Overview

Dataset statistics

Number of variables11
Number of observations101
Missing cells100
Missing cells (%)9.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory92.3 B

Variable types

Numeric3
Text4
Categorical4

Dataset

Description부천시 관내 민,관 기관에서 보유하고 있는 문화활동이 가능한 공간 현황에 대한 데이터로 시설명, 주소, 좌석수, 면적, 사용용도, 주요보유장비, 전화번호, 소유기관, 비고 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3039463/fileData.do

Alerts

비고 is highly overall correlated with 좌석수 and 1 other fieldsHigh correlation
주요보유장비 및 설비 is highly overall correlated with 좌석수 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
좌석수 is highly overall correlated with 주요보유장비 및 설비 and 2 other fieldsHigh correlation
면적 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
사용용도 is highly overall correlated with 연번High correlation
소유기관 is highly overall correlated with 좌석수 and 1 other fieldsHigh correlation
소유기관 is highly imbalanced (50.0%)Imbalance
비고 is highly imbalanced (77.1%)Imbalance
좌석수 has 17 (16.8%) missing valuesMissing
면적 has 83 (82.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:58:41.873697
Analysis finished2023-12-12 16:58:43.722852
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:58:43.796556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2023-12-13T01:58:43.928582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%

시설명
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:58:44.126989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.8217822
Min length3

Characters and Unicode

Total characters891
Distinct characters177
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

Unique99 ?
Unique (%)98.0%

Sample

1st row시민회관 대공연장
2nd row복사골문화센터 아트홀
3rd row시민회관 소공연장
4th row복사골문화센터 판타지아극장
5th row오정아트홀
ValueCountFrequency (%)
야외공연장 16
 
10.9%
복사골문화센터 3
 
2.0%
산울림청소년수련관 2
 
1.4%
행정복지센터 2
 
1.4%
현대백화점 2
 
1.4%
갤러리 2
 
1.4%
도당산 2
 
1.4%
시민학습원 2
 
1.4%
한국만화영상진흥원 2
 
1.4%
부천시 2
 
1.4%
Other values (110) 112
76.2%
2023-12-13T01:58:44.465590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
5.2%
공 31
 
3.5%
교 31
 
3.5%
장 30
 
3.4%
부 27
 
3.0%
천 25
 
2.8%
회 23
 
2.6%
연 21
 
2.4%
원 20
 
2.2%
관 20
 
2.2%
Other values (167) 617
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
92.4%
Space Separator 46
 
5.2%
Close Punctuation 8
 
0.9%
Open Punctuation 8
 
0.9%
Decimal Number 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 31
 
3.8%
교 31
 
3.8%
장 30
 
3.6%
부 27
 
3.3%
천 25
 
3.0%
회 23
 
2.8%
연 21
 
2.6%
원 20
 
2.4%
관 20
 
2.4%
외 20
 
2.4%
Other values (159) 575
69.9%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 1
16.7%
0 1
16.7%
9 1
16.7%
2 1
16.7%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
92.4%
Common 68
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 31
 
3.8%
교 31
 
3.8%
장 30
 
3.6%
부 27
 
3.3%
천 25
 
3.0%
회 23
 
2.8%
연 21
 
2.6%
원 20
 
2.4%
관 20
 
2.4%
외 20
 
2.4%
Other values (159) 575
69.9%
Common
ValueCountFrequency (%)
46
67.6%
) 8
 
11.8%
( 8
 
11.8%
1 2
 
2.9%
4 1
 
1.5%
0 1
 
1.5%
9 1
 
1.5%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
92.4%
ASCII 68
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
67.6%
) 8
 
11.8%
( 8
 
11.8%
1 2
 
2.9%
4 1
 
1.5%
0 1
 
1.5%
9 1
 
1.5%
2 1
 
1.5%
Hangul
ValueCountFrequency (%)
공 31
 
3.8%
교 31
 
3.8%
장 30
 
3.6%
부 27
 
3.3%
천 25
 
3.0%
회 23
 
2.8%
연 21
 
2.6%
원 20
 
2.4%
관 20
 
2.4%
외 20
 
2.4%
Other values (159) 575
69.9%

주소
Text

Distinct96
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:58:44.742308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length23.811881
Min length15

Characters and Unicode

Total characters2405
Distinct characters100
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)91.1%

