Overview

Dataset statistics

Number of variables13
Number of observations129
Missing cells169
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory107.0 B

Variable types

Numeric2
Categorical9
Text2

Dataset

Description충청남도 보령시의 각 읍, 면, 동 주민자치센터에서 운영하는 프로그램 현황(프로그램명, 정원, 운영요일, 운영시작시간, 운영종료시각, 수강료, 운영장소, 운영장소 주소)데이터를 제공합니다. 자세한 사항은 각 읍면동 누리집의 주민자치센터 프로그램안내에서 확인하실 수 있습니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15103991/fileData.do

Alerts

데이터기준일 has constant value ""Constant
문의전화 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
운영장소 주소 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
읍면동 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
운영장소 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 읍면동 and 4 other fieldsHigh correlation
운영시작시각 is highly overall correlated with 운영종료시각High correlation
운영종료시각 is highly overall correlated with 운영시작시각High correlation
수강료 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
정원 has 43 (33.3%) missing valuesMissing
비고 has 126 (97.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:18:38.994539
Analysis finished2024-03-14 16:18:42.965297
Duration3.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.232558
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T01:18:43.195349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile123.6
Maximum130
Range129
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.694602
Coefficient of variation (CV)0.57784951
Kurtosis-1.1954236
Mean65.232558
Median Absolute Deviation (MAD)32
Skewness0.015536361
Sum8415
Variance1420.883
MonotonicityStrictly increasing
2024-03-15T01:18:43.657995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%

읍면동
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대천1동
12 
천북면
11 
대천4동
11 
웅천읍
10 
주교면
9 
Other values (11)
76 

Length

Max length4
Median length3
Mean length3.3255814
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대천1동 12
 
9.3%
천북면 11
 
8.5%
대천4동 11
 
8.5%
웅천읍 10
 
7.8%
주교면 9
 
7.0%
청소면 9
 
7.0%
미산면 9
 
7.0%
성주면 8
 
6.2%
대천3동 8
 
6.2%
청라면 7
 
5.4%
Other values (6) 35
27.1%

Length

2024-03-15T01:18:44.080843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대천1동 12
 
9.3%
천북면 11
 
8.5%
대천4동 11
 
8.5%
웅천읍 10
 
7.8%
주교면 9
 
7.0%
청소면 9
 
7.0%
미산면 9
 
7.0%
성주면 8
 
6.2%
대천3동 8
 
6.2%
청라면 7
 
5.4%
Other values (6) 35
27.1%

프로그램명
Text

Distinct82
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T01:18:45.182907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.1937984
Min length2

Characters and Unicode

Total characters541
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)48.8%

Sample

1st row시니어로빅
2nd row노래교실
3rd row댄스스포츠
4th row풍물교실
5th row수묵화교실
ValueCountFrequency (%)
노래교실 10
 
7.4%
풍물교실 6
 
4.4%
풍물 6
 
4.4%
요가 5
 
3.7%
색소폰 4
 
3.0%
라인댄스 4
 
3.0%
난타 4
 
3.0%
요가교실 4
 
3.0%
통기타 3
 
2.2%
우드버닝 3
 
2.2%
Other values (74) 86
63.7%
2024-03-15T01:18:46.478268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 47
 
8.7%
실 46
 
8.5%
타 20
 
3.7%
스 18
 
3.3%
구 17
 
3.1%
가 16
 
3.0%
요 16
 
3.0%
풍 14
 
2.6%
물 14
 
2.6%
기 13
 
2.4%
Other values (109) 320
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
93.7%
Open Punctuation 10
 
1.8%
Close Punctuation 10
 
1.8%
Space Separator 6
 
1.1%
Uppercase Letter 6
 
1.1%
Letter Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 47
 
9.3%
실 46
 
9.1%
타 20
 
3.9%
스 18
 
3.6%
구 17
 
3.4%
가 16
 
3.2%
요 16
 
3.2%
풍 14
 
2.8%
물 14
 
2.8%
기 13
 
2.6%
Other values (102) 286
56.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
B 3
50.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
93.7%
Common 26
 
