Overview

Dataset statistics

Number of variables14
Number of observations59
Missing cells22
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory118.2 B

Variable types

Categorical5
Text4
Numeric4
DateTime1

Dataset

Description대전광역시 공연시설 현황입니다.등록된 공연시설은, 공연법상 공연시설의 조건을 충족하는 공연장입니다. 구청에서 등록 공연장을 관리하고 있습니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15062225/fileData.do

Alerts

시도 has constant value ""Constant
비고 is highly overall correlated with 등록여부High correlation
등록여부 is highly overall correlated with 수용인원 and 6 other fieldsHigh correlation
시군구 is highly overall correlated with 등록여부High correlation
분류 is highly overall correlated with 수용인원 and 2 other fieldsHigh correlation
수용인원 is highly overall correlated with 객석수 and 3 other fieldsHigh correlation
객석수 is highly overall correlated with 수용인원 and 3 other fieldsHigh correlation
장애인석 is highly overall correlated with 수용인원 and 3 other fieldsHigh correlation
구동기계 is highly overall correlated with 장애인석 and 1 other fieldsHigh correlation
장애인석 has 1 (1.7%) missing valuesMissing
구동기계 has 1 (1.7%) missing valuesMissing
전화번호 has 1 (1.7%) missing valuesMissing
등록일 has 19 (32.2%) missing valuesMissing
공연장명 has unique valuesUnique
장애인석 has 37 (62.7%) zerosZeros
구동기계 has 38 (64.4%) zerosZeros

Reproduction

Analysis started2023-12-12 03:56:21.281809
Analysis finished2023-12-12 03:56:25.402848
Duration4.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
대전광역시
59 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 59
100.0%

Length

2023-12-12T12:56:25.499914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:25.630697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 59
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
서구
16 
중구
14 
대덕구
12 
유성구
11 
동구
6 

Length

Max length3
Median length2
Mean length2.3898305
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 16
27.1%
중구 14
23.7%
대덕구 12
20.3%
유성구 11
18.6%
동구 6
 
10.2%

Length

2023-12-12T12:56:25.835013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:25.998654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 16
27.1%
중구 14
23.7%
대덕구 12
20.3%
유성구 11
18.6%
동구 6
 
10.2%

공연장명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:56:26.274070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.9661017
Min length3

Characters and Unicode

Total characters470
Distinct characters140
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row대덕문예회관
2nd row매지컬아트홀
3rd row송상헌의 난타 소극장
4th row대덕구청소년수련관
5th row안산도서관
ValueCountFrequency (%)
대덕문예회관 1
 
1.5%
여민관 1
 
1.5%
정심화국제문화회관(백마홀 1
 
1.5%
정심화국제문화회관(정심화홀 1
 
1.5%
플랜에이b홀 1
 
1.5%
아트홀 1
 
1.5%
조이마루 1
 
1.5%
이음아트홀 1
 
1.5%
클래식 1
 
1.5%
용운도서관 1
 
1.5%
Other values (58) 58
85.3%
2023-12-12T12:56:26.792843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 22
 
4.7%
대 20
 
4.3%
홀 15
 
3.2%
전 13
 
2.8%
아 13
 
2.8%
화 13
 
2.8%
트 12
 
2.6%
문 12
 
2.6%
( 12
 
2.6%
) 12
 
2.6%
Other values (130) 326
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
91.1%
Open Punctuation 12
 
2.6%
Close Punctuation 12
 
2.6%
Space Separator 9
 
1.9%
Decimal Number 6
 
1.3%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 22
 
5.1%
대 20
 
4.7%
홀 15
 
3.5%
전 13
 
3.0%
아 13
 
3.0%
화 13
 
3.0%
트 12
 
2.8%
문 12
 
2.8%
소 12
 
2.8%
장 9
 
2.1%
Other values (123) 287
67.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 3
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
B 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
91.1%
Common 39
 
8.3%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 22
 
5.1%
대 20
 
4.7%
홀 15
 
3.5%
전 13
 
3.0%
아 13
 
3.0%
화 13
 
3.0%
트 12
 
2.8%
문 12
 
2.8%
소 12
 
2.8%
장 9
 
2.1%
Other values (123) 287
67.1%
Common
ValueCountFrequency (%)
( 12
30.8%
) 12
30.8%
9
23.1%
2 3
 
