Overview

Dataset statistics

Number of variables22
Number of observations28
Missing cells126
Missing cells (%)20.5%
Duplicate rows1
Duplicate rows (%)3.6%
Total size in memory5.0 KiB
Average record size in memory183.7 B

Variable types

Categorical14
Text5
Numeric1
Boolean2

Dataset

Description울산도시공사에서 운영중인 CCTV의 정보 중 기기 제원, 기기 설치 장소, 관리자, 설치년도, 설치목적 등의 정보를 다루고 있는 데이터
Author울산광역시도시공사
URLhttps://www.data.go.kr/data/15109746/fileData.do

Alerts

비상벨설치여부 has constant value ""Constant
작동현황 has constant value ""Constant
Dataset has 1 (3.6%) duplicate rowsDuplicates
소재지도로명주소 has 16 (57.1%) missing valuesMissing
소재지지번주소 has 16 (57.1%) missing valuesMissing
카메라대수 has 16 (57.1%) missing valuesMissing
경도 has 14 (50.0%) missing valuesMissing
상세위치 has 16 (57.1%) missing valuesMissing
비상벨설치여부 has 16 (57.1%) missing valuesMissing
관리번호 has 16 (57.1%) missing valuesMissing
작동현황 has 16 (57.1%) missing valuesMissing

Reproduction

Analysis started2023-12-16 16:02:42.306799
Analysis finished2023-12-16 16:02:43.195224
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
울산광역시도시공사
12 

Length

Max length9
Median length4
Mean length6.1428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
울산광역시도시공사 12
42.9%

Length

2023-12-16T16:02:43.414702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:43.772120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
울산광역시도시공사 12
42.9%

소재지도로명주소
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing16
Missing (%)57.1%
Memory size356.0 B
2023-12-16T16:02:44.111618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22.5
Mean length21.416667
Min length16

Characters and Unicode

Total characters257
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)33.3%

Sample

1st row울산광역시 중구 남외로 88(1단지)
2nd row울산광역시 중구 남외로 88(2단지)
3rd row울산광역시 중구 남외로 88(사회복지관)
4th row울산광역시 울주군 청량읍 율리영해2길 7
5th row울산광역시 울주군 청량읍 율리영해2길 7
ValueCountFrequency (%)
울산광역시 12
22.6%
울주군 8
15.1%
청량읍 8
15.1%
율리영해2길 5
9.4%
7 5
9.4%
율리영해로13-9 3
 
5.7%
중구 3
 
5.7%
남외로 3
 
5.7%
88(1단지 1
 
1.9%
88(2단지 1
 
1.9%
Other values (4) 4
 
7.5%
2023-12-16T16:02:45.253875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
16.0%
울 20
 
7.8%
시 12
 
4.7%
산 12
 
4.7%
역 12
 
4.7%
광 12
 
4.7%
주 8
 
3.1%
군 8
 
3.1%
청 8
 
3.1%
읍 8
 
3.1%
Other values (28) 116
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
68.9%
Space Separator 41
 
16.0%
Decimal Number 30
 
11.7%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%
Dash Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 20
 
11.3%
시 12
 
6.8%
산 12
 
6.8%
역 12
 
6.8%
광 12
 
6.8%
주 8
 
4.5%
군 8
 
4.5%
청 8
 
4.5%
읍 8
 
4.5%
율 8
 
4.5%
Other values (18) 69
39.0%
Decimal Number
ValueCountFrequency (%)
8 7
23.3%
2 6
20.0%
1 5
16.7%
7 5
16.7%
3 4
13.3%
9 3
10.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
68.9%
Common 80
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 20
 
11.3%
시 12
 
6.8%
산 12
 
6.8%
역 12
 
6.8%
광 12
 
6.8%
주 8
 
4.5%
군 8
 
4.5%
청 8
 
4.5%
읍 8
 
4.5%
율 8
 
4.5%
Other values (18) 69
39.0%
Common
ValueCountFrequency (%)
41
51.2%
8 7
 
8.8%
2 6
 
7.5%
1 5
 
6.2%
7 5
 
6.2%
3 4
 
5.0%
) 3
 
3.8%
( 3
 
3.8%
9 3
 
3.8%
- 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
68.9%
ASCII 80
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
51.2%
8 7
 
