Overview

Dataset statistics

Number of variables3
Number of observations648
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory25.2 B

Variable types

Numeric1
Text2

Dataset

Description인천광역시 연수구 관내 자동 심장 충격기 설치 현황에 대한 데이터로 자동심장충격기의 설치기관, 설치 장소 등에 대한 내용의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039784&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:05:29.915932
Analysis finished2024-01-28 16:05:30.394782
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct648
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.5
Minimum1
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-01-29T01:05:30.451568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.35
Q1162.75
median324.5
Q3486.25
95-th percentile615.65
Maximum648
Range647
Interquartile range (IQR)323.5

Descriptive statistics

Standard deviation187.20577
Coefficient of variation (CV)0.5769053
Kurtosis-1.2
Mean324.5
Median Absolute Deviation (MAD)162
Skewness0
Sum210276
Variance35046
MonotonicityStrictly increasing
2024-01-29T01:05:30.571907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
447 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
Other values (638) 638
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%
Distinct315
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-29T01:05:30.764898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.9212963
Min length3

Characters and Unicode

Total characters5781
Distinct characters298
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

Unique196 ?
Unique (%)30.2%

Sample

1st row인천광역시연수구시설안전관리공단
2nd row삼성엔지니어링(SBLP5EPCV)
3rd row송도풍림아이원2단지아파트
4th row송도푸르지오하버뷰아파트
5th row송도연세병원구급차
ValueCountFrequency (%)
삼성바이오로직스 60
 
9.0%
삼성바이오에피스 18
 
2.7%
아파트 16
 
2.4%
송도더샵그린스퀘어 14
 
2.1%
현대건설 13
 
2.0%
앰코테크놀로지코리아(주)송도사업장 11
 
1.7%
포스코건설송도재미동포타운2단계 10
 
1.5%
주)선화 9
 
1.4%
인천항국제여객터미널 8
 
1.2%
한국가스공사인천기지본부 7
 
1.1%
Other values (307) 500
75.1%
2024-01-29T01:05:31.065276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
3.3%
184
 
3.2%
180
 
3.1%
174
 
3.0%
171
 
3.0%
167
 
2.9%
165
 
2.9%
154
 
2.7%
153
 
2.6%
138
 
2.4%
Other values (288) 4102
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5482
94.8%
Decimal Number 97
 
1.7%
Close Punctuation 71
 
1.2%
Open Punctuation 71
 
1.2%
Uppercase Letter 41
 
0.7%
Space Separator 18
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
 
3.5%
184
 
3.4%
180
 
3.3%
174
 
3.2%
171
 
3.1%
167
 
3.0%
165
 
3.0%
154
 
2.8%
153
 
2.8%
138
 
2.5%
Other values (265) 3803
69.4%
Uppercase Letter
ValueCountFrequency (%)
P 6
14.6%
I 6
14.6%
C 5
12.2%
L 5
12.2%
F 4
9.8%
B 4
9.8%
S 3
7.3%
E 2
 
4.9%
V 2
 
4.9%
D 2
 
4.9%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 36
37.1%
2 34
35.1%
3 11
 
11.3%
5 6
 
6.2%
4 5
 
5.2%
8 4
 
4.1%
0 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5482
94.8%
Common 257
 
4.4%
Latin 42
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
 
3.5%
184
 
3.4%
180
 
3.3%
174
 
3.2%
171
 
3.1%
167
 
3.0%
165
 
3.0%
154
 
2.8%
153
 
2.8%
138
 
2.5%
Other values (265) 3803
69.4%
Latin
ValueCountFrequency (%)
P 6
14.3%
I 6
14.3%
C 5
11.9%
L 5
11.9%
F 4
9.5%
B 4
9.5%
S 3
7.1%
E 2
 
4.8%
V 2
 
4.8%
D 2
 
4.8%
Other values (3) 3
7.1%
Common
ValueCountFrequency (%)
) 71
27.6%
( 71
27.6%
1 36
14.0%
2 34
13.2%
18
 
7.0%
3 11
 
4.3%
5 6
 
2.3%
4 5
 
1.9%
8 4
 
1.6%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5482
94.8%
ASCII 299
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
193
 
3.5%
184
 
3.4%
180
 
3.3%
174
 
3.2%
171
 
3.1%
167
 
3.0%
165
 
3.0%
154
 
2.8%
153
 
2.8%
138
 
2.5%
Other values (265) 3803
69.4%
ASCII
ValueCountFrequency (%)
) 71
23.7%
( 71
23.7%
1 36
12.0%
2 34
11.4%
18
 
6.0%
3 11
 
3.7%
5 6
 
2.0%
P 6
 
2.0%
I 6
 
2.0%
C 5
 
1.7%
Other values (13) 35
11.7%
Distinct317
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-29T01:05:31.312369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length35.106481
Min length21

Characters and Unicode

Total characters22749
Distinct characters317
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)29.6%

Sample

1st row인천광역시 연수구 갯벌로 12 미추홀타워 17층 (송도동)
2nd row인천광역시 연수구 송도바이오대로 300, 삼성엔지니어링(SBL P5 EPCV) (송도동)
3rd row인천광역시 연수구 해돋이로120번길 16 송도풍림아이원2단지아파트 (송도동, 송도풍림아이원2단지아파트)
4th row인천광역시 연수구 컨벤시아대로130번길 80(송도동, 송도 푸르지오 하버뷰)
5th row인천광역시 연수구 신송로 157-9, 송도연세병원 (송도동)
ValueCountFrequency (%)
인천광역시 648
 