7.7%
1 3
 
7.7%
Latin
ValueCountFrequency (%)
C 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
91.1%
ASCII 42
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 22
 
5.1%
대 20
 
4.7%
홀 15
 
3.5%
전 13
 
3.0%
아 13
 
3.0%
화 13
 
3.0%
트 12
 
2.8%
문 12
 
2.8%
소 12
 
2.8%
장 9
 
2.1%
Other values (123) 287
67.1%
ASCII
ValueCountFrequency (%)
( 12
28.6%
) 12
28.6%
9
21.4%
2 3
 
7.1%
1 3
 
7.1%
C 2
 
4.8%
B 1
 
2.4%

분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
소극장
35 
일반
18 
종합
5 
공연장
 
1

Length

Max length3
Median length3
Mean length2.6101695
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row소극장
2nd row소극장
3rd row소극장
4th row일반
5th row소극장

Common Values

ValueCountFrequency (%)
소극장 35
59.3%
일반 18
30.5%
종합 5
 
8.5%
공연장 1
 
1.7%

Length

2023-12-12T12:56:26.971470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:27.127852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소극장 35
59.3%
일반 18
30.5%
종합 5
 
8.5%
공연장 1
 
1.7%

수용인원
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.35593
Minimum20
Maximum1817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:56:27.282700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile50
Q1115
median196
Q3398
95-th percentile1234.9
Maximum1817
Range1797
Interquartile range (IQR)283

Descriptive statistics

Standard deviation387.90502
Coefficient of variation (CV)1.1264653
Kurtosis5.2762837
Mean344.35593
Median Absolute Deviation (MAD)116
Skewness2.3107912
Sum20317
Variance150470.3
MonotonicityNot monotonic
2023-12-12T12:56:27.487783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
100 6
 
10.2%
50 3
 
5.1%
150 2
 
3.4%
130 2
 
3.4%
200 2
 
3.4%
340 2
 
3.4%
1817 1
 
1.7%
799 1
 
1.7%
317 1
 
1.7%
135 1
 
1.7%
Other values (38) 38
64.4%
ValueCountFrequency (%)
20 1
 
1.7%
30 1
 
1.7%
50 3
5.1%
54 1
 
1.7%
59 1
 
1.7%
80 1
 
1.7%
86 1
 
1.7%
100 6
10.2%
130 2
 
3.4%
135 1
 
1.7%
ValueCountFrequency (%)
1817 1
1.7%
1552 1
1.7%
1549 1
1.7%
1200 1
1.7%
1100 1
1.7%
799 1
1.7%
752 1
1.7%
655 1
1.7%
600 1
1.7%
504 1
1.7%

객석수
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.50847
Minimum20
Maximum1815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:56:27.706589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile50
Q1115.5
median195
Q3398
95-th percentile1234.9
Maximum1815
Range1795
Interquartile range (IQR)282.5

Descriptive statistics

Standard deviation387.373
Coefficient of variation (CV)1.1244223
Kurtosis5.294475
Mean344.50847
Median Absolute Deviation (MAD)109
Skewness2.3174247
Sum20326
Variance150057.84
MonotonicityNot monotonic
2023-12-12T12:56:27.870851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6
 
10.2%
50 3
 
5.1%
130 2
 
3.4%
150 2
 
3.4%
175 1
 
1.7%
20 1
 
1.7%
799 1
 
1.7%
317 1
 
1.7%
135 1
 
1.7%
30 1
 
1.7%
Other values (40) 40
67.8%
ValueCountFrequency (%)
20 1
 
1.7%
30 1
 
1.7%
50 3
5.1%
54 1
 
1.7%
80 1
 
1.7%
86 1
 
1.7%
100 6
10.2%
101 1
 
1.7%
130 2
 
3.4%
135 1
 
1.7%
ValueCountFrequency (%)
1815 1
1.7%
1552 1
1.7%
1549 1
1.7%
1200 1
1.7%
1100 1
1.7%
799 1
1.7%
750 1
1.7%
655 1
1.7%
605 1
1.7%
504 1
1.7%

장애인석
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct10
Distinct (%)17.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2.2758621
Minimum0
Maximum21
Zeros37
Zeros (%)62.7%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:56:28.031080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile8.3
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.90588
Coefficient of variation (CV)1.71622
Kurtosis8.2295934
Mean2.2758621
Median Absolute Deviation (MAD)0
Skewness2.4508072
Sum132
Variance15.255898
MonotonicityNot monotonic
2023-12-12T12:56:28.166423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 37
62.7%
4 7
 
