Overview

Dataset statistics

Number of variables7
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory58.6 B

Variable types

Numeric2
Categorical1
Text2
DateTime2

Dataset

Description1. 부산관광공사 MICE 개최지원 국제회의와 관련된 MICE 행사목록(2017년~2022년간) 및 개최일자를 안내합니다. 2. MICE는 M(Meeting, 회의), I(Incentive tour, 기업회의 포상 관광), C(Convention, 국제회의), E(Exhibition @ Event, 산업전시회)의 약자입니다. ※ 기준연도 : 2017-2022년
URLhttps://www.data.go.kr/data/15116881/fileData.do

Alerts

순번 is highly overall correlated with 개최년도High correlation
개최년도 is highly overall correlated with 순번High correlation
구분 is highly imbalanced (81.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:25:22.696557
Analysis finished2023-12-11 23:25:23.451259
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.5
Minimum1
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T08:25:23.509924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.55
Q153.75
median106.5
Q3159.25
95-th percentile201.45
Maximum212
Range211
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation61.343296
Coefficient of variation (CV)0.57599339
Kurtosis-1.2
Mean106.5
Median Absolute Deviation (MAD)53
Skewness0
Sum22578
Variance3763
MonotonicityStrictly increasing
2023-12-12T08:25:23.614594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
135 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
Other values (202) 202
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%

개최년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.2972
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T08:25:23.713607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.819169
Coefficient of variation (CV)0.00090089216
Kurtosis-1.3312632
Mean2019.2972
Median Absolute Deviation (MAD)2
Skewness0.27570064
Sum428091
Variance3.3093758
MonotonicityIncreasing
2023-12-12T08:25:23.813170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 44
20.8%
2019 43
20.3%
2022 43
20.3%
2018 42
19.8%
2021 24
11.3%
2020 16
 
7.5%
ValueCountFrequency (%)
2017 44
20.8%
2018 42
19.8%
2019 43
20.3%
2020 16
 
7.5%
2021 24
11.3%
2022 43
20.3%
ValueCountFrequency (%)
2022 43
20.3%
2021 24
11.3%
2020 16
 
7.5%
2019 43
20.3%
2018 42
19.8%
2017 44
20.8%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
개최지원
206 
개최지원
 
6

Length

Max length5
Median length4
Mean length4.0283019
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개최지원 206
97.2%
개최지원 6
 
2.8%

Length

2023-12-12T08:25:23.931919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:24.023728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개최지원 212
100.0%

회의명
Text

Distinct210
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:25:24.238807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length92
Mean length42.415094
Min length9

Characters and Unicode

Total characters8992
Distinct characters364
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)98.1%

Sample

1st row제 12차 아시아-오세아니아 갑상선학회
2nd row2017년 대한위암학회 국제학술대회
3rd row대한민국 지역개발 및 부동산포럼
4th row한-아프리카 비즈니스 포럼
5th rowIAP 집행위원회
ValueCountFrequency (%)
및 47
 
3.4%
of 35
 
2.5%
2022 26
 
1.9%
국제학술대회 25
 
1.8%
international 25
 
1.8%
conference 22
 
1.6%
국제 22
 
1.6%
the 22
 
1.6%
2018 21
 
1.5%
meeting 21
 
1.5%
Other values (697) 1111
80.7%
2023-12-12T08:25:24.641700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1177
 
13.1%
e 382
 
4.2%
n 377
 
4.2%
2 352
 
3.9%
회 313
 
3.5%
o 284
 
3.2%
t 235
 
2.6%
a 225
 
2.5%
i 224
 
2.5%
학 209
 
2.3%
Other values (354) 5214
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3080
34.3%
Lowercase Letter 2835
31.5%
Space Separator 1177
 
13.1%
Uppercase Letter 855
 
9.5%
Decimal Number 841
 
9.4%
Close Punctuation 64
 
0.7%
Open Punctuation 64
 
0.7%
Other Punctuation 43
 
0.5%
Dash Punctuation 31
 
0.3%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 313
 
10.2%
학 209
 
6.8%
제 201
 
6.5%
국 143
 
4.6%
술 123
 
4.0%
대 117
 
3.8%
아 70
 
2.3%
한 69
 
2.2%
기 56
 
1.8%
및 47
 
1.5%
Other values (279) 1732
56.2%
Lowercase Letter
ValueCountFrequency (%)
e 382
13.5%
n 377
13.3%
o 284
10.0%
t 235
8.3%
a 225
 
