Overview

Dataset statistics

Number of variables72
Number of observations30
Missing cells1125
Missing cells (%)52.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory617.4 B

Variable types

Numeric9
Text22
Categorical12
Unsupported22
Boolean5
DateTime2

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/c5ae9aca-8969-4f35-a398-5d73d1a5f37a

Alerts

정책정보번호 has constant value ""Constant
행사홈페이지URL has constant value ""Constant
채용박람회여부 has constant value ""Constant
일자리버스여부 has constant value ""Constant
행사기관공간정보번호 has constant value ""Constant
문의처공간정보번호 has constant value ""Constant
공유수 has constant value ""Constant
온라인신청가능여부 has constant value ""Constant
삭제여부 has constant value ""Constant
생애주기명 has constant value ""Constant
관심수 is highly imbalanced (78.9%)Imbalance
행사홈페이지URL has 29 (96.7%) missing valuesMissing
행사장소 has 20 (66.7%) missing valuesMissing
행사장소우편번호 has 19 (63.3%) missing valuesMissing
행사장소도로명주소 has 19 (63.3%) missing valuesMissing
행사장소도로명상세주소 has 22 (73.3%) missing valuesMissing
행사장소지번상세주소 has 22 (73.3%) missing valuesMissing
행사장소위도 has 19 (63.3%) missing valuesMissing
행사장소경도 has 19 (63.3%) missing valuesMissing
특화대상명 has 30 (100.0%) missing valuesMissing
분류2명 has 30 (100.0%) missing valuesMissing
분류3명 has 30 (100.0%) missing valuesMissing
신분류1명 has 30 (100.0%) missing valuesMissing
신분류2명 has 30 (100.0%) missing valuesMissing
태그명 has 9 (30.0%) missing valuesMissing
행사요약인원명 has 9 (30.0%) missing valuesMissing
행사요약비용 has 17 (56.7%) missing valuesMissing
행사요약접수방법명 has 14 (46.7%) missing valuesMissing
행사요약대상명 has 18 (60.0%) missing valuesMissing
행사내용 has 15 (50.0%) missing valuesMissing
행사기관명 has 1 (3.3%) missing valuesMissing
행사기관우편번호 has 8 (26.7%) missing valuesMissing
행사기관도로명주소 has 8 (26.7%) missing valuesMissing
행사기관도로명상세주소 has 23 (76.7%) missing valuesMissing
행사기관지번상세주소 has 23 (76.7%) missing valuesMissing
행사기관지도좌표위도 has 30 (100.0%) missing valuesMissing
행사기관지도좌표경도 has 30 (100.0%) missing valuesMissing
행사기관사이트URL has 18 (60.0%) missing valuesMissing
문의처명 has 16 (53.3%) missing valuesMissing
문의처사이트URL has 27 (90.0%) missing valuesMissing
문의처우편번호 has 18 (60.0%) missing valuesMissing
문의처도로명주소 has 18 (60.0%) missing valuesMissing
문의처도로명상세주소 has 27 (90.0%) missing valuesMissing
문의처지도좌표위도 has 30 (100.0%) missing valuesMissing
문의처지도좌표경도 has 30 (100.0%) missing valuesMissing
문의처지번상세주소 has 27 (90.0%) missing valuesMissing
중요도구분명 has 30 (100.0%) missing valuesMissing
정책사이트URL has 30 (100.0%) missing valuesMissing
등록저장일시 has 30 (100.0%) missing valuesMissing
수정저장일시 has 30 (100.0%) missing valuesMissing
필기시험시작일자 has 30 (100.0%) missing valuesMissing
필기시험종료일자 has 30 (100.0%) missing valuesMissing
실기시험시작일자 has 30 (100.0%) missing valuesMissing
실기시험종료일자 has 30 (100.0%) missing valuesMissing
면접시험시작일자 has 30 (100.0%) missing valuesMissing
면접시험종료일자 has 30 (100.0%) missing valuesMissing
행사기관대표전화번호 has 30 (100.0%) missing valuesMissing
활동상세추가내용 has 30 (100.0%) missing valuesMissing
홈페이지바로가기수 has 30 (100.0%) missing valuesMissing
행사정보번호 has unique valuesUnique
등록일시 has unique valuesUnique
추가내용 has unique valuesUnique
특화대상명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
분류2명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
분류3명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신분류1명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신분류2명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
행사기관지도좌표위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
행사기관지도좌표경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문의처지도좌표위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문의처지도좌표경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
중요도구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정책사이트URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
등록저장일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정저장일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported
필기시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
필기시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실기시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실기시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면접시험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면접시험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
행사기관대표전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
활동상세추가내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지바로가기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
행사요약비용 has 7 (23.3%) zerosZeros
조회수 has 17 (56.7%) zerosZeros

Reproduction

Analysis started2023-12-10 13:44:36.265240
Analysis finished2023-12-10 13:44:38.792256
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사정보번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:38.933689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-10T22:44:39.209874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

주요제목
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:44:39.741146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length25.5
Mean length19.966667
Min length3

Characters and Unicode

Total characters599
Distinct characters233
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row12@KR.KR
2nd row123
3rd row123
4th row첨부파일테스트
5th row운영서버 첨부파일 테스트
ValueCountFrequency (%)
2017 3
 
2.7%
123 2
 
1.8%
2
 
1.8%
수원 2
 
1.8%
수원/핸달트 2
 
1.8%
강사 2
 
1.8%
만들기 2
 
1.8%
교육 2
 
1.8%
모델링 2
 
1.8%
3d 2
 
1.8%
Other values (88) 89
80.9%
2023-12-10T22:44:40.440577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
14.2%
2 10
 
1.7%
업 9
 
1.5%
1 8
 
1.3%
스 8
 
1.3%
수 8
 
1.3%
[ 8
 
1.3%
트 8
 
1.3%
] 8
 
1.3%
3 7
 
1.2%
Other values (223) 440
73.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
55.8%
Space Separator 85
 
14.2%
Uppercase Letter 54
 
9.0%
Decimal Number 42
 
7.0%
Lowercase Letter 37
 
6.2%
Other Punctuation 18
 
3.0%
Open Punctuation 13
 
2.2%
Close Punctuation 13
 
2.2%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 9
 
2.7%
스 8
 
2.4%
수 8
 
2.4%
트 8
 
2.4%
이 6
 
1.8%
원 6
 
1.8%
사 6
 
1.8%
세 5
 
1.5%
인 5
 
1.5%
시 5
 
1.5%
Other values (162) 268
80.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
 
11.1%
T 6
 
11.1%
R 5
 
9.3%
O 4
 
7.4%
P 3
 
5.6%
K 3
 
5.6%
C 3
 
5.6%
M 3
 
5.6%
G 3
 
5.6%
I 3
 
5.6%
Other values (10) 15
27.8%
Lowercase Letter
ValueCountFrequency (%)
a 6
16.2%
n 4
10.8%
i 3
8.1%
t 3
8.1%
d 3
8.1%
o 3
8.1%
h 2
 
5.4%
m 2
 
5.4%
p 2
 
5.4%
s 2
 
5.4%
Other values (7) 7
18.9%
Decimal Number
ValueCountFrequency (%)
2 10
23.8%
1 8
19.0%
3 7
16.7%
0 6
14.3%
7 4
 
9.5%
4 2
 
4.8%
9 2
 
4.8%
5 2
 
4.8%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
; 6
33.3%
/ 3
16.7%
& 2
 
11.1%
# 2
 
11.1%
: 1
 
5.6%
＆ 1
 
5.6%
. 1
 
5.6%
@ 1
 
5.6%
! 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
[ 8
61.5%
( 5
38.5%
Close Punctuation
ValueCountFrequency (%)
] 8
61.5%
) 5
38.5%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
55.8%
Common 174
29.0%
Latin 91
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 9
 
2.7%
스 8
 
2.4%
수 8
 
2.4%
트 8
 
2.4%
이 6
 
1.8%
원 6
 
1.8%
사 6
 
1.8%
세 5
 
1.5%
인 5
 
1.5%
시 5
 
1.5%
Other values (162) 268
80.2%
Latin
ValueCountFrequency (%)
a 6
 
6.6%
A 6
 
6.6%
T 6
 
6.6%
R 5
 
5.5%
n 4
 
4.4%
O 4
 
4.4%
P 3
 
3.3%
K 3
 
3.3%
C 3
 
3.3%
i 3
 
3.3%
Other values (27) 48
52.7%
Common
ValueCountFrequency (%)
85
48.9%
2 10
 
5.7%
1 8
 
4.6%
[ 8
 
4.6%
] 8
 
4.6%
3 7
 
4.0%
0 6
 
3.4%
; 6
 
3.4%
) 5
 
2.9%
( 5
 
2.9%
Other values (14) 26
 
14.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
55.8%
ASCII 264
44.1%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
32.2%
2 10
 
3.8%
1 8
 
3.0%
[ 8
 
3.0%
] 8
 
3.0%
3 7
 
2.7%
a 6
 
2.3%
0 6
 
2.3%
A 6
 
2.3%
; 6
 
2.3%
Other values (50) 114
43.2%
Hangul
ValueCountFrequency (%)
업 9
 
2.7%
스 8
 
2.4%
수 8
 
2.4%
트 8
 
2.4%
이 6
 
1.8%
원 6
 
1.8%
사 6
 
1.8%
세 5
 
1.5%
인 5
 
1.5%
시 5
 
1.5%
Other values (162) 268
80.2%
None
ValueCountFrequency (%)
＆ 1
100.0%

정책정보번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:44:40.972106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:41.264059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

행사홈페이지URL
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-10T22:44:41.496399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gjf.or.kr
ValueCountFrequency (%)
http://www.gjf.or.kr 1
100.0%
2023-12-10T22:44:41.931634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3
15.0%
. 3
15.0%
t 2
10.0%
/ 2
10.0%
r 2
10.0%
h 1
 
5.0%
p 1
 
5.0%
: 1
 
5.0%
g 1
 
5.0%
j 1
 
5.0%
Other values (3) 3
15.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14
70.0%
Other Punctuation 6
30.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3
21.4%
t 2
14.3%
r 2
14.3%
h 1
 
7.1%
p 1
 
7.1%
g 1
 
7.1%
j 1
 
7.1%
f 1
 
7.1%
o 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
/ 2
33.3%
: 1
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
70.0%
Common 6
30.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3
21.4%
t 2
14.3%
r 2
14.3%
h 1
 
7.1%
p 1
 
7.1%
g 1
 
7.1%
j 1
 
7.1%
f 1
 
7.1%
o 1
 
7.1%
k 1
 
7.1%
Common
ValueCountFrequency (%)
. 3
50.0%
/ 2
33.3%
: 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3
15.0%
. 3
15.0%
t 2
10.0%
/ 2
10.0%
r 2
10.0%
h 1
 
5.0%
p 1
 
5.0%
: 1
 
5.0%
g 1
 
5.0%
j 1
 
5.0%
Other values (3) 3
15.0%

행사장소
Text

MISSING 

Distinct7
Distinct (%)70.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2023-12-10T22:44:42.241361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.5
Min length7

Characters and Unicode

Total characters95
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)50.0%

Sample

1st row킨텍스 제2전시장 6홀
2nd row스타트업캠퍼스 1층 컨퍼런스홈
3rd row경기창조경제혁신센터
4th row모이자 수원본점
5th row경기창조경제혁신센터
ValueCountFrequency (%)
경기창조경제혁신센터 3
20.0%
경기테크노파크 2
13.3%
스타트업캠퍼스 2
13.3%
킨텍스 1
 
6.7%
제2전시장 1
 
6.7%
6홀 1
 
6.7%
1층 1
 
6.7%
컨퍼런스홈 1
 
6.7%
모이자 1
 
6.7%
수원본점 1
 
6.7%
2023-12-10T22:44:42.710615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 9
 
9.5%
기 6
 
6.3%
스 6
 
6.3%
5
 
5.3%
크 4
 
4.2%
제 4
 
4.2%
조 3
 
3.2%
혁 3
 
3.2%
신 3
 
3.2%
센 3
 
3.2%
Other values (33) 49
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
91.6%
Space Separator 5
 
5.3%
Decimal Number 3
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 9
 
10.3%
기 6
 
6.9%
스 6
 
6.9%
크 4
 
4.6%
제 4
 
4.6%
조 3
 
3.4%
혁 3
 
3.4%
신 3
 
3.4%
센 3
 
3.4%
터 3
 
3.4%
Other values (29) 43
49.4%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
1 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
91.6%
Common 8
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 9
 
10.3%
기 6
 
6.9%
스 6
 
6.9%
크 4
 
4.6%
제 4
 
4.6%
조 3
 
3.4%
혁 3
 
3.4%
신 3
 
3.4%
센 3
 
3.4%
터 3
 
3.4%
Other values (29) 43
49.4%
Common
ValueCountFrequency (%)
5
62.5%
6 1
 
12.5%
1 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
91.6%
ASCII 8
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 9
 
10.3%
기 6
 
6.9%
스 6
 
6.9%
크 4
 
4.6%
제 4
 
4.6%
조 3
 
3.4%
혁 3
 
3.4%
신 3
 
3.4%
센 3
 
3.4%
터 3
 
3.4%
Other values (29) 43
49.4%
ASCII
ValueCountFrequency (%)
5
62.5%
6 1
 
12.5%
1 1
 
12.5%
2 1
 
12.5%

행사장소우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing19
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean14129.455
Minimum10390
Maximum16704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:42.986781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10390
5-th percentile11938.5
Q113487
median13488
Q315588
95-th percentile16467
Maximum16704
Range6314
Interquartile range (IQR)2101