11.9%
7 3
 
5.1%
8 3
 
5.1%
10 2
 
3.4%
2 2
 
3.4%
5 1
 
1.7%
3 1
 
1.7%
21 1
 
1.7%
6 1
 
1.7%
(Missing) 1
 
1.7%
ValueCountFrequency (%)
0 37
62.7%
2 2
 
3.4%
3 1
 
1.7%
4 7
 
11.9%
5 1
 
1.7%
6 1
 
1.7%
7 3
 
5.1%
8 3
 
5.1%
10 2
 
3.4%
21 1
 
1.7%
ValueCountFrequency (%)
21 1
 
1.7%
10 2
 
3.4%
8 3
 
5.1%
7 3
 
5.1%
6 1
 
1.7%
5 1
 
1.7%
4 7
 
11.9%
3 1
 
1.7%
2 2
 
3.4%
0 37
62.7%

구동기계
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)29.3%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean9.7586207
Minimum0
Maximum154
Zeros38
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:56:28.298804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.75
95-th percentile52.45
Maximum154
Range154
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation26.45374
Coefficient of variation (CV)2.7108073
Kurtosis17.63557
Mean9.7586207
Median Absolute Deviation (MAD)0
Skewness4.0226362
Sum566
Variance699.80036
MonotonicityNot monotonic
2023-12-12T12:56:28.449699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 38
64.4%
8 3
 
5.1%
16 2
 
3.4%
2 2
 
3.4%
11 1
 
1.7%
6 1
 
1.7%
9 1
 
1.7%
25 1
 
1.7%
29 1
 
1.7%
5 1
 
1.7%
Other values (7) 7
 
11.9%
ValueCountFrequency (%)
0 38
64.4%
2 2
 
3.4%
5 1
 
1.7%
6 1
 
1.7%
7 1
 
1.7%
8 3
 
5.1%
9 1
 
1.7%
11 1
 
1.7%
14 1
 
1.7%
16 2
 
3.4%
ValueCountFrequency (%)
154 1
1.7%
93 1
1.7%
89 1
1.7%
46 1
1.7%
29 1
1.7%
25 1
1.7%
18 1
1.7%
16 2
3.4%
14 1
1.7%
11 1
1.7%

소재지 도로명주소
Text

Distinct51
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:56:28.769585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.389831
Min length12

Characters and Unicode

Total characters908
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)72.9%

Sample

1st row대전 대덕구 대전로 1348
2nd row대전 대덕구 덕암로 243
3rd row대전 대덕구 비래동로 43
4th row대전 대덕구 쌍청당로 25
5th row대전 대덕구 계족로663번길 25
ValueCountFrequency (%)
대전 58
24.4%
서구 16
 
6.7%
중구 14
 
5.9%
대덕구 12
 
5.0%
유성구 11
 
4.6%
동구 6
 
2.5%
둔산대로 6
 
2.5%
대종로 4
 
1.7%
대학로 3
 
1.3%
25 3
 
1.3%
Other values (84) 105
44.1%
2023-12-12T12:56:29.306489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
19.7%
대 99
 
10.9%
전 62
 
6.8%
구 61
 
6.7%
로 59
 
6.5%
1 38
 
4.2%
5 27
 
3.0%
4 27
 
3.0%
2 23
 
2.5%
길 20
 
2.2%
Other values (74) 313
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
57.3%
Decimal Number 205
 
22.6%
Space Separator 179
 
19.7%
Dash Punctuation 3
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 99
19.0%
전 62
11.9%
구 61
11.7%
로 59
11.3%
길 20
 
3.8%
번 20
 
3.8%
중 20
 
3.8%
서 17
 
3.3%
덕 16
 
3.1%
동 14
 
2.7%
Other values (61) 132
25.4%
Decimal Number
ValueCountFrequency (%)
1 38
18.5%
5 27
13.2%
4 27
13.2%
2 23
11.2%
3 20
9.8%
0 19
9.3%
8 16
7.8%
9 13
 
6.3%
7 11
 
5.4%
6 11
 
5.4%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
57.3%
Common 387
42.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 99
19.0%
전 62
11.9%
구 61
11.7%
로 59
11.3%
길 20
 
