Overview

Dataset statistics

Number of variables14
Number of observations71
Missing cells62
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory117.8 B

Variable types

Categorical7
Text5
Numeric2

Dataset

Description울산광역시 소방서·안전센터의 시명, 구·군명, 동명, 도로명 등의 주소 정보 및 연락처 정보, 관할구역 정보, 위치 정보를 데이터로 제공
Author울산광역시
URLhttps://www.data.go.kr/data/15109127/fileData.do

Alerts

시명 has constant value ""Constant
지하 여부 has constant value ""Constant
동명 is highly overall correlated with 서센터위치정보(X) and 5 other fieldsHigh correlation
번지 is highly overall correlated with 서센터위치정보(X) and 5 other fieldsHigh correlation
서센터위치정보(X) is highly overall correlated with 구군명 and 3 other fieldsHigh correlation
서센터위치정보(Y) is highly overall correlated with 소방서명 and 3 other fieldsHigh correlation
소방서명 is highly overall correlated with 서센터위치정보(Y) and 3 other fieldsHigh correlation
구군명 is highly overall correlated with 서센터위치정보(X) and 4 other fieldsHigh correlation
읍면동순번 is highly overall correlated with 서센터위치정보(X) and 2 other fieldsHigh correlation
리명 has 48 (67.6%) missing valuesMissing
도로명 has 12 (16.9%) missing valuesMissing
서센터전화번호 has 1 (1.4%) missing valuesMissing
관할구역 has 1 (1.4%) missing valuesMissing

Reproduction

Analysis started2024-03-14 19:03:45.200667
Analysis finished2024-03-14 19:03:48.688880
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소방서명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size696.0 B
울산소방본부
15 
남부소방서
11 
중부소방서
9 
북부소방서
9 
온산소방서
8 
Other values (6)
19 

Length

Max length9
Median length5
Mean length5.4647887
Min length5

Unique

Unique3 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
울산소방본부 15
21.1%
남부소방서 11
15.5%
중부소방서 9
12.7%
북부소방서 9
12.7%
온산소방서 8
11.3%
동부소방서 7
9.9%
울주소방서 7
9.9%
언양119안전센터 2
 
2.8%
울산안전체험관 1
 
1.4%
온산119안전센터 1
 
1.4%

Length

2024-03-15T04:03:48.857705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
울산소방본부 15
21.1%
남부소방서 11
15.5%
중부소방서 9
12.7%
북부소방서 9
12.7%
온산소방서 8
11.3%
동부소방서 7
9.9%
울주소방서 7
9.9%
언양119안전센터 2
 
2.8%
울산안전체험관 1
 
1.4%
온산119안전센터 1
 
1.4%

서센터명
Text

Distinct65
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size696.0 B
2024-03-15T04:03:49.774951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.5070423
Min length5

Characters and Unicode

Total characters533
Distinct characters85
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

Unique64 ?
Unique (%)90.1%

Sample

1st row울산소방본부
2nd row본부소방행정과
3rd row본부예방안전과
4th row119재난대응과
5th row항공구조구급대
ValueCountFrequency (%)
119재난대응과 7
 
9.6%
1 2
 
2.7%
농소119안전센터 1
 
1.4%
전하119안전센터 1
 
1.4%
북부소방서 1
 
1.4%
북부소방행정과 1
 
1.4%
북부예방안전과 1
 
1.4%
온산구조대 1
 
1.4%
북부구조대 1
 
1.4%
매곡119안전센터 1
 
1.4%
Other values (56) 56
76.7%
2024-03-15T04:03:51.120184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 76
 
14.3%
9 38
 
7.1%
전 35
 
6.6%
안 34
 
6.4%
센 26
 
4.9%
터 26
 
4.9%
과 22
 
4.1%
방 22
 
4.1%
부 20
 
3.8%
대 19
 
3.6%
Other values (75) 215
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
78.2%
Decimal Number 114
 