Descriptive statistics

Standard deviation1781.9294
Coefficient of variation (CV)0.12611452
Kurtosis0.72494657
Mean14129.455
Median Absolute Deviation (MAD)1
Skewness-0.4609828
Sum155424
Variance3175272.5
MonotonicityNot monotonic
2023-12-10T22:44:43.220299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13487 4
 
13.3%
13488 2
 
6.7%
15588 2
 
6.7%
10390 1
 
3.3%
16704 1
 
3.3%
16230 1
 
3.3%
(Missing) 19
63.3%
ValueCountFrequency (%)
10390 1
 
3.3%
13487 4
13.3%
13488 2
6.7%
15588 2
6.7%
16230 1
 
3.3%
16704 1
 
3.3%
ValueCountFrequency (%)
16704 1
 
3.3%
16230 1
 
3.3%
15588 2
6.7%
13488 2
6.7%
13487 4
13.3%
10390 1
 
3.3%

행사장소도로명주소
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-12-10T22:44:43.517495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length36.909091
Min length25

Characters and Unicode

Total characters406
Distinct characters82
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

Unique5 ?
Unique (%)45.5%

Sample

1st row경기 고양시 일산서구 킨텍스로 217-59 (대화동; 제2킨텍스)
2nd row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
3rd row경기 성남시 분당구 판교로 289 (삼평동; 에이텍 빌딩)
4th row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
5th row경기 수원시 영통구 봉영로 1612 (영통동)
ValueCountFrequency (%)
경기 11
 
13.9%
분당구 6
 
7.6%
삼평동 6
 
7.6%
성남시 6
 
7.6%
대왕판교로645번길 4
 
5.1%
12 4
 
5.1%
경기창조경제혁신센터 4
 
5.1%
705 2
 
2.5%
수원시 2
 
2.5%
사동 2
 
2.5%
Other values (28) 32
40.5%
2023-12-10T22:44:44.022027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
16.7%
경 22
 
5.4%
기 18
 
4.4%
( 11
 
2.7%
로 11
 
2.7%
시 11
 
2.7%
구 11
 
2.7%
) 11
 
2.7%
동 11
 
2.7%
2 10
 
2.5%
Other values (72) 222
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
63.5%
Space Separator 68
 
16.7%
Decimal Number 47
 
11.6%
Open Punctuation 11
 
2.7%
Close Punctuation 11
 
2.7%
Other Punctuation 10
 
2.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 22
 
8.5%
기 18
 
7.0%
로 11
 
4.3%
시 11
 
4.3%
구 11
 
4.3%
동 11
 
4.3%
교 7
 
2.7%
판 7
 
2.7%
삼 6
 
2.3%
남 6
 
2.3%
Other values (57) 148
57.4%
Decimal Number
ValueCountFrequency (%)
2 10
21.3%
1 8
17.0%
5 7
14.9%
6 5
10.6%
0 4
 
8.5%
4 4
 
8.5%
9 3
 
6.4%
7 3
 
6.4%
8 2
 
4.3%
3 1
 
2.1%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
; 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
63.5%
Common 148
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 22
 
8.5%
기 18
 
7.0%
로 11
 
4.3%
시 11
 
4.3%
구 11
 
4.3%
동 11
 
4.3%
교 7
 
2.7%
판 7
 
2.7%
삼 6
 
2.3%
남 6
 
2.3%
Other values (57) 148
57.4%
Common
ValueCountFrequency (%)
68
45.9%
( 11
 
7.4%
) 11
 
7.4%
2 10
 
6.8%
; 10
 
6.8%
1 8
 
5.4%
5 7
 
4.7%
6 5
 
3.4%
0 4
 
2.7%
4 4
 
2.7%
Other values (5) 10
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
63.5%
ASCII 148
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
45.9%
( 11
 
7.4%
) 11
 
7.4%
2 10
 
6.8%
; 10
 
6.8%
1 8
 
5.4%
5 7
 
4.7%
6 5
 
3.4%
0 4
 
2.7%
4 4
 
2.7%
Other values (5) 10
 
6.8%
Hangul
ValueCountFrequency (%)
경 22
 
8.5%
기 18
 
7.0%
로 11
 
4.3%
시 11
 
4.3%
구 11
 
4.3%
동 11
 
4.3%
교 7
 
2.7%
판 7
 
2.7%
삼 6
 
2.3%
남 6
 
2.3%
Other values (57) 148
57.4%

행사장소도로명상세주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Memory size372.0 B
2023-12-10T22:44:44.330313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length9.875
Min length6

Characters and Unicode

Total characters79
Distinct characters46
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row제2전시장 6홀
2nd row7층 세미나실
3rd row스타트업캠퍼스 1층 컨퍼런스홈
4th row1층 기가홀
5th rowRIT 센터 202호
ValueCountFrequency (%)
1층 2
 
11.1%
202호 2
 
11.1%
제2전시장 1
 
5.6%
6홀 1
 
5.6%
7층 1
 
5.6%
세미나실 1
 
5.6%
스타트업캠퍼스 1
 
5.6%
컨퍼런스홈 1
 
5.6%
기가홀 1
 
5.6%
rit 1
 
5.6%
Other values (6) 6
33.3%
2023-12-10T22:44:45.012608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
12.7%
2 6
 
7.6%
층 5
 
6.3%
스 3
 
3.8%
T 2
 
2.5%
R 2
 
2.5%
센 2
 
2.5%
터 2
 
2.5%
0 2
 
2.5%
호 2
 
2.5%
Other values (36) 43
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
63.3%
Decimal Number 13
 
16.5%
Space Separator 10
 
12.7%
Uppercase Letter 6
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
0 2
 
15.4%
1 2
 
15.4%
5 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
63.3%
Common 23
29.1%
Latin 6
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%
Common
ValueCountFrequency (%)
10
43.5%
2 6
26.1%
0 2
 
8.7%
1 2
 
8.7%
5 1
 
4.3%
6 1
 
4.3%
7 1
 
4.3%
Latin
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
63.3%
ASCII 29
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
34.5%
2 6
20.7%
T 2
 
6.9%
R 2
 
6.9%
0 2
 
6.9%
1 2
 
6.9%
I 2
 
6.9%
5 1
 
3.4%
6 1
 
3.4%
7 1
 
3.4%
Hangul
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%

행사장소지번주소
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
19 
경기 성남시 분당구 *** ***
6 
경기 안산시 상록구 ** *******
2 
경기 고양시 일산서구 *** ****
 
1
경기 수원시 영통구 *** *****
 
1

Length

Max length22
Median length1
Mean length7.9333333
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
19
63.3%
경기 성남시 분당구 *** *** 6
 
20.0%
경기 안산시 상록구 ** ******* 2
 
6.7%
경기 고양시 일산서구 *** **** 1
 
3.3%
경기 수원시 영통구 *** ***** 1
 
3.3%
경기 수원시 팔달구 *** *** 1
 
3.3%

Length

2023-12-10T22:44:45.325543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:45.495516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
40.0%
경기 11
20.0%
성남시 6
 
10.9%
분당구 6
 
10.9%
안산시 2
 
3.6%
상록구 2
 
3.6%
수원시 2
 
3.6%
고양시 1
 
1.8%
일산서구 1
 
1.8%
영통구 1
 
1.8%

행사장소지번상세주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Memory size372.0 B
2023-12-10T22:44:45.785923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length9.875
Min length6

Characters and Unicode

Total characters79
Distinct characters46
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row제2전시장 6홀
2nd row7층 세미나실
3rd row스타트업캠퍼스 1층 컨퍼런스홈
4th row1층 기가홀
5th rowRIT 센터 202호
ValueCountFrequency (%)
1층 2
 
11.1%
202호 2
 
11.1%
제2전시장 1
 
5.6%
6홀 1
 
5.6%
7층 1
 
5.6%
세미나실 1
 
5.6%
스타트업캠퍼스 1
 
5.6%
컨퍼런스홈 1
 
5.6%
기가홀 1
 
5.6%
rit 1
 
5.6%
Other values (6) 6
33.3%
2023-12-10T22:44:46.301273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
12.7%
2 6
 
7.6%
층 5
 
6.3%
스 3
 
3.8%
T 2
 
2.5%
R 2
 
2.5%
센 2
 
2.5%
터 2
 
2.5%
0 2
 
2.5%
호 2
 
2.5%
Other values (36) 43
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
63.3%
Decimal Number 13
 
16.5%
Space Separator 10
 
12.7%
Uppercase Letter 6
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
0 2
 
15.4%
1 2
 
15.4%
5 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
63.3%
Common 23
29.1%
Latin 6
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%
Common
ValueCountFrequency (%)
10
43.5%
2 6
26.1%
0 2
 
8.7%
1 2
 
8.7%
5 1
 
4.3%
6 1
 
4.3%
7 1
 
4.3%
Latin
ValueCountFrequency (%)
T 2
33.3%
R 2
33.3%
I 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
63.3%
ASCII 29
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
34.5%
2 6
20.7%
T 2
 
6.9%
R 2
 
6.9%
0 2
 
6.9%
1 2
 
6.9%
I 2
 
6.9%
5 1
 
3.4%
6 1
 
3.4%
7 1
 
3.4%
Hangul
ValueCountFrequency (%)
층 5
 
10.0%
스 3
 
6.0%
센 2
 
4.0%
터 2
 
4.0%
호 2
 
4.0%
퍼 2
 
4.0%
제 2
 
4.0%
이 2
 
4.0%
홀 2
 
4.0%
장 2
 
4.0%
Other values (26) 26
52.0%

행사장소위도
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)63.6%
Missing19
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean37.3816
Minimum37.254486
Maximum37.664696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:46.556117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.254486
5-th percentile37.270867
Q137.290872
median37.400322
Q337.401922
95-th percentile37.534658
Maximum37.664696
Range0.4102105
Interquartile range (IQR)0.11104945

Descriptive statistics

Standard deviation0.11139093
Coefficient of variation (CV)0.0029798331
Kurtosis4.049666
Mean37.3816
Median Absolute Deviation (MAD)0.0042988
Skewness1.6226586
Sum411.1976
Variance0.012407939
MonotonicityNot monotonic
2023-12-10T22:44:46.928856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
37.4003219 4
 
13.3%
37.2908721 2
 
6.7%
37.664696 1
 
3.3%
37.4035212 1
 
3.3%
37.2544855 1
 
3.3%
37.4046207 1
 
3.3%
37.2872479 1
 
3.3%
(Missing) 19
63.3%
ValueCountFrequency (%)
37.2544855 1
 
3.3%
37.2872479 1
 
3.3%
37.2908721 2
6.7%
37.4003219 4
13.3%
37.4035212 1
 
3.3%
37.4046207 1
 
3.3%
37.664696 1
 
3.3%
ValueCountFrequency (%)
37.664696 1
 
3.3%
37.4046207 1
 
3.3%
37.4035212 1
 
3.3%
37.4003219 4
13.3%
37.2908721 2
6.7%
37.2872479 1
 
3.3%
37.2544855 1
 
3.3%

행사장소경도
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)63.6%
Missing19
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean127.01305
Minimum126.74206
Maximum127.10608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:47.175708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74206
5-th percentile126.78603
Q1126.93251
median127.10488
Q3127.10488
95-th percentile127.10594
Maximum127.10608
Range0.3640141
Interquartile range (IQR)0.17236845

Descriptive statistics

Standard deviation0.1399132
Coefficient of variation (CV)0.0011015656
Kurtosis-0.29833356
Mean127.01305
Median Absolute Deviation (MAD)0.0012016
Skewness-1.2144303
Sum1397.1435
Variance0.019575705
MonotonicityNot monotonic
2023-12-10T22:44:47.390725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
127.1048758 4
 
13.3%
126.8300017 2
 
6.7%
126.7420633 1
 
3.3%
127.1060774 1
 
3.3%
127.075023 1
 
3.3%
127.1058124 1
 
3.3%
127.035013 1
 
3.3%
(Missing) 19
63.3%
ValueCountFrequency (%)
126.7420633 1
 
3.3%
126.8300017 2
6.7%
127.035013 1
 
3.3%
127.075023 1
 
3.3%
127.1048758 4
13.3%
127.1058124 1
 
3.3%
127.1060774 1
 
3.3%
ValueCountFrequency (%)
127.1060774 1
 
3.3%
127.1058124 1
 
3.3%
127.1048758 4
13.3%
127.075023 1
 
3.3%
127.035013 1
 
3.3%
126.8300017 2
6.7%
126.7420633 1
 
3.3%

행사장소법정동코드
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
19 
4113510900
6 
4127110300
2 
4128710400
 
1
4111710500
 
1

Length

Max length10
Median length4
Mean length6.2
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
63.3%
4113510900 6
 
20.0%
4127110300 2
 
6.7%
4128710400 1
 
3.3%
4111710500 1
 
3.3%
4111514000 1
 
3.3%

Length

2023-12-10T22:44:47.662052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:47.839065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
63.3%
4113510900 6
 
20.0%
4127110300 2
 
6.7%
4128710400 1
 
3.3%
4111710500 1
 
3.3%
4111514000 1
 
3.3%

특화대상명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

분류1명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
인턴십
11 
<NA>
7 
경진대회
5 
채용박람회ㆍ취업설명회
3 
서포터즈
3 

