Overview

Dataset statistics

Number of variables4
Number of observations326
Missing cells35
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 문화 공간(순번 문화공간 명칭 정보 주소정보 전화번호)에 대한 항목에 대한 데이터를 제공하고 있는 정보 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15066560/fileData.do

Alerts

전화번호 has 35 (10.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:34:59.917138
Analysis finished2023-12-12 12:35:00.530293
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct326
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.5
Minimum1
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T21:35:00.900014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.25
Q182.25
median163.5
Q3244.75
95-th percentile309.75
Maximum326
Range325
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation94.252321
Coefficient of variation (CV)0.57646679
Kurtosis-1.2
Mean163.5
Median Absolute Deviation (MAD)81.5
Skewness0
Sum53301
Variance8883.5
MonotonicityStrictly increasing
2023-12-12T21:35:01.061490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
Other values (316) 316
96.9%
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 (%)
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%

문화공간 명칭
Text

Distinct325
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T21:35:01.376614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters9780
Distinct characters354
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)99.4%

Sample

1st row2001아울렛 어린이소극장
2nd row507문화벙커 생활문화센터
3rd rowCGV 관교
4th rowCGV 부평
5th rowCGV 인천
ValueCountFrequency (%)
갤러리 11
 
2.3%
노인복지회관 9
 
1.8%
전시실 7
 
1.4%
풀잎문화센터 7
 
1.4%
야외무대 6
 
1.2%
서구문화회관 5
 
1.0%
공연장 5
 
1.0%
야외공연장 5
 
1.0%
소극장 4
 
0.8%
평생교육원 4
 
0.8%
Other values (372) 425
87.1%
2023-12-12T21:35:01.790289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6985
71.4%
관 141
 
1.4%
화 102
 
1.0%
인 89
 
0.9%
문 82
 
0.8%
장 68
 
0.7%
천 66
 
0.7%
회 64
 
0.7%
구 47
 
0.5%
지 47
 
0.5%
Other values (344) 2089
 
21.4%

Most occurring categories

ValueCountFrequency (%)
Space Separator 6985
71.4%
Other Letter 2651
 
27.1%
Uppercase Letter 77
 
0.8%
Lowercase Letter 27
 
0.3%
Decimal Number 16
 
0.2%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Dash Punctuation 2
 
< 0.1%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 141
 
5.3%
화 102
 
3.8%
인 89
 
3.4%
문 82
 
3.1%
장 68
 
2.6%
천 66
 
2.5%
회 64
 
2.4%
구 47
 
1.8%
지 47
 
1.8%
학 43
 
1.6%
Other values (300) 1902
71.7%
Uppercase Letter
ValueCountFrequency (%)
G 11
14.3%
C 10
13.0%
A 7
 
9.1%
L 6
 
7.8%
Y 5
 
6.5%
M 5
 
6.5%
B 4
 
5.2%
V 4
 
5.2%
I 3
 
3.9%
E 3
 
3.9%
Other values (10) 19
24.7%
Lowercase Letter
ValueCountFrequency (%)
l 6
22.2%
a 4
14.8%
r 3
11.1%
y 3
11.1%
o 3
11.1%
e 3
11.1%
g 2
 
7.4%
b 1
 
3.7%
t 1
 
3.7%
h 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 4
25.0%
5 3
18.8%
1 3
18.8%
2 2
12.5%
9 1
 
6.2%
6 1
 
6.2%
8 1
 
6.2%
7 1
 
6.2%
Space Separator
ValueCountFrequency (%)
6985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7025
71.8%
Hangul 2650
 
27.1%
Latin 104
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 141
 
5.3%
화 102
 
3.8%
인 89
 
3.4%
문 82
 
3.1%
장 68
 
2.6%
천 66
 
2.5%
회 64
 
2.4%
구 47
 
1.8%
지 47
 
1.8%
학 43
 
1.6%
Other values (299) 1901
71.7%
Latin
ValueCountFrequency (%)
G 11
 
10.6%
C 10
 
9.6%
A 7
 
6.7%
l 6
 
5.8%
L 6
 
5.8%
Y 5
 
4.8%
M 5
 
4.8%
B 4
 
3.8%
V 4
 
3.8%
a 4
 
3.8%
Other values (20) 42
40.4%
Common
ValueCountFrequency (%)
6985
99.4%
) 10
 
0.1%
( 10
 
0.1%
0 4
 
0.1%
5 3
 
< 0.1%
1 3
 
< 0.1%
2 2
 
< 0.1%
- 2
 
< 0.1%
‘ 1
 
< 0.1%
’ 1
 
< 0.1%
Other values (4) 4
 
0.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7127
72.9%
Hangul 2650
 
27.1%
Punctuation 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6985
98.0%
G 11
 