Sample

1st row경기도 부천시 부일로 365 (중동)
2nd row경기도 부천시 장말로 107 (상동)
3rd row경기도 부천시 부일로 365 (중동)
4th row경기도 부천시 장말로 107(상동)
5th row경기도 부천시 성오로 172 (오정동)
ValueCountFrequency (%)
경기도 101
20.4%
부천시 101
20.4%
상동 15
 
3.0%
중동 14
 
2.8%
길주로 12
 
2.4%
괴안동 6
 
1.2%
소사본동 5
 
1.0%
장말로 5
 
1.0%
경인로 5
 
1.0%
부일로 4
 
0.8%
Other values (158) 226
45.7%
2023-12-13T01:58:45.148757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
22.9%
부 116
 
4.8%
경 114
 
4.7%
천 113
 
4.7%
도 106
 
4.4%
시 102
 
4.2%
기 102
 
4.2%
로 93
 
3.9%
동 92
 
3.8%
( 90
 
3.7%
Other values (90) 927
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1311
54.5%
Space Separator 550
22.9%
Decimal Number 355
 
14.8%
Open Punctuation 90
 
3.7%
Close Punctuation 90
 
3.7%
Dash Punctuation 8
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 116
 
8.8%
경 114
 
8.7%
천 113
 
8.6%
도 106
 
8.1%
시 102
 
7.8%
기 102
 
7.8%
로 93
 
7.1%
동 92
 
7.0%
길 46
 
3.5%
번 32
 
2.4%
Other values (75) 395
30.1%
Decimal Number
ValueCountFrequency (%)
1 58
16.3%
2 52
14.6%
3 47
13.2%
0 37
10.4%
6 31
8.7%
7 31
8.7%
5 28
7.9%
9 26
7.3%
4 25
7.0%
8 20
 
5.6%
Space Separator
ValueCountFrequency (%)
550
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1311
54.5%
Common 1094
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 116
 
8.8%
경 114
 
8.7%
천 113
 
8.6%
도 106
 
8.1%
시 102
 
7.8%
기 102
 
7.8%
로 93
 
7.1%
동 92
 
7.0%
길 46
 
3.5%
번 32
 
2.4%
Other values (75) 395
30.1%
Common
ValueCountFrequency (%)
550
50.3%
( 90
 
8.2%
) 90
 
8.2%
1 58
 
5.3%
2 52
 
4.8%
3 47
 
4.3%
0 37
 
3.4%
6 31
 
2.8%
7 31
 
2.8%
5 28
 
2.6%
Other values (5) 80
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1311
54.5%
ASCII 1094
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
50.3%
( 90
 
8.2%
) 90
 
8.2%
1 58
 
5.3%
2 52
 
4.8%
3 47
 
4.3%
0 37
 
3.4%
6 31
 
2.8%
7 31
 
2.8%
5 28
 
2.6%
Other values (5) 80
 
7.3%
Hangul
ValueCountFrequency (%)
부 116
 
8.8%
경 114
 
8.7%
천 113
 
8.6%
도 106
 
8.1%
시 102
 
7.8%
기 102
 
7.8%
로 93
 
7.1%
동 92
 
7.0%
길 46
 
3.5%
번 32
 
2.4%
Other values (75) 395
30.1%

좌석수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)61.9%
Missing17
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean333.02381
Minimum4
Maximum4804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:58:45.289487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile18.3
Q1100
median153
Q3300.75
95-th percentile1129.2
Maximum4804
Range4800
Interquartile range (IQR)200.75

Descriptive statistics

Standard deviation607.81772
Coefficient of variation (CV)1.825148
Kurtosis35.940451
Mean333.02381
Median Absolute Deviation (MAD)84
Skewness5.3572002
Sum27974
Variance369442.38
MonotonicityNot monotonic
2023-12-13T01:58:45.433316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 8
 
7.9%
100 7
 
6.9%
200 7
 
6.9%
120 3
 
3.0%
400 3
 
3.0%
180 2
 
2.0%
130 2
 
2.0%
1000 2
 
2.0%
80 2
 
2.0%
60 2
 
2.0%
Other values (42) 46
45.5%
(Missing) 17
 
16.8%
ValueCountFrequency (%)
4 1
1.0%
5 1
1.0%
13 1
1.0%
14 1
1.0%
18 1
1.0%
20 1
1.0%
25 1
1.0%
30 2
2.0%
40 1
1.0%
42 1
1.0%
ValueCountFrequency (%)
4804 1
1.0%
2000 1
1.0%
1500 1
1.0%
1372 1
1.0%
1152 1
1.0%
1000 2
2.0%
900 1
1.0%
784 1
1.0%
656 1
1.0%
617 1
1.0%