21.4%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 35
 
8.4%
안 34
 
8.2%
센 26
 
6.2%
터 26
 
6.2%
과 22
 
5.3%
방 22
 
5.3%
부 20
 
4.8%
대 19
 
4.6%
소 15
 
3.6%
조 10
 
2.4%
Other values (72) 188
45.1%
Decimal Number
ValueCountFrequency (%)
1 76
66.7%
9 38
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
78.2%
Common 116
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 35
 
8.4%
안 34
 
8.2%
센 26
 
6.2%
터 26
 
6.2%
과 22
 
5.3%
방 22
 
5.3%
부 20
 
4.8%
대 19
 
4.6%
소 15
 
3.6%
조 10
 
2.4%
Other values (72) 188
45.1%
Common
ValueCountFrequency (%)
1 76
65.5%
9 38
32.8%
2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
78.2%
ASCII 116
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 76
65.5%
9 38
32.8%
2
 
1.7%
Hangul
ValueCountFrequency (%)
전 35
 
8.4%
안 34
 
8.2%
센 26
 
6.2%
터 26
 
6.2%
과 22
 
5.3%
방 22
 
5.3%
부 20
 
4.8%
대 19
 
4.6%
소 15
 
3.6%
조 10
 
2.4%
Other values (72) 188
45.1%

시명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size696.0 B
울산광역시
71 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 71
100.0%

Length

2024-03-15T04:03:51.527096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:03:51.699471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 71
100.0%

구군명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size696.0 B
울주군
23 
남구
18 
북구
12 
중구
10 
동구
8 

Length

Max length3
Median length2
Mean length2.3239437
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구
2nd row남구
3rd row남구
4th row남구
5th row울주군

Common Values

ValueCountFrequency (%)
울주군 23
32.4%
남구 18
25.4%
북구 12
16.9%
중구 10
14.1%
동구 8
 
11.3%

Length

2024-03-15T04:03:51.877626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:03:52.140033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 23
32.4%
남구 18
25.4%
북구 12
16.9%
중구 10
14.1%
동구 8
 
11.3%

동명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Memory size696.0 B
온산읍
7 
유곡동
7 
방어동
6 
삼산동
6 
송정동
6 
Other values (26)
39 

Length

Max length3
Median length3
Mean length2.971831
Min length2

Unique

Unique19 ?
Unique (%)26.8%

Sample

1st row신정동
2nd row신정동
3rd row신정동
4th row신정동
5th row삼동면

Common Values

ValueCountFrequency (%)
온산읍 7
 
9.9%
유곡동 7
 
9.9%
방어동 6
 
8.5%
삼산동 6
 
8.5%
송정동 6
 
8.5%
삼남읍 5
 
7.0%
신정동 5
 
7.0%
삼동면 2
 
2.8%
정자동 2
 
2.8%
청량면 2
 
2.8%
Other values (21) 23
32.4%

Length

2024-03-15T04:03:52.544378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온산읍 7
 
9.9%
유곡동 7
 
9.9%
방어동 6
 
8.5%
삼산동 6
 
8.5%
송정동 6
 
8.5%
삼남읍 5
 
7.0%
신정동 5
 
7.0%
청량면 2
 
2.8%
상북면 2
 
2.8%
매암동 2
 
2.8%
Other values (21) 23
32.4%

리명
Text

MISSING 

Distinct13
Distinct (%)56.5%
Missing48
Missing (%)67.6%
Memory size696.0 B
2024-03-15T04:03:53.145425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row출강리
2nd row용암리
3rd row덕신리
4th row덕신리
5th row덕신리
ValueCountFrequency (%)
덕신리 6
26.1%
신화리 5
21.7%
길천리 2
 
8.7%
출강리 1
 
4.3%
용암리 1
 
4.3%
대안리 1
 
4.3%
곡천리 1
 
4.3%
화산리 1
 
4.3%
상남리 1
 
4.3%
신암리 1
 
4.3%
Other values (3) 3
13.0%
2024-03-15T04:03:54.182561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 23
33.3%
신 12
17.4%
덕 6
 