Length

Max length11
Median length7.5
Mean length4.3
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
인턴십 11
36.7%
<NA> 7
23.3%
경진대회 5
16.7%
채용박람회ㆍ취업설명회 3
 
10.0%
서포터즈 3
 
10.0%
공모전 1
 
3.3%

Length

2023-12-10T22:44:48.051346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:48.246313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인턴십 11
36.7%
na 7
23.3%
경진대회 5
16.7%
채용박람회ㆍ취업설명회 3
 
10.0%
서포터즈 3
 
10.0%
공모전 1
 
3.3%

분류2명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

분류3명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

신분류1명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

신분류2명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

채용박람회여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T22:44:48.415339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일자리버스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T22:44:48.543254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

태그명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing9
Missing (%)30.0%
Memory size372.0 B
2023-12-10T22:44:48.881526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length25
Mean length25.238095
Min length6

Characters and Unicode

Total characters530
Distinct characters164
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

Unique21 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd row태그....
3rd row&amp;#35;호주유학박람회 &amp;#35;호주어학연수박람회 &amp;#35;호주영주권유학박람회 &amp;#35;호주대학교박람회 &amp;#35;호주워킹홀리데이박람회
4th row#전시#3D#스타트업경진대회#컨퍼런스
5th row#스타트업#경기콘텐츠진흥원#투자유치#인도네시아#동남아시아
ValueCountFrequency (%)
12@kr.kr 1
 
3.8%
태그 1
 
3.8%
성남#성남시민#성남시#성남시민정책참여단#시민정책참여단 1
 
3.8%
수원#연우시#핸달드#우쿨렐레#수원우쿨렐레 1
 
3.8%
댄스#핸달트#수원#연우시#재즈댄스 1
 
3.8%
음악#핸달트#수원#연우시#국악 1
 
3.8%
퍼실리테이션#퍼실리테이터#퍼실리테이터양성과정#인팩트러닝 1
 
3.8%
창조오디션#스포츠산업#스포츠산업창조오디션#오디션#스포츠 1
 
3.8%
박람회#전시#소재부품#킨텍스#산업전 1
 
3.8%
청춘#예술#art#취향#일상 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T22:44:49.661227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 87
 
16.4%
시 12
 
2.3%
스 11
 
2.1%
업 11
 
2.1%
; 10
 
1.9%
3 9
 
1.7%
원 9
 
1.7%
수 8
 
1.5%
회 7
 
1.3%
트 7
 
1.3%
Other values (154) 359
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
64.0%
Other Punctuation 108
 
20.4%
Uppercase Letter 30
 
5.7%
Lowercase Letter 28
 
5.3%
Decimal Number 20
 
3.8%
Space Separator 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
 
3.5%
스 11
 
3.2%
업 11
 
3.2%
원 9
 
2.7%
수 8
 
2.4%
회 7
 
2.1%
트 7
 
2.1%
우 6
 
1.8%
주 6
 
1.8%
박 6
 
1.8%
Other values (119) 256
75.5%
Uppercase Letter
ValueCountFrequency (%)
T 4
13.3%
D 4
13.3%
P 4
13.3%
O 3
10.0%
A 3
10.0%
R 3
10.0%
K 2
6.7%
U 2
6.7%
I 1
 
3.3%
F 1
 
3.3%
Other values (3) 3
10.0%
Lowercase Letter
ValueCountFrequency (%)
p 6
21.4%
a 6
21.4%
m 5
17.9%
t 3
10.7%
o 2
 
7.1%
n 2
 
7.1%
r 1
 
3.6%
i 1
 
3.6%
y 1
 
3.6%
h 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
3 9
45.0%
5 5
25.0%
0 2
 
10.0%
2 2
 
10.0%
1 1
 
5.0%
4 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
# 87
80.6%
; 10
 
9.3%
& 5
 
4.6%
. 5
 
4.6%
@ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
64.0%
Common 133
 
25.1%
Latin 58
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
 
3.5%
스 11
 
3.2%
업 11
 
3.2%
원 9
 
2.7%
수 8
 
2.4%
회 7
 
2.1%
트 7
 
2.1%
우 6
 
1.8%
주 6
 
1.8%
박 6
 
1.8%
Other values (119) 256
75.5%
Latin
ValueCountFrequency (%)
p 6
 
10.3%
a 6
 
10.3%
m 5
 
8.6%
T 4
 
6.9%
D 4
 
6.9%
P 4
 
6.9%
O 3
 
5.2%
A 3
 
5.2%
t 3
 
5.2%
R 3
 
5.2%
Other values (13) 17
29.3%
Common
ValueCountFrequency (%)
# 87
65.4%
; 10
 
7.5%
3 9
 
6.8%
& 5
 
3.8%
. 5
 
3.8%
5
 
3.8%
5 5
 
3.8%
0 2
 
1.5%
2 2
 
1.5%
1 1
 
0.8%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
64.0%
ASCII 191
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 87
45.5%
; 10
 
5.2%
3 9
 
4.7%
p 6
 
3.1%
a 6
 
3.1%
m 5
 
2.6%
& 5
 
2.6%
. 5
 
2.6%
5
 
2.6%
5 5
 
2.6%
Other values (25) 48
25.1%
Hangul
ValueCountFrequency (%)
시 12
 
3.5%
스 11
 
3.2%
업 11
 
3.2%
원 9
 
2.7%
수 8
 
2.4%
회 7
 
2.1%
트 7
 
2.1%
우 6
 
1.8%
주 6
 
1.8%
박 6
 
1.8%
Other values (119) 256
75.5%

행사요약인원명
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)57.1%
Missing9
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean141.52381
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:49.919579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q120
median40
Q3100
95-th percentile500
Maximum1000
Range999
Interquartile range (IQR)80

Descriptive statistics

Standard deviation246.24675
Coefficient of variation (CV)1.7399669
Kurtosis7.1369751
Mean141.52381
Median Absolute Deviation (MAD)28
Skewness2.6133992
Sum2972
Variance60637.462
MonotonicityNot monotonic
2023-12-10T22:44:50.129857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12 3
 
10.0%
100 3
 
10.0%
50 3
 
10.0%
30 3
 
10.0%
500 2
 
6.7%
1 1
 
3.3%
20 1
 
3.3%
25 1
 
3.3%
40 1
 
3.3%
300 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 9
30.0%
ValueCountFrequency (%)
1 1
 
3.3%
10 1
 
3.3%
12 3
10.0%
20 1
 
3.3%
25 1
 
3.3%
30 3
10.0%
40 1
 
3.3%
50 3
10.0%
100 3
10.0%
300 1
 
3.3%
ValueCountFrequency (%)
1000 1
 
3.3%
500 2
6.7%
300 1
 
3.3%
100 3
10.0%
50 3
10.0%
40 1
 
3.3%
30 3
10.0%
25 1
 
3.3%
20 1
 
3.3%
12 3
10.0%

행사요약비용
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean83086.538
Minimum0
Maximum890000
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:50.295844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360000
95-th percentile398000
Maximum890000
Range890000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation244004.13
Coefficient of variation (CV)2.9367468
Kurtosis12.579269
Mean83086.538
Median Absolute Deviation (MAD)0
Skewness3.5265519
Sum1080125
Variance5.9538014 × 1010
MonotonicityNot monotonic
2023-12-10T22:44:50.451713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 7
23.3%
60000 2
 
6.7%
123 1
 
3.3%
2 1
 
3.3%
70000 1
 
3.3%
890000 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
0 7
23.3%
2 1
 
3.3%
123 1
 
3.3%
60000 2
 
6.7%
70000 1
 
3.3%
890000 1
 
3.3%
ValueCountFrequency (%)
890000 1
 
3.3%
70000 1
 
3.3%
60000 2
 
6.7%
123 1
 
3.3%
2 1
 
3.3%
0 7
23.3%

행사요약접수방법명
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing14
Missing (%)46.7%
Memory size372.0 B
2023-12-10T22:44:50.742622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length32.4375
Min length1

Characters and Unicode

Total characters519
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

Unique16 ?
Unique (%)100.0%

Sample

1st row123
2nd row3
3rd rowwww.uhakevent.com
4th row온라인접수(http://www.inside3dprinting.co.kr/2017/)
5th row온라인접수 (http://onoffmix.com/event/96180)
ValueCountFrequency (%)
온라인접수 3
 
12.5%
온라인접수(http://onoffmix.com/event/96061 1
 
4.2%
온라인접수(http://onoffmix.com/event/96313 1
 
4.2%
http://onoffmix.com/event/94748 1
 
4.2%
현장접수 1
 
4.2%
또는 1
 
4.2%
이메일 1
 
4.2%
접수 1
 
4.2%
온오프믹스 1
 
4.2%
온라인접수(http://onoffmix.com/event/95630 1
 
4.2%
Other values (12) 12
50.0%
2023-12-10T22:44:51.222534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 44
 
8.5%
t 33
 
6.4%
o 32
 
6.2%
m 24
 
4.6%
n 23
 
4.4%
e 21
 
4.0%
f 19
 
3.7%
p 17
 
3.3%
. 15
 
2.9%
i 13
 
2.5%
Other values (60) 278
53.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 255
49.1%
Other Punctuation 85
 
16.4%
Other Letter 79
 
15.2%
Decimal Number 65
 
12.5%
Open Punctuation 10
 
1.9%
Close Punctuation 10
 
1.9%
Space Separator 8
 
1.5%
Uppercase Letter 7
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 33
12.9%
o 32
12.5%
m 24
9.4%
n 23
9.0%
e 21
8.2%
f 19
 
7.5%
p 17
 
6.7%
i 13
 
5.1%
c 12
 
4.7%
h 12
 
4.7%
Other values (13) 49
19.2%
Other Letter
ValueCountFrequency (%)
온 12
15.2%
수 12
15.2%
접 12
15.2%
인 10
12.7%
라 10
12.7%
이 2
 
2.5%
에 2
 
2.5%
스 2
 
2.5%
믹 2
 
2.5%
프 2
 
2.5%
Other values (12) 13
16.5%
Decimal Number
ValueCountFrequency (%)
3 12
18.5%
9 12
18.5%
6 8
12.3%
5 7
10.8%
1 6
9.2%
7 5
7.7%
0 5
7.7%
4 5
7.7%
8 3
 
4.6%
2 2
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 44
51.8%
. 15
 
17.6%
: 11
 
12.9%
; 9
 
10.6%
& 4
 
4.7%
# 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
R 2
28.6%
X 1
14.3%
G 1
14.3%
P 1
14.3%
T 1
14.3%
L 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 262
50.5%
Common 178
34.3%
Hangul 79
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 33
12.6%
o 32
12.2%
m 24
9.2%
n 23
8.8%
e 21
 
8.0%
f 19
 
7.3%
p 17
 
6.5%
i 13
 
5.0%
c 12
 
4.6%
h 12
 
4.6%
Other values (19) 56
21.4%
Hangul
ValueCountFrequency (%)
온 12
15.2%
수 12
15.2%
접 12
15.2%
인 10
12.7%
라 10
12.7%
이 2
 
2.5%
에 2
 
2.5%
스 2
 
2.5%
믹 2
 
2.5%
프 2
 
2.5%
Other values (12) 13
16.5%
Common
ValueCountFrequency (%)
/ 44
24.7%
. 15
 
8.4%
3 12
 
6.7%
9 12
 
6.7%
: 11
 
6.2%
( 10
 
5.6%
) 10
 
5.6%
; 9
 
5.1%
8
 
4.5%
6 8
 
4.5%
Other values (9) 39
21.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
84.8%
Hangul 79
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 44
 
10.0%
t 33
 
7.5%
o 32
 
7.3%
m 24
 
5.5%
n 23
 
5.2%
e 21
 
4.8%
f 19
 
4.3%
p 17
 
3.9%
. 15
 
3.4%
i 13
 
3.0%
Other values (38) 199
45.2%
Hangul
ValueCountFrequency (%)
온 12
15.2%
수 12
15.2%
접 12
15.2%
인 10
12.7%
라 10
12.7%
이 2
 
2.5%
에 2
 
2.5%
스 2
 
2.5%
믹 2
 
2.5%
프 2
 
2.5%
Other values (12) 13
16.5%

행사요약대상명
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing18
Missing (%)60.0%
Memory size372.0 B
2023-12-10T22:44:51.556359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29.5
Mean length22.333333
Min length1

Characters and Unicode

Total characters268
Distinct characters96
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)83.3%

Sample

1st row123
2nd row4
3rd row호주유학; 어학연수에 관심있는 누구나
4th row스타트업업계 종사자 및 투자유치에 관심있는 모든 분들
5th row문화콘텐츠 분야 창업을 준비 중인 경기도 내 청년층 예비비창업자
ValueCountFrequency (%)
예비창업자 3
 
4.5%
또는 3
 
4.5%
재직자 2
 
3.0%
대학(원)생등 2
 
3.0%
3d 2
 
3.0%
프린팅 2
 
3.0%
기술 2
 
3.0%
활용 2
 
3.0%
희망자 2
 
3.0%
및 2
 
3.0%
Other values (42) 45
67.2%
2023-12-10T22:44:52.155772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
22.0%
; 13
 
4.9%
업 13
 
4.9%
자 12
 
4.5%
기 7
 
2.6%
창 7
 
2.6%
는 6
 
2.2%
비 6
 
2.2%
학 5
 
1.9%
직 5
 
1.9%
Other values (86) 135
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
68.3%
Space Separator 59
 