면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)94.4%
Missing83
Missing (%)82.2%
Infinite0
Infinite (%)0.0%
Mean1204.6889
Minimum72
Maximum6662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:58:45.539072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile163.8
Q1336.5
median631
Q31209
95-th percentile3670
Maximum6662
Range6590
Interquartile range (IQR)872.5

Descriptive statistics

Standard deviation1592.0731
Coefficient of variation (CV)1.3215637
Kurtosis8.278156
Mean1204.6889
Median Absolute Deviation (MAD)400.3
Skewness2.7207435
Sum21684.4
Variance2534696.8
MonotonicityNot monotonic
2023-12-13T01:58:45.638998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
330.0 2
 
2.0%
2623.0 1
 
1.0%
1206.0 1
 
1.0%
1210.0 1
 
1.0%
1275.0 1
 
1.0%
646.0 1
 
1.0%
6662.0 1
 
1.0%
616.0 1
 
1.0%
180.0 1
 
1.0%
3142.0 1
 
1.0%
Other values (7) 7
 
6.9%
(Missing) 83
82.2%
ValueCountFrequency (%)
72.0 1
1.0%
180.0 1
1.0%
281.4 1
1.0%
330.0 2
2.0%
356.0 1
1.0%
395.0 1
1.0%
400.0 1
1.0%
616.0 1
1.0%
646.0 1
1.0%
840.0 1
1.0%
ValueCountFrequency (%)
6662.0 1
1.0%
3142.0 1
1.0%
2623.0 1
1.0%
1275.0 1
1.0%
1210.0 1
1.0%
1206.0 1
1.0%
1120.0 1
1.0%
840.0 1
1.0%
646.0 1
1.0%
616.0 1
1.0%

사용용도
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
야외공연장
22 
교육관
20 
강당
18 
체육관
13 
소공연장
6 
Other values (9)
22 

Length

Max length8
Median length7
Mean length3.7227723
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row대공연장
2nd row대공연장
3rd row소공연장
4th row소공연장
5th row소공연장

Common Values

ValueCountFrequency (%)
야외공연장 22
21.8%
교육관 20
19.8%
강당 18
17.8%
체육관 13
12.9%
소공연장 6
 
5.9%
연습실 5
 
5.0%
대공연장 4
 
4.0%
전시관 4
 
4.0%
소공연장(강당) 2
 
2.0%
공연장(대강당) 2
 
2.0%
Other values (4) 5
 
5.0%

Length

2023-12-13T01:58:45.761252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
야외공연장 22
21.8%
교육관 20
19.8%
강당 19
18.8%
체육관 13
12.9%
소공연장 6
 
5.9%
연습실 5
 
5.0%
대공연장 4
 
4.0%
전시관 4
 
4.0%
소공연장(강당 2
 
2.0%
공연장(대강당 2
 
2.0%
Other values (3) 4
 
4.0%

주요보유장비 및 설비
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size940.0 B
무대.조명.빔프로젝트.스크린
20 
빔프로젝트. 스크린
10 
무대. 전기
8 
빔프로젝트.스크린
8 
무대.전기
7 
Other values (31)
48 

Length

Max length25
Median length19
Mean length10.80198
Min length2

Unique

Unique24 ?
Unique (%)23.8%

Sample

1st row무대.조명.영사기.스크린
2nd row무대.조명.상영.스크린
3rd row무대.조명.상영.스크린
4th row무대.조명.상영.스크린
5th row무대.조명.상영.스크린

Common Values

ValueCountFrequency (%)
무대.조명.빔프로젝트.스크린 20
19.8%
빔프로젝트. 스크린 10
 
9.9%
무대. 전기 8
 
7.9%
빔프로젝트.스크린 8
 
7.9%
무대.전기 7
 
6.9%
무대.조명.상영.스크린 7
 
6.9%
스크린 4
 
4.0%
무대. 전기. 의자 3
 
3.0%
무대.빔프로젝트.스크린 3
 
3.0%
전시대.조명. 전기 3
 
3.0%
Other values (26) 28
27.7%

Length

2023-12-13T01:58:45.887044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무대.조명.빔프로젝트.스크린 20
12.4%
무대 20
12.4%
스크린 18
11.2%
전기 15
 