4.8%
Latin 8
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 47
 
9.3%
실 46
 
9.1%
타 20
 
3.9%
스 18
 
3.6%
구 17
 
3.4%
가 16
 
3.2%
요 16
 
3.2%
풍 14
 
2.8%
물 14
 
2.8%
기 13
 
2.6%
Other values (102) 286
56.4%
Latin
ValueCountFrequency (%)
A 3
37.5%
B 3
37.5%
Ⅰ 1
 
12.5%
Ⅱ 1
 
12.5%
Common
ValueCountFrequency (%)
( 10
38.5%
) 10
38.5%
6
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
93.7%
ASCII 32
 
5.9%
Number Forms 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 47
 
9.3%
실 46
 
9.1%
타 20
 
3.9%
스 18
 
3.6%
구 17
 
3.4%
가 16
 
3.2%
요 16
 
3.2%
풍 14
 
2.8%
물 14
 
2.8%
기 13
 
2.6%
Other values (102) 286
56.4%
ASCII
ValueCountFrequency (%)
( 10
31.2%
) 10
31.2%
6
18.8%
A 3
 
9.4%
B 3
 
9.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

정원
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)8.1%
Missing43
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean16.872093
Minimum10
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T01:18:46.832683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q115
median15
Q320
95-th percentile23.75
Maximum40
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7596256
Coefficient of variation (CV)0.28210048
Kurtosis5.7116657
Mean16.872093
Median Absolute Deviation (MAD)5
Skewness1.4566721
Sum1451
Variance22.654036
MonotonicityNot monotonic
2024-03-15T01:18:47.211479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 36
27.9%
20 31
24.0%
10 11
 
8.5%
12 3
 
2.3%
25 3
 
2.3%
40 1
 
0.8%
30 1
 
0.8%
(Missing) 43
33.3%
ValueCountFrequency (%)
10 11
 
8.5%
12 3
 
2.3%
15 36
27.9%
20 31
24.0%
25 3
 
2.3%
30 1
 
0.8%
40 1
 
0.8%
ValueCountFrequency (%)
40 1
 
0.8%
30 1
 
0.8%
25 3
 
2.3%
20 31
24.0%
15 36
27.9%
12 3
 
2.3%
10 11
 
8.5%

운영요일
Categorical

Distinct19
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
금
20 
<NA>
20 
월
19 
화
16 
수
14 
Other values (14)
40 

Length

Max length4
Median length1
Mean length1.8372093
Min length1

Unique

Unique8 ?
Unique (%)6.2%

Sample

1st row월
2nd row월
3rd row화
4th row화
5th row수

Common Values

ValueCountFrequency (%)
금 20
15.5%
<NA> 20
15.5%
월 19
14.7%
화 16
12.4%
수 14
10.9%
목 14
10.9%
화+목 8
 
6.2%
월+수 3
 
2.3%
월+목 3
 
2.3%
토 2
 
1.6%
Other values (9) 10
7.8%

Length

2024-03-15T01:18:47.490946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금 20
15.5%
na 20
15.5%
월 19
14.7%
화 16
12.4%
수 14
10.9%
목 14
10.9%
화+목 8
 
6.2%
월+수 3
 
2.3%
월+목 3
 
2.3%
화+수 2
 
1.6%
Other values (9) 10
7.8%

운영시작시각
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
19:00:00
39 
10:00:00
21 
14:00:00
13 
18:30:00
12 
<NA>
11 
Other values (14)
33 