0.2%
C 10
 
0.1%
) 10
 
0.1%
( 10
 
0.1%
A 7
 
0.1%
l 6
 
0.1%
L 6
 
0.1%
Y 5
 
0.1%
M 5
 
0.1%
Other values (32) 72
 
1.0%
Hangul
ValueCountFrequency (%)
관 141
 
5.3%
화 102
 
3.8%
인 89
 
3.4%
문 82
 
3.1%
장 68
 
2.6%
천 66
 
2.5%
회 64
 
2.4%
구 47
 
1.8%
지 47
 
1.8%
학 43
 
1.6%
Other values (299) 1901
71.7%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

주소
Text

Distinct293
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T21:35:02.253753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length60
Mean length60.046012
Min length60

Characters and Unicode

Total characters19575
Distinct characters254
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)83.1%

Sample

1st row인천광역시 부평구 산곡동 311-151
2nd row인천광역시 연수구 먼우금로 208507문화벙커 생활문화센터
3rd row인천광역시 미추홀구 관교동 15번지 신세계백화점 지하1층
4th row인천광역시 부평구 청천동 386
5th row인천광역시 남동구 구월1동 1130
ValueCountFrequency (%)
인천광역시 278
 
18.5%
미추홀구 59
 
3.9%
인천 48
 
3.2%
중구 42
 
2.8%
남동구 41
 
2.7%
부평구 41
 
2.7%
연수구 40
 
2.7%
강화군 35
 
2.3%
서구 29
 
1.9%
계양구 20
 
1.3%
Other values (582) 867
57.8%
2023-12-12T21:35:02.866677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13771
70.3%
인 348
 
1.8%
천 335
 
1.7%
구 312
 
1.6%
시 283
 
1.4%
1 283
 
1.4%
광 280
 
1.4%
역 279
 
1.4%
동 270
 
1.4%
2 154
 
0.8%
Other values (244) 3260
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Space Separator 13771
70.3%
Other Letter 4325
 
22.1%
Decimal Number 1267
 
6.5%
Dash Punctuation 117
 
0.6%
Open Punctuation 43
 
0.2%
Close Punctuation 42
 
0.2%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 348
 
8.0%
천 335
 
7.7%
구 312
 
7.2%
시 283
 
6.5%
광 280
 
6.5%
역 279
 
6.5%
동 270
 
6.2%
로 138
 
3.2%
화 75
 
1.7%
번 70
 
1.6%
Other values (225) 1935
44.7%
Decimal Number
ValueCountFrequency (%)
1 283
22.3%
2 154
12.2%
4 147
11.6%
3 132
10.4%
6 107
 
8.4%
5 102
 
8.1%
7 94
 
7.4%
8 88
 
6.9%
9 84
 
6.6%
0 76
 
6.0%
Open Punctuation
ValueCountFrequency (%)
( 42
97.7%
[ 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
13771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15247
77.9%
Hangul 4324
 
22.1%
Latin 3
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 348
 
8.0%
천 335
 
7.7%
구 312
 
7.2%
시 283
 
6.5%
광 280
 
6.5%
역 279
 
6.5%
동 270
 
6.2%
로 138
 
3.2%
화 75
 
1.7%
번 70
 
1.6%
Other values (224) 1934
44.7%
Common
ValueCountFrequency (%)
13771
90.3%
1 283
 
1.9%
2 154
 
1.0%
4 147
 
1.0%
3 132
 
0.9%
- 117
 
0.8%
6 107
 
0.7%
5 102
 
0.7%
7 94
 
0.6%
8 88
 
0.6%
Other values (7) 252
 
1.7%
Latin
ValueCountFrequency (%)
B 2
66.7%
G 1
33.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15250
77.9%
Hangul 4324
 
