Overview

Dataset statistics

Number of variables5
Number of observations115
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory42.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 서구에서 다양한 문화 프로그램을 만날 수 있는 공간 지역 거점 별 문화충전소(문화충전소명, 소재지) 입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15063098/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
문화충전소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:34:50.279373
Analysis finished2023-12-12 20:34:50.846686
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58
Minimum1
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:34:50.921307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.7
Q129.5
median58
Q386.5
95-th percentile109.3
Maximum115
Range114
Interquartile range (IQR)57

Descriptive statistics

Standard deviation33.341666
Coefficient of variation (CV)0.5748563
Kurtosis-1.2
Mean58
Median Absolute Deviation (MAD)29
Skewness0
Sum6670
Variance1111.6667
MonotonicityStrictly increasing
2023-12-13T05:34:51.053340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
74 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%

문화충전소명
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T05:34:51.404838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.4434783
Min length2

Characters and Unicode

Total characters856
Distinct characters259
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

Unique115 ?
Unique (%)100.0%

Sample

1st row콩세알꿈터
2nd row당하탑스빌 아파트 문화쉼터 조성
3rd row가재울문화예술사랑방
4th row공예공방
5th row어울림 합창단
ValueCountFrequency (%)
작은도서관 14
 
7.9%
정서진 3
 
1.7%
서구 2
 
1.1%
파란 2
 
1.1%
갤러리 2
 
1.1%
북카페 2
 
1.1%
도서관 2
 
1.1%
드림피플 1
 
0.6%
북항아트홀 1
 
0.6%
오두물북카페 1
 
0.6%
Other values (148) 148
83.1%
2023-12-13T05:34:51.811512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
7.4%
서 37
 
4.3%
관 32
 
3.7%
도 27
 
3.2%
작 17
 
2.0%
은 17
 
2.0%
화 15
 
1.8%
아 14
 
1.6%
터 13
 
1.5%
문 13
 
1.5%
Other values (249) 608
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
88.0%
Space Separator 63
 
7.4%
Uppercase Letter 13
 
1.5%
Lowercase Letter 9
 
1.1%
Decimal Number 8
 
0.9%
Other Punctuation 6
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
 
4.9%
관 32
 
4.2%
도 27
 
3.6%
작 17
 
2.3%
은 17
 
2.3%
화 15
 
2.0%
아 14
 
1.9%
터 13
 
1.7%
문 13
 
1.7%
청 12
 
1.6%
Other values (223) 556
73.8%
Uppercase Letter
ValueCountFrequency (%)
W 2
15.4%
A 2
15.4%
E 2
15.4%
F 2
15.4%
M 1
7.7%
C 1
7.7%
T 1
7.7%
H 1
7.7%
Y 1
7.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
33.3%
y 1
 
11.1%
r 1
 
11.1%
t 1
 
11.1%
c 1
 
11.1%
a 1
 
11.1%
n 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
4 2
25.0%
2 2
25.0%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
' 4
66.7%
, 1
 
16.7%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
88.0%
Common 81
 
9.5%
Latin 22
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
 
4.9%
관 32
 
4.2%
도 27
 
3.6%
작 17
 
2.3%
은 17
 
2.3%
화 15
 
2.0%
아 14
 
1.9%
터 13
 
1.7%
문 13
 
1.7%
청 12
 
1.6%
Other values (223) 556
73.8%
Latin
ValueCountFrequency (%)
o 3
13.6%
W 2
 
9.1%
A 2
 
9.1%
E 2
 
9.1%
F 2
 
9.1%
y 1
 
4.5%
r 1
 
4.5%
t 1
 
4.5%
c 1
 
4.5%
a 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
63
77.8%
' 4
 
4.9%
0 3
 
3.7%
( 2
 
2.5%
) 2
 
2.5%
4 2
 
2.5%
2 2
 
2.5%
1 1
 
1.2%
, 1
 
1.2%
. 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
88.0%
ASCII 103
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
61.2%
' 4
 
3.9%
0 3
 
2.9%
o 3
 
2.9%
W 2
 
1.9%
A 2
 
1.9%
E 2
 
1.9%
( 2
 
1.9%
) 2
 
1.9%
4 2
 
1.9%
Other values (16) 18
 
17.5%
Hangul
ValueCountFrequency (%)
서 37
 
4.9%
관 32
 
4.2%
도 27
 
3.6%
작 17
 
2.3%
은 17
 
2.3%
화 15
 
2.0%
아 14
 
1.9%
터 13
 
1.7%
문 13
 
1.7%
청 12
 
1.6%
Other values (223) 556
73.8%

소재지(도로명)
Text

Distinct111
Distinct (%)97.4%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-13T05:34:52.124957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length21.473684
Min length15