8.7%
화 6
 
8.7%
천 3
 
4.3%
길 2
 
2.9%
암 2
 
2.9%
상 1
 
1.4%
하 1
 
1.4%
보 1
 
1.4%
Other values (12) 12
17.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 23
33.3%
신 12
17.4%
덕 6
 
8.7%
화 6
 
8.7%
천 3
 
4.3%
길 2
 
2.9%
암 2
 
2.9%
상 1
 
1.4%
하 1
 
1.4%
보 1
 
1.4%
Other values (12) 12
17.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 23
33.3%
신 12
17.4%
덕 6
 
8.7%
화 6
 
8.7%
천 3
 
4.3%
길 2
 
2.9%
암 2
 
2.9%
상 1
 
1.4%
하 1
 
1.4%
보 1
 
1.4%
Other values (12) 12
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 23
33.3%
신 12
17.4%
덕 6
 
8.7%
화 6
 
8.7%
천 3
 
4.3%
길 2
 
2.9%
암 2
 
2.9%
상 1
 
1.4%
하 1
 
1.4%
보 1
 
1.4%
Other values (12) 12
17.4%

번지
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size696.0 B
267-3
7 
25
6 
541-1
6 
989-2
6 
1460-1
6 
Other values (30)
40 

Length

Max length7
Median length5
Mean length4.7323944
Min length2

Unique

Unique26 ?
Unique (%)36.6%

Sample

1st row646-4
2nd row646-4
3rd row646-4
4th row646-4
5th row377-3

Common Values

ValueCountFrequency (%)
267-3 7
 
9.9%
25 6
 
8.5%
541-1 6
 
8.5%
989-2 6
 
8.5%
1460-1 6
 
8.5%
646-4 5
 
7.0%
26-3 5
 
7.0%
산27 2
 
2.8%
360-55 2
 
2.8%
635-2 1
 
1.4%
Other values (25) 25
35.2%

Length

2024-03-15T04:03:54.615819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
267-3 7
 
9.9%
541-1 6
 
8.5%
989-2 6
 
8.5%
1460-1 6
 
8.5%
25 6
 
8.5%
646-4 5
 
7.0%
26-3 5
 
7.0%
산27 2
 
2.8%
360-55 2
 
2.8%
1031-1 1
 
1.4%
Other values (25) 25
35.2%

도로명
Text

MISSING 

Distinct32
Distinct (%)54.2%
Missing12
Missing (%)16.9%
Memory size696.0 B
2024-03-15T04:03:55.373691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length4.0169492
Min length3

Characters and Unicode

Total characters237
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)40.7%

Sample

1st row중앙로
2nd row중앙로
3rd row중앙로
4th row산현출강길
5th row중앙로
ValueCountFrequency (%)
종가로 6
 
10.2%
도호길 5
 
8.5%
덕신로 5
 
8.5%
삼산중로 5
 
8.5%
꽃바위2가길 5
 
8.5%
중앙로 4
 
6.8%
산하중앙2로 3
 
5.1%
매암로 2
 
3.4%
산현출강길 1
 
1.7%
곡천검단로 1
 
1.7%
Other values (22) 22
37.3%
2024-03-15T04:03:56.480909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 42
 
17.7%
길 19
 
8.0%
가 12
 
5.1%
중 12
 
5.1%
산 11
 
4.6%
2 9
 
3.8%
앙 7
 
3.0%
신 7
 
3.0%
덕 6
 
2.5%
종 6
 
2.5%
Other values (62) 106
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
94.1%
Decimal Number 14
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 42
18.8%
길 19
 
8.5%
가 12
 
5.4%
중 12
 
5.4%
산 11
 
4.9%
앙 7
 
3.1%
신 7
 
3.1%
덕 6
 
2.7%
종 6
 
2.7%
도 6
 
2.7%
Other values (57) 95
42.6%
Decimal Number
ValueCountFrequency (%)
2 9
64.3%
4 2
 