22.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13771
90.3%
1 283
 
1.9%
2 154
 
1.0%
4 147
 
1.0%
3 132
 
0.9%
- 117
 
0.8%
6 107
 
0.7%
5 102
 
0.7%
7 94
 
0.6%
8 88
 
0.6%
Other values (9) 255
 
1.7%
Hangul
ValueCountFrequency (%)
인 348
 
8.0%
천 335
 
7.7%
구 312
 
7.2%
시 283
 
6.5%
광 280
 
6.5%
역 279
 
6.5%
동 270
 
6.2%
로 138
 
3.2%
화 75
 
1.7%
번 70
 
1.6%
Other values (224) 1934
44.7%
CJK
ValueCountFrequency (%)
內 1
100.0%

전화번호
Text

MISSING 

Distinct256
Distinct (%)88.0%
Missing35
Missing (%)10.7%
Memory size2.7 KiB
2023-12-12T21:35:03.171014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.419244
Min length7

Characters and Unicode

Total characters3614
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

Unique233 ?
Unique (%)80.1%

Sample

1st row032-363-5528
2nd row032-812-0507
3rd row1544-1122
4th row1544-1122
5th row1544-1122
ValueCountFrequency (%)
032-583-2361 5
 
1.7%
1544-1122 4
 
1.4%
032-500-2000 4
 
1.4%
032-760-6446 4
 
1.4%
032-873-5174 3
 
1.0%
032-551-6602 3
 
1.0%
032-442-8017 3
 
1.0%
032-427-8401 3
 
1.0%
032-511-3141 3
 
1.0%
032-422-3492 2
 
0.7%
Other values (240) 257
88.3%
2023-12-12T21:35:03.622844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 576
15.9%
0 558
15.4%
2 484
13.4%
3 470
13.0%
1 228
 
6.3%
7 214
 
5.9%
8 207
 
5.7%
5 206
 
5.7%
4 205
 
5.7%
6 200
 
5.5%
Other values (2) 266
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2901
80.3%
Dash Punctuation 576
 
15.9%
Space Separator 137
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558
19.2%
2 484
16.7%
3 470
16.2%
1 228
7.9%
7 214
 
7.4%
8 207
 
7.1%
5 206
 
7.1%
4 205
 
7.1%
6 200
 
6.9%
9 129
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3614
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 576
15.9%
0 558
15.4%
2 484
13.4%
3 470
13.0%
1 228
 
6.3%
7 214
 
5.9%
8 207
 
5.7%
5 206
 
5.7%
4 205
 
5.7%
6 200
 
5.5%
Other values (2) 266
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 576
15.9%
0 558
15.4%
2 484
13.4%
3 470
13.0%
1 228
 
6.3%
7 214
 
5.9%
8 207
 
5.7%
5 206
 
5.7%
4 205
 
5.7%
6 200
 
5.5%
Other values (2) 266
7.4%

Interactions

2023-12-12T21:35:00.283699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:35:00.402486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:00.496062image/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

순번문화공간 명칭주소전화번호
012001아울렛 어린이소극장인천광역시 부평구 산곡동 311-151032-363-5528
12507문화벙커 생활문화센터인천광역시 연수구 먼우금로 208507문화벙커 생활문화센터032-812-0507
23CGV 관교인천광역시 미추홀구 관교동 15번지 신세계백화점 지하1층1544-1122
34CGV 부평인천광역시 부평구 청천동 3861544-1122
45CGV 인천인천광역시 남동구 구월1동 11301544-1122
56CGV 주안인천광역시 미추홀구 주안동 30-1 카라아울렛 6~10층1544-1122
67CINUS 연수 10인천광역시 연수구 청학동 496-4 광장프라자032-818-0100
78G-Gallery(송도 G타워)인천광역시 연수구 아트센터대로 175 G타워032-120
89IMC 9인천광역시 연수구 청학동 502-2번지1588-2966
910MBC문화센터(롯데백화점 인천점)인천광역시 남동구 구월1동 1455032-450-3880
순번문화공간 명칭주소전화번호
316317혜원갤러리인천광역시 미추홀구 주안4동 453-18번지 1층032-422-8863
317318홈플러스문화센터(가좌점)인천광역시 서구 가좌동 118032-453-8003
318319홈플러스문화센터(남동구 간석점)인천광역시 남동구 간석4동 616-4032-870-8003
319320홈플러스문화센터(작전점)인천광역시 계양구 작전동 448-7032-540-8003
320321화도종합복지회관인천광역시 동구 만석동 21-83032-765-2198
321322화도진도서관 평생학습관인천광역시 동구 화도진로 122032-760-4100
322323화도진문화원인천광역시 동구 염전로40번길 70 (송림동)032-777-8957
323324환경미래관인천광역시 남동구 장수동 산164-1032-466-7768
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