9.3%
빔프로젝트 15
 
9.3%
빔프로젝트.스크린 10
 
6.2%
무대.전기 7
 
4.3%
무대.조명.상영.스크린 7
 
4.3%
조명 4
 
2.5%
등 4
 
2.5%
Other values (29) 41
25.5%

성명
Text

Distinct58
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:58:46.113498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.4653465
Min length3

Characters and Unicode

Total characters754
Distinct characters120
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

Unique45 ?
Unique (%)44.6%

Sample

1st row부천문화재단
2nd row부천문화재단
3rd row부천문화재단
4th row부천문화재단
5th row부천문화재단
ValueCountFrequency (%)
부천시(공원관리과 12
 
11.8%
부천문화재단 11
 
10.8%
부천시(문화예술과 5
 
4.9%
부천도시공사 5
 
4.9%
부천여성청소년재단 4
 
3.9%
부천시(교통사업과 4
 
3.9%
부천문화원 3
 
2.9%
현대백화점 2
 
2.0%
서울신학대학교 2
 
2.0%
부천시(평생교육과 2
 
2.0%
Other values (49) 52
51.0%
2023-12-13T01:58:46.599302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 61
 
8.1%
천 61
 
8.1%
교 37
 
4.9%
시 33
 
4.4%
( 30
 
4.0%
) 30
 
4.0%
과 29
 
3.8%
화 25
 
3.3%
원 21
 
2.8%
회 21
 
2.8%
Other values (110) 406
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
91.5%
Open Punctuation 30
 
4.0%
Close Punctuation 30
 
4.0%
Space Separator 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 61
 
8.8%
천 61
 
8.8%
교 37
 
5.4%
시 33
 
4.8%
과 29
 
4.2%
화 25
 
3.6%
원 21
 
3.0%
회 21
 
3.0%
문 21
 
3.0%
관 20
 
2.9%
Other values (105) 361
52.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 690
91.5%
Common 64
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 61
 
8.8%
천 61
 
8.8%
교 37
 
5.4%
시 33
 
4.8%
과 29
 
4.2%
화 25
 
3.6%
원 21
 
3.0%
회 21
 
3.0%
문 21
 
3.0%
관 20
 
2.9%
Other values (105) 361
52.3%
Common
ValueCountFrequency (%)
( 30
46.9%
) 30
46.9%
2
 
3.1%
1 1
 
1.6%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
91.5%
ASCII 64
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 61
 
8.8%
천 61
 
8.8%
교 37
 
5.4%
시 33
 
4.8%
과 29
 
4.2%
화 25
 
3.6%
원 21
 
3.0%
회 21
 
3.0%
문 21
 
3.0%
관 20
 
2.9%
Other values (105) 361
52.3%
ASCII
ValueCountFrequency (%)
( 30
46.9%
) 30
46.9%
2
 
3.1%
1 1
 
1.6%
2 1
 
1.6%

전화번호
Text

Distinct73
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:58:46.924941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.118812
Min length12

Characters and Unicode

Total characters1224
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

Unique62 ?
Unique (%)61.4%

Sample

1st row032-652-5848
2nd row032-320-6320
3rd row032-652-5848
4th row032-320-6320
5th row032-320-6320
ValueCountFrequency (%)
032-625-4863 12
 
11.9%
032-320-6381 5
 
5.0%
032-625-3828 4
 
4.0%
032-320-6320 3
 
3.0%
032-651-3739 3
 
3.0%
032-310-3045 2
 
2.0%
032-652-5848 2
 
2.0%
032-625-3115 2
 
2.0%
032-625-3113 2
 
2.0%
032-344-4480 2
 
2.0%
Other values (63) 64
63.4%
2023-12-13T01:58:47.394691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 202
16.5%
0 194
15.8%
3 191
15.6%
2 182
14.9%
6 103
8.4%
5 73
 
6.0%
4 66
 
5.4%
7 60
 
4.9%
1 59
 
4.8%
8 53
 
4.3%
Other values (2) 41
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1021
83.4%
Dash Punctuation 202
 
16.5%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
19.0%
3 191
18.7%
2 182
17.8%
6 103
10.1%
5 73
 
