Overview

Dataset statistics

Number of variables8
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory67.7 B

Variable types

Numeric2
Categorical5
Text1

Dataset

Description인천광역시 남동구 의회 세미나 현황에 대한 데이터로 연번, 시작기간, 종료기간, 장소, 참가인원, 내용, 기타, 데이터기준일자 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15090989/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
종료기간 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
시작기간 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 is highly overall correlated with 시작기간 and 3 other fieldsHigh correlation
참가인원 is highly overall correlated with 시작기간 and 3 other fieldsHigh correlation
장소 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
기타 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:46:04.568385
Analysis finished2024-04-17 11:46:05.420199
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-17T20:46:05.489109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2024-04-17T20:46:05.624084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

시작기간
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2019-04-17
6 
2017-09-27
 
5
2017-02-22
 
5
2016-02-24
 
5
2022-08-17
 
4
Other values (29)
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique13 ?
Unique (%)16.2%

Sample

1st row2023-03-20
2nd row2023-03-20
3rd row2023-03-20
4th row2022-08-17
5th row2022-08-17

Common Values

ValueCountFrequency (%)
2019-04-17 6
 
7.5%
2017-09-27 5
 
6.2%
2017-02-22 5
 
6.2%
2016-02-24 5
 
6.2%
2022-08-17 4
 
5.0%
2015-06-03 4
 
5.0%
2007-03-28 4
 
5.0%
2023-03-20 3
 
3.8%
2014-10-06 3
 
3.8%
2012-04-03 3
 
3.8%
Other values (24) 38
47.5%

Length

2024-04-17T20:46:05.754297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-04-17 6
 
7.5%
2017-09-27 5
 
6.2%
2017-02-22 5
 
6.2%
2016-02-24 5
 
6.2%
2022-08-17 4
 
5.0%
2015-06-03 4
 
5.0%
2007-03-28 4
 
5.0%
2023-03-20 3
 
3.8%
2014-10-06 3
 
3.8%
2012-04-03 3
 
3.8%
Other values (24) 38
47.5%

종료기간
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2019-04-19
6 
2017-09-29
 
5
2017-02-24
 
5
2016-02-26
 
5
2022-08-19
 
4
Other values (29)
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique13 ?
Unique (%)16.2%

Sample

1st row2023-03-22
2nd row2023-03-22
3rd row2023-03-22
4th row2022-08-19
5th row2022-08-19

Common Values

ValueCountFrequency (%)
2019-04-19 6
 
7.5%
2017-09-29 5
 
6.2%
2017-02-24 5
 
6.2%
2016-02-26 5
 
6.2%
2022-08-19 4
 
5.0%
2015-06-05 4
 
5.0%
2007-03-30 4
 
5.0%
2023-03-22 3
 
3.8%
2014-10-08 3
 
3.8%
2012-05-02 3
 
3.8%
Other values (24) 38
47.5%

Length

2024-04-17T20:46:05.846040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-04-19 6
 
7.5%
2017-09-29 5
 
6.2%
2017-02-24 5
 
6.2%
2016-02-26 5
 
6.2%
2022-08-19 4
 
5.0%
2015-06-05 4
 
5.0%
2007-03-30 4
 
5.0%
2023-03-22 3
 
3.8%
2014-10-08 3
 
3.8%
2012-05-02 3
 
3.8%
Other values (24) 38
47.5%

장소
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
제주도
38 
강원도 삼척시
5 
제주절물자연휴양림
5 
중회의실
4 
단양
4 
Other values (13)
24 

Length

Max length11
Median length3
Mean length4.6125
Min length2

Unique

Unique5 ?
Unique (%)6.2%

Sample

1st row제주도
2nd row제주도
3rd row제주도
4th row단양
5th row단양

Common Values

ValueCountFrequency (%)
제주도 38
47.5%
강원도 삼척시 5
 
6.2%
제주절물자연휴양림 5
 
6.2%
중회의실 4
 
5.0%
단양 4
 
5.0%
강원도 속초시 3
 
3.8%
남동구의회 3
 
3.8%
설악산 3
 
3.8%
제주도 제주대학연수원 2
 
2.5%
전북 무주 2
 
2.5%
Other values (8) 11
 
13.8%

Length

2024-04-17T20:46:05.939273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주도 40
39.6%
강원도 10
 