Characters and Unicode

Total characters2448
Distinct characters134
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

Unique108 ?
Unique (%)94.7%

Sample

1st row인천광역시 서구 가정로 387
2nd row인천광역시 서구 서곶로 818 관리동
3rd row인천광역시 서구 장고개로280번길 3
4th row인천광역시 서구 거북로 62, B1
5th row인천광역시 서구 봉화로223번길 9
ValueCountFrequency (%)
인천광역시 114
21.6%
서구 114
21.6%
1층 11
 
2.1%
16 8
 
1.5%
2층 7
 
1.3%
18 5
 
0.9%
3층 4
 
0.8%
3 4
 
0.8%
도요지로 4
 
0.8%
승학로 4
 
0.8%
Other values (193) 253
47.9%
2023-12-13T05:34:52.560109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
421
17.2%
서 129
 
5.3%
1 118
 
4.8%
천 116
 
4.7%
인 115
 
4.7%
로 114
 
4.7%
광 114
 
4.7%
역 114
 
4.7%
시 114
 
4.7%
구 114
 
4.7%
Other values (124) 979
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
58.2%
Decimal Number 524
 
21.4%
Space Separator 421
 
17.2%
Other Punctuation 54
 
2.2%
Dash Punctuation 17
 
0.7%
Uppercase Letter 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 129
 
9.1%
천 116
 
8.1%
인 115
 
8.1%
로 114
 
8.0%
광 114
 
8.0%
역 114
 
8.0%
시 114
 
8.0%
구 114
 
8.0%
길 58
 
4.1%
번 57
 
4.0%
Other values (103) 380
26.7%
Decimal Number
ValueCountFrequency (%)
1 118
22.5%
2 99
18.9%
3 49
9.4%
0 46
 
8.8%
4 44
 
8.4%
6 44
 
8.4%
8 40
 
7.6%
9 33
 
6.3%
7 29
 
5.5%
5 22
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
L 1
20.0%
H 1
20.0%
B 1
20.0%
A 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 53
98.1%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1425
58.2%
Common 1018
41.6%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 129
 
9.1%
천 116
 
8.1%
인 115
 
8.1%
로 114
 
8.0%
광 114
 
8.0%
역 114
 
8.0%
시 114
 
8.0%
구 114
 
8.0%
길 58
 
4.1%
번 57
 
4.0%
Other values (103) 380
26.7%
Common
ValueCountFrequency (%)
421
41.4%
1 118
 
11.6%
2 99
 
9.7%
, 53
 
5.2%
3 49
 
4.8%
0 46
 
4.5%
4 44
 
4.3%
6 44
 
4.3%
8 40
 
3.9%
9 33
 
3.2%
Other values (6) 71
 
7.0%
Latin
ValueCountFrequency (%)
M 1
20.0%
L 1
20.0%
H 1
20.0%
B 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1425
58.2%
ASCII 1023
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
421
41.2%
1 118
 
11.5%
2 99
 
9.7%
, 53
 
5.2%
3 49
 
4.8%
0 46
 
4.5%
4 44
 
4.3%
6 44
 
4.3%
8 40
 
3.9%
9 33
 
3.2%
Other values (11) 76
 
7.4%
Hangul
ValueCountFrequency (%)
서 129
 
9.1%
천 116
 
8.1%
인 115
 
8.1%
로 114
 
8.0%
광 114
 
8.0%
역 114
 
8.0%
시 114
 
8.0%
구 114
 
8.0%
길 58
 
4.1%
번 57
 
4.0%
Other values (103) 380
26.7%

소재지(지번)
Text

Distinct108
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T05:34:52.887858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length18.078261
Min length14

Characters and Unicode

Total characters2079
Distinct characters52
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

Unique102 ?
Unique (%)88.7%

Sample

1st row인천광역시 서구 신현동 302-1
2nd row인천광역시 서구 당하동 895-1
3rd row인천광역시 서구 가좌동 310-1
4th row인천광역시 서구 석남동 587-107
5th row인천광역시 서구 금곡동 400-1
ValueCountFrequency (%)
인천광역시 115
24.9%
서구 115
24.9%
가좌동 23
 