Length

Max length8
Median length8
Mean length7.6589147
Min length4

Unique

Unique7 ?
Unique (%)5.4%

Sample

1st row10:00:00
2nd row19:30:00
3rd row20:00:00
4th row19:00:00
5th row10:00:00

Common Values

ValueCountFrequency (%)
19:00:00 39
30.2%
10:00:00 21
16.3%
14:00:00 13
 
10.1%
18:30:00 12
 
9.3%
<NA> 11
 
8.5%
13:30:00 6
 
4.7%
19:30:00 6
 
4.7%
15:30:00 4
 
3.1%
20:00:00 3
 
2.3%
13:00:00 3
 
2.3%
Other values (9) 11
 
8.5%

Length

2024-03-15T01:18:47.801165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
19:00:00 39
30.2%
10:00:00 21
16.3%
14:00:00 13
 
10.1%
18:30:00 12
 
9.3%
na 11
 
8.5%
13:30:00 6
 
4.7%
19:30:00 6
 
4.7%
15:30:00 4
 
3.1%
13:00:00 3
 
2.3%
20:00:00 3
 
2.3%
Other values (9) 11
 
8.5%

운영종료시각
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
21:00:00
36 
12:00:00
20 
20:30:00
13 
<NA>
11 
16:00:00
11 
Other values (13)
38 

Length

Max length8
Median length8
Mean length7.6589147
Min length4

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row12:00:00
2nd row21:30:00
3rd row22:00:00
4th row21:00:00
5th row12:00:00

Common Values

ValueCountFrequency (%)
21:00:00 36
27.9%
12:00:00 20
15.5%
20:30:00 13
 
10.1%
<NA> 11
 
8.5%
16:00:00 11
 
8.5%
15:00:00 7
 
5.4%
22:00:00 6
 
4.7%
15:30:00 6
 
4.7%
20:00:00 4
 
3.1%
11:00:00 3
 
2.3%
Other values (8) 12
 
9.3%

Length

2024-03-15T01:18:48.194893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
21:00:00 36
27.9%
12:00:00 20
15.5%
20:30:00 13
 
10.1%
na 11
 
8.5%
16:00:00 11
 
8.5%
15:00:00 7
 
5.4%
22:00:00 6
 
4.7%
15:30:00 6
 
4.7%
20:00:00 4
 
3.1%
11:00:00 3
 
2.3%
Other values (8) 12
 
9.3%

수강료
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
10000
62 
<NA>
20 
30000
15 
무료
14 
20000
11 

Length

Max length5
Median length5
Mean length4.4651163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30000
2nd row30000
3rd row30000
4th row무료
5th row30000

Common Values

ValueCountFrequency (%)
10000 62
48.1%
<NA> 20
 
15.5%
30000 15
 
11.6%
무료 14
 
10.9%
20000 11
 
8.5%
5000 7
 
5.4%

Length

2024-03-15T01:18:48.623312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:18:48.978012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000 62
48.1%
na 20
 
15.5%
30000 15
 
11.6%
무료 14
 
10.9%
20000 11
 
8.5%
5000 7
 
5.4%

운영장소
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
다목적실
12 
천북면 주민자치센터
11 
웅천읍 주민자치센터
10 
주교면 주민자치센터
9 
미산면 주민자치센터
9 
Other values (22)
78 

Length

Max length15
Median length13
Mean length9.0852713
Min length3

Unique

Unique7 ?
Unique (%)5.4%

Sample

1st row웅천읍 주민자치센터
2nd row웅천읍 주민자치센터
3rd row웅천읍 주민자치센터
4th row웅천읍 주민자치센터
5th row웅천읍 주민자치센터

Common Values

ValueCountFrequency (%)
다목적실 12
 
9.3%
천북면 주민자치센터 11
 
8.5%
웅천읍 주민자치센터 10
 
7.8%
주교면 주민자치센터 9
 
7.0%
미산면 주민자치센터 9
 
7.0%
성주면 주민자치센터 8
 
6.2%
주산면 주민자치센터 7
 
5.4%
대천5동 주민자치센터 6
 
4.7%
주민자치센터2층 6
 
4.7%
2층 문화강좌5실 6
 
4.7%
Other values (17) 45
34.9%

Length

2024-03-15T01:18:49.460348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민자치센터 81
34.0%
다목적실 16
 
