Overview

Dataset statistics

Number of variables4
Number of observations2410
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.8 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description국내 재난 관련 기관들인 소방청, 경찰청, 해양경찰청의 119안전센터, 치안센터, 파출소 정보를 통합한 데이터입니다.
URLhttps://www.data.go.kr/data/15112633/fileData.do

Alerts

연번 is highly overall correlated with 기관명High correlation
기관명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:31:20.673547
Analysis finished2023-12-12 03:31:21.660173
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2410
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1205.5
Minimum1
Maximum2410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2023-12-12T12:31:21.747092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile121.45
Q1603.25
median1205.5
Q31807.75
95-th percentile2289.55
Maximum2410
Range2409
Interquartile range (IQR)1204.5

Descriptive statistics

Standard deviation695.8514
Coefficient of variation (CV)0.57723052
Kurtosis-1.2
Mean1205.5
Median Absolute Deviation (MAD)602.5
Skewness0
Sum2905255
Variance484209.17
MonotonicityStrictly increasing
2023-12-12T12:31:21.947326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1602 1
 
< 0.1%
1604 1
 
< 0.1%
1605 1
 
< 0.1%
1606 1
 
< 0.1%
1607 1
 
< 0.1%
1608 1
 
< 0.1%
1609 1
 
< 0.1%
1610 1
 
< 0.1%
1611 1
 
< 0.1%
Other values (2400) 2400
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2410 1
< 0.1%
2409 1
< 0.1%
2408 1
< 0.1%
2407 1
< 0.1%
2406 1
< 0.1%
2405 1
< 0.1%
2404 1
< 0.1%
2403 1
< 0.1%
2402 1
< 0.1%
2401 1
< 0.1%

기관명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
소방청
1100 
경찰청
981 
해양경찰청
329 

Length

Max length5
Median length3
Mean length3.273029
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소방청 1100
45.6%
경찰청 981
40.7%
해양경찰청 329
 
13.7%

Length

2023-12-12T12:31:22.134581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:31:22.599322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소방청 1100
45.6%
경찰청 981
40.7%
해양경찰청 329
 
13.7%

시설명
Text

Distinct2212
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2023-12-12T12:31:22.818089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.4149378
Min length5

Characters and Unicode

Total characters17870
Distinct characters348
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2059 ?
Unique (%)85.4%

Sample

1st row다산치안센터
2nd rowDDP치안센터
3rd row충4치안센터
4th row구기치안센터
5th row북아현치안센터
ValueCountFrequency (%)
중앙119안전센터 9
 
0.4%
치안센터 8
 
0.3%
역전치안센터 7
 
0.3%
중앙치안센터 7
 
0.3%
금호119안전센터 5
 
0.2%
송정119안전센터 5
 
0.2%
동부119안전센터 4
 
0.2%
공단119안전센터 4
 
0.2%
금산119안전센터 4
 
0.2%
덕산119안전센터 3
 
0.1%
Other values (2205) 2364
97.7%
2023-12-12T12:31:23.230539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2264
12.7%
안 2135
11.9%
센 2080
11.6%
터 2059
11.5%
전 1145
 
6.4%
9 1100
 
6.2%
치 989
 
5.5%
소 361
 
2.0%
출 330
 
1.8%
장 306
 
1.7%
Other values (338) 5101
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14355
80.3%
Decimal Number 3501
 
19.6%
Space Separator 11
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 2135
14.9%
센 2080
14.5%
터 2059
14.3%
전 1145
 
8.0%
치 989
 
6.9%
소 361
 
2.5%
출 330
 
2.3%
장 306
 
2.1%
산 178
 
1.2%
동 163
 
1.1%
Other values (326) 4609
32.1%
Decimal Number
ValueCountFrequency (%)
1 2264
64.7%
9 1100
31.4%
2 70
 
2.0%
3 32
 
0.9%
4 21
 
0.6%
5 6
 
0.2%
7 3
 
0.1%
8 3
 
0.1%
6 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
D 2
66.7%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14355
80.3%
Common 3512
 
19.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 2135
14.9%
센 2080
14.5%
터 2059
14.3%
전 1145
 
8.0%
치 989
 
6.9%
소 361
 
2.5%
출 330
 
2.3%
장 306
 
2.1%
산 178
 
1.2%
동 163
 
1.1%
Other values (326) 4609
32.1%
Common
ValueCountFrequency (%)
1 2264
64.5%
9 1100
31.3%
2 70
 
2.0%
3 32
 
0.9%
4 21
 
0.6%
11
 
0.3%
5 6
 
0.2%
7 3
 
0.1%
8 3
 
0.1%
6 2
 
0.1%
Latin
ValueCountFrequency (%)
D 2
66.7%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14355
80.3%
ASCII 3515
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2264
64.4%
9 1100
31.3%
2 70
 
2.0%
3 32
 
0.9%
4 21
 
0.6%
11
 
0.3%
5 6
 
0.2%
7 3
 
0.1%
8 3
 
0.1%
D 2
 
0.1%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
안 2135
14.9%
센 2080
14.5%
터 2059
14.3%
전 1145
 
8.0%
치 989
 
6.9%
소 361
 
2.5%
출 330
 
2.3%
장 306
 
2.1%
산 178
 
1.2%
동 163
 
1.1%
Other values (326) 4609
32.1%

주소
Text

Distinct2409
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2023-12-12T12:31:23.639335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length42
Mean length19.705809
Min length6

Characters and Unicode

Total characters47491
Distinct characters444
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2408 ?
Unique (%)99.9%

