Overview

Dataset statistics

Number of variables12
Number of observations28
Missing cells13
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory102.6 B

Variable types

Text7
Categorical2
Numeric2
DateTime1

Dataset

Description김해시 문화공간 개방시설 현황(시설명, 시설구분, 운영구분, 휴관정보, 운영기관명 등)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15092469/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
홈페이지 has 3 (10.7%) missing valuesMissing
휴관정보 has 9 (32.1%) missing valuesMissing
운영기관명 has 1 (3.6%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:31:39.583536
Analysis finished2024-03-14 14:31:42.092367
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T23:31:42.715629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length8.5
Min length5

Characters and Unicode

Total characters238
Distinct characters90
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row김해시수도박물관
2nd row대성동고분박물관
3rd row김해목재문화박물관
4th row김해 화포천습지 생태박물관
5th row김해분청도자박물관
ValueCountFrequency (%)
김해문화의전당 3
 
7.7%
김해시수도박물관 1
 
2.6%
소극장 1
 
2.6%
가야테마파크 1
 
2.6%
철광산공연장 1
 
2.6%
김해서부문화센터 1
 
2.6%
하늬홀 1
 
2.6%
봉황예술극장 1
 
2.6%
회현동 1
 
2.6%
남명아트홀 1
 
2.6%
Other values (27) 27
69.2%
2024-03-14T23:31:43.648290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
6.3%
15
 
6.3%
13
 
5.5%
12
 
5.0%
11
 
4.6%
11
 
4.6%
9
 
3.8%
9
 
3.8%
8
 
3.4%
7
 
2.9%
Other values (80) 128
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 227
95.4%
Space Separator 11
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
6.6%
15
 
6.6%
13
 
5.7%
12
 
5.3%
11
 
4.8%
9
 
4.0%
9
 
4.0%
8
 
3.5%
7
 
3.1%
6
 
2.6%
Other values (79) 122
53.7%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
95.4%
Common 11
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
6.6%
15
 
6.6%
13
 
5.7%
12
 
5.3%
11
 
4.8%
9
 
4.0%
9
 
4.0%
8
 
3.5%
7
 
3.1%
6
 
2.6%
Other values (79) 122
53.7%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 227
95.4%
ASCII 11
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
6.6%
15
 
6.6%
13
 
5.7%
12
 
5.3%
11
 
4.8%
9
 
4.0%
9
 
4.0%
8
 
3.5%
7
 
3.1%
6
 
2.6%
Other values (79) 122
53.7%
ASCII
ValueCountFrequency (%)
11
100.0%

시설구분
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
공연장
13 
박물관
문화의집
미술관
 
1
청소년수련시설
 
1

Length

Max length7
Median length3
Mean length3.2857143
Min length3

Unique

Unique2 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 13
46.4%
박물관 9
32.1%
문화의집 4
 
14.3%
미술관 1
 
3.6%
청소년수련시설 1
 
3.6%

Length

2024-03-14T23:31:43.890944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:31:44.095298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 13
46.4%
박물관 9
32.1%
문화의집 4
 
14.3%
미술관 1
 
3.6%
청소년수련시설 1
 
3.6%

운영구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
공공
24 
민간

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공 24
85.7%
민간 4
 
14.3%

Length

2024-03-14T23:31:44.293510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:31:44.458591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 24
85.7%
민간 4
 
14.3%
Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T23:31:45.236188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.464286
Min length15

Characters and Unicode

Total characters629
Distinct characters70
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 한림면 김해대로 1347
2nd row경상남도 김해시 가야의길 126
3rd row경상남도 김해시 관동로27번길 5-49(관동동)
4th row경상남도 김해시 한림면 한림로 183-300
5th row경상남도 김해시 진례면 진례로 275-35
ValueCountFrequency (%)
경상남도 28
22.0%
김해시 28
22.0%
김해대로 7
 
5.5%
진영읍 3
 
2.4%
한림면 3
 
2.4%
분성로 3
 
2.4%
176번길 2
 
1.6%
가야의길 2
 
1.6%
관동로27번길 1
 
0.8%
440 1
 
0.8%
Other values (49) 49
38.6%
2024-03-14T23:31:46.221534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
15.7%
37
 