7.9%
i 224
 
7.9%
r 194
 
6.8%
s 125
 
4.4%
l 119
 
4.2%
c 103
 
3.6%
Other values (16) 567
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 101
11.8%
S 101
11.8%
I 88
10.3%
E 72
 
8.4%
A 67
 
7.8%
M 50
 
5.8%
K 45
 
5.3%
R 45
 
5.3%
T 40
 
4.7%
O 36
 
4.2%
Other values (16) 210
24.6%
Decimal Number
ValueCountFrequency (%)
2 352
41.9%
0 192
22.8%
1 133
 
15.8%
8 43
 
5.1%
7 26
 
3.1%
4 25
 
3.0%
9 21
 
2.5%
3 17
 
2.0%
5 17
 
2.0%
6 15
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 21
48.8%
, 9
20.9%
/ 7
 
16.3%
· 4
 
9.3%
: 2
 
4.7%
Close Punctuation
ValueCountFrequency (%)
) 60
93.8%
] 4
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 60
93.8%
[ 4
 
6.2%
Space Separator
ValueCountFrequency (%)
1177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3690
41.0%
Hangul 3080
34.3%
Common 2222
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 313
 
10.2%
학 209
 
6.8%
제 201
 
6.5%
국 143
 
4.6%
술 123
 
4.0%
대 117
 
3.8%
아 70
 
2.3%
한 69
 
2.2%
기 56
 
1.8%
및 47
 
1.5%
Other values (279) 1732
56.2%
Latin
ValueCountFrequency (%)
e 382
 
10.4%
n 377
 
10.2%
o 284
 
7.7%
t 235
 
6.4%
a 225
 
6.1%
i 224
 
6.1%
r 194
 
5.3%
s 125
 
3.4%
l 119
 
3.2%
c 103
 
2.8%
Other values (42) 1422
38.5%
Common
ValueCountFrequency (%)
1177
53.0%
2 352
 
15.8%
0 192
 
8.6%
1 133
 
6.0%
) 60
 
2.7%
( 60
 
2.7%
8 43
 
1.9%
- 31
 
1.4%
7 26
 
1.2%
4 25
 
1.1%
Other values (13) 123
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5906
65.7%
Hangul 3080
34.3%
None 4
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1177
19.9%
e 382
 
6.5%
n 377
 
6.4%
2 352
 
6.0%
o 284
 
4.8%
t 235
 
4.0%
a 225
 
3.8%
i 224
 
3.8%
r 194
 
3.3%
0 192
 
3.3%
Other values (62) 2264
38.3%
Hangul
ValueCountFrequency (%)
회 313
 
10.2%
학 209
 
6.8%
제 201
 
6.5%
국 143
 
4.6%
술 123
 
4.0%
대 117
 
3.8%
아 70
 
2.3%
한 69
 
2.2%
기 56
 
1.8%
및 47
 
1.5%
Other values (279) 1732
56.2%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

시작일
Date

Distinct189
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2017-03-16 00:00:00
Maximum2022-12-10 00:00:00
2023-12-12T08:25:24.782784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:24.947454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct182
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2017-03-19 00:00:00
Maximum2022-12-17 00:00:00
2023-12-12T08:25:25.108494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:25.241253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개최장소
Text

Distinct69
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:25:25.545812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length6.5943396
Min length3

Characters and Unicode

Total characters1398
Distinct characters143
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

Unique52 ?
Unique (%)24.5%

Sample

1st row부산롯데호텔
2nd row벡스코
3rd row벡스코
4th row벡스코
5th row웨스틴조선호텔
ValueCountFrequency (%)
벡스코 101
33.8%
해운대 22
 
7.4%
그랜드호텔 12
 
4.0%
파라다이스호텔 12
 
4.0%
호텔 11
 
3.7%
부산 10
 
3.3%
해운대그랜드호텔 8
 
2.7%
웨스틴조선호텔 7
 
2.3%
bpex 4
 
1.3%
파라다이스 4
 
1.3%
Other values (68) 108
36.1%
2023-12-12T08:25:25.882625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 144
 
