Overview

Dataset statistics

Number of variables12
Number of observations296
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.3 KiB
Average record size in memory101.4 B

Variable types

Categorical4
Numeric4
Text3
DateTime1

Dataset

Description제주특별자치도에서 제공하는 어린이보호구역 내 폐회로텔레비전 관련 설치목적구분, 카메라대수, 보관일수, 위도, 경도 등 정보 입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15076541/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
카메라대수 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관리번호High correlation
설치목적구분 is highly overall correlated with 관리번호 and 2 other fieldsHigh correlation
보관일수 is highly overall correlated with 카메라대수 and 1 other fieldsHigh correlation
설치목적구분 is highly imbalanced (50.4%)Imbalance
보관일수 is highly imbalanced (71.6%)Imbalance
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:33:42.434363
Analysis finished2023-12-12 18:33:45.421174
Duration2.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
제주특별자치도
296 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 296
100.0%

Length

2023-12-13T03:33:45.491970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:45.588418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 296
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct296
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.5
Minimum1
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:33:45.693512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.75
Q174.75
median148.5
Q3222.25
95-th percentile281.25
Maximum296
Range295
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation85.592056
Coefficient of variation (CV)0.57637748
Kurtosis-1.2
Mean148.5
Median Absolute Deviation (MAD)74
Skewness0
Sum43956
Variance7326
MonotonicityStrictly increasing
2023-12-13T03:33:45.830895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
Other values (286) 286
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%

소재지도로명주소
Text

Distinct286
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:33:46.151586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length22.050676
Min length17

Characters and Unicode

Total characters6527
Distinct characters161
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

Unique277 ?
Unique (%)93.6%

Sample

1st row제주특별자치도 서귀포시 대정읍 에듀시티로 74
2nd row제주특별자치도 서귀포시 대정읍 에듀시티로 74
3rd row제주특별자치도 서귀포시 대정읍 글로벌에듀로260번길 29
4th row제주특별자치도 서귀포시 대정읍 글로벌에듀로145번길 40
5th row제주특별자치도 서귀포시 대정읍 글로벌에듀로145번길 60
ValueCountFrequency (%)
제주특별자치도 296
22.6%
제주시 180
 
13.7%
서귀포시 116
 
8.8%
애월읍 23
 
1.8%
대정읍 18
 
1.4%
남원읍 16
 
1.2%
구좌읍 15
 
1.1%
한림읍 13
 
1.0%
성산읍 12
 
0.9%
조천읍 11
 
0.8%
Other values (381) 612
46.6%
2023-12-13T03:33:46.607469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1016
15.6%
주 491
 
7.5%
제 479
 
7.3%
도 309
 
4.7%
시 300
 
4.6%
특 296
 
4.5%
별 296
 
4.5%
자 296
 
4.5%
치 296
 
4.5%
로 252
 
3.9%
Other values (151) 2496
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4611
70.6%
Space Separator 1016
 
15.6%
Decimal Number 876
 
13.4%
Dash Punctuation 24
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 491
 
10.6%
제 479
 
10.4%
도 309
 
6.7%
시 300
 
6.5%
특 296
 
6.4%
별 296
 
6.4%
자 296
 
6.4%
치 296
 
6.4%
로 252
 
5.5%
서 138
 
3.0%
Other values (139) 1458
31.6%
Decimal Number
ValueCountFrequency (%)
1 177
20.2%
2 148
16.9%
3 97
11.1%
5 85
9.7%
6 78
8.9%
4 76
8.7%
0 57
 
6.5%
9 54
 
6.2%
7 53
 
6.1%
8 51
 
5.8%
Space Separator
ValueCountFrequency (%)
1016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4611
70.6%
Common 1916
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 491
 
10.6%
제 479
 
10.4%
도 309
 
6.7%
시 300
 
6.5%
특 296
 
6.4%
별 296
 
6.4%
자 296
 
6.4%
치 296
 
6.4%
로 252
 
5.5%
서 138
 
3.0%
Other values (139) 1458
31.6%
Common
ValueCountFrequency (%)
1016
53.0%
1 177
 