8.8%
2 6
 
7.5%
1 5
 
6.2%
7 5
 
6.2%
3 4
 
5.0%
) 3
 
3.8%
( 3
 
3.8%
9 3
 
3.8%
- 3
 
3.8%
Hangul
ValueCountFrequency (%)
울 20
 
11.3%
시 12
 
6.8%
산 12
 
6.8%
역 12
 
6.8%
광 12
 
6.8%
주 8
 
4.5%
군 8
 
4.5%
청 8
 
4.5%
읍 8
 
4.5%
율 8
 
4.5%
Other values (18) 69
39.0%

소재지지번주소
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing16
Missing (%)57.1%
Memory size356.0 B
2023-12-16T16:02:45.782301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.416667
Min length18

Characters and Unicode

Total characters257
Distinct characters30
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

Unique4 ?
Unique (%)33.3%

Sample

1st row울산광역시 중구 남외동 529-2
2nd row울산광역시 중구 남외동 475-7
3rd row울산광역시 중구 남외동 475-5
4th row울산광역시 울주군 청량읍 율리 1476-1
5th row울산광역시 울주군 청량읍 율리 1476-1
ValueCountFrequency (%)
울산광역시 12
21.4%
울주군 8
14.3%
청량읍 8
14.3%
율리 8
14.3%
1476-1 5
8.9%
1477-1 3
 
5.4%
중구 3
 
5.4%
남외동 3
 
5.4%
529-2 1
 
1.8%
475-7 1
 
1.8%
Other values (4) 4
 
7.1%
2023-12-16T16:02:46.651329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
17.1%
울 20
 
7.8%
1 18
 
7.0%
7 14
 
5.4%
시 12
 
4.7%
광 12
 
4.7%
역 12
 
4.7%
산 12
 
4.7%
- 12
 
4.7%
4 10
 
3.9%
Other values (20) 91
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
56.0%
Decimal Number 57
 
22.2%
Space Separator 44
 
17.1%
Dash Punctuation 12
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 20
13.9%
시 12
 
8.3%
광 12
 
8.3%
역 12
 
8.3%
산 12
 
8.3%
량 8
 
5.6%
율 8
 
5.6%
리 8
 
5.6%
청 8
 
5.6%
군 8
 
5.6%
Other values (9) 36
25.0%
Decimal Number
ValueCountFrequency (%)
1 18
31.6%
7 14
24.6%
4 10
17.5%
6 5
 
8.8%
5 4
 
7.0%
2 3
 
5.3%
9 1
 
1.8%
8 1
 
1.8%
0 1
 
1.8%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
56.0%
Common 113
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 20
13.9%
시 12
 
8.3%
광 12
 
8.3%
역 12
 
8.3%
산 12
 
8.3%
량 8
 
5.6%
율 8
 
5.6%
리 8
 
5.6%
청 8
 
5.6%
군 8
 
5.6%
Other values (9) 36
25.0%
Common
ValueCountFrequency (%)
44
38.9%
1 18
15.9%
7 14
 
12.4%
- 12
 
10.6%
4 10
 
8.8%
6 5
 
4.4%
5 4
 
3.5%
2 3
 
2.7%
9 1
 
0.9%
8 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
56.0%
ASCII 113
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
38.9%
1 18
15.9%
7 14
 
12.4%
- 12
 
10.6%
4 10
 
8.8%
6 5
 
4.4%
5 4
 
3.5%
2 3
 
2.7%
9 1
 
0.9%
8 1
 
0.9%
Hangul
ValueCountFrequency (%)
울 20
13.9%
시 12
 
8.3%
광 12
 
8.3%
역 12
 
8.3%
산 12
 
8.3%
량 8
 
5.6%
율 8
 
5.6%
리 8
 
5.6%
청 8
 
5.6%
군 8
 
5.6%
Other values (9) 36
25.0%

설치목적구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
시설물관리
12 

Length

Max length5
Median length4
Mean length4.4285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
시설물관리 12
42.9%

Length

2023-12-16T16:02:47.339159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:47.684345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
시설물관리 12
42.9%

카메라대수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing16
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean39.5
Minimum4
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-16T16:02:48.055040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.1
Q19
median18.5
Q351.75
95-th percentile124
Maximum124
Range120
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation43.662965
Coefficient of variation (CV)1.1053915
Kurtosis0.65644348
Mean39.5
Median Absolute Deviation (MAD)13.5
Skewness1.3684588
Sum474
Variance1906.4545
MonotonicityNot monotonic
2023-12-16T16:02:48.394741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 2
 