22.0%
Other Punctuation 13
 
4.9%
Decimal Number 7
 
2.6%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 13
 
7.1%
자 12
 
6.6%
기 7
 
3.8%
창 7
 
3.8%
는 6
 
3.3%
비 6
 
3.3%
학 5
 
2.7%
직 5
 
2.7%
인 4
 
2.2%
예 4
 
2.2%
Other values (76) 114
62.3%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
7 1
 
14.3%
1 1
 
14.3%
2 1
 
14.3%
4 1
 
14.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Other Punctuation
ValueCountFrequency (%)
; 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
68.3%
Common 83
31.0%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 13
 
7.1%
자 12
 
6.6%
기 7
 
3.8%
창 7
 
3.8%
는 6
 
3.3%
비 6
 
3.3%
학 5
 
2.7%
직 5
 
2.7%
인 4
 
2.2%
예 4
 
2.2%
Other values (76) 114
62.3%
Common
ValueCountFrequency (%)
59
71.1%
; 13
 
15.7%
3 3
 
3.6%
( 2
 
2.4%
) 2
 
2.4%
7 1
 
1.2%
1 1
 
1.2%
2 1
 
1.2%
4 1
 
1.2%
Latin
ValueCountFrequency (%)
D 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
68.3%
ASCII 85
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
69.4%
; 13
 
15.3%
3 3
 
3.5%
( 2
 
2.4%
) 2
 
2.4%
D 2
 
2.4%
7 1
 
1.2%
1 1
 
1.2%
2 1
 
1.2%
4 1
 
1.2%
Hangul
ValueCountFrequency (%)
업 13
 
7.1%
자 12
 
6.6%
기 7
 
3.8%
창 7
 
3.8%
는 6
 
3.3%
비 6
 
3.3%
학 5
 
2.7%
직 5
 
2.7%
인 4
 
2.2%
예 4
 
2.2%
Other values (76) 114
62.3%

행사내용
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing15
Missing (%)50.0%
Memory size372.0 B
2023-12-10T22:44:52.553597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length479
Median length318
Mean length282.93333
Min length48

Characters and Unicode

Total characters4244
Distinct characters290
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowㅇ 행사일시 :&nbsp;6월 28일(수); 29일(목) 10:00 - 18:00 / 6월 30일(금) 10:00 - 17:00||ㅇ 행사신청 :&nbsp;http://www.inside3dprinting.co.kr/2017/ (온라인 or&nbsp;현장등록)||ㅇ 장소 : 킨텍스 제2전시장 6홀 (경기도 고양시 일산서구 한류월드로 408)&nbsp;||ㅇ 문의처 : inside3dprinting@kintex.com/ 031-995-8074(8040)||&nbsp;|||
2nd rowㅇ 접수기간 : 2017년 3월 31일 17시 ~ 4월 14일 11시30분||ㅇ 행사일정&nbsp;: 2017년 4월 14일 14시~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/96180)||ㅇ 장소 : 경기창조경제혁신센터 7층 세미나실&nbsp;||ㅇ 내용 : 동남아시아 스타트업 시장 세미나 등&nbsp;||ㅇ 주최 / 주관 : 경기콘텐츠진흥원||ㅇ 문의처 : nexeedmentoring2017@gmail.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96180)|
3rd rowㅇ 접수기간 : 2017년 3월 24일 19시 ~ 5월 11일 15시30분||ㅇ 행사일정 : 2017년 5월 14일 10시 ~ 18시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/95475)||ㅇ 장소 : 스타트업캠퍼스 1층 컨퍼런스홈||ㅇ 내용 :&nbsp;|&nbsp;- &nbsp;선수트레이닝에 필요한 기본적인 기능해부학 및 운동역학||&nbsp;- &nbsp;어깨 충동증후군의 손상평가 및 재활 등||ㅇ 문의처 : 주식회사 피트 010-9662-9177&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/95475)|
4th rowㅇ 행사일정 : 2017년 4월 26일 19시30분 ~ 21시30분&nbsp;||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/95779)||ㅇ 장소 : 경기창조경제혁신센터 1층 기가홀||ㅇ 내용 :&nbsp;|&nbsp;- photon 소개||&nbsp;-Unity를 사용한 개발실습 등||ㅇ 주최 / 주관 : Photon 운영국 / Ncloud24; 가천대학교 게임대학원||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;http://onoffmix.com/event/95779|
5th rowㅇ 접수기간 : 2017년&nbsp;3월 30일 22시30분 ~ 4월 21일 18시30분||ㅇ 행사일정 :&nbsp;2017년 4월 21일 19시 ~ 21시||ㅇ 접수방법 : 온라인접수(http://onoffmix.com/event/96061)&nbsp;||ㅇ 장소 : 모이자 수원본점||ㅇ 내용 :&nbsp;합격 자소서 대비 취업특강||ㅇ 주최 / 주관 :&nbsp;모이자 수원본점||ㅇ 문의처 :&nbsp;카카오톡 business05&nbsp;||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96061)|
ValueCountFrequency (%)
87
 
15.5%
4월 16
 
2.8%
ㅇ 11
 
2.0%
2017년 11
 
2.0%
장소 11
 
2.0%
접수방법 10
 
1.8%
보러가기 10
 
1.8%
내용 10
 
1.8%
자세히 10
 
1.8%
문의처 9
 
1.6%
Other values (284) 378
67.1%
2023-12-10T22:44:53.116733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
 
13.1%
| 180
 
4.2%
n 144
 
3.4%
; 132
 
3.1%
0 122
 
2.9%
p 120
 
2.8%
: 106
 
2.5%
1 103
 
2.4%
/ 103
 
2.4%
s 96
 
2.3%
Other values (280) 2582
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1273
30.0%
Lowercase Letter 964
22.7%
Decimal Number 579
13.6%
Space Separator 556
13.1%
Other Punctuation 487
 
11.5%
Math Symbol 205
 
4.8%
Uppercase Letter 78
 
1.8%
Dash Punctuation 35
 
0.8%
Close Punctuation 34
 
0.8%
Open Punctuation 32
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 79
 
6.2%
일 52
 
4.1%
기 51
 
4.0%
시 50
 
3.9%
월 39
 
3.1%
수 38
 
3.0%
경 31
 
2.4%
접 29
 
2.3%
주 22
 
1.7%
년 22
 
1.7%
Other values (208) 860
67.6%
Lowercase Letter
ValueCountFrequency (%)
n 144
14.9%
p 120
12.4%
s 96
10.0%
b 90
9.3%
o 77
8.0%
t 71
 
7.4%
e 51
 
5.3%
m 51
 
5.3%
f 39
 
4.0%
i 38
 
3.9%
Other values (15) 187
19.4%
Uppercase Letter
ValueCountFrequency (%)
A 10
12.8%
T 8
10.3%
B 7
9.0%
R 7
9.0%
P 6
 
7.7%
D 5
 
6.4%
C 5
 
6.4%
E 5
 
6.4%
I 5
 
6.4%
O 4
 
5.1%
Other values (10) 16
20.5%
Decimal Number
ValueCountFrequency (%)
0 122
21.1%
1 103
17.8%
2 60
10.4%
3 55
9.5%
7 54
9.3%
4 53
9.2%
9 39
 
6.7%
6 38
 
6.6%
5 28
 
4.8%
8 27
 
4.7%
Other Punctuation
ValueCountFrequency (%)
; 132
27.1%
: 106
21.8%
/ 103
21.1%
& 92
18.9%
. 34
 
7.0%
% 12
 
2.5%
@ 5
 
1.0%
* 2
 
0.4%
? 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
| 180
87.8%
~ 20
 
9.8%
= 5
 
2.4%
Space Separator
ValueCountFrequency (%)
556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1929
45.5%
Hangul 1273
30.0%
Latin 1042
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 79
 
6.2%
일 52
 
4.1%
기 51
 
4.0%
시 50
 
3.9%
월 39
 
3.1%
수 38
 
3.0%
경 31
 
2.4%
접 29
 
2.3%
주 22
 
1.7%
년 22
 
1.7%
Other values (208) 860
67.6%
Latin
ValueCountFrequency (%)
n 144
13.8%
p 120
11.5%
s 96
 
9.2%
b 90
 
8.6%
o 77
 
7.4%
t 71
 
6.8%
e 51
 
4.9%
m 51
 
4.9%
f 39
 
3.7%
i 38
 
3.6%
Other values (35) 265
25.4%
Common
ValueCountFrequency (%)
556
28.8%
| 180
 
9.3%
; 132
 
6.8%
0 122
 
6.3%
: 106
 
5.5%
1 103
 
5.3%
/ 103
 
5.3%
& 92
 
4.8%
2 60
 
3.1%
3 55
 
2.9%
Other values (17) 420
21.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2971
70.0%
Hangul 1194
28.1%
Compat Jamo 79
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
556
18.7%
| 180
 
6.1%
n 144
 
4.8%
; 132
 
4.4%
0 122
 
4.1%
p 120
 
4.0%
: 106
 
3.6%
1 103
 
3.5%
/ 103
 
3.5%
s 96
 
3.2%
Other values (62) 1309
44.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 79
100.0%
Hangul
ValueCountFrequency (%)
일 52
 
4.4%
기 51
 
4.3%
시 50
 
4.2%
월 39
 
3.3%
수 38
 
3.2%
경 31
 
2.6%
접 29
 
2.4%
주 22
 
1.8%
년 22
 
1.8%
장 21
 
1.8%
Other values (207) 839
70.3%

행사기관공간정보번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:44:53.327068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:53.485084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

행사기관명
Text

MISSING 

Distinct22
Distinct (%)75.9%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-10T22:44:53.747470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.1724138
Min length3

Characters and Unicode

Total characters208
Distinct characters102
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

Unique18 ?
Unique (%)62.1%

Sample

1st row12@KR.KR
2nd row123
3rd row111
4th row운영서버 첨부파일 테스트
5th row주최기관1
ValueCountFrequency (%)
핸달트 4
 
11.8%
경기창조경제혁신센터 3
 
8.8%
킨텍스 2
 
5.9%
경기테크노파크 2
 
5.9%
경기콘텐츠진흥원 1
 
2.9%
12@kr.kr 1
 
2.9%
수원본점 1
 
2.9%
모이자 1
 
2.9%
러닝 1
 
2.9%
주)인팩트 1
 
2.9%
Other values (17) 17
50.0%
2023-12-10T22:44:54.317735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 12
 
5.8%
기 10
 
4.8%
트 7
 
3.4%
1 6
 
2.9%
5
 
2.4%
핸 4
 
1.9%
크 4
 
1.9%
이 4
 
1.9%
테 4
 
1.9%
달 4
 
1.9%
Other values (92) 148
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
76.4%
Uppercase Letter 16
 
7.7%
Lowercase Letter 11
 
5.3%
Decimal Number 9
 
4.3%
Space Separator 5
 
2.4%
Close Punctuation 3
 
1.4%
Open Punctuation 3
 
1.4%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 12
 
7.5%
기 10
 
6.3%
트 7
 
4.4%
핸 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
테 4
 
2.5%
달 4
 
2.5%
스 4
 
2.5%
재 4
 
2.5%
Other values (66) 102
64.2%
Uppercase Letter
ValueCountFrequency (%)
K 3
18.8%
R 2
12.5%
T 2
12.5%
A 2
12.5%
S 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
O 1
 
6.2%
N 1
 
6.2%
H 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
d 2
18.2%
a 2
18.2%
o 2
18.2%
h 1
9.1%
t 1
9.1%
n 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 6
66.7%
2 2
 
22.2%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
76.4%
Latin 27
 
13.0%
Common 22
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 12
 
7.5%
기 10
 
6.3%
트 7
 
4.4%
핸 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
테 4
 
2.5%
달 4
 
2.5%
스 4
 
2.5%
재 4
 
2.5%
Other values (66) 102
64.2%
Latin
ValueCountFrequency (%)
K 3
 
11.1%
s 2
 
7.4%
d 2
 
7.4%
R 2
 
7.4%
T 2
 
7.4%
a 2
 
7.4%
A 2
 
7.4%
o 2
 
7.4%
S 1
 
3.7%
P 1
 
3.7%
Other values (8) 8
29.6%
Common
ValueCountFrequency (%)
1 6
27.3%
5
22.7%
) 3
13.6%
( 3
13.6%
2 2
 
9.1%
@ 1
 
4.5%
. 1
 
4.5%
3 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
76.4%
ASCII 49
 
23.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 12
 
7.5%
기 10
 
6.3%
트 7
 
4.4%
핸 4
 
2.5%
크 4
 
2.5%
이 4
 
2.5%
테 4
 
2.5%
달 4
 
2.5%
스 4
 
2.5%
재 4
 
2.5%
Other values (66) 102
64.2%
ASCII
ValueCountFrequency (%)
1 6
 
12.2%
5
 
10.2%
) 3
 
6.1%
( 3
 
6.1%
K 3
 
6.1%
2 2
 
4.1%
s 2
 
4.1%
d 2
 
4.1%
R 2
 
4.1%
T 2
 
4.1%
Other values (16) 19
38.8%

행사기관우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)63.6%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean13714
Minimum6615
Maximum16704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:44:54.536041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6615
5-th percentile7931.4
Q113487
median14055.5
Q316069.5
95-th percentile16305
Maximum16704
Range10089
Interquartile range (IQR)2582.5