7.1%
4 66
 
6.5%
7 60
 
5.9%
1 59
 
5.8%
8 53
 
5.2%
9 40
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1224
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 202
16.5%
0 194
15.8%
3 191
15.6%
2 182
14.9%
6 103
8.4%
5 73
 
6.0%
4 66
 
5.4%
7 60
 
4.9%
1 59
 
4.8%
8 53
 
4.3%
Other values (2) 41
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 202
16.5%
0 194
15.8%
3 191
15.6%
2 182
14.9%
6 103
8.4%
5 73
 
6.0%
4 66
 
5.4%
7 60
 
4.9%
1 59
 
4.8%
8 53
 
4.3%
Other values (2) 41
 
3.3%

소유기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size940.0 B
공공기관
64 
종교기관
15 
민간기관
 
6
창영초등학교
 
1
서울신학대학교
 
1
Other values (14)
14 

Length

Max length8
Median length4
Mean length4.4158416
Min length4

Unique

Unique16 ?
Unique (%)15.8%

Sample

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

Common Values

ValueCountFrequency (%)
공공기관 64
63.4%
종교기관 15
 
14.9%
민간기관 6
 
5.9%
창영초등학교 1
 
1.0%
서울신학대학교 1
 
1.0%
유한대학교 1
 
1.0%
부천남초등학교 1
 
1.0%
원미초등학교 1
 
1.0%
부천역곡초등학교 1
 
1.0%
경기예술고등학교 1
 
1.0%
Other values (9) 9
 
8.9%

Length

2023-12-13T01:58:47.543673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공기관 64
63.4%
종교기관 15
 
14.9%
민간기관 6
 
5.9%
성주중학교 1
 
1.0%
가톨릭대학교 1
 
1.0%
부천여자중학교 1
 
1.0%
소명여자고등학교 1
 
1.0%
경기경영고등학교 1
 
1.0%
부천고등학교 1
 
1.0%
수주중학교 1
 
1.0%
Other values (9) 9
 
8.9%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
95 
좌석수=연습실수
 
5
좌석없음
 
1

Length

Max length8
Median length4
Mean length4.1980198
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
94.1%
좌석수=연습실수 5
 
5.0%
좌석없음 1
 
1.0%

Length

2023-12-13T01:58:47.709117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:58:47.818160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
94.1%
좌석수=연습실수 5
 
5.0%
좌석없음 1
 
1.0%

Interactions

2023-12-13T01:58:43.222096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:42.808223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:43.023694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:43.284871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:42.886030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:43.086122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:43.348449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:42.954028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:43.157851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:58:47.896818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주소좌석수면적사용용도주요보유장비 및 설비성명전화번호소유기관비고
연번1.0000.9510.9410.4800.5440.8560.8660.8990.9420.7290.000
시설명0.9511.0000.9971.0001.0000.0000.9941.0001.0001.0001.000
주소0.9410.9971.0000.8411.0000.0000.0001.0001.0001.0001.000
좌석수0.4801.0000.8411.000NaN0.6050.9400.0000.9620.852NaN
면적0.5441.0001.000NaN1.0000.0000.5630.9650.9930.998NaN
사용용도0.8560.0000.0000.6050.0001.0000.8970.8590.9520.4070.000
주요보유장비 및 설비0.8660.9940.0000.9400.5630.8971.0000.0000.7230.0001.000
성명0.8991.0001.0000.0000.9650.8590.0001.0001.0000.9990.000
전화번호0.9421.0001.0000.9620.9930.9520.7231.0001.0001.0000.000
소유기관0.7291.0001.0000.8520.9980.4070.0000.9991.0001.0000.000
비고0.0001.0001.000NaNNaN0.0001.0000.0000.0000.0001.000
2023-12-13T01:58:48.036685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소유기관비고사용용도주요보유장비 및 설비
소유기관1.0000.0000.1350.000
비고0.0001.0000.0001.000
사용용도0.1350.0001.0000.453
주요보유장비 및 설비0.0001.0000.4531.000
2023-12-13T01:58:48.131569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번좌석수면적사용용도주요보유장비 및 설비소유기관비고
연번1.000-0.0040.7340.5400.4420.3550.000
좌석수-0.0041.000NaN0.3350.6070.6501.000
면적0.734NaN1.0000.0000.2540.7270.000
사용용도0.5400.3350.0001.0000.4530.1350.000
주요보유장비 및 설비0.4420.6070.2540.4531.0000.0001.000
소유기관0.3550.6500.7270.1350.0001.0000.000
비고0.0001.0000.0000.0001.0000.0001.000

