Overview

Dataset statistics

Number of variables20
Number of observations1615
Missing cells136
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory263.5 KiB
Average record size in memory167.1 B

Variable types

Text5
Categorical10
Numeric2
Boolean2
DateTime1

Dataset

Description광주광역시 광산소방서에서 화재진압(소방활동) 시 사용하기 위하여 유지·관리중인 소방용수(소화전, 급수탑, 저수조 등) 현황
URLhttps://www.data.go.kr/data/15054971/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
사용가능여부 has constant value ""Constant
배관깊이 has constant value ""Constant
출수압력 has constant value ""Constant
배관지름 has constant value ""Constant
관할기관명 has constant value ""Constant
관할기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설유형코드 is highly imbalanced (66.9%)Imbalance
소재지도로명주소 has 135 (8.4%) missing valuesMissing
경도 is highly skewed (γ1 = 40.18706259)Skewed

Reproduction

Analysis started2023-12-12 00:31:38.381120
Analysis finished2023-12-12 00:31:40.660533
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Text

Distinct1524
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-12T09:31:40.972915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2055728
Min length4

Characters and Unicode

Total characters10022
Distinct characters14
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

Unique1452 ?
Unique (%)89.9%

Sample

1st row광산-76
2nd row광산-77
3rd row광산-215
4th row광산-224
5th row광산-225
ValueCountFrequency (%)
광산-3 4
 
0.2%
광산-9 4
 
0.2%
광산-7 4
 
0.2%
광산-4 4
 
0.2%
광산-1 4
 
0.2%
광산-8 4
 
0.2%
광산-10 4
 
0.2%
광산-12 3
 
0.2%
광산-6 3
 
0.2%
광산-11 3
 
0.2%
Other values (1515) 1579
97.7%
2023-12-12T09:31:41.456259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1615
16.1%
산 1615
16.1%
- 1615
16.1%
1 1081
10.8%
3 531
 
5.3%
4 531
 
5.3%
2 530
 
5.3%
5 478
 
4.8%
6 422
 
4.2%
7 412
 
4.1%
Other values (4) 1192
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5176
51.6%
Other Letter 3230
32.2%
Dash Punctuation 1615
 
16.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1081
20.9%
3 531
10.3%
4 531
10.3%
2 530
10.2%
5 478
9.2%
6 422
 
8.2%
7 412
 
8.0%
0 406
 
7.8%
9 393
 
7.6%
8 392
 
7.6%
Other Letter
ValueCountFrequency (%)
광 1615
50.0%
산 1615
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1615
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6792
67.8%
Hangul 3230
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1615
23.8%
1 1081
15.9%
3 531
 
7.8%
4 531
 
7.8%
2 530
 
7.8%
5 478
 
7.0%
6 422
 
6.2%
7 412
 
6.1%
0 406
 
6.0%
9 393
 
5.8%
Other values (2) 393
 
5.8%
Hangul
ValueCountFrequency (%)
광 1615
50.0%
산 1615
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6792
67.8%
Hangul 3230
32.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1615
50.0%
산 1615
50.0%
ASCII
ValueCountFrequency (%)
- 1615
23.8%
1 1081
15.9%
3 531
 
7.8%
4 531
 
7.8%
2 530
 
7.8%
5 478
 
7.0%
6 422
 
6.2%
7 412
 
6.1%
0 406
 
6.0%
9 393
 
5.8%
Other values (2) 393
 
5.8%

시설유형코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
1
1391 
2
 
135
6
 
70
4
 
10
3
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1391
86.1%
2 135
 
8.4%
6 70
 
4.3%
4 10
 
0.6%
3 9
 
0.6%

Length

2023-12-12T09:31:41.620207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:41.724476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1391
86.1%
2 135
 
8.4%
6 70
 
4.3%
4 10
 
0.6%
3 9
 
0.6%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
광주광역시
1615 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 1615
100.0%