Descriptive statistics

Standard deviation2761.2412
Coefficient of variation (CV)0.2013447
Kurtosis1.2459545
Mean13714
Median Absolute Deviation (MAD)1573.5
Skewness-1.2770393
Sum301708
Variance7624452.8
MonotonicityNot monotonic
2023-12-10T22:44:54.738287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
13487 4
13.3%
16305 4
13.3%
10390 2
 
6.7%
15588 2
 
6.7%
12441 1
 
3.3%
7802 1
 
3.3%
6615 1
 
3.3%
16704 1
 
3.3%
14557 1
 
3.3%
14055 1
 
3.3%
Other values (4) 4
13.3%
(Missing) 8
26.7%
ValueCountFrequency (%)
6615 1
 
3.3%
7802 1
 
3.3%
10390 2
6.7%
12441 1
 
3.3%
13487 4
13.3%
13558 1
 
3.3%
14055 1
 
3.3%
14056 1
 
3.3%
14557 1
 
3.3%
14566 1
 
3.3%
ValueCountFrequency (%)
16704 1
 
3.3%
16305 4
13.3%
16230 1
 
3.3%
15588 2
6.7%
14566 1
 
3.3%
14557 1
 
3.3%
14056 1
 
3.3%
14055 1
 
3.3%
13558 1
 
3.3%
13487 4
13.3%

행사기관도로명주소
Text

MISSING 

Distinct14
Distinct (%)63.6%
Missing8
Missing (%)26.7%
Memory size372.0 B
2023-12-10T22:44:55.097439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length32.636364
Min length14

Characters and Unicode

Total characters718
Distinct characters107
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

Unique10 ?
Unique (%)45.5%

Sample

1st row경기 가평군 상면 청군로 2088-15
2nd row서울 강서구 마곡동로 61
3rd row서울 서초구 강남대로61길 3 (서초동; 대승빌딩)
4th row경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)
5th row경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)
ValueCountFrequency (%)
경기 20
 
14.2%
수원시 6
 
4.3%
분당구 5
 
3.5%
성남시 5
 
3.5%
송죽동 4
 
2.8%
17 4
 
2.8%
장안구 4
 
2.8%
경수대로927번길 4
 
2.8%
경기창조경제혁신센터 4
 
2.8%
삼평동 4
 
2.8%
Other values (58) 81
57.4%
2023-12-10T22:44:55.817547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
16.6%
경 36
 
5.0%
기 28
 
3.9%
동 23
 
3.2%
1 23
 
3.2%
로 22
 
3.1%
) 20
 
2.8%
( 20
 
2.8%
시 20
 
2.8%
구 19
 
2.6%
Other values (97) 388
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
61.0%
Space Separator 119
 
16.6%
Decimal Number 98
 
13.6%
Close Punctuation 20
 
2.8%
Open Punctuation 20
 
2.8%
Other Punctuation 15
 
2.1%
Dash Punctuation 4
 
0.6%
Uppercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 36
 
8.2%
기 28
 
6.4%
동 23
 
5.3%
로 22
 
5.0%
시 20
 
4.6%
구 19
 
4.3%
대 14
 
3.2%
길 13
 
3.0%
번 12
 
2.7%
안 12
 
2.7%
Other values (80) 239
54.6%
Decimal Number
ValueCountFrequency (%)
1 23
23.5%
2 16
16.3%
7 14
14.3%
6 10
10.2%
5 7
 
7.1%
3 6
 
6.1%
0 6
 
6.1%
8 6
 
6.1%
9 5
 
5.1%
4 5
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
I 3
75.0%
T 1
 
25.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
; 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
61.0%
Common 276
38.4%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 36
 
8.2%
기 28
 
6.4%
동 23
 
5.3%
로 22
 
5.0%
시 20
 
4.6%
구 19
 
4.3%
대 14
 
3.2%
길 13
 
3.0%
번 12
 
2.7%
안 12
 
2.7%
Other values (80) 239
54.6%
Common
ValueCountFrequency (%)
119
43.1%
1 23
 
8.3%
) 20
 
7.2%
( 20
 
7.2%
2 16
 
5.8%
; 15
 
5.4%
7 14
 
5.1%
6 10
 
3.6%
5 7
 
2.5%
3 6
 
2.2%
Other values (5) 26
 
9.4%
Latin
ValueCountFrequency (%)
I 3
75.0%
T 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
61.0%
ASCII 280
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
42.5%
1 23
 
8.2%
) 20
 
7.1%
( 20
 
7.1%
2 16
 
5.7%
; 15
 
5.4%
7 14
 
5.0%
6 10
 
3.6%
5 7
 
2.5%
3 6
 
2.1%
Other values (7) 30
 
10.7%
Hangul
ValueCountFrequency (%)
경 36
 
8.2%
기 28
 
6.4%
동 23
 
5.3%
로 22
 
5.0%
시 20
 
4.6%
구 19
 
4.3%
대 14
 
3.2%
길 13
 
3.0%
번 12
 
2.7%
안 12
 
2.7%
Other values (80) 239
54.6%

행사기관도로명상세주소
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
2023-12-10T22:44:56.210436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length8
Mean length9.1428571
Min length2

Characters and Unicode

Total characters64
Distinct characters40
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd row상세주소1
3rd row6층 601호
4th row6홀
5th row5층
ValueCountFrequency (%)
12@kr.kr 1
 
7.1%
상세주소1 1
 
7.1%
6층 1
 
7.1%
601호 1
 
7.1%
6홀 1
 
7.1%
5층 1
 
7.1%
보보스프라자 1
 
7.1%
306호 1
 
7.1%
모이자 1
 
7.1%
수원본점 1
 
7.1%
Other values (4) 4
28.6%
2023-12-10T22:44:56.835102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
10.9%
6 4
 
6.2%
2 4
 
6.2%
0 3
 
4.7%
층 3
 
4.7%
1 3
 
4.7%
크 2
 
3.1%
R 2
 
3.1%
자 2
 
3.1%
K 2
 
3.1%
Other values (30) 32
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
50.0%
Decimal Number 17
26.6%
Space Separator 7
 
10.9%
Uppercase Letter 4
 
6.2%
Other Punctuation 2
 
3.1%
Close Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%
Decimal Number
ValueCountFrequency (%)
6 4
23.5%
2 4
23.5%
0 3
17.6%
1 3
17.6%
3 1
 
5.9%
5 1
 
5.9%
9 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
K 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
@ 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
50.0%
Common 28
43.8%
Latin 4
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%
Common
ValueCountFrequency (%)
7
25.0%
6 4
14.3%
2 4
14.3%
0 3
10.7%
1 3
10.7%
] 1
 
3.6%
[ 1
 
3.6%
3 1
 
3.6%
5 1
 
3.6%
. 1
 
3.6%
Other values (2) 2
 
7.1%
Latin
ValueCountFrequency (%)
R 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
50.0%
Hangul 32
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
21.9%
6 4
12.5%
2 4
12.5%
0 3
9.4%
1 3
9.4%
R 2
 
6.2%
K 2
 
6.2%
] 1
 
3.1%
[ 1
 
3.1%
3 1
 
3.1%
Other values (4) 4
12.5%
Hangul
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%

행사기관지번주소
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:44:57.040242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length14.633333
Min length1

Characters and Unicode

Total characters439
Distinct characters40
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)33.3%

Sample

1st row경기 가평군 상면 *** *****
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
40
37.7%
경기 20
18.9%
수원시 6
 
5.7%
성남시 5
 
4.7%
분당구 5
 
4.7%
장안구 4
 
3.8%
동안구 2
 
1.9%
안양시 2
 
1.9%
부천시 2
 
1.9%
서울 2
 
1.9%
Other values (14) 18
17.0%
2023-12-10T22:44:57.432105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 148
33.7%
114
26.0%
기 20
 
4.6%
경 20
 
4.6%
구 19
 
4.3%
시 19
 
4.3%
안 10
 
2.3%
서 7
 
1.6%
원 7
 
1.6%
수 6
 
1.4%
Other values (30) 69
15.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
40.3%
Other Punctuation 148
33.7%
Space Separator 114
26.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 20
 
11.3%
경 20
 
11.3%
구 19
 
10.7%
시 19
 
10.7%
안 10
 
5.6%
서 7
 
4.0%
원 7
 
4.0%
수 6
 
3.4%
동 6
 
3.4%
당 5
 
2.8%
Other values (28) 58
32.8%
Other Punctuation
ValueCountFrequency (%)
* 148
100.0%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
59.7%
Hangul 177
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 20
 
11.3%
경 20
 
11.3%
구 19
 
10.7%
시 19
 
10.7%
안 10
 
5.6%
서 7
 
4.0%
원 7
 
4.0%
수 6
 
3.4%
동 6
 
3.4%
당 5
 
2.8%
Other values (28) 58
32.8%
Common
ValueCountFrequency (%)
* 148
56.5%
114
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
59.7%
Hangul 177
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 148
56.5%
114
43.5%
Hangul
ValueCountFrequency (%)
기 20
 
11.3%
경 20
 
11.3%
구 19
 
10.7%
시 19
 
10.7%
안 10
 
5.6%
서 7
 
4.0%
원 7
 
4.0%
수 6
 
3.4%
동 6
 
3.4%
당 5
 
2.8%
Other values (28) 58
32.8%

행사기관지번상세주소
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Memory size372.0 B
2023-12-10T22:44:57.685529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length8
Mean length9.1428571
Min length2

Characters and Unicode

Total characters64
Distinct characters40
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd row상세주소1
3rd row6층 601호
4th row6홀
5th row5층
ValueCountFrequency (%)
12@kr.kr 1
 
7.1%
상세주소1 1
 
7.1%
6층 1
 
7.1%
601호 1
 
7.1%
6홀 1
 
7.1%
5층 1
 
7.1%
보보스프라자 1
 
7.1%
306호 1
 
7.1%
모이자 1
 
7.1%
수원본점 1
 
7.1%
Other values (4) 4
28.6%
2023-12-10T22:44:58.141977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
10.9%
6 4
 
6.2%
2 4
 
6.2%
0 3
 
4.7%
층 3
 
4.7%
1 3
 
4.7%
크 2
 
3.1%
R 2
 
3.1%
자 2
 
3.1%
K 2
 
3.1%
Other values (30) 32
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
50.0%
Decimal Number 17
26.6%
Space Separator 7
 
10.9%
Uppercase Letter 4
 
6.2%
Other Punctuation 2
 
3.1%
Close Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%
Decimal Number
ValueCountFrequency (%)
6 4
23.5%
2 4
23.5%
0 3
17.6%
1 3
17.6%
3 1
 
5.9%
5 1
 
5.9%
9 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
K 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
@ 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
50.0%
Common 28
43.8%
Latin 4
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%
Common
ValueCountFrequency (%)
7
25.0%
6 4
14.3%
2 4
14.3%
0 3
10.7%
1 3
10.7%
] 1
 
3.6%
[ 1
 
3.6%
3 1
 
3.6%
5 1
 
3.6%
. 1
 
3.6%
Other values (2) 2
 
7.1%
Latin
ValueCountFrequency (%)
R 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
50.0%
Hangul 32
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
21.9%
6 4
12.5%
2 4
12.5%
0 3
9.4%
1 3
9.4%
R 2
 
6.2%
K 2
 
6.2%
] 1
 
3.1%
[ 1
 
3.1%
3 1
 
3.1%
Other values (4) 4
12.5%
Hangul
ValueCountFrequency (%)
층 3
 
9.4%
크 2
 
6.2%
자 2
 
6.2%
호 2
 
6.2%
보 2
 
6.2%
파 1
 
3.1%
원 1
 
3.1%
본 1
 
3.1%
동 1
 
3.1%
점 1
 
3.1%
Other values (16) 16
50.0%

행사기관지도좌표위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

행사기관지도좌표경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

행사기관전화번호
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
16 
031-***-****
6 
031-****-****
5 
053-***-****
 
1
02-***-****
 
1

Length

Max length13
Median length4
Mean length7.8666667
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row031-****-****
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
53.3%
031-***-**** 6
 
20.0%
031-****-**** 5
 
16.7%
053-***-**** 1
 
3.3%
02-***-**** 1
 
3.3%
032-***-**** 1
 
3.3%

Length

2023-12-10T22:44:58.361485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:44:58.622661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
53.3%
031 11
36.7%
053 1
 
3.3%
02 1
 
3.3%
032 1
 
3.3%

행사기관사이트URL
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Memory size372.0 B
2023-12-10T22:44:59.033203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length23.416667
Min length8

Characters and Unicode

Total characters281
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

Unique12 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd rowBBB@naver.com
3rd rowhttp://www.uhakevent.com/html/index.php
4th rowhttp://www.inside3dprinting.co.kr/2017/
5th rowwww.fitt.kr
ValueCountFrequency (%)
12@kr.kr 1
8.3%
bbb@naver.com 1
8.3%
http://www.uhakevent.com/html/index.php 1
8.3%
http://www.inside3dprinting.co.kr/2017 1
8.3%
www.fitt.kr 1
8.3%
http://onoffmix.com/event/95779 1
8.3%
www.moizaa.com 1
8.3%
http://onoffmix.com/event/94748 1
8.3%
http://www.gtp.or.kr 1
8.3%
blog.naver.com/aca-acube 1
8.3%
Other values (2) 2
16.7%
2023-12-10T22:44:59.675286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 25
 