14.3%
1 1
 
7.1%
8 1
 
7.1%
7 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
94.1%
Common 14
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 42
18.8%
길 19
 
8.5%
가 12
 
5.4%
중 12
 
5.4%
산 11
 
4.9%
앙 7
 
3.1%
신 7
 
3.1%
덕 6
 
2.7%
종 6
 
2.7%
도 6
 
2.7%
Other values (57) 95
42.6%
Common
ValueCountFrequency (%)
2 9
64.3%
4 2
 
14.3%
1 1
 
7.1%
8 1
 
7.1%
7 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
94.1%
ASCII 14
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 42
18.8%
길 19
 
8.5%
가 12
 
5.4%
중 12
 
5.4%
산 11
 
4.9%
앙 7
 
3.1%
신 7
 
3.1%
덕 6
 
2.7%
종 6
 
2.7%
도 6
 
2.7%
Other values (57) 95
42.6%
ASCII
ValueCountFrequency (%)
2 9
64.3%
4 2
 
14.3%
1 1
 
7.1%
8 1
 
7.1%
7 1
 
7.1%

읍면동순번
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size696.0 B
1
43 
<NA>
13 
2
13 
4
 
2

Length

Max length4
Median length1
Mean length1.5492958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
60.6%
<NA> 13
 
18.3%
2 13
 
18.3%
4 2
 
2.8%

Length

2024-03-15T04:03:56.807102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:03:57.077486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
60.6%
na 13
 
18.3%
2 13
 
18.3%
4 2
 
2.8%

지하 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size696.0 B
0
71 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 71
100.0%

Length

2024-03-15T04:03:57.365113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:03:57.683337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 71
100.0%

서센터전화번호
Text

MISSING 

Distinct60
Distinct (%)85.7%
Missing1
Missing (%)1.4%
Memory size696.0 B
2024-03-15T04:03:58.617030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters840
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

Unique50 ?
Unique (%)71.4%

Sample

1st row052-229-4564
2nd row052-229-4521
3rd row052-229-4561
4th row052-229-4564
5th row052-229-4590
ValueCountFrequency (%)
052-229-4564 2
 
2.9%
052-279-6350 2
 
2.9%
052-279-6320 2
 
2.9%
052-241-6650 2
 
2.9%
052-241-2482 2
 
2.9%
052-210-4450 2
 
2.9%
052-229-8010 2
 
2.9%
052-279-6567 2
 
2.9%
052-210-4424 2
 
2.9%
052-229-8070 2
 
2.9%
Other values (50) 50
71.4%
2024-03-15T04:03:59.900935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 207
24.6%
0 144
17.1%
- 140
16.7%
5 97
11.5%
4 73
 
8.7%
1 56
 
6.7%
9 37
 
4.4%
6 34
 
4.0%
8 24
 
2.9%
7 19
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 700
83.3%
Dash Punctuation 140
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 207
29.6%
0 144
20.6%
5 97
13.9%
4 73
 
10.4%
1 56
 
8.0%
9 37
 
5.3%
6 34
 
4.9%
8 24
 
3.4%
7 19
 
2.7%
3 9
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 207
24.6%
0 144
17.1%
- 140
16.7%
5 97
11.5%
4 73
 
8.7%
1 56
 
6.7%
9 37
 
4.4%
6 34
 
4.0%
8 24
 
2.9%
7 19
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 207
24.6%
0 144
17.1%
- 140
16.7%
5 97
11.5%
4 73
 
8.7%
1 56
 
6.7%
9 37
 
4.4%
6 34
 
4.0%
8 24
 
2.9%
7 19
 
2.3%

관할구역
Text

MISSING 

Distinct35
Distinct (%)50.0%
Missing1
Missing (%)1.4%
Memory size696.0 B
2024-03-15T04:04:00.913898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length139
Mean length29.071429
Min length8

Characters and Unicode

Total characters2035
Distinct characters102
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)38.6%