7.1%
124 2
 
7.1%
47 1
 
3.6%
21 1
 
3.6%
66 1
 
3.6%
36 1
 
3.6%
14 1
 
3.6%
10 1
 
3.6%
4 1
 
3.6%
16 1
 
3.6%
(Missing) 16
57.1%
ValueCountFrequency (%)
4 1
3.6%
6 2
7.1%
10 1
3.6%
14 1
3.6%
16 1
3.6%
21 1
3.6%
36 1
3.6%
47 1
3.6%
66 1
3.6%
124 2
7.1%
ValueCountFrequency (%)
124 2
7.1%
66 1
3.6%
47 1
3.6%
36 1
3.6%
21 1
3.6%
16 1
3.6%
14 1
3.6%
10 1
3.6%
6 2
7.1%
4 1
3.6%

카메라화소수
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
41
7 
800(지하200)
2 
800
2 
200
 
1

Length

Max length10
Median length4
Mean length3.8214286
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row800(지하200)
2nd row800(지하200)
3rd row800
4th row800
5th row41

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
41 7
25.0%
800(지하200) 2
 
7.1%
800 2
 
7.1%
200 1
 
3.6%

Length

2023-12-16T16:02:48.776253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:49.103865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
41 7
25.0%
800(지하200 2
 
7.1%
800 2
 
7.1%
200 1
 
3.6%

촬영방면정보
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
고정식(전면)
12 

Length

Max length7
Median length4
Mean length5.2857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고정식(전면)
2nd row고정식(전면)
3rd row고정식(전면)
4th row고정식(전면)
5th row고정식(전면)

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
고정식(전면) 12
42.9%

Length

2023-12-16T16:02:49.526719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:49.846132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
고정식(전면 12
42.9%

보관일수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
30
12 

Length

Max length4
Median length4
Mean length3.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
30 12
42.9%

Length

2023-12-16T16:02:50.206357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:50.472995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
30 12
42.9%

설치연월
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
2023-05-15
7 
2023-09-22
3 
2023-01-18
 
1
2023-08-17
 
1

Length

Max length10
Median length4
Mean length6.5714286
Min length4

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row2023-09-22
2nd row2023-09-22
3rd row2023-09-22
4th row2023-05-15
5th row2023-05-15

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
2023-05-15 7
25.0%
2023-09-22 3
 
10.7%
2023-01-18 1
 
3.6%
2023-08-17 1
 
3.6%

Length

2023-12-16T16:02:50.933756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:51.363655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
2023-05-15 7
25.0%
2023-09-22 3
 
10.7%
2023-01-18 1
 
3.6%
2023-08-17 1
 
3.6%

관리기관전화번호
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
052-256-9625
5 
052-296-4330
3 
052-256-9865
3 
052-219-8445
 
1

Length

Max length12
Median length4
Mean length7.4285714
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row052-296-4330
2nd row052-296-4330
3rd row052-296-4330
4th row052-256-9625
5th row052-256-9625

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
052-256-9625 5
 
17.9%
052-296-4330 3
 
10.7%
052-256-9865 3
 
10.7%
052-219-8445 1
 
3.6%

Length

2023-12-16T16:02:51.758181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:52.107697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
052-256-9625 5
 
17.9%
052-296-4330 3
 
10.7%
052-256-9865 3
 
10.7%
052-219-8445 1
 
3.6%

위도
Categorical

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
35.52594771
5 
35.52572031
3 
35.56751279
2 
35.56875428
 
1

Length

Max length11
Median length4
Mean length7
Min length4

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row35.56875428
2nd row35.56751279
3rd row35.56751279
4th row35.52594771
5th row35.52594771

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
35.52594771 5
 
17.9%
35.52572031 3
 
10.7%
35.56751279 2
 
7.1%
35.56875428 1
 
3.6%
35.53063973 1
 
3.6%

Length

2023-12-16T16:02:52.460712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:52.841981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
35.52594771 5
 
17.9%
35.52572031 3
 
10.7%
35.56751279 2
 
7.1%
35.56875428 1
 
3.6%
35.53063973 1
 
3.6%

경도
Text

MISSING 

Distinct7
Distinct (%)50.0%
Missing14
Missing (%)50.0%
Memory size356.0 B
2023-12-16T16:02:53.249438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.7857143
Min length1

Characters and Unicode

Total characters137
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

Unique4 ?
Unique (%)28.6%

Sample

1st row129.3467278
2nd row129.3454703
3rd row129.3454703
4th row129.2428091
5th row129.2428091
ValueCountFrequency (%)
129.2428091 5
41.7%
129.2442548 3
25.0%
129.3454703 2
 