Missing values

2023-12-13T01:58:43.438175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:58:43.567543image/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.
2023-12-13T01:58:43.670226image/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

연번시설명주소좌석수면적사용용도주요보유장비 및 설비성명전화번호소유기관비고
01시민회관 대공연장경기도 부천시 부일로 365 (중동)1152<NA>대공연장무대.조명.영사기.스크린부천문화재단032-652-5848공공기관<NA>
12복사골문화센터 아트홀경기도 부천시 장말로 107 (상동)531<NA>대공연장무대.조명.상영.스크린부천문화재단032-320-6320공공기관<NA>
23시민회관 소공연장경기도 부천시 부일로 365 (중동)221<NA>소공연장무대.조명.상영.스크린부천문화재단032-652-5848공공기관<NA>
34복사골문화센터 판타지아극장경기도 부천시 장말로 107(상동)181<NA>소공연장무대.조명.상영.스크린부천문화재단032-320-6320공공기관<NA>
45오정아트홀경기도 부천시 성오로 172 (오정동)404<NA>소공연장무대.조명.상영.스크린부천문화재단032-320-6320공공기관<NA>
56소사어울마당(소향관)경기도 부천시 경인옛로 73 (소사본동)303<NA>소공연장(강당)무대.조명.상영.스크린부천시(재산활용과)032-625-6965공공기관<NA>
67산울림청소년수련관경기도 부천시 역곡로 149-65 (춘의동)100<NA>소공연장(강당)무대.조명.빔프로젝트.스크린부천여성청소년재단032-344-4480공공기관<NA>
78시청어울마당경기도 부천시 길주로 210 (중동)535<NA>공연장(대강당)무대.조명.상영.스크린부천시(행정지원과)032-625-2235공공기관<NA>
89부천동 행정복지센터경기도 부천시 부천로136번길 27 (원미동)50<NA>강당빔프로젝트.스크린부천동(마을자치과)032-625-5191공공기관<NA>
910오정동 행정복지센터경기도 부천시 성오로 172(오정어울마당)150<NA>강당무대.조명.빔프로젝트.스크린오정동(마을자치과)032-625-7222공공기관<NA>
연번시설명주소좌석수면적사용용도주요보유장비 및 설비성명전화번호소유기관비고
9192대부천성결교회경기도 부천시 소사로300번길 57 (소사동)150<NA>교육관빔프로젝트.스크린대부천성결교회032-349-2190종교기관<NA>
9293역곡동교회경기도 부천시 역곡로46번길 61 (역곡동)150<NA>교육관빔프로젝트.스크린역곡동교회032-344-7811종교기관<NA>
9394역곡감리교회경기도 부천시 지봉로 91 (역곡동)130<NA>교육관무대.빔프로젝트.스크린역곡감리교회032-345-7471종교기관<NA>
9495약대교회경기도 부천시 신흥로 307 (약대동)70<NA>교육관빔프로젝트. 스크린약대교회032-679-8936종교기관<NA>
9596내동교회경기도 부천시 수도로 183 (내동)150<NA>교육관무대. 빔프로젝트. 스크린내동교회032-677-5959종교기관<NA>
9697석왕사경기도 부천시 소사로 367 (원미동)1000<NA>야외공연장전기석왕사032-663-7771종교기관<NA>
9798현대백화점 문화홀(9층)경기도 부천시 길주로 180 (중동)200<NA>소공연장무대.조명.빔프로젝트.스크린현대백화점032-623-3250민간기관좌석없음
9899롯데백화점 문화홀(10층)경기도 부천시 길주로 300 (중동)200<NA>소공연장무대.조명.빔프로젝트.스크린롯데백화점032-320-7601민간기관<NA>
99100뉴코아소극장부천점(4층)경기도 부천시 송내대로 239 (상동)150<NA>소공연장무대.조명.빔프로젝트.스크린뉴코아부천점032-624-8120민간기관<NA>
100101성가요양원경기도 부천시 소사로 327 (소사동)130<NA>강당빔프로젝트.스크린성가요양원032-340-5100민간기관<NA>