Sample

1st row울산광역시 전체
2nd row울산광역시 전체
3rd row울산광역시 전체
4th row울산광역시 전체
5th row울산광역시 전체
ValueCountFrequency (%)
일원 174
32.1%
남구 51
 
9.4%
관할구역 35
 
6.5%
중구 32
 
5.9%
북구 27
 
5.0%
울주군 16
 
3.0%
동구 13
 
2.4%
전체 10
 
1.8%
울산광역시 10
 
1.8%
신정동 6
 
1.1%
Other values (92) 168
31.0%
2024-03-15T04:04:02.491716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
472
23.2%
일 176
 
8.6%
원 174
 
8.6%
구 161
 
7.9%
동 145
 
7.1%
, 114
 
5.6%
남 62
 
3.0%
역 45
 
2.2%
중 39
 
1.9%
서 37
 
1.8%
Other values (92) 610
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1437
70.6%
Space Separator 472
 
23.2%
Other Punctuation 114
 
5.6%
Decimal Number 12
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 176
 
12.2%
원 174
 
12.1%
구 161
 
11.2%
동 145
 
10.1%
남 62
 
4.3%
역 45
 
3.1%
중 39
 
2.7%
서 37
 
2.6%
할 35
 
2.4%
관 35
 
2.4%
Other values (88) 528
36.7%
Decimal Number
ValueCountFrequency (%)
1 8
66.7%
9 4
33.3%
Space Separator
ValueCountFrequency (%)
472
100.0%
Other Punctuation
ValueCountFrequency (%)
, 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1437
70.6%
Common 598
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 176
 
12.2%
원 174
 
12.1%
구 161
 
11.2%
동 145
 
10.1%
남 62
 
4.3%
역 45
 
3.1%
중 39
 
2.7%
서 37
 
2.6%
할 35
 
2.4%
관 35
 
2.4%
Other values (88) 528
36.7%
Common
ValueCountFrequency (%)
472
78.9%
, 114
 
19.1%
1 8
 
1.3%
9 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1437
70.6%
ASCII 598
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
472
78.9%
, 114
 
19.1%
1 8
 
1.3%
9 4
 
0.7%
Hangul
ValueCountFrequency (%)
일 176
 
12.2%
원 174
 
12.1%
구 161
 
11.2%
동 145
 
10.1%
남 62
 
4.3%
역 45
 
3.1%
중 39
 
2.7%
서 37
 
2.6%
할 35
 
2.4%
관 35
 
2.4%
Other values (88) 528
36.7%

서센터위치정보(X)
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409587.99
Minimum389388.81
Maximum421149.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size767.0 B
2024-03-15T04:04:02.927725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum389388.81
5-th percentile393736.73
Q1408420.78
median409625.73
Q3415267.74
95-th percentile420292.18
Maximum421149.69
Range31760.875
Interquartile range (IQR)6846.9548

Descriptive statistics

Standard deviation7902.1902
Coefficient of variation (CV)0.019293022
Kurtosis0.4422131
Mean409587.99
Median Absolute Deviation (MAD)2740.3342
Skewness-0.92102023
Sum29080747
Variance62444610
MonotonicityNot monotonic
2024-03-15T04:04:03.366196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
408420.7834 7
 