6.7%
2층 13
 
5.5%
천북면 11
 
4.6%
웅천읍 10
 
4.2%
주교면 9
 
3.8%
미산면 9
 
3.8%
성주면 8
 
3.4%
주산면 7
 
2.9%
대천5동 6
 
2.5%
Other values (24) 68
28.6%

운영장소 주소
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
충청남도 보령시 천북면 홍보로 462
11 
충청남도 보령시 명천로 70
11 
충청남도 보령시 웅천읍 장터중앙길 88
10 
충청남도 보령시 청소면 청소큰길 167
9 
충청남도 보령시 미산면 내평봉성길7 농업인회관
9 
Other values (16)
79 

Length

Max length31
Median length24
Mean length20.232558
Min length4

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st row충청남도 보령시 웅천읍 장터중앙길 88
2nd row충청남도 보령시 웅천읍 장터중앙길 88
3rd row충청남도 보령시 웅천읍 장터중앙길 88
4th row충청남도 보령시 웅천읍 장터중앙길 88
5th row충청남도 보령시 웅천읍 장터중앙길 88

Common Values

ValueCountFrequency (%)
충청남도 보령시 천북면 홍보로 462 11
 
8.5%
충청남도 보령시 명천로 70 11
 
8.5%
충청남도 보령시 웅천읍 장터중앙길 88 10
 
7.8%
충청남도 보령시 청소면 청소큰길 167 9
 
7.0%
충청남도 보령시 미산면 내평봉성길7 농업인회관 9
 
7.0%
충청남도 보령시 주교면 울계큰길 396 9
 
7.0%
충청남도 보령시 성주면 화장골길 110-15 8
 
6.2%
충청남도 보령시 대청로 167 8
 
6.2%
충청남도 보령시 남포면 충서로 1839-19 7
 
5.4%
충청남도 보령시 주산면 충서로 389-6 7
 
5.4%
Other values (11) 40
31.0%

Length

2024-03-15T01:18:49.875254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 128
21.0%
보령시 128
21.0%
167 17
 
2.8%
충서로 14
 
2.3%
천북면 11
 
1.8%
462 11
 
1.8%
명천로 11
 
1.8%
70 11
 
1.8%
홍보로 11
 
1.8%
웅천읍 10
 
1.6%
Other values (42) 258
42.3%

문의전화
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
041-930-4866
12 
041-930-4655
11 
041-930-3690
11 
041-930-4514
10 
041-930-4581
9 
Other values (11)
76 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-930-4514
2nd row041-930-4514
3rd row041-930-4514
4th row041-930-4514
5th row041-930-4514

Common Values

ValueCountFrequency (%)
041-930-4866 12
 
9.3%
041-930-4655 11
 
8.5%
041-930-3690 11
 
8.5%
041-930-4514 10
 
7.8%
041-930-4581 9
 
7.0%
041-930-4683 9
 
7.0%
041-933-4301 9
 
7.0%
041-933-5301 8
 
6.2%
041-930-4926 8
 
6.2%
041-930-4712 7
 
5.4%
Other values (6) 35
27.1%

Length

2024-03-15T01:18:50.260361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-930-4866 12
 
9.3%
041-930-4655 11
 
8.5%
041-930-3690 11
 
8.5%
041-930-4514 10
 
7.8%
041-930-4581 9
 
7.0%
041-930-4683 9
 
7.0%
041-933-4301 9
 
7.0%
041-933-5301 8
 
6.2%
041-930-4926 8
 
6.2%
041-930-4712 7
 
5.4%
Other values (6) 35
27.1%

비고
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing126
Missing (%)97.7%
Memory size1.1 KiB
2024-03-15T01:18:50.908546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters60
Distinct characters18
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