3.8%
번 20
 
3.8%
중 20
 
3.8%
서 17
 
3.3%
덕 16
 
3.1%
동 14
 
2.7%
Other values (61) 132
25.4%
Common
ValueCountFrequency (%)
179
46.3%
1 38
 
9.8%
5 27
 
7.0%
4 27
 
7.0%
2 23
 
5.9%
3 20
 
5.2%
0 19
 
4.9%
8 16
 
4.1%
9 13
 
3.4%
7 11
 
2.8%
Other values (2) 14
 
3.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
57.3%
ASCII 388
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
46.1%
1 38
 
9.8%
5 27
 
7.0%
4 27
 
7.0%
2 23
 
5.9%
3 20
 
5.2%
0 19
 
4.9%
8 16
 
4.1%
9 13
 
3.4%
7 11
 
2.8%
Other values (3) 15
 
3.9%
Hangul
ValueCountFrequency (%)
대 99
19.0%
전 62
11.9%
구 61
11.7%
로 59
11.3%
길 20
 
3.8%
번 20
 
3.8%
중 20
 
3.8%
서 17
 
3.3%
덕 16
 
3.1%
동 14
 
2.7%
Other values (61) 132
25.4%

소재지 지번주소
Text

Distinct49
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:56:29.679153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length14.847458
Min length12

Characters and Unicode

Total characters876
Distinct characters72
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

Unique43 ?
Unique (%)72.9%

Sample

1st row대전 대덕구 읍내동 324-5
2nd row대전광역시 대덕구 덕암동 44-3
3rd row대전광역시 대덕구 비래동 130-10
4th row대전 대덕구 중리동 101-1
5th row대전 대덕구 법동 284-2
ValueCountFrequency (%)
대전 51
21.4%
서구 16
 
6.7%
중구 14
 
5.9%
대덕구 12
 
5.0%
유성구 11
 
4.6%
대흥동 11
 
4.6%
대전광역시 8
 
3.4%
만년동 7
 
2.9%
396 6
 
2.5%
동구 6
 
2.5%
Other values (79) 96
40.3%
2023-12-12T12:56:30.175675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
21.0%
대 83
 
9.5%
동 65
 
7.4%
구 60
 
6.8%
전 59
 
6.7%
1 31
 
3.5%
4 31
 
3.5%
- 29
 
3.3%
3 25
 
2.9%
2 23
 
2.6%
Other values (62) 286
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
52.5%
Decimal Number 203
23.2%
Space Separator 184
 
21.0%
Dash Punctuation 29
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 83
18.0%
동 65
14.1%
구 60
13.0%
전 59
12.8%
서 16
 
3.5%
중 15
 
3.3%
덕 14
 
3.0%
성 12
 
2.6%
유 11
 
2.4%
흥 11
 
2.4%
Other values (50) 114
24.8%
Decimal Number
ValueCountFrequency (%)
1 31
15.3%
4 31
15.3%
3 25
12.3%
2 23
11.3%
9 19
9.4%
5 18
8.9%
6 17
8.4%
0 17
8.4%
8 14
6.9%
7 8
 
3.9%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
52.5%
Common 416
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 83
18.0%
동 65
14.1%
구 60
13.0%
전 59
12.8%
서 16
 
3.5%
중 15
 
3.3%
덕 14
 
3.0%
성 12
 
2.6%
유 11
 
2.4%
흥 11
 
2.4%
Other values (50) 114
24.8%
Common
ValueCountFrequency (%)
184
44.2%
1 31
 
7.5%
4 31
 
7.5%
- 29
 
7.0%
3 25
 
6.0%
2 23
 
5.5%
9 19
 
4.6%
5 18
 
4.3%
6 17
 
4.1%
0 17
 
4.1%
Other values (2) 22
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
52.5%
ASCII 416
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
44.2%
1 31
 
7.5%
4 31
 
7.5%
- 29
 
7.0%
3 25
 
6.0%
2 23
 
5.5%
9 19
 
4.6%
5 18
 
4.3%
6 17
 
4.1%
0 17
 
4.1%
Other values (2) 22
 
5.3%
Hangul
ValueCountFrequency (%)
대 83
18.0%
동 65
14.1%
구 60
13.0%
전 59
12.8%
서 16
 