Length

2023-12-12T09:31:41.851707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:41.975363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 1615
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
광산구
1615 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산구 1615
100.0%

Length

2023-12-12T09:31:42.074994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:42.168980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산구 1615
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
36300
1615 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36300
2nd row36300
3rd row36300
4th row36300
5th row36300

Common Values

ValueCountFrequency (%)
36300 1615
100.0%

Length

2023-12-12T09:31:42.277004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:42.380151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36300 1615
100.0%

소재지도로명주소
Text

MISSING 

Distinct1265
Distinct (%)85.5%
Missing135
Missing (%)8.4%
Memory size12.7 KiB
2023-12-12T09:31:42.629667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length19.822973
Min length15

Characters and Unicode

Total characters29338
Distinct characters150
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

Unique1104 ?
Unique (%)74.6%

Sample

1st row광주광역시 광산구 하남산단9번로 85
2nd row광주광역시 광산구 하남산단10번로 25
3rd row광주광역시 광산구 손재로 512-17
4th row광주광역시 광산구 손재로 524
5th row광주광역시 광산구 용아로 736
ValueCountFrequency (%)
광주광역시 1480
24.4%
광산구 1480
24.4%
하남산단 41
 
0.7%
풍영로 39
 
0.6%
용아로 36
 
0.6%
평동산단로 33
 
0.5%
사암로 32
 
0.5%
평동로 31
 
0.5%
월계로 29
 
0.5%
평동산단3번로 28
 
0.5%
Other values (1046) 2842
46.8%
2023-12-12T09:31:43.032467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4685
16.0%
광 4460
15.2%
산 1937
 
6.6%
구 1484
 
5.1%
주 1481
 
5.0%
역 1480
 
5.0%
시 1480
 
5.0%
로 1317
 
4.5%
1 1075
 
3.7%
2 795
 
2.7%
Other values (140) 9144
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18993
64.7%
Decimal Number 5331
 
18.2%
Space Separator 4685
 
16.0%
Dash Punctuation 323
 
1.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 4460
23.5%
산 1937
10.2%
구 1484
 
7.8%
주 1481
 
7.8%
역 1480
 
7.8%
시 1480
 
7.8%
로 1317
 
6.9%
번 752
 
4.0%
길 624
 
3.3%
단 427
 
2.2%
Other values (126) 3551
18.7%
Decimal Number
ValueCountFrequency (%)
1 1075
20.2%
2 795
14.9%
3 653
12.2%
5 478
9.0%
6 423
 
7.9%
4 412
 
7.7%
0 408
 
7.7%
8 391
 
7.3%
7 358
 
6.7%
9 338
 
6.3%
Space Separator
ValueCountFrequency (%)
4685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18993
64.7%
Common 10345
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 4460
23.5%
산 1937
10.2%
구 1484
 
7.8%
주 1481
 
7.8%
역 1480
 
7.8%
시 1480
 
7.8%
로 1317
 
6.9%
번 752
 
4.0%
길 624
 
3.3%
단 427
 
2.2%
Other values (126) 3551
18.7%
Common
ValueCountFrequency (%)
4685
45.3%
1 1075
 
10.4%
2 795
 
7.7%
3 653
 
6.3%
5 478
 
4.6%
6 423
 
4.1%
4 412
 
4.0%
0 408
 
3.9%
8 391
 
3.8%
7 358
 
3.5%
Other values (4) 667
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18993
64.7%
ASCII 10345
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4685
45.3%
1 1075
 
10.4%
2 795
 
7.7%
3 653
 
6.3%
5 478
 
4.6%
6 423
 
4.1%
4 412
 
4.0%
0 408
 
3.9%
8 391
 
3.8%
7 358
 
3.5%
Other values (4) 667
 
6.4%
Hangul
ValueCountFrequency (%)
광 4460
23.5%
산 1937
10.2%
구 1484
 
7.8%
주 1481
 
7.8%
역 1480
 
7.8%
시 1480
 
7.8%
로 1317
 
6.9%
번 752
 
4.0%
길 624
 
3.3%
단 427
 
2.2%
Other values (126) 3551
18.7%

소재지지번주소
Text

Distinct1383
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-12T09:31:43.309947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.636533
Min length15