Unique3 ?
Unique (%)100.0%

Sample

1st row토요일 운영시간 09:30~11:00
2nd row토요일 운영시간 14:00~15:00
3rd row목요일 운영시간 19:00~21:00
ValueCountFrequency (%)
운영시간 3
33.3%
토요일 2
22.2%
09:30~11:00 1
 
11.1%
14:00~15:00 1
 
11.1%
목요일 1
 
11.1%
19:00~21:00 1
 
11.1%
2024-03-15T01:18:51.894706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12
20.0%
6
10.0%
: 6
10.0%
1 6
10.0%
~ 3
 
5.0%
일 3
 
5.0%
운 3
 
5.0%
영 3
 
5.0%
시 3
 
5.0%
간 3
 
5.0%
Other values (8) 12
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
40.0%
Other Letter 21
35.0%
Space Separator 6
 
10.0%
Other Punctuation 6
 
10.0%
Math Symbol 3
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3
14.3%
운 3
14.3%
영 3
14.3%
시 3
14.3%
간 3
14.3%
요 3
14.3%
토 2
9.5%
목 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
0 12
50.0%
1 6
25.0%
9 2
 
8.3%
3 1
 
4.2%
4 1
 
4.2%
5 1
 
4.2%
2 1
 
4.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
: 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
65.0%
Hangul 21
35.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12
30.8%
6
15.4%
: 6
15.4%
1 6
15.4%
~ 3
 
7.7%
9 2
 
5.1%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
2 1
 
2.6%
Hangul
ValueCountFrequency (%)
일 3
14.3%
운 3
14.3%
영 3
14.3%
시 3
14.3%
간 3
14.3%
요 3
14.3%
토 2
9.5%
목 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
65.0%
Hangul 21
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12
30.8%
6
15.4%
: 6
15.4%
1 6
15.4%
~ 3
 
7.7%
9 2
 
5.1%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
2 1
 
2.6%
Hangul
ValueCountFrequency (%)
일 3
14.3%
운 3
14.3%
영 3
14.3%
시 3
14.3%
간 3
14.3%
요 3
14.3%
토 2
9.5%
목 1
 
4.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-05
129 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-05
2nd row2024-03-05
3rd row2024-03-05
4th row2024-03-05
5th row2024-03-05

Common Values

ValueCountFrequency (%)
2024-03-05 129
100.0%

Length

2024-03-15T01:18:52.314789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:18:52.652598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-05 129
100.0%