5.0%
석남동 21
 
4.6%
가정동 10
 
2.2%
청라동 9
 
2.0%
심곡동 8
 
1.7%
마전동 7
 
1.5%
신현동 7
 
1.5%
검암동 6
 
1.3%
Other values (120) 140
30.4%
2023-12-13T05:34:53.388656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
16.6%
서 119
 
5.7%
천 117
 
5.6%
시 117
 
5.6%
동 115
 
5.5%
구 115
 
5.5%
인 115
 
5.5%
역 115
 
5.5%
광 115
 
5.5%
- 99
 
4.8%
Other values (42) 706
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1151
55.4%
Decimal Number 483
23.2%
Space Separator 346
 
16.6%
Dash Punctuation 99
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
10.3%
천 117
10.2%
시 117
10.2%
동 115
10.0%
구 115
10.0%
인 115
10.0%
역 115
10.0%
광 115
10.0%
가 33
 
2.9%
좌 23
 
2.0%
Other values (30) 167
14.5%
Decimal Number
ValueCountFrequency (%)
1 86
17.8%
5 67
13.9%
2 58
12.0%
3 49
10.1%
4 48
9.9%
0 46
9.5%
6 35
7.2%
7 32
 
6.6%
8 32
 
6.6%
9 30
 
6.2%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1151
55.4%
Common 928
44.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
10.3%
천 117
10.2%
시 117
10.2%
동 115
10.0%
구 115
10.0%
인 115
10.0%
역 115
10.0%
광 115
10.0%
가 33
 
2.9%
좌 23
 
2.0%
Other values (30) 167
14.5%
Common
ValueCountFrequency (%)
346
37.3%
- 99
 
10.7%
1 86
 
9.3%
5 67
 
7.2%
2 58
 
6.2%
3 49
 
5.3%
4 48
 
5.2%
0 46
 
5.0%
6 35
 
3.8%
7 32
 
3.4%
Other values (2) 62
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1151
55.4%
ASCII 928
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
37.3%
- 99
 
10.7%
1 86
 
9.3%
5 67
 
7.2%
2 58
 
6.2%
3 49
 
5.3%
4 48
 
5.2%
0 46
 
5.0%
6 35
 
3.8%
7 32
 
3.4%
Other values (2) 62
 
6.7%
Hangul
ValueCountFrequency (%)
서 119
10.3%
천 117
10.2%
시 117
10.2%
동 115
10.0%
구 115
10.0%
인 115
10.0%
역 115
10.0%
광 115
10.0%
가 33
 
2.9%
좌 23
 
2.0%
Other values (30) 167
14.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2022-09-01
115 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-01
2nd row2022-09-01
3rd row2022-09-01
4th row2022-09-01
5th row2022-09-01

Common Values

ValueCountFrequency (%)
2022-09-01 115
100.0%

Length

2023-12-13T05:34:53.561434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:34:53.675169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-01 115
100.0%

Interactions

2023-12-13T05:34:50.564096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T05:34:50.706123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:34:50.804629image/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

연번문화충전소명소재지(도로명)소재지(지번)데이터기준일자
01콩세알꿈터인천광역시 서구 가정로 387인천광역시 서구 신현동 302-12022-09-01
12당하탑스빌 아파트 문화쉼터 조성인천광역시 서구 서곶로 818 관리동인천광역시 서구 당하동 895-12022-09-01
23가재울문화예술사랑방인천광역시 서구 장고개로280번길 3인천광역시 서구 가좌동 310-12022-09-01
34공예공방인천광역시 서구 거북로 62, B1인천광역시 서구 석남동 587-1072022-09-01
45어울림 합창단인천광역시 서구 봉화로223번길 9인천광역시 서구 금곡동 400-12022-09-01
56콘체르트아트하우스인천광역시 서구 장고개로280번길 3인천광역시 서구 가좌동 310-12022-09-01
67THE WAY 작은도서관인천광역시 서구 승학로 278, 202호(심곡동, 오륜프라자)인천광역시 서구 심곡동 2382022-09-01
78마을극장 나무인천광역시 서구 장고개로 272, 2층인천광역시 서구 가좌동 328-42022-09-01
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110111엘림아트센터인천광역시 서구 크리스탈로 78인천광역시 서구 청라동 152-142022-09-01
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