Characters and Unicode

Total characters30098
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1210 ?
Unique (%)74.9%

Sample

1st row광주광역시 광산구 안청동 732-1
2nd row광주광역시 광산구 안청동 727-4
3rd row광주광역시 광산구 안청동 735-10
4th row광주광역시 광산구 안청동 735-2
5th row광주광역시 광산구 안청동 738-4
ValueCountFrequency (%)
광주광역시 1615
25.3%
광산구 1614
25.2%
월전동 118
 
1.8%
장덕동 111
 
1.7%
우산동 81
 
1.3%
신가동 78
 
1.2%
송정동 76
 
1.2%
하남동 63
 
1.0%
소촌동 62
 
1.0%
용동 55
 
0.9%
Other values (1343) 2521
39.4%
2023-12-12T09:31:43.810481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4910
16.3%
광 4847
16.1%
산 1864
 
6.2%
동 1625
 
5.4%
역 1615
 
5.4%
시 1615
 
5.4%
주 1615
 
5.4%
구 1614
 
5.4%
1 1413
 
4.7%
- 1007
 
3.3%
Other values (77) 7973
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17671
58.7%
Decimal Number 6509
 
21.6%
Space Separator 4910
 
16.3%
Dash Punctuation 1007
 
3.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 4847
27.4%
산 1864
 
10.5%
동 1625
 
9.2%
역 1615
 
9.1%
시 1615
 
9.1%
주 1615
 
9.1%
구 1614
 
9.1%
월 260
 
1.5%
장 159
 
0.9%
덕 152
 
0.9%
Other values (64) 2305
13.0%
Decimal Number
ValueCountFrequency (%)
1 1413
21.7%
2 662
10.2%
6 637
9.8%
7 628
9.6%
5 610
9.4%
8 592
9.1%
3 512
 
7.9%
9 500
 
7.7%
0 495
 
7.6%
4 460
 
7.1%
Space Separator
ValueCountFrequency (%)
4910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1007
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17671
58.7%
Common 12427
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 4847
27.4%
산 1864
 
10.5%
동 1625
 
9.2%
역 1615
 
9.1%
시 1615
 
9.1%
주 1615
 
9.1%
구 1614
 
9.1%
월 260
 
1.5%
장 159
 
0.9%
덕 152
 
0.9%
Other values (64) 2305
13.0%
Common
ValueCountFrequency (%)
4910
39.5%
1 1413
 
11.4%
- 1007
 
8.1%
2 662
 
5.3%
6 637
 
5.1%
7 628
 
5.1%
5 610
 
4.9%
8 592
 
4.8%
3 512
 
4.1%
9 500
 
4.0%
Other values (3) 956
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17671
58.7%
ASCII 12427
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4910
39.5%
1 1413
 
11.4%
- 1007
 
8.1%
2 662
 
5.3%
6 637
 
5.1%
7 628
 
5.1%
5 610
 
4.9%
8 592
 
4.8%
3 512
 
4.1%
9 500
 
4.0%
Other values (3) 956
 
7.7%
Hangul
ValueCountFrequency (%)
광 4847
27.4%
산 1864
 
10.5%
동 1625
 
9.2%
역 1615
 
9.1%
시 1615
 
9.1%
주 1615
 
9.1%
구 1614
 
9.1%
월 260
 
1.5%
장 159
 
0.9%
덕 152
 
0.9%
Other values (64) 2305
13.0%

위도
Text

Distinct1538
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-12T09:31:44.157592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.923839
Min length5

Characters and Unicode

Total characters14412
Distinct characters12
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