5.9%
37
 
5.9%
29
 
4.6%
29
 
4.6%
28
 
4.5%
28
 
4.5%
28
 
4.5%
25
 
4.0%
2 24
 
3.8%
Other values (60) 265
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
60.7%
Decimal Number 113
 
18.0%
Space Separator 99
 
15.7%
Open Punctuation 14
 
2.2%
Close Punctuation 13
 
2.1%
Dash Punctuation 6
 
1.0%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
9.7%
37
 
9.7%
29
 
7.6%
29
 
7.6%
28
 
7.3%
28
 
7.3%
28
 
7.3%
25
 
6.5%
17
 
4.5%
11
 
2.9%
Other values (44) 113
29.6%
Decimal Number
ValueCountFrequency (%)
2 24
21.2%
1 22
19.5%
0 13
11.5%
5 12
10.6%
6 10
8.8%
4 10
8.8%
7 8
 
7.1%
3 7
 
6.2%
9 4
 
3.5%
8 3
 
2.7%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
60.7%
Common 246
39.1%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
9.7%
37
 
9.7%
29
 
7.6%
29
 
7.6%
28
 
7.3%
28
 
7.3%
28
 
7.3%
25
 
6.5%
17
 
4.5%
11
 
2.9%
Other values (44) 113
29.6%
Common
ValueCountFrequency (%)
99
40.2%
2 24
 
9.8%
1 22
 
8.9%
( 14
 
5.7%
) 13
 
5.3%
0 13
 
5.3%
5 12
 
4.9%
6 10
 
4.1%
4 10
 
4.1%
7 8
 
3.3%
Other values (5) 21
 
8.5%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
60.7%
ASCII 247
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
40.1%
2 24
 
9.7%
1 22
 
8.9%
( 14
 
5.7%
) 13
 
5.3%
0 13
 
5.3%
5 12
 
4.9%
6 10
 
4.0%
4 10
 
4.0%
7 8
 
3.2%
Other values (6) 22
 
8.9%
Hangul
ValueCountFrequency (%)
37
 
9.7%
37
 
9.7%
29
 
7.6%
29
 
7.6%
28
 
7.3%
28
 
7.3%
28
 
7.3%
25
 
6.5%
17
 
4.5%
11
 
2.9%
Other values (44) 113
29.6%
Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T23:31:46.929482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22.5
Mean length18.571429
Min length16

Characters and Unicode

Total characters520
Distinct characters61
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

Unique25 ?
Unique (%)89.3%

Sample

1st row경상남도 김해시 한림면 명동리 736-1
2nd row경상남도 김해시 대성동 434
3rd row경상남도 김해시 관동동 298
4th row경상남도 김해시 한림면 퇴래리 316-348
5th row경상남도 김해시 진례면 송정리 360
ValueCountFrequency (%)
경상남도 28
23.3%
김해시 28
23.3%
내동 5
 
4.2%
1131 4
 
3.3%
진영읍 3
 
2.5%
봉황동 3
 
2.5%
한림면 3
 
2.5%
퇴래리 2
 
1.7%
여래리 2
 
1.7%
외동 2
 
1.7%
Other values (40) 40
33.3%
2024-03-14T23:31:47.889163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
17.7%
1 30
 
5.8%
29
 
5.6%
29
 
5.6%
29
 
5.6%
28
 
5.4%
28
 
5.4%
28
 
5.4%
28
 
5.4%
24
 
4.6%
Other values (51) 175
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
58.1%
Decimal Number 112
 
21.5%
Space Separator 92
 
17.7%
Dash Punctuation 14
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
9.6%
29
9.6%
29
9.6%
28
9.3%
28
9.3%
28
9.3%
28
9.3%
24
 
7.9%
7
 
2.3%
5
 
1.7%
Other values (39) 67
22.2%
Decimal Number
ValueCountFrequency (%)
1 30
26.8%
3 16
14.3%
4 12
 
10.7%
9 11
 
9.8%
2 9
 
8.0%
7 9
 
8.0%
6 9
 
8.0%
0 6
 
5.4%
8 6
 
5.4%
5 4
 
3.6%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
58.1%
Common 218
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
9.6%
29
9.6%
29
9.6%
28
9.3%
28
9.3%
28
9.3%
28
9.3%
24
 