10.3%
코 106
 
7.6%
벡 103
 
7.4%
89
 
6.4%
텔 74
 
5.3%
호 68
 
4.9%
대 41
 
2.9%
해 35
 
2.5%
부 33
 
2.4%
운 32
 
2.3%
Other values (133) 673
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1241
88.8%
Space Separator 89
 
6.4%
Uppercase Letter 32
 
2.3%
Other Punctuation 12
 
0.9%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Decimal Number 6
 
0.4%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 144
 
11.6%
코 106
 
8.5%
벡 103
 
8.3%
텔 74
 
6.0%
호 68
 
5.5%
대 41
 
3.3%
해 35
 
2.8%
부 33
 
2.7%
운 32
 
2.6%
산 32
 
2.6%
Other values (113) 573
46.2%
Uppercase Letter
ValueCountFrequency (%)
P 7
21.9%
E 7
21.9%
B 6
18.8%
X 5
15.6%
C 3
9.4%
A 2
 
6.2%
M 1
 
3.1%
H 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 1
 
16.7%
6 1
 
16.7%
7 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
p 1
25.0%
e 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1241
88.8%
Common 121
 
8.7%
Latin 36
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 144
 
11.6%
코 106
 
8.5%
벡 103
 
8.3%
텔 74
 
6.0%
호 68
 
5.5%
대 41
 
3.3%
해 35
 
2.8%
부 33
 
2.7%
운 32
 
2.6%
산 32
 
2.6%
Other values (113) 573
46.2%
Latin
ValueCountFrequency (%)
P 7
19.4%
E 7
19.4%
B 6
16.7%
X 5
13.9%
C 3
8.3%
A 2
 
5.6%
M 1
 
2.8%
H 1
 
2.8%
a 1
 
2.8%
p 1
 
2.8%
Other values (2) 2
 
5.6%
Common
ValueCountFrequency (%)
89
73.6%
, 12
 
9.9%
) 7
 
5.8%
( 7
 
5.8%
1 3
 
2.5%
2 1
 
0.8%
6 1
 
0.8%
7 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1241
88.8%
ASCII 157
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 144
 
11.6%
코 106
 
8.5%
벡 103
 
8.3%
텔 74
 
6.0%
호 68
 
5.5%
대 41
 
3.3%
해 35
 
2.8%
부 33
 
2.7%
운 32
 
2.6%
산 32
 
2.6%
Other values (113) 573
46.2%
ASCII
ValueCountFrequency (%)
89
56.7%
, 12
 
7.6%
) 7
 
4.5%
( 7
 
4.5%
P 7
 
4.5%
E 7
 
4.5%
B 6
 
3.8%
X 5
 
3.2%
C 3
 
1.9%
1 3
 
1.9%
Other values (10) 11
 
7.0%

Interactions

2023-12-12T08:25:23.179047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:23.045208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:23.251556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:23.115207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:25.978718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번개최년도구분개최장소
순번1.0000.9570.6220.636
개최년도0.9571.0000.2400.384
구분0.6220.2401.0000.382
개최장소0.6360.3840.3821.000
2023-12-12T08:25:26.063706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번개최년도구분
순번1.0000.9820.473
개최년도0.9821.0000.302
구분0.4730.3021.000

Missing values

2023-12-12T08:25:23.333678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:25:23.417758image/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

순번개최년도구분회의명시작일종료일개최장소
012017개최지원제 12차 아시아-오세아니아 갑상선학회2017-03-162017-03-19부산롯데호텔
122017개최지원2017년 대한위암학회 국제학술대회2017-03-232017-03-25벡스코
232017개최지원대한민국 지역개발 및 부동산포럼2017-03-302017-04-01벡스코
342017개최지원한-아프리카 비즈니스 포럼2017-04-032017-04-04벡스코
452017개최지원IAP 집행위원회2017-04-032017-04-05웨스틴조선호텔
562017개최지원IAP 지역위원회2017-04-052017-04-07웨스틴조선호텔
672017개최지원2017년도 한국해양과학기술협의회 공동학술대회2017-04-192017-04-20벡스코
782017개최지원제6차 아시아복부영상의학회 학술대회2017-04-212017-04-22해운대그랜드호텔
892017개최지원한국미생물학회 국제학술대회2017-04-262017-04-28벡스코
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