Unique1469 ?
Unique (%)91.0%

Sample

1st row35.213628
2nd row35.215151
3rd row35.211189
4th row35.21351
5th row35.208562
ValueCountFrequency (%)
35.11796 4
 
0.2%
35.115326 3
 
0.2%
35.120171 3
 
0.2%
35.120458 3
 
0.2%
35.214135 3
 
0.2%
35.13312 3
 
0.2%
35.200829 3
 
0.2%
35.199356 2
 
0.1%
35.134499 2
 
0.1%
35.10303 2
 
0.1%
Other values (1528) 1587
98.3%
2023-12-12T09:31:44.628878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2511
17.4%
5 2331
16.2%
1 2132
14.8%
. 1615
11.2%
2 1184
8.2%
8 859
 
6.0%
9 821
 
5.7%
6 789
 
5.5%
7 781
 
5.4%
4 744
 
5.2%
Other values (2) 645
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12796
88.8%
Other Punctuation 1616
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2511
19.6%
5 2331
18.2%
1 2132
16.7%
2 1184
9.3%
8 859
 
6.7%
9 821
 
6.4%
6 789
 
6.2%
7 781
 
6.1%
4 744
 
5.8%
0 644
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1615
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2511
17.4%
5 2331
16.2%
1 2132
14.8%
. 1615
11.2%
2 1184
8.2%
8 859
 
6.0%
9 821
 
5.7%
6 789
 
5.5%
7 781
 
5.4%
4 744
 
5.2%
Other values (2) 645
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2511
17.4%
5 2331
16.2%
1 2132
14.8%
. 1615
11.2%
2 1184
8.2%
8 859
 
6.0%
9 821
 
5.7%
6 789
 
5.5%
7 781
 
5.4%
4 744
 
5.2%
Other values (2) 645
 
4.5%

경도
Real number (ℝ)

SKEWED 

Distinct1537
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78560.457
Minimum126.08705
Maximum1.2667046 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-12T09:31:44.784547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08705
5-th percentile126.70279
Q1126.77278
median126.79886
Q3126.81651
95-th percentile126.84336
Maximum1.2667046 × 108
Range1.2667033 × 108
Interquartile range (IQR)0.043733

Descriptive statistics

Standard deviation3152017.7
Coefficient of variation (CV)40.122191
Kurtosis1615
Mean78560.457
Median Absolute Deviation (MAD)0.022499
Skewness40.187063
Sum1.2687514 × 108
Variance9.9352155 × 1012
MonotonicityNot monotonic
2023-12-12T09:31:44.974034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.772259 4
 
0.2%
126.776855 3
 
0.2%
126.774144 3
 
0.2%
126.833804 3
 
0.2%
126.848837 3
 
0.2%
126.772777 3
 
0.2%
126.753754 3
 
0.2%
126.796545 3
 
0.2%
126.702795 2
 
0.1%
126.840268 2
 
0.1%
Other values (1527) 1586
98.2%
ValueCountFrequency (%)
126.087052 1
0.1%
126.657093 1
0.1%
126.658703 2
0.1%
126.667338 1
0.1%
126.668043 1
0.1%
126.668889 1
0.1%
126.669081 1
0.1%
126.669414 1
0.1%
126.670059 1
0.1%
126.670515 1
0.1%
ValueCountFrequency (%)
126670459.0 1
0.1%
163.83592 1
0.1%
126.857555 1
0.1%
126.855533 1
0.1%
126.85388 1
0.1%
126.852821 1
0.1%
126.852801 1
0.1%
126.852795 1
0.1%
126.852792 1
0.1%
126.852175 1
0.1%

상세위치
Text

Distinct1504
Distinct (%)93.2%
Missing1
Missing (%)0.1%
Memory size12.7 KiB
2023-12-12T09:31:45.271821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length10.653036
Min length2