16.7%
129.3467278 1
 
8.3%
129.3085768 1
 
8.3%
2023-12-16T16:02:54.026423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 29
21.2%
4 19
13.9%
1 17
12.4%
9 17
12.4%
. 12
8.8%
8 11
 
8.0%
0 8
 
5.8%
5 6
 
4.4%
3 6
 
4.4%
7 5
 
3.6%
Other values (2) 7
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
87.6%
Other Punctuation 12
 
8.8%
Space Separator 5
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 29
24.2%
4 19
15.8%
1 17
14.2%
9 17
14.2%
8 11
 
9.2%
0 8
 
6.7%
5 6
 
5.0%
3 6
 
5.0%
7 5
 
4.2%
6 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 29
21.2%
4 19
13.9%
1 17
12.4%
9 17
12.4%
. 12
8.8%
8 11
 
8.0%
0 8
 
5.8%
5 6
 
4.4%
3 6
 
4.4%
7 5
 
3.6%
Other values (2) 7
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 29
21.2%
4 19
13.9%
1 17
12.4%
9 17
12.4%
. 12
8.8%
8 11
 
8.0%
0 8
 
5.8%
5 6
 
4.4%
3 6
 
4.4%
7 5
 
3.6%
Other values (2) 7
 
5.1%

데이터기준일자
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
2023-12-09
12 

Length

Max length10
Median length4
Mean length6.5714286
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-09
2nd row2023-12-09
3rd row2023-12-09
4th row2023-12-09
5th row2023-12-09

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
2023-12-09 12
42.9%

Length

2023-12-16T16:02:54.525491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:54.875835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
2023-12-09 12
42.9%

상세위치
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing16
Missing (%)57.1%
Memory size356.0 B
2023-12-16T16:02:55.166388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.6666667
Min length3

Characters and Unicode

Total characters68
Distinct characters28
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

Unique7 ?
Unique (%)58.3%

Sample

1st row1단지
2nd row2단지
3rd row사회복지관
4th row단지내 옥외
5th row단지내 지하주차장
ValueCountFrequency (%)
단지내 5
29.4%
방재실 3
17.6%
옥외 2
 
11.8%
1단지 1
 
5.9%
2단지 1
 
5.9%
사회복지관 1
 
5.9%
지하주차장 1
 
5.9%
e/l 1
 
5.9%
주출입구/옥탑 1
 
5.9%
사옥건물 1
 
5.9%
2023-12-16T16:02:55.926007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
14.7%
지 9
13.2%
단 7
 
10.3%
내 5
 
7.4%
옥 4
 
5.9%
방 3
 
4.4%
실 3
 
4.4%
재 3
 
4.4%
사 2
 
2.9%
주 2
 
2.9%
Other values (18) 20
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
76.5%
Space Separator 10
 
14.7%
Other Punctuation 2
 
2.9%
Uppercase Letter 2
 
2.9%
Decimal Number 2
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9
17.3%
단 7
13.5%
내 5
9.6%
옥 4
 
7.7%
방 3
 
5.8%
실 3
 
5.8%
재 3
 
5.8%
사 2
 
3.8%
주 2
 
3.8%
외 2
 
3.8%
Other values (12) 12
23.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
L 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
76.5%
Common 14
 
20.6%
Latin 2
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9
17.3%
단 7
13.5%
내 5
9.6%
옥 4
 
7.7%
방 3
 
5.8%
실 3
 
5.8%
재 3
 
5.8%
사 2
 
3.8%
주 2
 
3.8%
외 2
 
3.8%
Other values (12) 12
23.1%
Common
ValueCountFrequency (%)
10
71.4%
/ 2
 
14.3%
2 1
 
7.1%
1 1
 
7.1%
Latin
ValueCountFrequency (%)
E 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
76.5%
ASCII 16
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
62.5%
/ 2
 
12.5%
E 1
 
6.2%
L 1
 
6.2%
2 1
 
6.2%
1 1
 
6.2%
Hangul
ValueCountFrequency (%)
지 9
17.3%
단 7
13.5%
내 5
9.6%
옥 4
 
7.7%
방 3
 
5.8%
실 3
 
5.8%
재 3
 
5.8%
사 2
 
3.8%
주 2
 
3.8%
외 2
 
3.8%
Other values (12) 12
23.1%

비상벨설치여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing16
Missing (%)57.1%
Memory size188.0 B
False
12 
(Missing)
16 
ValueCountFrequency (%)
False 12
42.9%
(Missing) 16
57.1%
2023-12-16T16:02:56.265324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing16
Missing (%)57.1%
Memory size356.0 B
2023-12-16T16:02:56.519937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.5833333
Min length1