9.2%
2 148
 
7.7%
3 97
 
5.1%
5 85
 
4.4%
6 78
 
4.1%
4 76
 
4.0%
0 57
 
3.0%
9 54
 
2.8%
7 53
 
2.8%
Other values (2) 75
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4611
70.6%
ASCII 1916
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1016
53.0%
1 177
 
9.2%
2 148
 
7.7%
3 97
 
5.1%
5 85
 
4.4%
6 78
 
4.1%
4 76
 
4.0%
0 57
 
3.0%
9 54
 
2.8%
7 53
 
2.8%
Other values (2) 75
 
3.9%
Hangul
ValueCountFrequency (%)
주 491
 
10.6%
제 479
 
10.4%
도 309
 
6.7%
시 300
 
6.5%
특 296
 
6.4%
별 296
 
6.4%
자 296
 
6.4%
치 296
 
6.4%
로 252
 
5.5%
서 138
 
3.0%
Other values (139) 1458
31.6%

소재지지번주소
Text

Distinct248
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:33:46.899208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.307432
Min length18

Characters and Unicode

Total characters6899
Distinct characters131
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

Unique214 ?
Unique (%)72.3%

Sample

1st row제주특별자치도 서귀포시 대정읍 보성리 2403
2nd row제주특별자치도 서귀포시 대정읍 보성리 2403
3rd row제주특별자치도 서귀포시 대정읍 구억리 1141
4th row제주특별자치도 서귀포시 대정읍 구억리 1079
5th row제주특별자치도 서귀포시 대정읍 구억리 1080
ValueCountFrequency (%)
제주특별자치도 296
22.6%
제주시 180
 
13.7%
서귀포시 116
 
8.8%
애월읍 23
 
1.8%
대정읍 18
 
1.4%
남원읍 16
 
1.2%
구좌읍 15
 
1.1%
한림읍 13
 
1.0%
서귀동 12
 
0.9%
노형동 12
 
0.9%
Other values (359) 611
46.6%
2023-12-13T03:33:47.362381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1016
 
14.7%
제 476
 
6.9%
주 476
 
6.9%
도 356
 
5.2%
시 297
 
4.3%
특 296
 
4.3%
별 296
 
4.3%
자 296
 
4.3%
치 296
 
4.3%
1 251
 
3.6%
Other values (121) 2843
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4412
64.0%
Decimal Number 1292
 
18.7%
Space Separator 1016
 
14.7%
Dash Punctuation 179
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 476
 
10.8%
주 476
 
10.8%
도 356
 
8.1%
시 297
 
6.7%
특 296
 
6.7%
별 296
 
6.7%
자 296
 
6.7%
치 296
 
6.7%
동 178
 
4.0%
귀 138
 
3.1%
Other values (109) 1307
29.6%
Decimal Number
ValueCountFrequency (%)
1 251
19.4%
2 216
16.7%
3 168
13.0%
5 129
10.0%
4 120
9.3%
8 94
 
7.3%
7 89
 
6.9%
0 81
 
6.3%
9 77
 
6.0%
6 67
 
5.2%
Space Separator
ValueCountFrequency (%)
1016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4412
64.0%
Common 2487
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 476
 
10.8%
주 476
 
10.8%
도 356
 
8.1%
시 297
 
6.7%
특 296
 
6.7%
별 296
 
6.7%
자 296
 
6.7%
치 296
 
6.7%
동 178
 
4.0%
귀 138
 
3.1%
Other values (109) 1307
29.6%
Common
ValueCountFrequency (%)
1016
40.9%
1 251
 
10.1%
2 216
 
8.7%
- 179
 
7.2%
3 168
 
6.8%
5 129
 
5.2%
4 120
 
4.8%
8 94
 
3.8%
7 89
 
3.6%
0 81
 
3.3%
Other values (2) 144
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4412
64.0%
ASCII 2487
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1016
40.9%
1 251
 