Characters and Unicode

Total characters17194
Distinct characters585
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1467 ?
Unique (%)90.9%

Sample

1st row두영실업 좌측 50m
2nd row나산산업 맞은편
3rd row동신실업 앞
4th row현대오일뱅크주유소 앞
5th row나우텍 맞은편
ValueCountFrequency (%)
앞 548
 
13.2%
건너편 155
 
3.7%
옆 147
 
3.5%
정문 141
 
3.4%
인도 129
 
3.1%
입구 126
 
3.0%
우측 108
 
2.6%
좌측 107
 
2.6%
삼거리 50
 
1.2%
공터 44
 
1.1%
Other values (1738) 2604
62.6%
2023-12-12T09:31:45.780924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2573
 
15.0%
앞 617
 
3.6%
동 291
 
1.7%
측 276
 
1.6%
정 273
 
1.6%
도 253
 
1.5%
인 251
 
1.5%
1 248
 
1.4%
편 247
 
1.4%
( 237
 
1.4%
Other values (575) 11928
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12854
74.8%
Space Separator 2573
 
15.0%
Decimal Number 897
 
5.2%
Open Punctuation 237
 
1.4%
Close Punctuation 234
 
1.4%
Uppercase Letter 215
 
1.3%
Lowercase Letter 102
 
0.6%
Dash Punctuation 37
 
0.2%
Other Punctuation 26
 
0.2%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 617
 
4.8%
동 291
 
2.3%
측 276
 
2.1%
정 273
 
2.1%
도 253
 
2.0%
인 251
 
2.0%
편 247
 
1.9%
리 214
 
1.7%
문 202
 
1.6%
건 201
 
1.6%
Other values (514) 10029
78.0%
Uppercase Letter
ValueCountFrequency (%)
S 31
14.4%
G 26
12.1%
M 25
11.6%
K 22
10.2%
C 14
 
6.5%
L 14
 
6.5%
D 9
 
4.2%
A 9
 
4.2%
T 9
 
4.2%
E 8
 
3.7%
Other values (12) 48
22.3%
Lowercase Letter
ValueCountFrequency (%)
m 76
74.5%
e 4
 
3.9%
s 4
 
3.9%
c 2
 
2.0%
r 2
 
2.0%
o 2
 
2.0%
f 2
 
2.0%
a 2
 
2.0%
p 1
 
1.0%
t 1
 
1.0%
Other values (6) 6
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 248
27.6%
0 225
25.1%
2 118
13.2%
3 78
 
8.7%
5 66
 
7.4%
4 53
 
5.9%
6 33
 
3.7%
7 28
 
3.1%
9 25
 
2.8%
8 23
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 14
53.8%
& 4
 
15.4%
/ 4
 
15.4%
. 3
 
11.5%
@ 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
~ 9
75.0%
+ 2
 
16.7%
→ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2573
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12861
74.8%
Common 4016
 
23.4%
Latin 317
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 617
 
4.8%
동 291
 
2.3%
측 276
 
2.1%
정 273
 
2.1%
도 253
 
2.0%
인 251
 
2.0%
편 247
 
1.9%
리 214
 
1.7%
문 202
 
1.6%
건 201
 
1.6%
Other values (515) 10036
78.0%
Latin
ValueCountFrequency (%)
m 76
24.0%
S 31
 
9.8%
G 26
 
8.2%
M 25
 
7.9%
K 22
 
6.9%
C 14
 
4.4%
L 14
 
4.4%
D 9
 
2.8%
A 9
 
2.8%
T 9
 
2.8%
Other values (28) 82
25.9%
Common
ValueCountFrequency (%)
2573
64.1%
1 248
 
6.2%
( 237
 
5.9%
) 234
 
5.8%
0 225
 
5.6%
2 118
 
2.9%
3 78
 
1.9%
5 66
 
1.6%
4 53
 
1.3%
- 37
 
0.9%
Other values (12) 147
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12854
74.8%
ASCII 4332
 