Interactions

2024-03-15T01:18:40.946907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:40.444684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:41.198169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:18:40.690587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:18:52.875772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동프로그램명정원운영요일운영시작시각운영종료시각수강료운영장소운영장소 주소문의전화비고
연번1.0000.9700.3970.6540.3800.5370.6060.9240.9740.9960.9701.000
읍면동0.9701.0000.0000.6480.4800.5220.5880.9720.9971.0001.0001.000
프로그램명0.3970.0001.0000.0000.6670.9630.9520.1340.7960.0000.0001.000
정원0.6540.6480.0001.0000.0000.4760.7280.5800.6660.7200.648NaN
운영요일0.3800.4800.6670.0001.0000.7740.4510.1720.6430.5970.4801.000
운영시작시각0.5370.5220.9630.4760.7741.0000.9660.3810.7320.7080.5221.000
운영종료시각0.6060.5880.9520.7280.4510.9661.0000.3870.5350.6270.5881.000
수강료0.9240.9720.1340.5800.1720.3810.3871.0000.9850.9790.972NaN
운영장소0.9740.9970.7960.6660.6430.7320.5350.9851.0000.9980.9971.000
운영장소 주소0.9961.0000.0000.7200.5970.7080.6270.9790.9981.0001.0001.000
문의전화0.9701.0000.0000.6480.4800.5220.5880.9720.9971.0001.0001.000
비고1.0001.0001.000NaN1.0001.0001.000NaN1.0001.0001.0001.000
2024-03-15T01:18:53.285352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문의전화운영종료시각운영장소 주소읍면동수강료운영시작시각운영요일운영장소
문의전화1.0000.2320.9821.0000.8790.1900.1730.920
운영종료시각0.2321.0000.2390.2320.2010.7550.1500.167
운영장소 주소0.9820.2391.0000.9820.8790.2890.1690.948
읍면동1.0000.2320.9821.0000.8790.1900.1730.920
수강료0.8790.2010.8790.8791.0000.1910.0700.846
운영시작시각0.1900.7550.2890.1900.1911.0000.2740.280
운영요일0.1730.1500.1690.1730.0700.2741.0000.222
운영장소0.9200.1670.9480.9200.8460.2800.2221.000
2024-03-15T01:18:53.764412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원읍면동운영요일운영시작시각운영종료시각수강료운영장소운영장소 주소문의전화
연번1.000-0.3010.8370.1440.2260.2750.6180.7840.8490.837
정원-0.3011.0000.4000.0000.2260.4110.4360.3330.4330.400
읍면동0.8370.4001.0000.1730.1900.2320.8790.9200.9821.000
운영요일0.1440.0000.1731.0000.2740.1500.0700.2220.1690.173
운영시작시각0.2260.2260.1900.2741.0000.7550.1910.2800.2890.190
운영종료시각0.2750.4110.2320.1500.7551.0000.2010.1670.2390.232
수강료0.6180.4360.8790.0700.1910.2011.0000.8460.8790.879
운영장소0.7840.3330.9200.2220.2800.1670.8461.0000.9480.920
운영장소 주소0.8490.4330.9820.1690.2890.2390.8790.9481.0000.982
문의전화0.8370.4001.0000.1730.1900.2320.8790.9200.9821.000

Missing values

2024-03-15T01:18:41.785004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:18:42.344838image/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.
2024-03-15T01:18:42.747615image/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

연번읍면동프로그램명정원운영요일운영시작시각운영종료시각수강료운영장소운영장소 주소문의전화비고데이터기준일
01웅천읍시니어로빅20월10:00:0012:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
12웅천읍노래교실40월19:30:0021:30:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
23웅천읍댄스스포츠20화20:00:0022:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
34웅천읍풍물교실20화19:00:0021:00:00무료웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
45웅천읍수묵화교실20수10:00:0012:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
56웅천읍서예교실20목19:00:0021:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
67웅천읍색소폰교실20목19:00:0021:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
78웅천읍라인댄스20금10:00:0012:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
89웅천읍기타교실20금19:00:0021:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
910웅천읍장구난타20금19:00:0021:00:0030000웅천읍 주민자치센터충청남도 보령시 웅천읍 장터중앙길 88041-930-4514<NA>2024-03-05
연번읍면동프로그램명정원운영요일운영시작시각운영종료시각수강료운영장소운영장소 주소문의전화비고데이터기준일
119121대천4동탁구교실15월18:30:0020:30:00100002층 문화강좌5실충청남도 보령시 명천로 70041-930-3690<NA>2024-03-05
120122대천4동홈바리스타15수10:00:0012:00:00100001층 문화강좌1실충청남도 보령시 명천로 70041-930-3690<NA>2024-03-05
121123대천4동수채화15월13:30:0015:30:00100001층 문화강좌1실충청남도 보령시 명천로 70041-930-3690<NA>2024-03-05
122124대천4동어반스케치15화10:00:0012:00:00100001층 문화강좌1실충청남도 보령시 명천로 70041-930-3690<NA>2024-03-05
123125대천5동풍물교실15월19:00:0021:00:00무료대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05
124126대천5동중급난타15화19:00:0021:00:0010000대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05
125127대천5동라인댄스15수10:00:0012:00:0010000대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05
126128대천5동기타교실15목19:00:0021:00:0010000대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05
127129대천5동요가교실15금14:00:0016:00:0010000대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05
128130대천5동색소폰15금19:00:0021:00:0010000대천5동 주민자치센터충청남도 보령시 대천항로 204041-930-4983<NA>2024-03-05