10.1%
2 216
 
8.7%
- 179
 
7.2%
3 168
 
6.8%
5 129
 
5.2%
4 120
 
4.8%
8 94
 
3.8%
7 89
 
3.6%
0 81
 
3.3%
Other values (2) 144
 
5.8%
Hangul
ValueCountFrequency (%)
제 476
 
10.8%
주 476
 
10.8%
도 356
 
8.1%
시 297
 
6.7%
특 296
 
6.7%
별 296
 
6.7%
자 296
 
6.7%
치 296
 
6.7%
동 178
 
4.0%
귀 138
 
3.1%
Other values (109) 1307
29.6%

설치목적구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
어린이보호
245 
생활방범
41 
기타
 
10

Length

Max length5
Median length5
Mean length4.7601351
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이보호 245
82.8%
생활방범 41
 
13.9%
기타 10
 
3.4%

Length

2023-12-13T03:33:47.521037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:47.635917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이보호 245
82.8%
생활방범 41
 
13.9%
기타 10
 
3.4%

카메라대수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3783784
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:33:47.749969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q35
95-th percentile6
Maximum21
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9112704
Coefficient of variation (CV)0.43652473
Kurtosis30.891309
Mean4.3783784
Median Absolute Deviation (MAD)1
Skewness4.4643273
Sum1296
Variance3.6529546
MonotonicityNot monotonic
2023-12-13T03:33:47.884285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 106
35.8%
5 79
26.7%
3 67
22.6%
6 23
 
7.8%
1 5
 
1.7%
2 5
 
1.7%
7 4
 
1.4%
15 2
 
0.7%
8 2
 
0.7%
17 1
 
0.3%
Other values (2) 2
 
0.7%
ValueCountFrequency (%)
1 5
 
1.7%
2 5
 
1.7%
3 67
22.6%
4 106
35.8%
5 79
26.7%
6 23
 
7.8%
7 4
 
1.4%
8 2
 
0.7%
11 1
 
0.3%
15 2
 
0.7%
ValueCountFrequency (%)
21 1
 
0.3%
17 1
 
0.3%
15 2
 
0.7%
11 1
 
0.3%
8 2
 
0.7%
7 4
 
1.4%
6 23
 
7.8%
5 79
26.7%
4 106
35.8%
3 67
22.6%

촬영방면정보
Text

Distinct274
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-13T03:33:48.158194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.7060811
Min length3

Characters and Unicode

Total characters2281
Distinct characters237
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

Unique254 ?
Unique (%)85.8%

Sample

1st row영어6호근린공원
2nd row영어6호근린공원
3rd row한국국제학교3
4th row노스런던칼리지1
5th row노스런던칼리지2
ValueCountFrequency (%)
정문 108
 
17.2%
후문 47
 
7.5%
사거리 21
 
3.3%
삼거리 19
 
3.0%
앞 17
 
2.7%
동측 17
 
2.7%
서측 14
 
2.2%
남측 8
 
1.3%
서귀중앙초 6
 
1.0%
대정초 6
 
1.0%
Other values (237) 365
58.1%
2023-12-13T03:33:48.589204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
 
14.6%
초 225
 
9.9%
문 171
 
7.5%
정 122
 
5.3%
리 57
 
2.5%
후 55
 
2.4%
거 49
 
2.1%
서 46
 
2.0%
측 45
 
2.0%
동 43
 
1.9%
Other values (227) 1136
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1897
83.2%
Space Separator 332
 
14.6%
Decimal Number 41
 
1.8%
Uppercase Letter 10
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 225
 
11.9%
문 171
 
9.0%
정 122
 
6.4%
리 57
 
3.0%
후 55
 
2.9%
거 49
 
2.6%
서 46
 
2.4%
측 45
 
2.4%
동 43
 
2.3%
사 33
 
1.7%
Other values (210) 1051
55.4%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 12
29.3%
5 4
 