25.2%
None 7
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2573
59.4%
1 248
 
5.7%
( 237
 
5.5%
) 234
 
5.4%
0 225
 
5.2%
2 118
 
2.7%
3 78
 
1.8%
m 76
 
1.8%
5 66
 
1.5%
4 53
 
1.2%
Other values (49) 424
 
9.8%
Hangul
ValueCountFrequency (%)
앞 617
 
4.8%
동 291
 
2.3%
측 276
 
2.1%
정 273
 
2.1%
도 253
 
2.0%
인 251
 
2.0%
편 247
 
1.9%
리 214
 
1.7%
문 202
 
1.6%
건 201
 
1.6%
Other values (514) 10029
78.0%
None
ValueCountFrequency (%)
㈜ 7
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

안전센터명
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
하남119안전센터
396 
평동119안전센터
373 
송정119안전센터
172 
신가119안전센터
153 
월곡119안전센터
142 
Other values (3)
379 

Length

Max length10
Median length9
Mean length9.0823529
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하남119안전센터
2nd row하남119안전센터
3rd row하남119안전센터
4th row하남119안전센터
5th row하남119안전센터

Common Values

ValueCountFrequency (%)
하남119안전센터 396
24.5%
평동119안전센터 373
23.1%
송정119안전센터 172
10.7%
신가119안전센터 153
 
9.5%
월곡119안전센터 142
 
8.8%
빛그린119안전센터 133
 
8.2%
첨단119안전센터 131
 
8.1%
비아119안전센터 115
 
7.1%

Length

2023-12-12T09:31:45.916824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:46.055573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하남119안전센터 396
24.5%
평동119안전센터 373
23.1%
송정119안전센터 172
10.7%
신가119안전센터 153
 
9.5%
월곡119안전센터 142
 
8.8%
빛그린119안전센터 133
 
8.2%
첨단119안전센터 131
 
8.1%
비아119안전센터 115
 
7.1%

보호틀유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
False
936 
True
679 
ValueCountFrequency (%)
False 936
58.0%
True 679
42.0%
2023-12-12T09:31:46.218203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
True
1615 
ValueCountFrequency (%)
True 1615
100.0%
2023-12-12T09:31:46.303503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설치연도
Real number (ℝ)

Distinct40
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.8074
Minimum1971
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-12T09:31:46.395272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1971
5-th percentile1989
Q11995
median2004
Q32013
95-th percentile2021
Maximum2023
Range52
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.1657
Coefficient of variation (CV)0.0050706616
Kurtosis-1.0371913
Mean2004.8074
Median Absolute Deviation (MAD)9
Skewness0.11160784
Sum3237764
Variance103.34146
MonotonicityNot monotonic
2023-12-12T09:31:46.519793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1995 189
 
11.7%
2000 104
 
6.4%
2008 103
 
6.4%
2016 97
 
6.0%
1994 95
 
5.9%
1989 90
 
5.6%
2010 90
 
5.6%
2004 83
 
5.1%
2009 75
 
4.6%
2022 73
 
4.5%
Other values (30) 616
38.1%
ValueCountFrequency (%)
1971 1
 
0.1%
1980 8
 
0.5%
1985 3
 
0.2%
1986 1
 
0.1%
1988 2
 
0.1%
1989 90
5.6%
1990 2
 
0.1%
1991 3
 
0.2%
1992 8
 
0.5%
1993 49
3.0%
ValueCountFrequency (%)
2023 7
 
0.4%
2022 73
4.5%
2021 23
 
1.4%
2020 73
4.5%
2019 60
3.7%
2018 18
 
1.1%
2017 32
 
2.0%
2016 97
6.0%
2015 11
 
0.7%
2014 5
 
0.3%

배관깊이
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
8.1
1615 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.1
2nd row8.1
3rd row8.1
4th row8.1
5th row8.1