9.9%
415267.7382 6
 
8.5%
411770.7277 6
 
8.5%
409449.8436 6
 
8.5%
418950.5891 6
 
8.5%
393736.7343 5
 
7.0%
409625.7257 5
 
7.0%
415676.8968 2
 
2.8%
421149.6875 2
 
2.8%
412366.0599 1
 
1.4%
Other values (25) 25
35.2%
ValueCountFrequency (%)
389388.8121 1
 
1.4%
389434.3549 1
 
1.4%
393736.7343 5
7.0%
395525.6093 1
 
1.4%
395758.5566 1
 
1.4%
396984.5108 1
 
1.4%
400304.2175 1
 
1.4%
402719.1942 1
 
1.4%
405289.5284 1
 
1.4%
405813.4534 1
 
1.4%
ValueCountFrequency (%)
421149.6875 2
 
2.8%
420746.6671 1
 
1.4%
420366.6763 1
 
1.4%
420217.6769 1
 
1.4%
418950.5891 6
8.5%
417592.2379 1
 
1.4%
415676.8968 2
 
2.8%
415267.7382 6
8.5%
413740.3996 1
 
1.4%
412366.0599 1
 
1.4%

서센터위치정보(Y)
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328497.17
Minimum308410.07
Maximum341819.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size767.0 B
2024-03-15T04:04:03.916750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum308410.07
5-th percentile317612.28
Q1323634.68
median329654.98
Q3332001.07
95-th percentile338902.85
Maximum341819.17
Range33409.098
Interquartile range (IQR)8366.3966

Descriptive statistics

Standard deviation6673.6194
Coefficient of variation (CV)0.020315607
Kurtosis0.26707331
Mean328497.17
Median Absolute Deviation (MAD)3214.1367
Skewness-0.50045378
Sum23323299
Variance44537196
MonotonicityNot monotonic
2024-03-15T04:04:04.568350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
332001.0749 7
 
9.9%
335758.0295 6
 
8.5%
330333.0005 6
 
8.5%
317612.2836 6
 
8.5%
323287.6357 6
 
8.5%
329654.98 5
 
7.0%
329335.983 5
 
7.0%
326440.8433 2
 
2.8%
338306.8951 2
 
2.8%
332252.3876 1
 
1.4%
Other values (25) 25
35.2%
ValueCountFrequency (%)
308410.07 1
 
1.4%
315068.2736 1
 
1.4%
317612.2836 6
8.5%
318327.5663 1
 
1.4%
318328.8687 1
 
1.4%
320780.3532 1
 
1.4%
322572.8415 1
 
1.4%
323287.6357 6
8.5%
323981.721 1
 
1.4%
324772.2905 1
 
1.4%
ValueCountFrequency (%)
341819.1682 1
 
1.4%
340515.0537 1
 
1.4%
339830.0305 1
 
1.4%
339498.8104 1
 
1.4%
338306.8951 2
 
2.8%
335758.0295 6
8.5%
334208.4659 1
 
1.4%
334170.2606 1
 
1.4%
332606.6464 1
 
1.4%
332252.3876 1
 
1.4%

Interactions

2024-03-15T04:03:47.085243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:03:46.616916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:03:47.272360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:03:46.871881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:04:04.891884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소방서명서센터명구군명동명리명번지도로명읍면동순번서센터전화번호관할구역서센터위치정보(X)서센터위치정보(Y)
소방서명1.0000.9010.9560.9510.9220.9770.9660.3290.9310.9690.8220.769
서센터명0.9011.0000.0000.9930.9870.9951.0001.0000.9860.9950.9190.923
구군명0.9560.0001.0001.000NaN1.0001.0000.2271.0000.9960.9340.859
동명0.9510.9931.0001.0001.0001.0000.9991.0001.0000.9940.9980.997
리명0.9220.987NaN1.0001.0001.0001.0001.0001.0000.9841.0001.000
번지0.9770.9951.0001.0001.0001.0001.0001.0001.0000.9921.0001.000
도로명0.9661.0001.0000.9991.0001.0001.0000.9891.0000.9911.0000.990
읍면동순번0.3291.0000.2271.0001.0001.0000.9891.0001.0000.9870.6870.469
서센터전화번호0.9310.9861.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관할구역0.9690.9950.9960.9940.9840.9920.9910.9871.0001.0000.9690.979
서센터위치정보(X)0.8220.9190.9340.9981.0001.0001.0000.6871.0000.9691.0000.811
서센터위치정보(Y)0.7690.9230.8590.9971.0001.0000.9900.4691.0000.9790.8111.000
2024-03-15T04:04:05.488491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동명읍면동순번번지구군명소방서명
동명1.0000.7140.9490.7780.594
읍면동순번0.7141.0000.6740.1680.180
번지0.9490.6741.0000.7390.648
구군명0.7780.1680.7391.0000.852
소방서명0.5940.1800.6480.8521.000
2024-03-15T04:04:05.950708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서센터위치정보(X)서센터위치정보(Y)소방서명구군명동명번지읍면동순번
서센터위치정보(X)1.0000.0260.4930.6330.7940.7680.507
서센터위치정보(Y)0.0261.0000.5540.6880.7900.7680.182
소방서명0.4930.5541.0000.8520.5940.6480.180
구군명0.6330.6880.8521.0000.7780.7390.168
동명0.7940.7900.5940.7781.0000.9490.714
번지0.7680.7680.6480.7390.9491.0000.674
읍면동순번0.5070.1820.1800.1680.7140.6741.000