9.8%
3 3
 
7.3%
8 3
 
7.3%
6 3
 
7.3%
4 2
 
4.9%
0 1
 
2.4%
9 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
G 3
30.0%
H 1
 
10.0%
L 1
 
10.0%
K 1
 
10.0%
T 1
 
10.0%
Space Separator
ValueCountFrequency (%)
332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1897
83.2%
Common 374
 
16.4%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 225
 
11.9%
문 171
 
9.0%
정 122
 
6.4%
리 57
 
3.0%
후 55
 
2.9%
거 49
 
2.6%
서 46
 
2.4%
측 45
 
2.4%
동 43
 
2.3%
사 33
 
1.7%
Other values (210) 1051
55.4%
Common
ValueCountFrequency (%)
332
88.8%
1 12
 
3.2%
2 12
 
3.2%
5 4
 
1.1%
3 3
 
0.8%
8 3
 
0.8%
6 3
 
0.8%
4 2
 
0.5%
- 1
 
0.3%
0 1
 
0.3%
Latin
ValueCountFrequency (%)
S 3
30.0%
G 3
30.0%
H 1
 
10.0%
L 1
 
10.0%
K 1
 
10.0%
T 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1897
83.2%
ASCII 384
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
86.5%
1 12
 
3.1%
2 12
 
3.1%
5 4
 
1.0%
3 3
 
0.8%
S 3
 
0.8%
G 3
 
0.8%
8 3
 
0.8%
6 3
 
0.8%
4 2
 
0.5%
Other values (7) 7
 
1.8%
Hangul
ValueCountFrequency (%)
초 225
 
11.9%
문 171
 
9.0%
정 122
 
6.4%
리 57
 
3.0%
후 55
 
2.9%
거 49
 
2.6%
서 46
 
2.4%
측 45
 
2.4%
동 43
 
2.3%
사 33
 
1.7%
Other values (210) 1051
55.4%

보관일수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
30
272 
<NA>
 
21
2
 
3

Length

Max length4
Median length2
Mean length2.1317568
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
30 272
91.9%
<NA> 21
 
7.1%
2 3
 
1.0%

Length

2023-12-13T03:33:48.739601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:48.839439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 272
91.9%
na 21
 
7.1%
2 3
 
1.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
064-120
296 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row064-120
2nd row064-120
3rd row064-120
4th row064-120
5th row064-120

Common Values

ValueCountFrequency (%)
064-120 296
100.0%

Length

2023-12-13T03:33:48.932558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:33:49.021497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
064-120 296
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct294
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.406589
Minimum33.169048
Maximum33.555525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:33:49.135355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.169048
5-th percentile33.243683
Q133.278287
median33.464008
Q333.503095
95-th percentile33.534571
Maximum33.555525
Range0.386477
Interquartile range (IQR)0.22480775

Descriptive statistics

Standard deviation0.11261749
Coefficient of variation (CV)0.0033711161
Kurtosis-1.5317021
Mean33.406589
Median Absolute Deviation (MAD)0.0534455
Skewness-0.42987097
Sum9888.3504
Variance0.012682699
MonotonicityNot monotonic
2023-12-13T03:33:49.292239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.284544 2
 
0.7%
33.283556 2
 
0.7%
33.290355 1
 
0.3%
33.479987 1
 
0.3%
33.55484 1
 
0.3%
33.551208 1
 
0.3%
33.537566 1
 
0.3%
33.492063 1
 
0.3%
33.522248 1
 
0.3%
33.551781 1
 
0.3%
Other values (284) 284
95.9%
ValueCountFrequency (%)
33.169048 1
0.3%
33.224498 1
0.3%
33.224551 1
0.3%
33.224659 1
0.3%
33.224668 1
0.3%
33.224825 1
0.3%
33.225646 1
0.3%
33.231788 1
0.3%
33.232285 1
0.3%
33.234741 1
0.3%
ValueCountFrequency (%)
33.555525 1
0.3%
33.554938 1
0.3%
33.55484 1
0.3%
33.552886 1
0.3%
33.551781 1
0.3%
33.551208 1
0.3%
33.547391 1
0.3%
33.539867 1
0.3%
33.539258 1
0.3%
33.538768 1
0.3%