7.9%
7
 
2.3%
5
 
1.7%
Other values (39) 67
22.2%
Common
ValueCountFrequency (%)
92
42.2%
1 30
 
13.8%
3 16
 
7.3%
- 14
 
6.4%
4 12
 
5.5%
9 11
 
5.0%
2 9
 
4.1%
7 9
 
4.1%
6 9
 
4.1%
0 6
 
2.8%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
58.1%
ASCII 218
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
42.2%
1 30
 
13.8%
3 16
 
7.3%
- 14
 
6.4%
4 12
 
5.5%
9 11
 
5.0%
2 9
 
4.1%
7 9
 
4.1%
6 9
 
4.1%
0 6
 
2.8%
Other values (2) 10
 
4.6%
Hangul
ValueCountFrequency (%)
29
9.6%
29
9.6%
29
9.6%
28
9.3%
28
9.3%
28
9.3%
28
9.3%
24
 
7.9%
7
 
2.3%
5
 
1.7%
Other values (39) 67
22.2%

위도
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.243367
Minimum35.170683
Maximum35.310767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-14T23:31:48.259527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.170683
5-th percentile35.175151
Q135.231567
median35.239919
Q335.250805
95-th percentile35.304388
Maximum35.310767
Range0.14008415
Interquartile range (IQR)0.019237932

Descriptive statistics

Standard deviation0.037556641
Coefficient of variation (CV)0.0010656371
Kurtosis0.065826632
Mean35.243367
Median Absolute Deviation (MAD)0.009608645
Skewness0.024798802
Sum986.81429
Variance0.0014105013
MonotonicityNot monotonic
2024-03-14T23:31:48.649709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
35.24366886 4
 
14.3%
35.28405213 1
 
3.6%
35.17262569 1
 
3.6%
35.2313328 1
 
3.6%
35.242335 1
 
3.6%
35.2356843 1
 
3.6%
35.30438923 1
 
3.6%
35.23750399 1
 
3.6%
35.22882278 1
 
3.6%
35.23653738 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
35.17068259 1
3.6%
35.17262569 1
3.6%
35.17984196 1
3.6%
35.19166838 1
3.6%
35.22734509 1
3.6%
35.22882278 1
3.6%
35.2313328 1
3.6%
35.23164457 1
3.6%
35.23276371 1
3.6%
35.23526216 1
3.6%
ValueCountFrequency (%)
35.31076674 1
 
3.6%
35.30438923 1
 
3.6%
35.3043849 1
 
3.6%
35.30348788 1
 
3.6%
35.2943855 1
 
3.6%
35.28405213 1
 
3.6%
35.25156797 1
 
3.6%
35.25055009 1
 
3.6%
35.24455481 1
 
3.6%
35.24366886 4
14.3%

경도
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.84123
Minimum128.72835
Maximum128.9178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-03-14T23:31:49.034638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72835
5-th percentile128.73452
Q1128.80541
median128.86992
Q3128.87548
95-th percentile128.90417
Maximum128.9178
Range0.1894531
Interquartile range (IQR)0.0700721

Descriptive statistics

Standard deviation0.055205228
Coefficient of variation (CV)0.00042847486
Kurtosis-0.36557567
Mean128.84123
Median Absolute Deviation (MAD)0.0214569
Skewness-0.85449859
Sum3607.5545
Variance0.0030476172
MonotonicityNot monotonic
2024-03-14T23:31:49.461952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
128.8699177 4
 
14.3%
128.8231958 1
 
3.6%
128.8208426 1
 
3.6%
128.8704559 1
 
3.6%
128.878404 1
 
3.6%
128.9178049 1
 
3.6%
128.7331673 1
 
3.6%
128.857927 1
 
3.6%
128.8867868 1
 
3.6%
128.8898171 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
128.7283518 1
3.6%
128.7331673 1
3.6%
128.7370189 1
3.6%
128.7458995 1
3.6%
128.7885577 1
3.6%
128.794591 1
3.6%
128.7985322 1
3.6%
128.8076987 1
3.6%
128.8208426 1
3.6%
128.8225075 1
3.6%
ValueCountFrequency (%)
128.9178049 1
3.6%
128.910222 1
3.6%
128.8929321 1
3.6%
128.8898171 1
3.6%
128.8867868 1
3.6%
128.878404 1
3.6%
128.8758304 1
3.6%
128.8753621 1
3.6%
128.8744043 1
3.6%
128.8737645 1
3.6%
Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-14T23:31:50.225683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique25 ?
Unique (%)89.3%