Characters and Unicode

Total characters67
Distinct characters17
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

Unique12 ?
Unique (%)100.0%

Sample

1st row1-47
2nd row02월 21일
3rd row03월 06일
4th rowCA 67~76
5th rowCA 1~36
ValueCountFrequency (%)
ca 5
26.3%
1-47 1
 
5.3%
02월 1
 
5.3%
21일 1
 
5.3%
03월 1
 
5.3%
06일 1
 
5.3%
67~76 1
 
5.3%
1~36 1
 
5.3%
37~42 1
 
5.3%
43~56 1
 
5.3%
Other values (5) 5
26.3%
2023-12-16T16:02:57.465645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 8
11.9%
7
10.4%
1 6
9.0%
A 5
 
7.5%
4 5
 
7.5%
7 5
 
7.5%
~ 5
 
7.5%
C 5
 
7.5%
0 4
 
6.0%
2 4
 
6.0%
Other values (7) 13
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
56.7%
Uppercase Letter 10
 
14.9%
Space Separator 7
 
10.4%
Math Symbol 5
 
7.5%
Other Letter 4
 
6.0%
Lowercase Letter 2
 
3.0%
Dash Punctuation 1
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 8
21.1%
1 6
15.8%
4 5
13.2%
7 5
13.2%
0 4
10.5%
2 4
10.5%
3 4
10.5%
5 2
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
C 5
50.0%
Other Letter
ValueCountFrequency (%)
일 2
50.0%
월 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51
76.1%
Latin 12
 
17.9%
Hangul 4
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 8
15.7%
7
13.7%
1 6
11.8%
4 5
9.8%
7 5
9.8%
~ 5
9.8%
0 4
7.8%
2 4
7.8%
3 4
7.8%
5 2
 
3.9%
Latin
ValueCountFrequency (%)
A 5
41.7%
C 5
41.7%
e 1
 
8.3%
a 1
 
8.3%
Hangul
ValueCountFrequency (%)
일 2
50.0%
월 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
94.0%
Hangul 4
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 8
12.7%
7
11.1%
1 6
9.5%
A 5
7.9%
4 5
7.9%
7 5
7.9%
~ 5
7.9%
C 5
7.9%
0 4
6.3%
2 4
6.3%
Other values (5) 9
14.3%
Hangul
ValueCountFrequency (%)
일 2
50.0%
월 2
50.0%

작동현황
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing16
Missing (%)57.1%
Memory size188.0 B
True
12 
(Missing)
16 
ValueCountFrequency (%)
True 12
42.9%
(Missing) 16
57.1%
2023-12-16T16:02:57.909216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리부서
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
관리사무소
11 
재무회계팀
 
1

Length

Max length5
Median length4
Mean length4.4285714
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
관리사무소 11
39.3%
재무회계팀 1
 
3.6%

Length

2023-12-16T16:02:58.376411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:58.732082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
관리사무소 11
39.3%
재무회계팀 1
 
3.6%

관리자
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
관리소장
8 
소장
3 
팀장
 
1

Length

Max length4
Median length4
Mean length3.7142857
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
관리소장 8
28.6%
소장 3
 
10.7%
팀장 1
 
3.6%

Length

2023-12-16T16:02:59.274789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:02:59.761492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
관리소장 8
28.6%
소장 3
 
10.7%
팀장 1
 
3.6%

관리자(부)
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
관리대리
5 
전기과장
3 
관리부장
3 
담당
 
1

Length

Max length4
Median length4
Mean length3.9285714
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row전기과장
2nd row전기과장
3rd row전기과장
4th row관리대리
5th row관리대리

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
관리대리 5
 
17.9%
전기과장 3
 
10.7%
관리부장 3
 
10.7%
담당 1
 
3.6%

Length

2023-12-16T16:03:00.234506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:03:00.658431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
관리대리 5
 
17.9%
전기과장 3
 
10.7%
관리부장 3
 
10.7%
담당 1
 
3.6%

전화번호
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
052-219-8456
8 
052-219-8453
3 
052-219-8441
 
1

Length

Max length12
Median length4
Mean length7.4285714
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row052-219-8453
2nd row052-219-8453
3rd row052-219-8453
4th row052-219-8456
5th row052-219-8456