3.5%
중 15
 
3.3%
덕 14
 
3.0%
성 12
 
2.6%
유 11
 
2.4%
흥 11
 
2.4%
Other values (50) 114
24.8%

전화번호
Text

MISSING 

Distinct52
Distinct (%)89.7%
Missing1
Missing (%)1.7%
Memory size604.0 B
2023-12-12T12:56:30.488692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.931034
Min length9

Characters and Unicode

Total characters692
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)79.3%

Sample

1st row042-628-6294
2nd row0507-1472-7816
3rd row042-628-5155
4th row042-626-7728
5th row042-633-2798
ValueCountFrequency (%)
042-480-1612 2
 
3.4%
042-610-2222 2
 
3.4%
042-270-8500 2
 
3.4%
042-821-8080 2
 
3.4%
1599-9210 2
 
3.4%
042-520-5858 2
 
3.4%
070-4144-5884 1
 
1.7%
042-828-3114 1
 
1.7%
042-824-5500 1
 
1.7%
042-822-1339 1
 
1.7%
Other values (42) 42
72.4%
2023-12-12T12:56:31.013987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 118
17.1%
- 112
16.2%
0 111
16.0%
4 84
12.1%
8 53
7.7%
1 44
 
6.4%
6 43
 
6.2%
5 37
 
5.3%
7 30
 
4.3%
9 30
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 580
83.8%
Dash Punctuation 112
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 118
20.3%
0 111
19.1%
4 84
14.5%
8 53
9.1%
1 44
 
7.6%
6 43
 
7.4%
5 37
 
6.4%
7 30
 
5.2%
9 30
 
5.2%
3 30
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 692
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 118
17.1%
- 112
16.2%
0 111
16.0%
4 84
12.1%
8 53
7.7%
1 44
 
6.4%
6 43
 
6.2%
5 37
 
5.3%
7 30
 
4.3%
9 30
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 118
17.1%
- 112
16.2%
0 111
16.0%
4 84
12.1%
8 53
7.7%
1 44
 
6.4%
6 43
 
6.2%
5 37
 
5.3%
7 30
 
4.3%
9 30
 
4.3%

등록일
Date

MISSING 

Distinct38
Distinct (%)95.0%
Missing19
Missing (%)32.2%
Memory size604.0 B
Minimum2002-12-30 00:00:00
Maximum2022-04-01 00:00:00
2023-12-12T12:56:31.232065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:31.416151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

등록여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
등록
40 
<NA>
19 

Length

Max length4
Median length2
Mean length2.6440678
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록 40
67.8%
<NA> 19
32.2%

Length

2023-12-12T12:56:31.597823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:31.750085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록 40
67.8%
na 19
32.2%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
공 공
29 
민 간
23 
민 간/개인정보
7 

Length

Max length8
Median length3
Mean length3.5932203
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공 공
2nd row민 간/개인정보
3rd row민 간
4th row공 공
5th row공 공

Common Values

ValueCountFrequency (%)
공 공 29
49.2%
민 간 23
39.0%
민 간/개인정보 7
 
11.9%

Length

2023-12-12T12:56:31.885110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:56:32.035388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공 58
49.2%
민 30
25.4%
간 23
 
19.5%
간/개인정보 7
 
5.9%

Interactions

2023-12-12T12:56:24.151108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:22.151765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.055296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.604156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:24.299492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:22.291025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.192329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.758504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:24.470837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:22.421748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.329581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.908351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:24.617101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:22.544609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:23.456062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:56:24.013893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:56:32.149450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구공연장명분류수용인원객석수장애인석구동기계소재지 도로명주소소재지 지번주소전화번호등록일비고
시군구1.0001.0000.0000.0000.0000.2520.0001.0001.0001.0001.0000.092
공연장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분류0.0001.0001.0000.9510.9520.4370.2840.0000.0000.0000.0000.263
수용인원0.0001.0000.9511.0001.0000.6470.7950.0000.0000.0000.0000.000
객석수0.0001.0000.9521.0001.0000.6430.7970.0000.0000.0000.0000.000
장애인석0.2521.0000.4370.6470.6431.0000.8810.0000.0000.0000.0000.284
구동기계0.0001.0000.2840.7950.7970.8811.0000.0000.0000.0000.0000.187
소재지 도로명주소1.0001.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.000
소재지 지번주소1.0001.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.000
등록일1.0001.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.000
비고0.0921.0000.2630.0000.0000.2840.1871.0001.0001.0001.0001.000
2023-12-12T12:56:32.313933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고등록여부시군구분류
비고1.0001.0000.0580.248
등록여부1.0001.0001.0001.000
시군구0.0581.0001.0000.000
분류0.2481.0000.0001.000
2023-12-12T12:56:32.445853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용인원객석수장애인석구동기계시군구분류등록여부비고
수용인원1.0000.9980.6160.4040.0000.6811.0000.000
객석수0.9981.0000.6120.4120.0000.6851.0000.000
장애인석0.6160.6121.0000.5210.1670.2881.0000.112
구동기계0.4040.4120.5211.0000.0000.1791.0000.065
시군구0.0000.0000.1670.0001.0000.0001.0000.058
분류0.6810.6850.2880.1790.0001.0001.0000.248
등록여부1.0001.0001.0001.0001.0001.0001.0001.000
비고0.0000.0000.1120.0650.0580.2481.0001.000