Sample

1st row055-330-6710
2nd row055-330-6881
3rd row055-324-6006
4th row055-330-9898
5th row055-345-6037
ValueCountFrequency (%)
055-320-1292 3
 
10.7%
055-330-6710 1
 
3.6%
055-340-7951 1
 
3.6%
055-330-4634 1
 
3.6%
055-330-3225 1
 
3.6%
055-330-3226 1
 
3.6%
055-338-4578 1
 
3.6%
055-337-8666 1
 
3.6%
055-338-5569 1
 
3.6%
055-327-8811 1
 
3.6%
Other values (16) 16
57.1%
2024-03-14T23:31:51.222108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
19.0%
- 56
16.7%
0 53
15.8%
3 48
14.3%
2 22
 
6.5%
8 19
 
5.7%
6 18
 
5.4%
4 18
 
5.4%
1 16
 
4.8%
9 14
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
22.9%
0 53
18.9%
3 48
17.1%
2 22
 
7.9%
8 19
 
6.8%
6 18
 
6.4%
4 18
 
6.4%
1 16
 
5.7%
9 14
 
5.0%
7 8
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
19.0%
- 56
16.7%
0 53
15.8%
3 48
14.3%
2 22
 
6.5%
8 19
 
5.7%
6 18
 
5.4%
4 18
 
5.4%
1 16
 
4.8%
9 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
19.0%
- 56
16.7%
0 53
15.8%
3 48
14.3%
2 22
 
6.5%
8 19
 
5.7%
6 18
 
5.4%
4 18
 
5.4%
1 16
 
4.8%
9 14
 
4.2%

홈페이지
Text

MISSING 

Distinct22
Distinct (%)88.0%
Missing3
Missing (%)10.7%
Memory size352.0 B
2024-03-14T23:31:52.012359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length42
Mean length36.96
Min length22

Characters and Unicode

Total characters924
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st rowhttps://www.gimhae.go.kr/water.web
2nd rowhttp://ds.gimhae.go.kr/main
3rd rowhttps://www.gimhae.go.kr/wood.web
4th rowhttp://hwapo.gimhae.go.kr/main/
5th rowhttp://doja.gimhae.go.kr/main/
ValueCountFrequency (%)
https://www.gasc.or.kr 4
 
16.0%
https://lib.gimhae.go.kr/jangyu.web 1
 
4.0%
https://www.gimhae.go.kr/water.web 1
 
4.0%
https://lib.gimhae.go.kr/00715/00801.web 1
 
4.0%
https://www.gimhae.go.kr/00976/01420/01421.web 1
 
4.0%
https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=446 1
 
4.0%
https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=445 1
 
4.0%
https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=425 1
 
4.0%
https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=426 1
 
4.0%
http://www.nmarthall.co.kr 1
 
4.0%
Other values (12) 12
48.0%
2024-03-14T23:31:53.253031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 88
 
9.5%
. 84
 
9.1%
w 66
 
7.1%
t 58
 
6.3%
h 46
 
5.0%
a 43
 
4.7%
o 42
 
4.5%
e 41
 
4.4%
0 38
 
4.1%
g 37
 
4.0%
Other values (31) 381
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 606
65.6%
Other Punctuation 210
 
22.7%
Decimal Number 97
 
10.5%
Math Symbol 9
 
1.0%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 66
 
10.9%
t 58
 
9.6%
h 46
 
7.6%
a 43
 
7.1%
o 42
 
6.9%
e 41
 
6.8%
g 37
 
6.1%
i 37
 
6.1%
r 34
 
5.6%
m 33
 
5.4%
Other values (14) 169
27.9%
Decimal Number
ValueCountFrequency (%)
0 38
39.2%
2 24
24.7%
4 12
 
12.4%
7 6
 
6.2%
1 5
 
5.2%
3 4
 
4.1%
5 3
 
3.1%
6 3
 
3.1%
9 1
 
1.0%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 88
41.9%
. 84
40.0%
: 25
 
11.9%
& 8
 
3.8%
? 5
 
2.4%
Math Symbol
ValueCountFrequency (%)
= 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 606
65.6%
Common 318
34.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 66
 