Missing values

2024-03-15T04:03:47.642488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:03:48.233907image/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.
2024-03-15T04:03:48.469576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

소방서명서센터명시명구군명동명리명번지도로명읍면동순번지하 여부서센터전화번호관할구역서센터위치정보(X)서센터위치정보(Y)
0울산소방본부울산소방본부울산광역시남구신정동<NA>646-4중앙로10052-229-4564울산광역시 전체409625.7257329335.983
1울산소방본부본부소방행정과울산광역시남구신정동<NA>646-4중앙로10052-229-4521울산광역시 전체409625.7257329335.983
2울산소방본부본부예방안전과울산광역시남구신정동<NA>646-4중앙로10052-229-4561울산광역시 전체409625.7257329335.983
3울산소방본부119재난대응과울산광역시남구신정동<NA>646-4<NA><NA>0052-229-4564울산광역시 전체409625.7257329335.983
4울산소방본부항공구조구급대울산광역시울주군삼동면출강리377-3산현출강길10052-229-4590울산광역시 전체396984.5108323981.721
5울산소방본부1 1 9종합상황실울산광역시남구신정동<NA>646-4중앙로10052-229-4600울산광역시 전체409625.7257329335.983
6울산소방본부특수화학구조대울산광역시남구매암동<NA>360-55매암로<NA>0052-229-5345울산광역시 전체415676.8968326440.8433
7울산소방본부광역화재조사단울산광역시울주군청량면용암리957처용산업4길10052-228-5868울산광역시 전체405813.4534326701.496
8울산소방본부울산안전체험관울산광역시북구정자동<NA>산27산하중앙2로10052-279-6567울산광역시 전체421149.6875338306.8951
9울산안전체험관운영지원팀울산광역시북구정자동<NA>산27산하중앙2로10052-279-6567울산광역시 전체421149.6875338306.8951
소방서명서센터명시명구군명동명리명번지도로명읍면동순번지하 여부서센터전화번호관할구역서센터위치정보(X)서센터위치정보(Y)
61울산소방본부울주소방서울산광역시울주군삼남읍신화리26-3도호길20052-241-2482울주소방서 관할구역 일원393736.7343329654.98
62울주소방서소방행정과울산광역시울주군삼남읍신화리26-3도호길20052-241-2482울주소방서 관할구역 일원393736.7343329654.98
63울주소방서119재난대응과울산광역시울주군삼남읍신화리26-3도호길20052-241-2994울주소방서 관할구역 일원393736.7343329654.98
64울주소방서울주구조대울산광역시울주군상북면길천리1238-2길천산업로10052-241-2980울주소방서 관할구역 일원389388.8121334208.4659
65울주소방서언양119안전센터울산광역시울주군삼남읍신화리26-3도호길20052-241-2460울주군 삼남읍 일원, 울주군 삼동면 일원, 울주군 상북면 일원, 울주군 언양읍 일원393736.7343329654.98
66울주소방서범서119안전센터울산광역시울주군범서읍구영리874-8구영앞길10052-241-2500울주군 범서읍 일원402719.1942332606.6464
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