8.9%
t 23
 
8.2%
. 23
 
8.2%
w 18
 
6.4%
o 18
 
6.4%
n 13
 
4.6%
e 13
 
4.6%
m 12
 
4.3%
i 11
 
3.9%
p 11
 
3.9%
Other values (31) 114
40.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 194
69.0%
Other Punctuation 57
 
20.3%
Decimal Number 22
 
7.8%
Uppercase Letter 7
 
2.5%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 23
11.9%
w 18
 
9.3%
o 18
 
9.3%
n 13
 
6.7%
e 13
 
6.7%
m 12
 
6.2%
i 11
 
5.7%
p 11
 
5.7%
h 10
 
5.2%
c 10
 
5.2%
Other values (13) 55
28.4%
Decimal Number
ValueCountFrequency (%)
9 4
18.2%
7 4
18.2%
4 3
13.6%
8 2
9.1%
5 2
9.1%
1 2
9.1%
2 2
9.1%
3 1
 
4.5%
0 1
 
4.5%
6 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 25
43.9%
. 23
40.4%
: 7
 
12.3%
@ 2
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
R 2
28.6%
K 2
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 201
71.5%
Common 80
 
28.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 23
 
11.4%
w 18
 
9.0%
o 18
 
9.0%
n 13
 
6.5%
e 13
 
6.5%
m 12
 
6.0%
i 11
 
5.5%
p 11
 
5.5%
h 10
 
5.0%
c 10
 
5.0%
Other values (16) 62
30.8%
Common
ValueCountFrequency (%)
/ 25
31.2%
. 23
28.7%
: 7
 
8.8%
9 4
 
5.0%
7 4
 
5.0%
4 3
 
3.8%
8 2
 
2.5%
5 2
 
2.5%
1 2
 
2.5%
2 2
 
2.5%
Other values (5) 6
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 25
 
8.9%
t 23
 
8.2%
. 23
 
8.2%
w 18
 
6.4%
o 18
 
6.4%
n 13
 
4.6%
e 13
 
4.6%
m 12
 
4.3%
i 11
 
3.9%
p 11
 
3.9%
Other values (31) 114
40.6%

문의처공간정보번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:44:59.912668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:00.081771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

문의처명
Text

MISSING 

Distinct11
Distinct (%)78.6%
Missing16
Missing (%)53.3%
Memory size372.0 B
2023-12-10T22:45:00.335466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length6.5
Min length3

Characters and Unicode

Total characters91
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)71.4%

Sample

1st row12@KR.KR
2nd row주최기관1
3rd rowUHAKSTATION(유학스테이션)
4th row시엠아이아카데미
5th row에이큐브
ValueCountFrequency (%)
핸달트 4
26.7%
12@kr.kr 1
 
6.7%
주최기관1 1
 
6.7%
uhakstation(유학스테이션 1
 
6.7%
시엠아이아카데미 1
 
6.7%
에이큐브 1
 
6.7%
버드나무숲 1
 
6.7%
킨텍스 1
 
6.7%
경기창조경제혁신센터 1
 
6.7%
주)인팩트 1
 
6.7%
Other values (2) 2
13.3%
2023-12-10T22:45:00.827429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 5
 
5.5%
핸 4
 
4.4%
달 4
 
4.4%
이 3
 
3.3%
K 3
 
3.3%
기 2
 
2.2%
( 2
 
2.2%
) 2
 
2.2%
T 2
 
2.2%
아 2
 
2.2%
Other values (56) 62
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
72.5%
Uppercase Letter 15
 
16.5%
Decimal Number 3
 
3.3%
Open Punctuation 2
 
2.2%
Close Punctuation 2
 
2.2%
Other Punctuation 2
 
2.2%
Space Separator 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 5
 
7.6%
핸 4
 
6.1%
달 4
 
6.1%
이 3
 
4.5%
기 2
 
3.0%
아 2
 
3.0%
스 2
 
3.0%
경 2
 
3.0%
주 2
 
3.0%
센 1
 
1.5%
Other values (39) 39
59.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
20.0%
T 2
13.3%
A 2
13.3%
R 2
13.3%
N 1
 
6.7%
U 1
 
6.7%
H 1
 
6.7%
S 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
72.5%
Latin 15
 
16.5%
Common 10
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 5
 
7.6%
핸 4
 
6.1%
달 4
 
6.1%
이 3
 
4.5%
기 2
 
3.0%
아 2
 
3.0%
스 2
 
3.0%
경 2
 
3.0%
주 2
 
3.0%
센 1
 
1.5%
Other values (39) 39
59.1%
Latin
ValueCountFrequency (%)
K 3
20.0%
T 2
13.3%
A 2
13.3%
R 2
13.3%
N 1
 
6.7%
U 1
 
6.7%
H 1
 
6.7%
S 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
Common
ValueCountFrequency (%)
( 2
20.0%
) 2
20.0%
1 2
20.0%
1
10.0%
2 1
10.0%
@ 1
10.0%
. 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
72.5%
ASCII 25
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 5
 
7.6%
핸 4
 
6.1%
달 4
 
6.1%
이 3
 
4.5%
기 2
 
3.0%
아 2
 
3.0%
스 2
 
3.0%
경 2
 
3.0%
주 2
 
3.0%
센 1
 
1.5%
Other values (39) 39
59.1%
ASCII
ValueCountFrequency (%)
K 3
12.0%
( 2
 
8.0%
) 2
 
8.0%
T 2
 
8.0%
A 2
 
8.0%
R 2
 
8.0%
1 2
 
8.0%
1
 
4.0%
N 1
 
4.0%
2 1
 
4.0%
Other values (7) 7
28.0%

문의처사이트URL
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
2023-12-10T22:45:01.439508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length8
Mean length16.666667
Min length3

Characters and Unicode

Total characters50
Distinct characters28
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

Unique3 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd row사이트
3rd rowhttp://www.uhakevent.com/html/index.php
ValueCountFrequency (%)
12@kr.kr 1
33.3%
사이트 1
33.3%
http://www.uhakevent.com/html/index.php 1
33.3%
2023-12-10T22:45:01.924772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4
 
8.0%
. 4
 
8.0%
t 4
 
8.0%
h 4
 
8.0%
w 3
 
6.0%
e 3
 
6.0%
p 3
 
6.0%
n 2
 
4.0%
m 2
 
4.0%
R 2
 
4.0%
Other values (18) 19
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31
62.0%
Other Punctuation 10
 
20.0%
Uppercase Letter 4
 
8.0%
Other Letter 3
 
6.0%
Decimal Number 2
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4
12.9%
h 4
12.9%
w 3
9.7%
e 3
9.7%
p 3
9.7%
n 2
 
6.5%
m 2
 
6.5%
l 1
 
3.2%
i 1
 
3.2%
o 1
 
3.2%
Other values (7) 7
22.6%
Other Punctuation
ValueCountFrequency (%)
/ 4
40.0%
. 4
40.0%
: 1
 
10.0%
@ 1
 
10.0%
Other Letter
ValueCountFrequency (%)
트 1
33.3%
이 1
33.3%
사 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
K 2
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35
70.0%
Common 12
 
24.0%
Hangul 3
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4
11.4%
h 4
11.4%
w 3
 
8.6%
e 3
 
8.6%
p 3
 
8.6%
n 2
 
5.7%
m 2
 
5.7%
R 2
 
5.7%
K 2
 
5.7%
l 1
 
2.9%
Other values (9) 9
25.7%
Common
ValueCountFrequency (%)
/ 4
33.3%
. 4
33.3%
1 1
 
8.3%
2 1
 
8.3%
: 1
 
8.3%
@ 1
 
8.3%
Hangul
ValueCountFrequency (%)
트 1
33.3%
이 1
33.3%
사 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
94.0%
Hangul 3
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4
 
8.5%
. 4
 
8.5%
t 4
 
8.5%
h 4
 
8.5%
w 3
 
6.4%
e 3
 
6.4%
p 3
 
6.4%
n 2
 
4.3%
m 2
 
4.3%
R 2
 
4.3%
Other values (15) 16
34.0%
Hangul
ValueCountFrequency (%)
트 1
33.3%
이 1
33.3%
사 1
33.3%

문의처우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean13133.75
Minimum6615
Maximum16305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:02.119273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6615
5-th percentile7267.85
Q111914
median13806.5
Q316305
95-th percentile16305
Maximum16305
Range9690
Interquartile range (IQR)4391

Descriptive statistics

Standard deviation3319.1968
Coefficient of variation (CV)0.2527227
Kurtosis-0.038814327
Mean13133.75
Median Absolute Deviation (MAD)2498.5
Skewness-0.95564057
Sum157605
Variance11017067
MonotonicityNot monotonic
2023-12-10T22:45:02.294065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
16305 4
 
13.3%
12422 1
 
3.3%
7802 1
 
3.3%
6615 1
 
3.3%
14055 1
 
3.3%
10390 1
 
3.3%
13487 1
 
3.3%
14056 1
 
3.3%
13558 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
6615 1
 
3.3%
7802 1
 
3.3%
10390 1
 
3.3%
12422 1
 
3.3%
13487 1
 
3.3%
13558 1
 
3.3%
14055 1
 
3.3%
14056 1
 
3.3%
16305 4
13.3%
ValueCountFrequency (%)
16305 4
13.3%
14056 1
 
3.3%
14055 1
 
3.3%
13558 1
 
3.3%
13487 1
 
3.3%
12422 1
 
3.3%
10390 1
 
3.3%
7802 1
 
3.3%
6615 1
 
3.3%

문의처도로명주소
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing18
Missing (%)60.0%
Memory size372.0 B
2023-12-10T22:45:02.662497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length29.416667
Min length14

Characters and Unicode

Total characters353
Distinct characters83
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

Unique8 ?
Unique (%)66.7%

Sample

1st row경기 가평군 가평읍 달전로 70
2nd row서울 강서구 마곡동로 61
3rd row서울 서초구 강남대로61길 3 (서초동; 대승빌딩)
4th row경기 안양시 동안구 시민대로327번길 11-41 (관양동)
5th row경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)
ValueCountFrequency (%)
경기 10
 
13.7%
장안구 4
 
5.5%
경수대로927번길 4
 
5.5%
17 4
 
5.5%
송죽동 4
 
5.5%
수원시 4
 
5.5%
관양동 2
 
2.7%
서울 2
 
2.7%
동안구 2
 
2.7%
안양시 2
 
2.7%
Other values (33) 35
47.9%
2023-12-10T22:45:03.229824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
17.3%
경 16
 
4.5%
동 13
 
3.7%
로 12
 
3.4%
1 12
 
3.4%
7 11
 
3.1%
기 11
 
3.1%
구 11
 
3.1%
) 10
 
2.8%
시 10
 
2.8%
Other values (73) 186
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
60.1%
Space Separator 61
 
17.3%
Decimal Number 51
 
14.4%
Close Punctuation 10
 
2.8%
Open Punctuation 10
 
2.8%
Other Punctuation 5
 
1.4%
Dash Punctuation 2
 
0.6%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 16
 
7.5%
동 13
 
6.1%
로 12
 
5.7%
기 11
 
5.2%
구 11
 
5.2%
시 10
 
4.7%
대 10
 
4.7%
길 8
 
3.8%
안 8
 
3.8%
수 8
 
3.8%
Other values (56) 105
49.5%
Decimal Number
ValueCountFrequency (%)
1 12
23.5%
7 11
21.6%
2 9
17.6%
6 4
 
7.8%
3 4
 
7.8%
9 4
 
7.8%
8 2
 
3.9%
4 2
 
3.9%
0 2
 
3.9%
5 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
; 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
60.1%
Common 139
39.4%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 16
 
7.5%
동 13
 
6.1%
로 12
 
5.7%
기 11
 
5.2%
구 11
 
5.2%
시 10
 
4.7%
대 10
 
4.7%
길 8
 
3.8%
안 8
 
3.8%
수 8
 
3.8%
Other values (56) 105
49.5%
Common
ValueCountFrequency (%)
61
43.9%
1 12
 
8.6%
7 11
 
7.9%
) 10
 
7.2%
( 10
 
7.2%
2 9
 
6.5%
; 5
 
3.6%
6 4
 
2.9%
3 4
 
2.9%
9 4
 
2.9%
Other values (5) 9
 
6.5%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
60.1%
ASCII 141
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
43.3%
1 12
 
8.5%
7 11
 
7.8%
) 10
 
7.1%
( 10
 
7.1%
2 9
 
6.4%
; 5
 
3.5%
6 4
 
2.8%
3 4
 
2.8%
9 4
 
2.8%
Other values (7) 11
 
7.8%
Hangul
ValueCountFrequency (%)
경 16
 
7.5%
동 13
 
6.1%
로 12
 
5.7%
기 11
 
5.2%
구 11
 
5.2%
시 10
 
4.7%
대 10
 
4.7%
길 8
 
3.8%
안 8
 
3.8%
수 8
 
3.8%
Other values (56) 105
49.5%

문의처도로명상세주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
2023-12-10T22:45:03.581131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters15
Distinct characters12
Distinct categories3 ?
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 row123
2nd row상세주소1
3rd row6층 601호
ValueCountFrequency (%)
123 1
25.0%
상세주소1 1
25.0%
6층 1
25.0%
601호 1
25.0%
2023-12-10T22:45:04.085238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
20.0%
6 2
13.3%
2 1
 
6.7%
3 1
 
6.7%
상 1
 
6.7%
세 1
 
6.7%
주 1
 
6.7%
소 1
 
6.7%
층 1
 
6.7%
1
 
6.7%
Other values (2) 2
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
53.3%
Other Letter 6
40.0%
Space Separator 1
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
6 2
25.0%
2 1
 