10.9%
t 58
 
9.6%
h 46
 
7.6%
a 43
 
7.1%
o 42
 
6.9%
e 41
 
6.8%
g 37
 
6.1%
i 37
 
6.1%
r 34
 
5.6%
m 33
 
5.4%
Other values (14) 169
27.9%
Common
ValueCountFrequency (%)
/ 88
27.7%
. 84
26.4%
0 38
11.9%
: 25
 
7.9%
2 24
 
7.5%
4 12
 
3.8%
= 9
 
2.8%
& 8
 
2.5%
7 6
 
1.9%
1 5
 
1.6%
Other values (7) 19
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 88
 
9.5%
. 84
 
9.1%
w 66
 
7.1%
t 58
 
6.3%
h 46
 
5.0%
a 43
 
4.7%
o 42
 
4.5%
e 41
 
4.4%
0 38
 
4.1%
g 37
 
4.0%
Other values (31) 381
41.2%

휴관정보
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing9
Missing (%)32.1%
Memory size352.0 B
2024-03-14T23:31:53.910634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length23
Min length13

Characters and Unicode

Total characters437
Distinct characters43
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

Unique6 ?
Unique (%)31.6%

Sample

1st row매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설+추석
2nd row매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설
3rd row매주 월요일+1월2일+설+추석
4th row매주 월요일+1월1일+설+추석
5th row매주 월요일+1월1일+설+추석
ValueCountFrequency (%)
매주 16
20.3%
법정공휴일 8
10.1%
월요일은 6
 
7.6%
운영 6
 
7.6%
다음날 6
 
7.6%
월요일(공휴일인 5
 
6.3%
일요일 5
 
6.3%
월요일 4
 
5.1%
휴관)+1월1일+설+추석 4
 
5.1%
매월 3
 
3.8%
Other values (11) 16
20.3%
2024-03-14T23:31:54.660782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
13.7%
55
 
12.6%
33
 
7.6%
+ 30
 
6.9%
25
 
5.7%
21
 
4.8%
19
 
4.3%
1 19
 
4.3%
16
 
3.7%
14
 
3.2%
Other values (33) 145
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
69.1%
Space Separator 60
 
13.7%
Math Symbol 30
 
6.9%
Decimal Number 20
 
4.6%
Other Punctuation 13
 
3.0%
Close Punctuation 6
 
1.4%
Open Punctuation 6
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
55
18.2%
33
 
10.9%
25
 
8.3%
21
 
7.0%
19
 
6.3%
16
 
5.3%
14
 
4.6%
9
 
3.0%
8
 
2.6%
8
 
2.6%
Other values (26) 94
31.1%
Decimal Number
ValueCountFrequency (%)
1 19
95.0%
2 1
 
5.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Math Symbol
ValueCountFrequency (%)
+ 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
69.1%
Common 135
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
55
18.2%
33
 
10.9%
25
 
8.3%
21
 
7.0%
19
 
6.3%
16
 
5.3%
14
 
4.6%
9
 
3.0%
8
 
2.6%
8
 
2.6%
Other values (26) 94
31.1%
Common
ValueCountFrequency (%)
60
44.4%
+ 30
22.2%
1 19
 
14.1%
, 13
 
9.6%
) 6
 
4.4%
( 6
 
4.4%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
69.1%
ASCII 135
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
44.4%
+ 30
22.2%
1 19
 
14.1%
, 13
 
9.6%
) 6
 
4.4%
( 6
 
4.4%
2 1
 
0.7%
Hangul
ValueCountFrequency (%)
55
18.2%
33
 
10.9%
25
 
8.3%
21
 
7.0%
19
 
6.3%
16
 
5.3%
14
 
4.6%
9
 
3.0%
8
 
2.6%
8
 
2.6%
Other values (26) 94
31.1%

운영기관명
Text

MISSING 

Distinct20
Distinct (%)74.1%
Missing1
Missing (%)3.6%
Memory size352.0 B
2024-03-14T23:31:55.302544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.7777778
Min length5

Characters and Unicode

Total characters237
Distinct characters69
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)66.7%

Sample

1st row김해시 수도박물관
2nd row대성동고분박물관
3rd row김해목재문화박물관
4th row김해 화포천습지 생태박물관
5th row김해분청도자박물관
ValueCountFrequency (%)
김해시 8
20.0%
김해문화재단 6
 