16.5%
연수구 648
 
16.5%
송도동 342
 
8.7%
송도바이오대로 63
 
1.6%
300 62
 
1.6%
삼성바이오로직스 60
 
1.5%
송도 49
 
1.2%
원인재로 45
 
1.1%
동춘동 38
 
1.0%
연수동 37
 
0.9%
Other values (630) 1932
49.2%
2024-01-29T01:05:31.693773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3276
 
14.4%
862
 
3.8%
809
 
3.6%
797
 
3.5%
759
 
3.3%
751
 
3.3%
744
 
3.3%
735
 
3.2%
719
 
3.2%
716
 
3.1%
Other values (307) 12581
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15304
67.3%
Space Separator 3276
 
14.4%
Decimal Number 2271
 
10.0%
Open Punctuation 625
 
2.7%
Close Punctuation 623
 
2.7%
Other Punctuation 529
 
2.3%
Uppercase Letter 61
 
0.3%
Dash Punctuation 31
 
0.1%
Lowercase Letter 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
862
 
5.6%
809
 
5.3%
797
 
5.2%
759
 
5.0%
751
 
4.9%
744
 
4.9%
735
 
4.8%
719
 
4.7%
716
 
4.7%
672
 
4.4%
Other values (270) 7740
50.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
14.8%
L 8
13.1%
A 7
11.5%
G 7
11.5%
T 7
11.5%
F 4
6.6%
C 4
6.6%
S 3
 
4.9%
E 3
 
4.9%
P 2
 
3.3%
Other values (5) 7
11.5%
Decimal Number
ValueCountFrequency (%)
1 436
19.2%
2 367
16.2%
0 266
11.7%
3 262
11.5%
5 223
9.8%
4 166
 
7.3%
6 161
 
7.1%
7 147
 
6.5%
8 145
 
6.4%
9 98
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
24.1%
r 6
20.7%
w 6
20.7%
o 6
20.7%
s 3
10.3%
y 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 526
99.4%
& 3
 
0.6%
Space Separator
ValueCountFrequency (%)
3276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15304
67.3%
Common 7355
32.3%
Latin 90
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
862
 
5.6%
809
 
5.3%
797
 
5.2%
759
 
5.0%
751
 
4.9%
744
 
4.9%
735
 
4.8%
719
 
4.7%
716
 
4.7%
672
 
4.4%
Other values (270) 7740
50.6%
Latin
ValueCountFrequency (%)
B 9
 
10.0%
L 8
 
8.9%
A 7
 
7.8%
e 7
 
7.8%
G 7
 
7.8%
T 7
 
7.8%
r 6
 
6.7%
w 6
 
6.7%
o 6
 
6.7%
F 4
 
4.4%
Other values (11) 23
25.6%
Common
ValueCountFrequency (%)
3276
44.5%
( 625
 
8.5%
) 623
 
8.5%
, 526
 
7.2%
1 436
 
5.9%
2 367
 
5.0%
0 266
 
3.6%
3 262
 
3.6%
5 223
 
3.0%
4 166
 
2.3%
Other values (6) 585
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15304
67.3%
ASCII 7445
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3276
44.0%
( 625
 
8.4%
) 623
 
8.4%
, 526
 
7.1%
1 436
 
5.9%
2 367
 
4.9%
0 266
 
3.6%
3 262
 
3.5%
5 223
 
3.0%
4 166
 
2.2%
Other values (27) 675
 
9.1%
Hangul
ValueCountFrequency (%)
862
 
5.6%
809
 
5.3%
797
 
5.2%
759
 
5.0%
751
 
4.9%
744
 
4.9%
735
 
4.8%
719
 
4.7%
716
 
4.7%
672
 
4.4%
Other values (270) 7740
50.6%

Interactions

2024-01-29T01:05:30.214189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-29T01:05:30.313538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:05:30.370432image/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

연번설치기관명설치기관 주소
01인천광역시연수구시설안전관리공단인천광역시 연수구 갯벌로 12 미추홀타워 17층 (송도동)
12삼성엔지니어링(SBLP5EPCV)인천광역시 연수구 송도바이오대로 300, 삼성엔지니어링(SBL P5 EPCV) (송도동)
23송도풍림아이원2단지아파트인천광역시 연수구 해돋이로120번길 16 송도풍림아이원2단지아파트 (송도동, 송도풍림아이원2단지아파트)
34송도푸르지오하버뷰아파트인천광역시 연수구 컨벤시아대로130번길 80(송도동, 송도 푸르지오 하버뷰)
45송도연세병원구급차인천광역시 연수구 신송로 157-9, 송도연세병원 (송도동)
56(주)엠씨넥스인천광역시 연수구 송도과학로16번길 13-39, 엠씨넥스 타워 (송도동)
67신송고등학교인천광역시 연수구 신송로6번길 56 (송도동,신송고등학교)
78플러스정형외과의원인천광역시 연수구 컨벤시아대로230번길 54, 닥터플러스몰 (송도동)
89플러스정형외과의원인천광역시 연수구 컨벤시아대로230번길 54, 닥터플러스몰 (송도동)
910연수1차대림아파트인천광역시 연수구 원인재로 300 (연수동, 대림아파트)
연번설치기관명설치기관 주소
638639경인의료재활센터병원인천광역시 연수구 원인재로 263 (연수동) 경인의료재활센터병원
639640경인의료재활센터병원인천광역시 연수구 원인재로 263 (연수동) 인천적십자병원
640641(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
641642(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
642643(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
643644(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
644645(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
645646(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
646647(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)
647648(주)선화인천광역시 연수구 하모니로 184 주식회사 선화 (송도동)