9.9%
삼척시 5
 
5.0%
제주절물자연휴양림 5
 
5.0%
중회의실 4
 
4.0%
단양 4
 
4.0%
속초시 3
 
3.0%
남동구의회 3
 
3.0%
설악산 3
 
3.0%
교육원 2
 
2.0%
Other values (14) 22
21.8%

참가인원
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.1875
Minimum8
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-17T20:46:06.025363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.95
Q113
median19
Q325
95-th percentile26
Maximum31
Range23
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.9832969
Coefficient of variation (CV)0.31183306
Kurtosis-1.1809616
Mean19.1875
Median Absolute Deviation (MAD)6
Skewness-0.20464367
Sum1535
Variance35.799842
MonotonicityNot monotonic
2024-04-17T20:46:06.119328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
25 14
17.5%
19 10
12.5%
18 8
10.0%
12 8
10.0%
24 8
10.0%
26 6
7.5%
11 6
7.5%
13 4
 
5.0%
8 3
 
3.8%
22 3
 
3.8%
Other values (7) 10
12.5%
ValueCountFrequency (%)
8 3
 
3.8%
10 1
 
1.2%
11 6
7.5%
12 8
10.0%
13 4
 
5.0%
14 2
 
2.5%
15 1
 
1.2%
17 2
 
2.5%
18 8
10.0%
19 10
12.5%
ValueCountFrequency (%)
31 1
 
1.2%
29 2
 
2.5%
26 6
7.5%
25 14
17.5%
24 8
10.0%
23 1
 
1.2%
22 3
 
3.8%
19 10
12.5%
18 8
10.0%
17 2
 
2.5%

내용
Text

Distinct68
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-17T20:46:06.309512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length30
Mean length23.3625
Min length6

Characters and Unicode

Total characters1869
Distinct characters205
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

Unique61 ?
Unique (%)76.2%

Sample

1st row지역명소답사
2nd row전문강좌 : 예산 및 결산안 심사기법 등
3rd row의무교육 : 청렴교육 및 4대폭력예방교육
4th row지역명소 답사
5th row브레인스토밍 : 전반기 의정활동 및 홍보 활성화 방안
ValueCountFrequency (%)
및 30
 
6.4%
22
 
4.7%
통한 15
 
3.2%
등 10
 
2.1%
의정활동 9
 
1.9%
방안 8
 
1.7%
대한 7
 
1.5%
브레인스토밍 6
 
1.3%
지역명소 6
 
1.3%
청렴교육 6
 
1.3%
Other values (221) 348
74.5%
2024-04-17T20:46:06.625425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
388
 
20.8%
의 74
 
4.0%
방 46
 
2.5%
지 39
 
2.1%
사 38
 
2.0%
정 37
 
2.0%
법 35
 
1.9%
한 30
 
1.6%
및 30
 
1.6%
기 28
 
1.5%
Other values (195) 1124
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1431
76.6%
Space Separator 388
 
20.8%
Other Punctuation 39
 
2.1%
Decimal Number 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 74
 
5.2%
방 46
 
3.2%
지 39
 
2.7%
사 38
 
2.7%
정 37
 
2.6%
법 35
 
2.4%
한 30
 
2.1%
및 30
 
2.1%
기 28
 
2.0%
심 23
 
1.6%
Other values (189) 1051
73.4%
Decimal Number
ValueCountFrequency (%)
4 7
63.6%
0 2
 
18.2%
2 2
 
18.2%
Other Punctuation
ValueCountFrequency (%)
: 22
56.4%
, 17
43.6%
Space Separator
ValueCountFrequency (%)
388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1431
76.6%
Common 438
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 74
 
5.2%
방 46
 
3.2%
지 39
 
2.7%
사 38
 
2.7%
정 37
 
2.6%
법 35
 
2.4%
한 30
 
2.1%
및 30
 
2.1%
기 28
 
2.0%
심 23
 
1.6%
Other values (189) 1051
73.4%
Common
ValueCountFrequency (%)
388
88.6%
: 22
 
5.0%
, 17
 
3.9%
4 7
 
1.6%
0 2
 
0.5%
2 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1431
76.6%
ASCII 438
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
388
88.6%
: 22
 