Missing values

2023-12-12T12:56:24.850580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:56:25.096823image/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.
2023-12-12T12:56:25.292481image/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

시도시군구공연장명분류수용인원객석수장애인석구동기계소재지 도로명주소소재지 지번주소전화번호등록일등록여부비고
0대전광역시대덕구대덕문예회관소극장175175011대전 대덕구 대전로 1348대전 대덕구 읍내동 324-5042-628-62942017-05-02등록공 공
1대전광역시대덕구매지컬아트홀소극장545400대전 대덕구 덕암로 243대전광역시 대덕구 덕암동 44-30507-1472-78162020-08-09등록민 간/개인정보
2대전광역시대덕구송상헌의 난타 소극장소극장868600대전 대덕구 비래동로 43대전광역시 대덕구 비래동 130-10042-628-51552015-05-04등록민 간
3대전광역시대덕구대덕구청소년수련관일반47246570대전 대덕구 쌍청당로 25대전 대덕구 중리동 101-1042-626-7728<NA><NA>공 공
4대전광역시대덕구안산도서관소극장13013000대전 대덕구 계족로663번길 25대전 대덕구 법동 284-2042-633-2798<NA><NA>공 공
5대전광역시대덕구신탄진도서관소극장26826080대전 대덕구 신탄진동로 64대전 대덕구 신탄진동 150-9042-620-6637<NA><NA>공 공
6대전광역시대덕구신탄진문화의집소극장808000대전 대덕구 신탄진로 830대전 대덕구 신탄진동 120-1042-608-5796<NA><NA>공 공
7대전광역시대덕구무형문화재전수회관소극장20019550대전 대덕구 동춘당로94번길 50대전 대덕구 송촌동 463042-625-8384<NA><NA>공 공
8대전광역시대덕구송촌문화의집소극장505000대전 대덕구 동춘당로94번길 11대전 대덕구 송촌동 460-6042-638-3344<NA><NA>공 공
9대전광역시대덕구대덕종합사회복지관소극장15615330대전 대덕구 덕암로234번길 44대전 대덕구 덕암동 48-2042-936-7344<NA><NA>민 간
시도시군구공연장명분류수용인원객석수장애인석구동기계소재지 도로명주소소재지 지번주소전화번호등록일등록여부비고
49대전광역시중구대전평생학습관일반600605825대전 중구 중교로 56대전 중구 대흥동 418-1042-220-05102002-12-30등록공 공
50대전광역시중구드림아트홀소극장10010000대전 중구 선화서로 2대전 중구 대흥동 502-150507-1306-90842011-07-05등록민 간
51대전광역시중구마당극장 관용소극장15015002대전 중구 중앙로112번길 15대전광역시 중구 대흥동 489-1042-934-93942017-09-14등록민 간
52대전광역시중구상상아트홀소극장13013000대전 중구 대종로505번길 28대전 중구 선화동 351899-44292011-08-24등록민 간
53대전광역시중구소극장고도소극장5910100대전 중구 중앙로112번길 13대전 중구 대흥동 490042-226-38612012-01-04등록민 간
54대전광역시중구소극장마당소극장10010000대전 중구 대종로 456 성우빌딩대전광역시 중구 대흥동 159-3042-253-83002020-08-26등록민 간/개인정보
55대전광역시중구아신극장1관소극장15215200대전 중구 대종로 458대전 중구 대흥동 159-11599-92102013-08-28등록민 간
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