12.5%
3 1
 
12.5%
0 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
60.0%
Hangul 6
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
33.3%
6 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
1
 
11.1%
0 1
 
11.1%
Hangul
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
60.0%
Hangul 6
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
33.3%
6 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
1
 
11.1%
0 1
 
11.1%
Hangul
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%

문의처지도좌표위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

문의처지도좌표경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

문의처지번주소
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
18 
경기 수원시 장안구 *** ******
4 
경기 가평군 가평읍 *** ***
 
1
서울 강서구 마곡동 *****
 
1
서울 서초구 서초동 ****
 
1
Other values (5)
5 

Length

Max length22
Median length1
Mean length8.5666667
Min length1

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row경기 가평군 가평읍 *** ***
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
18
60.0%
경기 수원시 장안구 *** ****** 4
 
13.3%
경기 가평군 가평읍 *** *** 1
 
3.3%
서울 강서구 마곡동 ***** 1
 
3.3%
서울 서초구 서초동 **** 1
 
3.3%
경기 안양시 동안구 *** **** 1
 
3.3%
경기 고양시 일산서구 *** **** 1
 
3.3%
경기 성남시 분당구 *** *** 1
 
3.3%
경기 안양시 동안구 *** *** 1
 
3.3%
경기 성남시 분당구 *** **** 1
 
3.3%

Length

2023-12-10T22:45:04.310404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:04.508956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
37.9%
경기 10
17.2%
수원시 4
 
6.9%
장안구 4
 
6.9%
성남시 2
 
3.4%
동안구 2
 
3.4%
안양시 2
 
3.4%
분당구 2
 
3.4%
서울 2
 
3.4%
강서구 1
 
1.7%
Other values (7) 7
 
12.1%

문의처지번상세주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
2023-12-10T22:45:04.836702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length3

Characters and Unicode

Total characters15
Distinct characters12
Distinct categories3 ?
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 row123
2nd row상세주소1
3rd row6층 601호
ValueCountFrequency (%)
123 1
25.0%
상세주소1 1
25.0%
6층 1
25.0%
601호 1
25.0%
2023-12-10T22:45:05.369131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
20.0%
6 2
13.3%
2 1
 
6.7%
3 1
 
6.7%
상 1
 
6.7%
세 1
 
6.7%
주 1
 
6.7%
소 1
 
6.7%
층 1
 
6.7%
1
 
6.7%
Other values (2) 2
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
53.3%
Other Letter 6
40.0%
Space Separator 1
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
6 2
25.0%
2 1
 
12.5%
3 1
 
12.5%
0 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
60.0%
Hangul 6
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
33.3%
6 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
1
 
11.1%
0 1
 
11.1%
Hangul
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
60.0%
Hangul 6
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
33.3%
6 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
1
 
11.1%
0 1
 
11.1%
Hangul
ValueCountFrequency (%)
상 1
16.7%
세 1
16.7%
주 1
16.7%
소 1
16.7%
층 1
16.7%
호 1
16.7%

관심수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
96.7%
8 1
 
3.3%

Length

2023-12-10T22:45:05.582882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:05.777904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
8 1
 
3.3%

조회수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.866667
Minimum0
Maximum322
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:05.924380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.75
95-th percentile235.95
Maximum322
Range322
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation82.713354
Coefficient of variation (CV)2.6796983
Kurtosis8.9959453
Mean30.866667
Median Absolute Deviation (MAD)0
Skewness3.1170754
Sum926
Variance6841.4989
MonotonicityNot monotonic
2023-12-10T22:45:06.157410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 17
56.7%
7 2
 
6.7%
67 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
6 1
 
3.3%
312 1
 
3.3%
15 1
 
3.3%
1 1
 
3.3%
322 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 17
56.7%
1 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
15 1
 
3.3%
16 1
 
3.3%
18 1
 
3.3%
67 1
 
3.3%
ValueCountFrequency (%)
322 1
3.3%
312 1
3.3%
143 1
3.3%
67 1
3.3%
18 1
3.3%
16 1
3.3%
15 1
3.3%
8 1
3.3%
7 2
6.7%
6 1
3.3%

공유수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T22:45:06.462755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:06.673860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

중요도구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

정책사이트URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

온라인신청가능여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T22:45:06.819292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록저장일시
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

수정저장일시
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

필기시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

필기시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

실기시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

실기시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

면접시험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

면접시험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

등록일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-03-30 17:36:00
Maximum2017-04-13 15:44:00
2023-12-10T22:45:07.012489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:07.223556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

수정일시
Date

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-04-12 20:35:00
Maximum2017-08-17 09:37:00
2023-12-10T22:45:07.429402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:07.638928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

사용여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
19 
True
11 
ValueCountFrequency (%)
False 19
63.3%
True 11
36.7%
2023-12-10T22:45:07.834348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-10T22:45:07.991340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

행사기관대표전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

활동상세추가내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

홈페이지바로가기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

추가내용
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:45:08.509447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length19.9
Min length3

Characters and Unicode

Total characters597
Distinct characters232
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row12@KR.KR
2nd row123
3rd row123;321
4th row서브1
5th row운영서버 첨부파일 테스트
ValueCountFrequency (%)
수원/핸달트 2
 
1.8%
활용 2
 
1.8%
모델링 2
 
1.8%
교육 2
 
1.8%
2
 
1.8%
강사 2
 
1.8%
수원 2
 
1.8%
2017 2
 
1.8%
만들기 2
 
1.8%
2d 1
 
0.9%
Other values (93) 93
83.0%
2023-12-10T22:45:09.420068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
14.1%
2 10
 
1.7%
업 9
 
1.5%
트 9
 
1.5%
1 9
 
1.5%
수 8
 
1.3%
[ 8
 
1.3%
] 8
 
1.3%
3 8
 
1.3%
A 7
 
1.2%
Other values (222) 437
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
56.3%
Space Separator 84
 
14.1%
Uppercase Letter 57
 
9.5%
Decimal Number 42
 
7.0%
Lowercase Letter 30
 
5.0%
Other Punctuation 17
 
2.8%
Open Punctuation 14
 
2.3%
Close Punctuation 14
 
2.3%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 9
 
2.7%
트 9
 
2.7%
수 8
 
2.4%
스 6
 
1.8%
원 6
 
1.8%
세 6
 
1.8%
이 6
 
1.8%
강 5
 
1.5%
서 5
 
1.5%
미 5
 
1.5%
Other values (164) 271
80.7%
Uppercase Letter
ValueCountFrequency (%)
A 7
12.3%
T 6
 
10.5%
R 5
 
8.8%
O 4
 
7.0%
D 4
 
7.0%
M 4
 
7.0%
G 3
 
5.3%
P 3
 
5.3%
C 3
 
5.3%
I 3
 
5.3%
Other values (10) 15
26.3%
Lowercase Letter
ValueCountFrequency (%)
a 4
13.3%
n 4
13.3%
i 3
10.0%
t 3
10.0%
o 3
10.0%
s 2
 
6.7%
h 2
 
6.7%
d 2
 
6.7%
k 1
 
3.3%
e 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
2 10
23.8%
1 9
21.4%
3 8
19.0%
0 5
11.9%
7 3
 
7.1%
9 2
 
4.8%
4 2
 
4.8%
5 2
 
4.8%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
; 6
35.3%
/ 3
17.6%
& 2
 
11.8%
# 2
 
11.8%
. 1
 
5.9%
@ 1
 
5.9%
: 1
 
5.9%
! 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
[ 8
57.1%
( 6
42.9%
Close Punctuation
ValueCountFrequency (%)
] 8
57.1%
) 6
42.9%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
56.3%
Common 174
29.1%
Latin 87
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 9
 
2.7%
트 9
 
2.7%
수 8
 
2.4%
스 6
 
1.8%
원 6
 
1.8%
세 6
 
1.8%
이 6
 
1.8%
강 5
 
1.5%
서 5
 
1.5%
미 5
 
1.5%
Other values (164) 271
80.7%
Latin
ValueCountFrequency (%)
A 7
 
8.0%
T 6
 
6.9%
R 5
 
5.7%
a 4
 
4.6%
O 4
 
4.6%
D 4
 
4.6%
n 4
 
4.6%
M 4
 
4.6%
i 3
 
3.4%
G 3
 
3.4%
Other values (25) 43
49.4%
Common
ValueCountFrequency (%)
84
48.3%
2 10
 
5.7%
1 9
 
5.2%
[ 8
 
4.6%
] 8
 
4.6%
3 8
 
4.6%
( 6
 
3.4%
; 6
 
3.4%
) 6
 
3.4%
0 5
 
2.9%
Other values (13) 24
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
56.3%
ASCII 261
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
32.2%
2 10
 
3.8%
1 9
 
3.4%
[ 8
 
3.1%
] 8
 
3.1%
3 8
 
3.1%
A 7
 
2.7%
( 6
 
2.3%
T 6
 
2.3%
; 6
 
2.3%
Other values (48) 109
41.8%
Hangul
ValueCountFrequency (%)
업 9
 
2.7%
트 9
 
2.7%
수 8
 
2.4%
스 6
 
1.8%
원 6
 
1.8%
세 6
 
1.8%
이 6
 
1.8%
강 5
 
1.5%
서 5
 
1.5%
미 5
 
1.5%
Other values (164) 271
80.7%

생애주기명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
청년(18~34세)
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청년(18~34세)
2nd row청년(18~34세)
3rd row청년(18~34세)
4th row청년(18~34세)
5th row청년(18~34세)

Common Values

ValueCountFrequency (%)
청년(18~34세) 30
100.0%

Length

2023-12-10T22:45:09.667285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:09.901565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청년(18~34세 30
100.0%

데이터기준일자
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2017-04-13
21 
2017-04-07
3 
2017-04-12
3 
2017-04-01
 
2
2017-03-30
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2017-03-30
2nd row2017-04-01
3rd row2017-04-01
4th row2017-04-07
5th row2017-04-07

Common Values

ValueCountFrequency (%)
2017-04-13 21
70.0%
2017-04-07 3
 
10.0%
2017-04-12 3
 
10.0%
2017-04-01 2
 
6.7%
2017-03-30 1
 
3.3%

Length

2023-12-10T22:45:10.264819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:10.714496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-04-13 21
70.0%
2017-04-07 3
 