경도
Real number (ℝ)

Distinct294
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52764
Minimum126.17616
Maximum126.93094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T03:33:49.422003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.17616
5-th percentile126.25618
Q1126.4376
median126.52958
Q3126.5876
95-th percentile126.85162
Maximum126.93094
Range0.754778
Interquartile range (IQR)0.14999275

Descriptive statistics

Standard deviation0.16619111
Coefficient of variation (CV)0.0013134767
Kurtosis-0.012241357
Mean126.52764
Median Absolute Deviation (MAD)0.069558
Skewness0.23642119
Sum37452.182
Variance0.027619485
MonotonicityNot monotonic
2023-12-13T03:33:49.545039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.632868 2
 
0.7%
126.632063 2
 
0.7%
126.283649 1
 
0.3%
126.447194 1
 
0.3%
126.750568 1
 
0.3%
126.798693 1
 
0.3%
126.828976 1
 
0.3%
126.896909 1
 
0.3%
126.858049 1
 
0.3%
126.712752 1
 
0.3%
Other values (284) 284
95.9%
ValueCountFrequency (%)
126.17616 1
0.3%
126.177991 1
0.3%
126.179432 1
0.3%
126.183115 1
0.3%
126.200889 1
0.3%
126.201121 1
0.3%
126.235799 1
0.3%
126.237032 1
0.3%
126.238373 1
0.3%
126.251983 1
0.3%
ValueCountFrequency (%)
126.930938 1
0.3%
126.91489 1
0.3%
126.913763 1
0.3%
126.913316 1
0.3%
126.897359 1
0.3%
126.896909 1
0.3%
126.896463 1
0.3%
126.896388 1
0.3%
126.886431 1
0.3%
126.884859 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2020-12-31 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T03:33:49.673824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:49.770962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T03:33:44.689706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.090650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.575042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.278628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.791238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.202495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.675705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.379081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.903997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.329445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.777009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.480657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:45.002490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:43.453455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.177620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:33:44.586730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:33:49.840769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호설치목적구분카메라대수보관일수위도경도
관리번호1.0000.6740.3050.4850.7730.611
설치목적구분0.6741.0000.6570.5080.3950.171
카메라대수0.3050.6571.0001.0000.3550.000
보관일수0.4850.5081.0001.0000.0440.000
위도0.7730.3950.3550.0441.0000.837
경도0.6110.1710.0000.0000.8371.000
2023-12-13T03:33:49.931554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치목적구분보관일수
설치목적구분1.0000.768
보관일수0.7681.000
2023-12-13T03:33:50.004869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호카메라대수위도경도설치목적구분보관일수
관리번호1.0000.2580.676-0.1060.5110.367
카메라대수0.2581.0000.259-0.0960.5270.991
위도0.6760.2591.0000.2710.2560.042
경도-0.106-0.0960.2711.0000.1010.000
설치목적구분0.5110.5270.2560.1011.0000.768
보관일수0.3670.9910.0420.0000.7681.000

Missing values

2023-12-13T03:33:45.170883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:33:45.355838image/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