5.0%
, 17
 
3.9%
4 7
 
1.6%
0 2
 
0.5%
2 2
 
0.5%
Hangul
ValueCountFrequency (%)
의 74
 
5.2%
방 46
 
3.2%
지 39
 
2.7%
사 38
 
2.7%
정 37
 
2.6%
법 35
 
2.4%
한 30
 
2.1%
및 30
 
2.1%
기 28
 
2.0%
심 23
 
1.6%
Other values (189) 1051
73.4%

기타
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
제7대
26 
제4대
15 
제5대
9 
제9대
7 
제8대
6 
Other values (4)
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제9대
2nd row제9대
3rd row제9대
4th row제9대
5th row제9대

Common Values

ValueCountFrequency (%)
제7대 26
32.5%
제4대 15
18.8%
제5대 9
 
11.2%
제9대 7
 
8.8%
제8대 6
 
7.5%
제6대 6
 
7.5%
제3대 5
 
6.2%
제2대 3
 
3.8%
제1대 3
 
3.8%

Length

2024-04-17T20:46:06.746166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:46:06.849776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7대 26
32.5%
제4대 15
18.8%
제5대 9
 
11.2%
제9대 7
 
8.8%
제8대 6
 
7.5%
제6대 6
 
7.5%
제3대 5
 
6.2%
제2대 3
 
3.8%
제1대 3
 
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-05-11
80 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-11
2nd row2023-05-11
3rd row2023-05-11
4th row2023-05-11
5th row2023-05-11

Common Values

ValueCountFrequency (%)
2023-05-11 80
100.0%

Length

2024-04-17T20:46:06.977765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:46:07.058398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-11 80
100.0%

Interactions

2024-04-17T20:46:05.112336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:46:04.970175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:46:05.184305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:46:05.046487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T20:46:07.113676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시작기간종료기간장소참가인원내용기타
연번1.0000.9850.9850.8590.7660.8660.898
시작기간0.9851.0001.0001.0001.0000.9851.000
종료기간0.9851.0001.0001.0001.0000.9851.000
장소0.8591.0001.0001.0000.8440.9310.900
참가인원0.7661.0001.0000.8441.0000.9870.829
내용0.8660.9850.9850.9310.9871.0000.965
기타0.8981.0001.0000.9000.8290.9651.000
2024-04-17T20:46:07.201758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타장소종료기간시작기간
기타1.0000.5070.8050.805
장소0.5071.0000.8610.861
종료기간0.8050.8611.0001.000
시작기간0.8050.8611.0001.000
2024-04-17T20:46:07.284349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번참가인원시작기간종료기간장소기타
연번1.000-0.2520.7210.7210.5200.689
참가인원-0.2521.0000.7990.7990.5210.596
시작기간0.7210.7991.0001.0000.8610.805
종료기간0.7210.7991.0001.0000.8610.805
장소0.5200.5210.8610.8611.0000.507
기타0.6890.5960.8050.8050.5071.000

Missing values

2024-04-17T20:46:05.272429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:46:05.378234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시작기간종료기간장소참가인원내용기타데이터기준일자
012023-03-202023-03-22제주도18지역명소답사제9대2023-05-11
122023-03-202023-03-22제주도18전문강좌 : 예산 및 결산안 심사기법 등제9대2023-05-11
232023-03-202023-03-22제주도18의무교육 : 청렴교육 및 4대폭력예방교육제9대2023-05-11
342022-08-172022-08-19단양24지역명소 답사제9대2023-05-11
452022-08-172022-08-19단양24브레인스토밍 : 전반기 의정활동 및 홍보 활성화 방안제9대2023-05-11
562022-08-172022-08-19단양24전문강좌 : 예산 및 결산안 심사기법 등제9대2023-05-11
672022-08-172022-08-19단양24의무교육 : 청렴교육 및 4대폭력예방교육제9대2023-05-11
782019-04-172019-04-19제주도25교양강좌 : 리더십 및 소통과 화합을 위한 행복리더십제8대2023-05-11
892019-04-172019-04-19제주도25전문강좌 : 예산 및 결산안 심사기법 등제8대2023-05-11
9102019-04-172019-04-19제주도25의무교육 : 청렴교육 및 4대폭력예방교육제8대2023-05-11
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