Sample

1st row서울 중구 동호로 14길 18
2nd row서울 중구 을지로 281
3rd row서울 중구 충무로2길 39
4th row서울 종로구 비봉길 13
5th row서울 서대문구 북아현로 59-1번지
ValueCountFrequency (%)
경기도 195
 
1.8%
서울 166
 
1.5%
경상남도 146
 
1.3%
충청남도 142
 
1.3%
전라남도 133
 
1.2%
경상북도 129
 
1.2%
전남 124
 
1.1%
서울특별시 118
 
1.1%
강원도 109
 
1.0%
대구광역시 95
 
0.9%
Other values (4713) 9626
87.6%
2023-12-12T12:31:24.273367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8657
 
18.2%
로 1960
 
4.1%
1 1621
 
3.4%
시 1467
 
3.1%
도 1272
 
2.7%
구 1128
 
2.4%
2 1031
 
2.2%
남 963
 
2.0%
면 882
 
1.9%
동 794
 
1.7%
Other values (434) 27716
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29983
63.1%
Space Separator 8657
 
18.2%
Decimal Number 7566
 
15.9%
Open Punctuation 446
 
0.9%
Close Punctuation 446
 
0.9%
Dash Punctuation 349
 
0.7%
Other Punctuation 43
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1960
 
6.5%
시 1467
 
4.9%
도 1272
 
4.2%
구 1128
 
3.8%
남 963
 
3.2%
면 882
 
2.9%
동 794
 
2.6%
군 787
 
2.6%
길 784
 
2.6%
경 739
 
2.5%
Other values (417) 19207
64.1%
Decimal Number
ValueCountFrequency (%)
1 1621
21.4%
2 1031
13.6%
3 794
10.5%
4 722
9.5%
5 678
9.0%
6 657
8.7%
7 562
 
7.4%
9 514
 
6.8%
8 512
 
6.8%
0 475
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 40
93.0%
. 3
 
7.0%
Space Separator
ValueCountFrequency (%)
8657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 446
100.0%
Close Punctuation
ValueCountFrequency (%)
) 446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29983
63.1%
Common 17507
36.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1960
 
6.5%
시 1467
 
4.9%
도 1272
 
4.2%
구 1128
 
3.8%
남 963
 
3.2%
면 882
 
2.9%
동 794
 
2.6%
군 787
 
2.6%
길 784
 
2.6%
경 739
 
2.5%
Other values (417) 19207
64.1%
Common
ValueCountFrequency (%)
8657
49.4%
1 1621
 
9.3%
2 1031
 
5.9%
3 794
 
4.5%
4 722
 
4.1%
5 678
 
3.9%
6 657
 
3.8%
7 562
 
3.2%
9 514
 
2.9%
8 512
 
2.9%
Other values (6) 1759
 
10.0%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29983
63.1%
ASCII 17508
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8657
49.4%
1 1621
 
9.3%
2 1031
 
5.9%
3 794
 
4.5%
4 722
 
4.1%
5 678
 
3.9%
6 657
 
3.8%
7 562
 
3.2%
9 514
 
2.9%
8 512
 
2.9%
Other values (7) 1760
 
10.1%
Hangul
ValueCountFrequency (%)
로 1960
 
6.5%
시 1467
 
4.9%
도 1272
 
4.2%
구 1128
 
3.8%
남 963
 
3.2%
면 882
 
2.9%
동 794
 
2.6%
군 787
 
2.6%
길 784
 
2.6%
경 739
 
2.5%
Other values (417) 19207
64.1%

Interactions

2023-12-12T12:31:21.282974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:31:24.445461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명
연번1.0000.946
기관명0.9461.000
2023-12-12T12:31:24.584989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명
연번1.0000.934
기관명0.9341.000

Missing values

2023-12-12T12:31:21.477184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:31:21.607632image/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

연번기관명시설명주소
01경찰청다산치안센터서울 중구 동호로 14길 18
12경찰청DDP치안센터서울 중구 을지로 281
23경찰청충4치안센터서울 중구 충무로2길 39
34경찰청구기치안센터서울 종로구 비봉길 13
45경찰청북아현치안센터서울 서대문구 북아현로 59-1번지
56경찰청신촌치안센터서울 서대문구 신촌로 105번지
67경찰청종로3가치안센터서울 종로구 돈화문로 28
78경찰청청파치안센터서울 용산구 청파로 274-2
89경찰청남영치안센터서울 용산구 한강대로 102길11-5
910경찰청용산치안센터서울 용산구 신흥로 90
연번기관명시설명주소
24002401해양경찰청해망출장소전라북도 군산시 내항2길 318-7 (해망동)
24012402해양경찰청해운대출장소부산광역시 해운대구 달맞이길62번길 42 (중동,해운대출장소)
24022403해양경찰청향로봉출장소강원도 동해시 임항로 130 (발한동)
24032404해양경찰청현포출장소경상북도 울릉군 북면 울릉순환로 2621-1
24042405해양경찰청형산강출장소경상북도 포항시 남구 희망대로 1130 (송도동,포항해양경찰서)
24052406해양경찰청호산출장소강원도 삼척시 원덕읍 호산3길 136
24062407해양경찰청홍도출장소전라남도 신안군 흑산면 홍도1길 4
24072408해양경찰청화성출장소경기도 화성시 서신면 궁평항로 1049
24082409해양경찰청정서진출장소인천광역시 서구 검암동 468
24092410해양경찰청백사장출장소충청남도 태안군 안면읍 백사장1길 122 (안면파출소)