15.0%
인재육성사업소 3
 
7.5%
김해시청 2
 
5.0%
회현동소극장 1
 
2.5%
아동청소년과 1
 
2.5%
삼안동행정복지센터 1
 
2.5%
진영읍행정복지센터 1
 
2.5%
내외동행정복지센터 1
 
2.5%
부원동행정복지센터 1
 
2.5%
Other values (15) 15
37.5%
2024-03-14T23:31:56.394382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
9.3%
22
 
9.3%
13
 
5.5%
11
 
4.6%
10
 
4.2%
9
 
3.8%
8
 
3.4%
8
 
3.4%
8
 
3.4%
8
 
3.4%
Other values (59) 118
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
94.5%
Space Separator 13
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
9.8%
22
 
9.8%
11
 
4.9%
10
 
4.5%
9
 
4.0%
8
 
3.6%
8
 
3.6%
8
 
3.6%
8
 
3.6%
6
 
2.7%
Other values (58) 112
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 224
94.5%
Common 13
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
9.8%
22
 
9.8%
11
 
4.9%
10
 
4.5%
9
 
4.0%
8
 
3.6%
8
 
3.6%
8
 
3.6%
8
 
3.6%
6
 
2.7%
Other values (58) 112
50.0%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
94.5%
ASCII 13
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
9.8%
22
 
9.8%
11
 
4.9%
10
 
4.5%
9
 
4.0%
8
 
3.6%
8
 
3.6%
8
 
3.6%
8
 
3.6%
6
 
2.7%
Other values (58) 112
50.0%
ASCII
ValueCountFrequency (%)
13
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum2023-12-22 00:00:00
Maximum2023-12-22 00:00:00
2024-03-14T23:31:56.736306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:31:57.029302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T23:31:40.908075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:31:40.382953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:31:41.178553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:31:40.637709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:31:57.253228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설구분운영구분소재지도로명주소소재지지번주소위도경도연락처홈페이지휴관정보운영기관명
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설구분1.0001.0000.0001.0001.0000.0000.0001.0000.0001.0000.810
운영구분1.0000.0001.0001.0001.0000.1850.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.0000.1851.0001.0001.0000.7881.0001.0000.5880.627
경도1.0000.0000.0001.0001.0000.7881.0001.0001.0000.0000.845
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
휴관정보1.0001.0001.0001.0001.0000.5880.0001.0001.0001.0000.938
운영기관명1.0000.8101.0001.0001.0000.6270.8451.0001.0000.9381.000
2024-03-14T23:31:57.770042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영구분시설구분
운영구분1.0000.000
시설구분0.0001.000
2024-03-14T23:31:57.998878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시설구분운영구분
위도1.000-0.3530.0000.090
경도-0.3531.0000.0000.000
시설구분0.0000.0001.0000.000
운영구분0.0900.0000.0001.000

Missing values

2024-03-14T23:31:41.503777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:31:41.794208image/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.
2024-03-14T23:31:41.994015image/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