관리기관명관리번호소재지도로명주소소재지지번주소설치목적구분카메라대수촬영방면정보보관일수관리기관전화번호위도경도데이터기준일자
0제주특별자치도1제주특별자치도 서귀포시 대정읍 에듀시티로 74제주특별자치도 서귀포시 대정읍 보성리 2403어린이보호5영어6호근린공원30064-12033.290355126.2836492020-12-31
1제주특별자치도2제주특별자치도 서귀포시 대정읍 에듀시티로 74제주특별자치도 서귀포시 대정읍 보성리 2403어린이보호5영어6호근린공원30064-12033.290384126.2836632020-12-31
2제주특별자치도3제주특별자치도 서귀포시 대정읍 글로벌에듀로260번길 29제주특별자치도 서귀포시 대정읍 구억리 1141어린이보호5한국국제학교330064-12033.287733126.2847042020-12-31
3제주특별자치도4제주특별자치도 서귀포시 대정읍 글로벌에듀로145번길 40제주특별자치도 서귀포시 대정읍 구억리 1079어린이보호5노스런던칼리지130064-12033.296008126.2893712020-12-31
4제주특별자치도5제주특별자치도 서귀포시 대정읍 글로벌에듀로145번길 60제주특별자치도 서귀포시 대정읍 구억리 1080어린이보호4노스런던칼리지230064-12033.295837126.2917122020-12-31
5제주특별자치도6제주특별자치도 서귀포시 대정읍 글로벌에듀로260번길 7제주특별자치도 서귀포시 대정읍 구억리 1143어린이보호5한국국제학교230064-12033.286823126.2870052020-12-31
6제주특별자치도7제주특별자치도 서귀포시 남원읍 신례로 213제주특별자치도 서귀포시 남원읍 신례리 822-1어린이보호3신례초 후문30064-12033.284544126.6328682020-12-31
7제주특별자치도8제주특별자치도 서귀포시 남원읍 중산간동로 7122제주특별자치도 서귀포시 남원읍 신례리 822-3어린이보호3신례초 정문30064-12033.283556126.6320632020-12-31
8제주특별자치도9제주특별자치도 서귀포시 남원읍 신례로 213제주특별자치도 서귀포시 남원읍 신례리 822-1어린이보호3신례초 후문30064-12033.284544126.6328682020-12-31
9제주특별자치도10제주특별자치도 서귀포시 남원읍 중산간동로 7122제주특별자치도 서귀포시 남원읍 신례리 822-3어린이보호3신례초 정문30064-12033.283556126.6320632020-12-31
관리기관명관리번호소재지도로명주소소재지지번주소설치목적구분카메라대수촬영방면정보보관일수관리기관전화번호위도경도데이터기준일자
286제주특별자치도287제주특별자치도 제주시 삼성로5길 41제주특별자치도 제주시 일도일동 936-22생활방범4남수각방면30064-12033.509599126.5277352020-12-31
287제주특별자치도288제주특별자치도 제주시 성화로6길 38제주특별자치도 제주시 용담이동 606-63생활방범3아이맘어린이집앞30064-12033.511196126.5093512020-12-31
288제주특별자치도289제주특별자치도 제주시 일주동로 398제주특별자치도 제주시 삼양이동 1496-4기타1삼양해수욕장입구<NA>064-12033.521267126.5874462020-12-31
289제주특별자치도290제주특별자치도 제주시 고마로9길 25제주특별자치도 제주시 일도2동 157-25생활방범5성환사라봉 아파트30064-12033.510914126.5418722020-12-31
290제주특별자치도291제주특별자치도 제주시 동광로23길 5제주특별자치도 제주시 일도2동 153-5어린이보호4영락유치원230064-12033.510905126.5434142020-12-31
291제주특별자치도292제주특별자치도 제주시 고마로13길 40제주특별자치도 제주시 일도2동 153-5어린이보호5영락유치원130064-12033.510783126.5426312020-12-31
292제주특별자치도293제주특별자치도 제주시 거로남6길 41제주특별자치도 제주시 화북2동 3412어린이보호4마야유치원30064-12033.508261126.5644752020-12-31
293제주특별자치도294제주특별자치도 제주시 황새왓길 21제주특별자치도 제주시 이도2동 13-2어린이보호4제주국제대유치원30064-12033.498169126.5514432020-12-31
294제주특별자치도295제주특별자치도 제주시 연북로 559제주특별자치도 제주시 이도2동 2020-5어린이보호4전원유치원30064-12033.487059126.5390212020-12-31
295제주특별자치도296제주특별자치도 제주시 수덕로 69제주특별자치도 제주시 노형동 2585-4어린이보호5새순유치원30064-12033.484735126.4708182020-12-31