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
052-219-8456 8
28.6%
052-219-8453 3
 
10.7%
052-219-8441 1
 
3.6%

Length

2023-12-16T16:03:01.276318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:03:01.681004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
052-219-8456 8
28.6%
052-219-8453 3
 
10.7%
052-219-8441 1
 
3.6%

관리주기
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
16 
1개월
9 
1주일
3 

Length

Max length4
Median length4
Mean length3.5714286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1개월
2nd row1개월
3rd row1개월
4th row1개월
5th row1개월

Common Values

ValueCountFrequency (%)
<NA> 16
57.1%
1개월 9
32.1%
1주일 3
 
10.7%

Length

2023-12-16T16:03:02.024588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:03:02.437807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
57.1%
1개월 9
32.1%
1주일 3
 
10.7%

Sample

관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자상세위치비상벨설치여부관리번호작동현황관리부서관리자관리자(부)전화번호관리주기
0울산광역시도시공사울산광역시 중구 남외로 88(1단지)울산광역시 중구 남외동 529-2시설물관리47800(지하200)고정식(전면)302023-09-22052-296-433035.568754129.34672782023-12-091단지N1-47Y관리사무소관리소장전기과장052-219-84531개월
1울산광역시도시공사울산광역시 중구 남외로 88(2단지)울산광역시 중구 남외동 475-7시설물관리21800(지하200)고정식(전면)302023-09-22052-296-433035.567513129.34547032023-12-092단지N02월 21일Y관리사무소관리소장전기과장052-219-84531개월
2울산광역시도시공사울산광역시 중구 남외로 88(사회복지관)울산광역시 중구 남외동 475-5시설물관리6800고정식(전면)302023-09-22052-296-433035.567513129.34547032023-12-09사회복지관N03월 06일Y관리사무소관리소장전기과장052-219-84531개월
3울산광역시도시공사울산광역시 울주군 청량읍 율리영해2길 7울산광역시 울주군 청량읍 율리 1476-1시설물관리66800고정식(전면)302023-05-15052-256-962535.525948129.24280912023-12-09단지내 옥외NCA 67~76Y관리사무소관리소장관리대리052-219-84561개월
4울산광역시도시공사울산광역시 울주군 청량읍 율리영해2길 7울산광역시 울주군 청량읍 율리 1476-1시설물관리3641고정식(전면)302023-05-15052-256-962535.525948129.24280912023-12-09단지내 지하주차장NCA 1~36Y관리사무소관리소장관리대리052-219-84561개월
5울산광역시도시공사울산광역시 울주군 청량읍 율리영해2길 7울산광역시 울주군 청량읍 율리 1476-1시설물관리641고정식(전면)302023-05-15052-256-962535.525948129.24280912023-12-09단지내 E/LNCA 37~42Y관리사무소관리소장관리대리052-219-84561개월
6울산광역시도시공사울산광역시 울주군 청량읍 율리영해2길 7울산광역시 울주군 청량읍 율리 1476-1시설물관리1441고정식(전면)302023-05-15052-256-962535.525948129.24280912023-12-09단지내 주출입구/옥탑NCA 43~56Y관리사무소관리소장관리대리052-219-84561개월
7울산광역시도시공사울산광역시 울주군 청량읍 율리영해2길 7울산광역시 울주군 청량읍 율리 1476-1시설물관리1041고정식(전면)302023-05-15052-256-962535.525948129.24280912023-12-09단지내 옥외NCA 57~66Y관리사무소관리소장관리대리052-219-84561개월
8울산광역시도시공사울산광역시 울주군 청량읍 율리영해로13-9울산광역시 울주군 청량읍 율리 1477-1시설물관리12441고정식(전면)302023-05-15052-256-986535.52572129.24425482023-12-09방재실N124Y관리사무소소장관리부장052-219-84561주일
9울산광역시도시공사울산광역시 울주군 청량읍 율리영해로13-9울산광역시 울주군 청량읍 율리 1477-1시설물관리441고정식(전면)302023-01-18052-256-986535.52572129.24425482023-12-09방재실N4Y관리사무소소장관리부장052-219-84561주일
관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자상세위치비상벨설치여부관리번호작동현황관리부서관리자관리자(부)전화번호관리주기
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관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치연월관리기관전화번호위도경도데이터기준일자상세위치비상벨설치여부관리번호작동현황관리부서관리자관리자(부)전화번호관리주기# duplicates
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