시설명시설구분운영구분소재지도로명주소소재지지번주소위도경도연락처홈페이지휴관정보운영기관명데이터기준일자
0김해시수도박물관박물관공공경상남도 김해시 한림면 김해대로 1347경상남도 김해시 한림면 명동리 736-135.284052128.823196055-330-6710https://www.gimhae.go.kr/water.web매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설+추석김해시 수도박물관2023-12-22
1대성동고분박물관박물관공공경상남도 김해시 가야의길 126경상남도 김해시 대성동 43435.23742128.873764055-330-6881http://ds.gimhae.go.kr/main매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설대성동고분박물관2023-12-22
2김해목재문화박물관박물관공공경상남도 김해시 관동로27번길 5-49(관동동)경상남도 김해시 관동동 29835.179842128.807699055-324-6006https://www.gimhae.go.kr/wood.web매주 월요일+1월2일+설+추석김해목재문화박물관2023-12-22
3김해 화포천습지 생태박물관박물관공공경상남도 김해시 한림면 한림로 183-300경상남도 김해시 한림면 퇴래리 316-34835.310767128.788558055-330-9898http://hwapo.gimhae.go.kr/main/매주 월요일+1월1일+설+추석김해 화포천습지 생태박물관2023-12-22
4김해분청도자박물관박물관공공경상남도 김해시 진례면 진례로 275-35경상남도 김해시 진례면 송정리 36035.251568128.7459055-345-6037http://doja.gimhae.go.kr/main/매주 월요일+1월1일+설+추석김해분청도자박물관2023-12-22
5김해민속박물관박물관공공경상남도 김해시 분성로261번길 35 (봉황동)경상남도 김해시 봉황동 43135.235262128.87583055-328-2646http://www.ghfolkmuseum.or.kr/매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설+추석김해민속박물관2023-12-22
6김해한림박물관박물관민간경상남도 김해시 한림면 김해대로 1029-20경상남도 김해시 한림면 퇴래리 110735.294385128.794591055-345-1016http://traditional-art.co.kr/main/index.html매주 월요일+1월1일+명절 전날,당일+근로자의날+크리스마스김해한림박물관2023-12-22
7진영역철도박물관박물관공공경상남도 김해시 진영읍 진영로 145-1경상남도 김해시 진영읍 진영리 275-29635.303488128.728352055-344-0799https://jinyeongmuseum.modoo.at/매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설+추석진영역철도박물관2023-12-22
8클레이아크 김해미술관미술관공공경상남도 김해시 김해대로 2060 김해문화의전당경상남도 김해시 내동 1131 김해문화의전당35.243669128.869918055-320-1234https://www.gasc.or.kr/매주 월요일+1월1일+설+추석(공휴일인 월요일은 운영, 다음날 휴관)김해문화재단2023-12-22
9김해문화원공연장공공경상남도 김해시 분성로 225(외동)경상남도 김해시 외동 1261-435.231645128.870717055-326-2646http://www.khcc.or.kr/<NA>김해문화원2023-12-22
시설명시설구분운영구분소재지도로명주소소재지지번주소위도경도연락처홈페이지휴관정보운영기관명데이터기준일자
18봉황예술극장공연장공공경상남도 김해시 가야의길 16(봉황동)경상남도 김해시 봉황동 11435.227345128.875362055-339-8889<NA><NA>김해시청 도시디자인과2023-12-22
19회현동 소극장공연장민간경상남도 김해시 분성로 259, 4층(봉황동)경상남도 김해시 봉황동 461-335.232764128.874404055-339-9110<NA><NA>회현동소극장2023-12-22
20남명아트홀공연장민간경상남도 김해시 율하4로 남명N스퀘어 9층(장유동경상남도 김해시 장유동 839-535.170683128.822508055-327-8811http://www.nmarthall.co.kr<NA>남명아트홀2023-12-22
21예술공간 예닮공연장민간경상남도 김해시 가야로 515번길 4(동상동)경상남도 김해시 동상동 497-1335.236537128.889817055-338-5569<NA><NA>예술공간 예닮2023-12-22
22김해문화의집문화의집공공경상남도 김해시 김해대로2371번길 24-18경상남도 김해시 부원동 619-1935.228823128.886787055-337-8666https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=426&매주 일요일, 법정공휴일김해시 부원동행정복지센터2023-12-22
23내외문화의집문화의집공공경상남도 김해시 금관대로 1255경상남도 김해시 내동 201-435.237504128.857927055-338-4578https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=425&매주 일요일, 법정공휴일김해시 내외동행정복지센터2023-12-22
24진영문화의집문화의집공공경상남도 김해시 진영읍 여래로20번길 11경상남도 김해시 진영읍 여래리 700-8435.304389128.733167055-330-3226https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=445&매주 일요일, 법정공휴일김해시 진영읍행정복지센터2023-12-22
25안동문화의집문화의집공공경상남도 김해시 삼안로 72경상남도 김해시 안동 747-835.235684128.917805055-330-3225https://www.gimhae.go.kr/00224/00227/00230.web?amode=view&idx=446&매주 일요일, 법정공휴일김해시 삼안동행정복지센터2023-12-22
26김해청소년문화의집청소년수련시설공공경상남도 김해시 가락로 176번길 3경상남도 김해시 구산동 93-4번지35.242335128.878404055-330-4634https://www.gimhae.go.kr/00976/01420/01421.web매주 월요일, 법정공휴일김해시청 아동청소년과2023-12-22
27김해한글박물관박물관공공경상남도 김해시 분성로 221경상남도 김해시 외동 1261-535.231333128.870456080-380-1009https://gimhaehangeul.modoo.at/매주 월요일(공휴일인 월요일은 운영, 다음날 휴관)+1월1일+설+추석<NA>2023-12-22