Common Values

ValueCountFrequency (%)
8.1 1615
100.0%

Length

2023-12-12T09:31:46.677565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:46.784317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8.1 1615
100.0%

출수압력
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
5.5
1615 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.5
2nd row5.5
3rd row5.5
4th row5.5
5th row5.5

Common Values

ValueCountFrequency (%)
5.5 1615
100.0%

Length

2023-12-12T09:31:46.882148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:46.966937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.5 1615
100.0%

배관지름
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
100
1615 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 1615
100.0%

Length

2023-12-12T09:31:47.053092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:47.151610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 1615
100.0%

관할기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
광산소방서
1615 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광산소방서 1615
100.0%

Length

2023-12-12T09:31:47.243561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:47.335681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광산소방서 1615
100.0%

관할기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
062-613-8863
1615 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row062-613-8863
2nd row062-613-8863
3rd row062-613-8863
4th row062-613-8863
5th row062-613-8863

Common Values

ValueCountFrequency (%)
062-613-8863 1615
100.0%

Length

2023-12-12T09:31:47.431238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:47.516903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
062-613-8863 1615
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
Minimum2023-07-17 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T09:31:47.589248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:47.669663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:31:39.569225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:39.327812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:39.694582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:39.442035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:31:47.734128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형코드경도안전센터명보호틀유무설치연도
시설유형코드1.0000.0000.2720.2770.310
경도0.0001.0000.0680.0000.000
안전센터명0.2720.0681.0000.2720.618
보호틀유무0.2770.0000.2721.0000.326
설치연도0.3100.0000.6180.3261.000
2023-12-12T09:31:47.821456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형코드보호틀유무안전센터명
시설유형코드1.0000.3380.170
보호틀유무0.3381.0000.204
안전센터명0.1700.2041.000
2023-12-12T09:31:47.916589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도설치연도시설유형코드안전센터명보호틀유무
경도1.000-0.2160.0000.0510.000
설치연도-0.2161.0000.1820.3630.325
시설유형코드0.0000.1821.0000.1700.338
안전센터명0.0510.3630.1701.0000.204
보호틀유무0.0000.3250.3380.2041.000

Missing values

2023-12-12T09:31:40.185291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:31:40.440478image/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.
2023-12-12T09:31:40.596131image/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