10.0%
2017-04-12 3
 
10.0%
2017-04-01 2
 
6.7%
2017-03-30 1
 
3.3%

Sample

행사정보번호주요제목정책정보번호행사홈페이지URL행사장소행사장소우편번호행사장소도로명주소행사장소도로명상세주소행사장소지번주소행사장소지번상세주소행사장소위도행사장소경도행사장소법정동코드특화대상명분류1명분류2명분류3명신분류1명신분류2명채용박람회여부일자리버스여부태그명행사요약인원명행사요약비용행사요약접수방법명행사요약대상명행사내용행사기관공간정보번호행사기관명행사기관우편번호행사기관도로명주소행사기관도로명상세주소행사기관지번주소행사기관지번상세주소행사기관지도좌표위도행사기관지도좌표경도행사기관전화번호행사기관사이트URL문의처공간정보번호문의처명문의처사이트URL문의처우편번호문의처도로명주소문의처도로명상세주소문의처지도좌표위도문의처지도좌표경도문의처지번주소문의처지번상세주소관심수조회수공유수중요도구분명정책사이트URL온라인신청가능여부등록저장일시수정저장일시필기시험시작일자필기시험종료일자실기시험시작일자실기시험종료일자면접시험시작일자면접시험종료일자등록일시수정일시사용여부삭제여부행사기관대표전화번호활동상세추가내용홈페이지바로가기수추가내용생애주기명데이터기준일자
0112@KR.KR0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>채용박람회ㆍ취업설명회<NA><NA><NA><NA>NN12@KR.KR12123123123<NA>012@KR.KR12441경기 가평군 상면 청군로 2088-1512@KR.KR경기 가평군 상면 *** *****12@KR.KR<NA><NA>031-****-****12@KR.KR012@KR.KR12@KR.KR12422경기 가평군 가평읍 달전로 70123<NA><NA>경기 가평군 가평읍 *** ***123000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-03-30 17:362017-05-11 09:21YY<NA><NA><NA>12@KR.KR청년(18~34세)2017-03-30
121230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA>0123<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-01 10:332017-05-11 09:21YY<NA><NA><NA>123청년(18~34세)2017-04-01
231230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA>0111<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-01 19:112017-05-11 09:22YY<NA><NA><NA>123;321청년(18~34세)2017-04-01
34첨부파일테스트0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-07 10:592017-05-11 09:22YY<NA><NA><NA>서브1청년(18~34세)2017-04-07
45운영서버 첨부파일 테스트0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA>0운영서버 첨부파일 테스트<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-07 16:352017-05-11 09:22YY<NA><NA><NA>운영서버 첨부파일 테스트청년(18~34세)2017-04-07
56메인10<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>서포터즈<NA><NA><NA><NA>NN태그....1234<NA>0주최기관17802서울 강서구 마곡동로 61상세주소1서울 강서구 마곡동 *****상세주소1<NA><NA>053-***-****BBB@naver.com0주최기관1사이트7802서울 강서구 마곡동로 61상세주소1<NA><NA>서울 강서구 마곡동 *****상세주소1000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-07 17:422017-05-11 09:22YY<NA><NA><NA>서브1;테스트청년(18~34세)2017-04-07
67서울 코엑스 2017 호주유학박람회0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>채용박람회ㆍ취업설명회<NA><NA><NA><NA>NN&amp;#35;호주유학박람회 &amp;#35;호주어학연수박람회 &amp;#35;호주영주권유학박람회 &amp;#35;호주대학교박람회 &amp;#35;호주워킹홀리데이박람회<NA>0www.uhakevent.com호주유학; 어학연수에 관심있는 누구나<NA>0UHAKSTATION(유학스테이션)6615서울 서초구 강남대로61길 3 (서초동; 대승빌딩)6층 601호서울 서초구 서초동 ****6층 601호<NA><NA>02-***-****http://www.uhakevent.com/html/index.php0UHAKSTATION(유학스테이션)http://www.uhakevent.com/html/index.php6615서울 서초구 강남대로61길 3 (서초동; 대승빌딩)6층 601호<NA><NA>서울 서초구 서초동 ****6층 601호000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-12 10:202017-05-16 16:59YY<NA><NA><NA>서울 코엑스 2017 호주유학박람회청년(18~34세)2017-04-12
782017 인사이드 3d 프린팅 컨퍼런스＆엑스포0<NA>킨텍스 제2전시장 6홀10390경기 고양시 일산서구 킨텍스로 217-59 (대화동; 제2킨텍스)제2전시장 6홀경기 고양시 일산서구 *** ****제2전시장 6홀37.664696126.7420634128710400<NA>서포터즈<NA><NA><NA><NA>NN#전시#3D#스타트업경진대회#컨퍼런스500<NA>온라인접수(http://www.inside3dprinting.co.kr/2017/)<NA>ㅇ 행사일시 :&nbsp;6월 28일(수); 29일(목) 10:00 - 18:00 / 6월 30일(금) 10:00 - 17:00||ㅇ 행사신청 :&nbsp;http://www.inside3dprinting.co.kr/2017/ (온라인 or&nbsp;현장등록)||ㅇ 장소 : 킨텍스 제2전시장 6홀 (경기도 고양시 일산서구 한류월드로 408)&nbsp;||ㅇ 문의처 : inside3dprinting@kintex.com/ 031-995-8074(8040)||&nbsp;|||0킨텍스10390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)6홀경기 고양시 일산서구 *** ****6홀<NA><NA>031-***-****http://www.inside3dprinting.co.kr/2017/0<NA><NA><NA><NA><NA><NA><NA><NA>0670<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-12 15:442017-08-10 21:21NY<NA><NA><NA>세계 최대의 3D프린팅 및 적층제조(AM) 전문 이벤트청년(18~34세)2017-04-12
89asdsa0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA>0asdsad<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-12 20:342017-04-12 20:35YY<NA><NA><NA>sadas청년(18~34세)2017-04-12
910[넥시드] 인도네시아 스타트업 세미나 - KEJORA VC의 Andy Zain0<NA><NA>13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)7층 세미나실경기 성남시 분당구 *** ***7층 세미나실37.400322127.1048764113510900<NA>경진대회<NA><NA><NA><NA>NN#스타트업#경기콘텐츠진흥원#투자유치#인도네시아#동남아시아100<NA>온라인접수 (http://onoffmix.com/event/96180)스타트업업계 종사자 및 투자유치에 관심있는 모든 분들ㅇ 접수기간 : 2017년 3월 31일 17시 ~ 4월 14일 11시30분||ㅇ 행사일정&nbsp;: 2017년 4월 14일 14시~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/96180)||ㅇ 장소 : 경기창조경제혁신센터 7층 세미나실&nbsp;||ㅇ 내용 : 동남아시아 스타트업 시장 세미나 등&nbsp;||ㅇ 주최 / 주관 : 경기콘텐츠진흥원||ㅇ 문의처 : nexeedmentoring2017@gmail.com||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96180)|0경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA><NA><NA>031-****-****<NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0180<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 09:162017-08-10 21:21NY<NA><NA><NA>[넥시드] 인도네시아 스타트업 세미나 - KEJORA VC의 Andy Zain청년(18~34세)2017-04-13
행사정보번호주요제목정책정보번호행사홈페이지URL행사장소행사장소우편번호행사장소도로명주소행사장소도로명상세주소행사장소지번주소행사장소지번상세주소행사장소위도행사장소경도행사장소법정동코드특화대상명분류1명분류2명분류3명신분류1명신분류2명채용박람회여부일자리버스여부태그명행사요약인원명행사요약비용행사요약접수방법명행사요약대상명행사내용행사기관공간정보번호행사기관명행사기관우편번호행사기관도로명주소행사기관도로명상세주소행사기관지번주소행사기관지번상세주소행사기관지도좌표위도행사기관지도좌표경도행사기관전화번호행사기관사이트URL문의처공간정보번호문의처명문의처사이트URL문의처우편번호문의처도로명주소문의처도로명상세주소문의처지도좌표위도문의처지도좌표경도문의처지번주소문의처지번상세주소관심수조회수공유수중요도구분명정책사이트URL온라인신청가능여부등록저장일시수정저장일시필기시험시작일자필기시험종료일자실기시험시작일자실기시험종료일자면접시험시작일자면접시험종료일자등록일시수정일시사용여부삭제여부행사기관대표전화번호활동상세추가내용홈페이지바로가기수추가내용생애주기명데이터기준일자
2021&amp;#39;너&amp;#39;의 취향을 찾아드립니다0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#청춘#예술#art#취향#일상100<NA><NA><NA>0버드나무숲<NA><NA><NA><NA><NA><NA><NA><NA>0버드나무숲<NA><NA><NA><NA><NA><NA><NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 11:512017-05-16 20:59YY<NA><NA><NA>&#39;너&#39;의 취향을 찾아드립니다청년(18~34세)2017-04-13
21222017 글로벌소재부품산업대전(IMAC)0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>채용박람회ㆍ취업설명회<NA><NA><NA><NA>NN#박람회#전시#소재부품#킨텍스#산업전500<NA><NA><NA><NA>0킨텍스10390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)<NA>경기 고양시 일산서구 *** ****<NA><NA><NA>031-***-****<NA>0킨텍스<NA>10390경기 고양시 일산서구 킨텍스로 217-60 (대화동; 킨텍스)<NA><NA><NA>경기 고양시 일산서구 *** ****<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 13:592017-05-23 11:34NY<NA><NA><NA>2017 글로벌소재부품산업대전(IMAC)청년(18~34세)2017-04-13
2223제2회 스포츠산업 창조오디션0<NA>수원월드컵경기장16230경기 수원시 팔달구 월드컵로 310 (우만동; 수원월드컵경기장)<NA>경기 수원시 팔달구 *** ***<NA>37.287248127.0350134111514000<NA>공모전<NA><NA><NA><NA>NN#창조오디션#스포츠산업#스포츠산업창조오디션#오디션#스포츠<NA><NA>온오프믹스 접수; 이메일 또는 현장접수창업 또는 기타 오디션 입상 및 참가경력이 있는 팀 또는 개인ㅇ 접수기간 :&nbsp;2017년 4월 17일 10시30분 ~ 6월&nbsp;2일 17시||ㅇ 행사일정 : 2017년 6월 16일 13시 ~ 17시||ㅇ 접수방법 : 온라인접수 (http://onoffmix.com/event/96845)||ㅇ 장소 :&nbsp;수원월드컵경기장&nbsp;(경기 수원시 팔달구 우만동 수원월드컵경기장)||ㅇ 내용 : 공모 및 선발; 창업교육캠프; 오디션(시상식 등); 창업지원 및 판로개척; 성과 발표회||ㅇ 주최 / 주관 : 경기도 / (재)경기도수원월드컵경기장관리재단||ㅇ 문의처 : (재)경기도수원월드컵경기장관리재단 스포츠마케팅팀 031-259-2066 /&nbsp;anta36@suwonworldcup.or.kr||ㅇ 자세히 보러가기 :&nbsp;클릭&nbsp;(http://onoffmix.com/event/96845)|0(재)경기도수원월드컵경기장관리재단16230경기 수원시 팔달구 월드컵로 310 (우만동; 수원월드컵경기장)<NA>경기 수원시 팔달구 *** ***<NA><NA><NA>031-***-****http://onoffmix.com/event/968450<NA><NA><NA><NA><NA><NA><NA><NA>01430<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 14:212017-05-30 17:51NY<NA><NA><NA>제2회 스포츠산업 창조오디션청년(18~34세)2017-04-13
2324Biz Growth Maketing0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN<NA>1000<NA><NA>창업 7 년 이내 기업 또는 벤처기업<NA>0경기창조경제혁신센터13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA>경기 성남시 분당구 *** ***<NA><NA><NA><NA><NA>0경기창조경제혁신센터<NA>13487경기 성남시 분당구 대왕판교로645번길 12 (삼평동; 경기창조경제혁신센터)<NA><NA><NA>경기 성남시 분당구 *** ***<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 14:352017-05-23 13:34NY<NA><NA><NA>Biz Growth Maketing청년(18~34세)2017-04-13
2425인팩트러닝 손에 잡히는 퍼실리테이션0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#퍼실리테이션#퍼실리테이터#퍼실리테이터양성과정#인팩트러닝30890000https://goo.gl/forms/zuTRpbc0P6nGRXLk1<NA>*비용 : 890;000원 (early bird 5명 790;000원)|*참여신청 : infactlearning@gmail.com 또는 |https://goo.gl/forms/zuTRpbc0P6nGRXLk1|온오프 믹스에서도 신청 가능합니다|0(주)인팩트 러닝14056경기 안양시 동안구 학의로 282 (관양동; 금강펜테리움IT타워)<NA>경기 안양시 동안구 *** ***<NA><NA><NA><NA><NA>0(주)인팩트 러닝<NA>14056경기 안양시 동안구 학의로 282 (관양동; 금강펜테리움IT타워)<NA><NA><NA>경기 안양시 동안구 *** ***<NA>040<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 14:452017-05-23 13:34NY<NA><NA><NA>인팩트러닝 손에 잡히는 퍼실리테이션청년(18~34세)2017-04-13
2526국악놀이; 박소현 강사 [수원/핸달트]0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#음악#핸달트#수원#연우시#국악1260000<NA>영;유아<NA>0핸달트16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA>경기 수원시 장안구 *** ******<NA><NA><NA><NA><NA>0핸달트<NA>16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA><NA><NA>경기 수원시 장안구 *** ******<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 14:502017-05-23 11:20NY<NA><NA><NA>국악놀이; 박소현 강사 [수원/핸달트]청년(18~34세)2017-04-13
2627재즈댄스 김수지 [수원/핸달트]0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#댄스#핸달트#수원#연우시#재즈댄스1260000<NA><NA>재즈댄스 A - 초등고학년 12명; 토요일; 오후 3시 30분|재즈댄스 B - 주부반 12명; 월요일; 오전11시0핸달트16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA>경기 수원시 장안구 *** ******<NA><NA><NA><NA><NA>0핸달트<NA>16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA><NA><NA>경기 수원시 장안구 *** ******<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 14:552017-05-23 11:19NY<NA><NA><NA>재즈댄스 김수지 [수원/핸달트]청년(18~34세)2017-04-13
2728우쿨렐레 - 박예은 강사[수원/핸달트]0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#수원#연우시#핸달드#우쿨렐레#수원우쿨렐레<NA><NA><NA><NA>A. 청소년&amp;일반 - 60;000원; 10명|B. 주부 - 60;000원 12명0핸달트16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA>경기 수원시 장안구 *** ******<NA><NA><NA><NA><NA>0핸달트<NA>16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA><NA><NA>경기 수원시 장안구 *** ******<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 15:012017-05-23 11:24NY<NA><NA><NA>우쿨렐레 - 박예은 강사[수원/핸달트]청년(18~34세)2017-04-13
2829성남지역산업진흥계획 수립을 위한 시민정책참여단 모집0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN#성남#성남시민#성남시#성남시민정책참여단#시민정책참여단50<NA><NA><NA><NA>0성남산업진흥재단13558경기 성남시 분당구 성남대로331번길 8 (정자동; 킨스타워)<NA>경기 성남시 분당구 *** ****<NA><NA><NA><NA><NA>0성남산업진흥재단<NA>13558경기 성남시 분당구 성남대로331번길 8 (정자동; 킨스타워)<NA><NA><NA>경기 성남시 분당구 *** ****<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 15:212017-05-12 13:44YY<NA><NA><NA>성남지역산업진흥계획 수립을 위한 시민정책참여단 모집청년(18~34세)2017-04-13
2930예쁜글씨 POP 하윤미 강사 [수원; 핸달트]0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>인턴십<NA><NA><NA><NA>NN#핸달트#수원#연우시#예쁜글씨POP#예쁜글씨POP강사하윤미<NA><NA><NA>직장인; 주부예쁜글씨POP(월요일) - 직장인; 오후반 8명 ; 70;000원|예쁜글씨POP(목요일) - 주부; 오전반 8명 ; 70;000원0핸달트16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA>경기 수원시 장안구 *** ******<NA><NA><NA><NA><NA>0핸달트<NA>16305경기 수원시 장안구 경수대로927번길 17 (송죽동)<NA><NA><NA>경기 수원시 장안구 *** ******<NA>000<NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>2017-04-13 15:442017-05-23 13:34NY<NA><NA><NA>예쁜글씨 POP 하윤미 강사 [수원; 핸달트]청년(18~34세)2017-04-13