
56
 
4.5%
- 49
 
3.9%
Other values (73) 440
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
57.2%
Space Separator 243
 
19.5%
Decimal Number 229
 
18.4%
Dash Punctuation 49
 
3.9%
Uppercase Letter 8
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
16.2%
58
8.2%
58
8.2%
57
 
8.0%
56
 
7.9%
56
 
7.9%
56
 
7.9%
56
 
7.9%
28
 
3.9%
27
 
3.8%
Other values (53) 144
20.3%
Decimal Number
ValueCountFrequency (%)
1 41
17.9%
2 32
14.0%
4 30
13.1%
3 29
12.7%
5 24
10.5%
6 18
7.9%
9 16
 
7.0%
8 14
 
6.1%
7 13
 
5.7%
0 12
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
K 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
57.2%
Common 525
42.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
16.2%
58
8.2%
58
8.2%
57
 
8.0%
56
 
7.9%
56
 
7.9%
56
 
7.9%
56
 
7.9%
28
 
3.9%
27
 
3.8%
Other values (53) 144
20.3%
Common
ValueCountFrequency (%)
243
46.3%
- 49
 
9.3%
1 41
 
7.8%
2 32
 
6.1%
4 30
 
5.7%
3 29
 
5.5%
5 24
 
4.6%
6 18
 
3.4%
9 16
 
3.0%
8 14
 
2.7%
Other values (4) 29
 
5.5%
Latin
ValueCountFrequency (%)
S 2
25.0%
K 2
25.0%
H 1
12.5%
U 1
12.5%
B 1
12.5%
Y 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
57.2%
ASCII 533
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
45.6%
- 49
 
9.2%
1 41
 
7.7%
2 32
 
6.0%
4 30
 
5.6%
3 29
 
5.4%
5 24
 
4.5%
6 18
 
3.4%
9 16
 
3.0%
8 14
 
2.6%
Other values (10) 37
 
6.9%
Hangul
ValueCountFrequency (%)
115
16.2%
58
8.2%
58
8.2%
57
 
8.0%
56
 
7.9%
56
 
7.9%
56
 
7.9%
56
 
7.9%
28
 
3.9%
27
 
3.8%
Other values (53) 144
20.3%

휴폐업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 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

2023-12-11T01:50:47.112103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:50:47.256366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 56
100.0%

Interactions

2023-12-11T01:50:39.836908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:50:47.369631image/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
신고일자1.0001.0001.0001.0000.9920.9130.0000.0001.0000.9610.961
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
다중이용시설구분1.0001.0000.9921.0001.0000.0000.5890.2711.0000.9890.989
관리주체1.0001.0000.9131.0000.0001.0001.0000.0001.0000.9900.990
설치구분1.0001.0000.0001.0000.5891.0001.0000.6521.0000.0000.000
총 설치대수1.0001.0000.0001.0000.2710.0000.6521.0001.0000.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9900.990
사업장소재지(도로명)1.0001.0000.9611.0000.9890.9900.0000.0000.9901.0001.000
사업장소재지(지번)1.0001.0000.9611.0000.9890.9900.0000.0000.9901.0001.000
2023-12-11T01:50:47.519876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치구분다중이용시설구분
설치구분1.0000.295
다중이용시설구분0.2951.000
2023-12-11T01:50:47.673648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총 설치대수다중이용시설구분설치구분
총 설치대수1.0000.0000.343
다중이용시설구분0.0001.0000.295
설치구분0.3430.2951.000

Missing values

2023-12-11T01:50:39.992027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:50:40.187072image/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
03300000-33-2013-00001동래-142013-11-28사직레포츠대중탕목욕장사직레포츠대중탕 김대진냉온수기4051-504-4390부산광역시 동래구 석사로17번길 6 (사직동)부산광역시 동래구 사직동 50-19정상
13300000-33-2013-00004동래-172013-12-12동래유유병원의료기관동래유유요양병원(웅진코웨이)냉온수기10051-555-7588부산광역시 동래구 금강로 64 (온천동)부산광역시 동래구 온천동 442-3정상
23300000-33-2013-00006동래-202013-12-19부산교통공사(수안역)지하역사부산교통공사(수안역)정수기2051-640-7266부산광역시 동래구 충렬대로 지하 223 (수안동)부산광역시 동래구 수안동 지하(수안역)정상
33300000-33-2013-00007동래-192013-12-19부산교통공사(미남역)지하역사부산교통공사(미남역)정수기2051-640-7266부산광역시 동래구 아시아드대로 지하 232 (사직동)부산광역시 동래구 온천동 지하(미남역)정상
43300000-33-2014-00001동래-112014-01-10의료법인 동영의료재단 상록병원의료기관상록병원정수기9051-555-8009부산광역시 동래구 충렬대로 426 의료법인동영의료재단상록병원 (안락동)부산광역시 동래구 안락동 595-9 의료법인동영의료재단상록병원정상
53300000-33-2014-00002동래-212014-01-21의료법인윤재의료재단 금정요양병원의료기관금정요양병원정수기8051-581-5757부산광역시 동래구 금강로 141 (온천동)부산광역시 동래구 온천동 93-3정상
63300000-33-2014-00003동래-222014-02-18으뜸요양병원의료기관으뜸요양병원정수기10051-500-1500부산광역시 동래구 충렬대로 120 (온천동)부산광역시 동래구 온천동 1443-46정상
73300000-33-2014-00004동래-232022-04-29(주)호텔농심 허심청목욕장업의 영업시설(주)호텔농심정수기7051-550-2528부산광역시 동래구 온천장로107번길 32 (온천동)부산광역시 동래구 온천동 137정상
83300000-33-2014-00005동래-242014-02-21홈플러스(주) 동래점대규모점포(주)홈플러스 동래점((주)교원 렌탈)정수기5051-559-8125부산광역시 동래구 중앙대로 1523 (온천동)부산광역시 동래구 온천동 153-8정상
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