시설번호시설유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무사용가능여부설치연도배관깊이출수압력배관지름관할기관명관할기관전화번호데이터기준일자
0광산-761광주광역시광산구36300광주광역시 광산구 하남산단9번로 85광주광역시 광산구 안청동 732-135.213628126.805449두영실업 좌측 50m하남119안전센터YY19898.15.5100광산소방서062-613-88632023-07-17
1광산-771광주광역시광산구36300광주광역시 광산구 하남산단10번로 25광주광역시 광산구 안청동 727-435.215151126.799724나산산업 맞은편하남119안전센터NY19898.15.5100광산소방서062-613-88632023-07-17
2광산-2151광주광역시광산구36300광주광역시 광산구 손재로 512-17광주광역시 광산구 안청동 735-1035.211189126.797612동신실업 앞하남119안전센터NY19898.15.5100광산소방서062-613-88632023-07-17
3광산-2241광주광역시광산구36300광주광역시 광산구 손재로 524광주광역시 광산구 안청동 735-235.21351126.795886현대오일뱅크주유소 앞하남119안전센터YY19898.15.5100광산소방서062-613-88632023-07-17
4광산-2251광주광역시광산구36300광주광역시 광산구 용아로 736광주광역시 광산구 안청동 738-435.208562126.80467나우텍 맞은편하남119안전센터YY19898.15.5100광산소방서062-613-88632023-07-17
5광산-2261광주광역시광산구36300광주광역시 광산구 하남산단10번로 60광주광역시 광산구 안청동 733-235.214856126.804395한주스틸 앞하남119안전센터NY19898.15.5100광산소방서062-613-88632023-07-17
6광산-2271광주광역시광산구36300광주광역시 광산구 하남산단8번로 33광주광역시 광산구 안청동 735-1235.208559126.796002기아자동차 코너하남119안전센터YY19898.15.5100광산소방서062-613-88632023-07-17
7광산-2281광주광역시광산구36300광주광역시 광산구 하남산단9번로 21광주광역시 광산구 안청동 734-135.213514126.800976무진기연 앞하남119안전센터NY19898.15.5100광산소방서062-613-88632023-07-17
8광산-2301광주광역시광산구36300광주광역시 광산구 하남산단8번로 137-7광주광역시 광산구 안청동 739-1235.210544126.809976서암기계공업 정문 건너편하남119안전센터NY19898.15.5100광산소방서062-613-88632023-07-17
9광산-2331광주광역시광산구36300광주광역시 광산구 하남산단9번로 129광주광역시 광산구 안청동 731-535.213477126.810104평강목재수출포장 모퉁이하남119안전센터YY19898.15.5100광산소방서062-613-88632023-07-17
시설번호시설유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무사용가능여부설치연도배관깊이출수압력배관지름관할기관명관할기관전화번호데이터기준일자
1605광산-136광주광역시광산구36300광주광역시 광산구 삼도죽산길 50광주광역시 광산구 송산동 457-135.167349126.727774자연마을(죽산마을)빛그린119안전센터NY20088.15.5100광산소방서062-613-88632023-07-17
1606광산-146광주광역시광산구36300광주광역시 광산구 운평길 14-20광주광역시 광산구 지평동 222-135.151374126.730553산림인접마을(운평마을)빛그린119안전센터NY20088.15.5100광산소방서062-613-88632023-07-17
1607광산-156광주광역시광산구36300광주광역시 광산구 삼도광암길 48광주광역시 광산구 오운동 76035.146825126.687354산림인접마을(광암,복림마을)빛그린119안전센터NY20198.15.5100광산소방서062-613-88632023-07-17
1608광산-166광주광역시광산구36300광주광역시 광산구 삼거동 277광주광역시 광산구 삼거동 27935.151494126.673993원거리자연마을(칠성마을)빛그린119안전센터NY20088.15.5100광산소방서062-613-88632023-07-17
1609광산-196광주광역시광산구36300광주광역시 광산구 삼도지동길 28광주광역시 광산구 도덕동 25635.159716126.708075자연마을(지동,하지마을)빛그린119안전센터NY20088.15.5100광산소방서062-613-88632023-07-17
1610광산-256광주광역시광산구36300광주광역시 광산구 삼도로 341-3광주광역시 광산구 도덕동 320-135.163176126.700569자연마을(봉정마을 인근)빛그린119안전센터NY20228.15.5100광산소방서062-613-88632023-07-17
1611광산-306광주광역시광산구36300광주광역시 광산구 내동송동길 13-2광주광역시 광산구 송산동 771-235.161539126.718335원거리자연마을(내동마을)빛그린119안전센터NY20108.15.5100광산소방서062-613-88632023-07-17
1612광산-496광주광역시광산구36300광주광역시 광산구 삼도동 76-3광주광역시 광산구 삼도동 76-3번지35.119752126.69447원거리자연마을(회룡마을)빛그린119안전센터NY20178.15.5100광산소방서062-613-88632023-07-17
1613광산-556광주광역시광산구36300광주광역시 광산구 월석복만길 181광주광역시 광산구 양동 27835.157937126.658703자연마을(복만마을)빛그린119안전센터NY20178.15.5100광산소방서062-613-88632023-07-17
1614광산-656광주광역시광산구36300광주광역시 광산구 상지길 60광주광역시 광산구 도덕동 16535.159147126.704022자연마을(지동,하지마을)빛그린119안전센터NY20198.15.5100광산소방서062-613-88632023-07-17