Overview

Dataset statistics

Number of variables17
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory140.3 B

Variable types

Numeric1
Text11
DateTime3
Categorical2

Alerts

skey has unique valuesUnique
fstvl_cn has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:16:56.873461
Analysis finished2023-12-10 10:16:59.040034
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-10T19:16:59.145364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-10T19:16:59.318806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

fstvl_nm
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:16:59.644578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length16.5
Mean length11.425
Min length5

Characters and Unicode

Total characters457
Distinct characters140
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

Unique38 ?
Unique (%)95.0%

Sample

1st row제20회광안리어방축제
2nd row부산고등어축제(취소)
3rd row현인가요제
4th row2019 오륙도 평화축제
5th row제12회 삼락벚꽃축제
ValueCountFrequency (%)
축제 4
 
5.0%
제19회 2
 
2.5%
해운대 2
 
2.5%
조선통신사 2
 
2.5%
하단포구웅어축제 1
 
1.2%
문화축제 1
 
1.2%
제8회 1
 
1.2%
해운대모래축제 1
 
1.2%
제16회 1
 
1.2%
해운대달맞이온천축제 1
 
1.2%
Other values (64) 64
80.0%
2023-12-10T19:17:00.238046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 51
 
11.2%
40
 
8.8%
축 29
 
6.3%
회 13
 
2.8%
화 12
 
2.6%
2 11
 
2.4%
1 10
 
2.2%
문 9
 
2.0%
부 8
 
1.8%
리 8
 
1.8%
Other values (130) 266
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
79.6%
Space Separator 40
 
8.8%
Decimal Number 39
 
8.5%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Other Punctuation 3
 
0.7%
Lowercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 51
 
14.0%
축 29
 
8.0%
회 13
 
3.6%
화 12
 
3.3%
문 9
 
2.5%
부 8
 
2.2%
리 8
 
2.2%
산 8
 
2.2%
운 7
 
1.9%
스 6
 
1.6%
Other values (113) 213
58.5%
Decimal Number
ValueCountFrequency (%)
2 11
28.2%
1 10
25.6%
0 8
20.5%
9 4
 
10.3%
8 2
 
5.1%
5 2
 
5.1%
3 1
 
2.6%
6 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
; 1
33.3%
, 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
79.6%
Common 90
 
19.7%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 51
 
14.0%
축 29
 
8.0%
회 13
 
3.6%
화 12
 
3.3%
문 9
 
2.5%
부 8
 
2.2%
리 8
 
2.2%
산 8
 
2.2%
운 7
 
1.9%
스 6
 
1.6%
Other values (113) 213
58.5%
Common
ValueCountFrequency (%)
40
44.4%
2 11
 
12.2%
1 10
 
11.1%
0 8
 
8.9%
( 4
 
4.4%
) 4
 
4.4%
9 4
 
4.4%
8 2
 
2.2%
5 2
 
2.2%
3 1
 
1.1%
Other values (4) 4
 
4.4%
Latin
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
79.6%
ASCII 93
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 51
 
14.0%
축 29
 
8.0%
회 13
 
3.6%
화 12
 
3.3%
문 9
 
2.5%
부 8
 
2.2%
리 8
 
2.2%
산 8
 
2.2%
운 7
 
1.9%
스 6
 
1.6%
Other values (113) 213
58.5%
ASCII
ValueCountFrequency (%)
40
43.0%
2 11
 
11.8%
1 10
 
10.8%
0 8
 
8.6%
( 4
 
4.3%
) 4
 
4.3%
9 4
 
4.3%
8 2
 
2.2%
5 2
 
2.2%
3 1
 
1.1%
Other values (7) 7
 
7.5%

opmt_place
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:00.551132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length15
Mean length10.375
Min length3

Characters and Unicode

Total characters415
Distinct characters115
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

Unique33 ?
Unique (%)82.5%

Sample

1st row광안리해변 일원
2nd row송도해수욕장 및 부산공동어시장 일원
3rd row부산 KBS홀
4th row평화공원(대연동)
5th row삼락생태공원
ValueCountFrequency (%)
일원 18
 
18.6%
및 7
 
7.2%
광복로 4
 
4.1%
해수욕장 4
 
4.1%
해운대 4
 
4.1%
용두산공원 3
 
3.1%
삼락생태공원 3
 
3.1%
해운대광장 2
 
2.1%
광복로일원 2
 
2.1%
자갈치시장 1
 
1.0%
Other values (49) 49
50.5%
2023-12-10T19:17:01.024216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
13.7%
원 32
 
7.7%
일 21
 
5.1%
장 19
 
4.6%
광 14
 
3.4%
해 12
 
2.9%
공 11
 
2.7%
대 11
 
2.7%
산 10
 
2.4%
및 7
 
1.7%
Other values (105) 221
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
81.9%
Space Separator 57
 
13.7%
Other Punctuation 7
 
1.7%
Uppercase Letter 7
 
1.7%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 32
 
9.4%
일 21
 
6.2%
장 19
 
5.6%
광 14
 
4.1%
해 12
 
3.5%
공 11
 
3.2%
대 11
 
3.2%
산 10
 
2.9%
및 7
 
2.1%
복 7
 
2.1%
Other values (96) 196
57.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
F 2
28.6%
I 1
14.3%
K 1
14.3%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
81.9%
Common 68
 
16.4%
Latin 7
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 32
 
9.4%
일 21
 
6.2%
장 19
 
5.6%
광 14
 
4.1%
해 12
 
3.5%
공 11
 
3.2%
대 11
 
3.2%
산 10
 
2.9%
및 7
 
2.1%
복 7
 
2.1%
Other values (96) 196
57.6%
Latin
ValueCountFrequency (%)
B 2
28.6%
F 2
28.6%
I 1
14.3%
K 1
14.3%
S 1
14.3%
Common
ValueCountFrequency (%)
57
83.8%
, 7
 
10.3%
) 2
 
2.9%
( 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
81.9%
ASCII 75
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
76.0%
, 7
 
9.3%
B 2
 
2.7%
) 2
 
2.7%
F 2
 
2.7%
( 2
 
2.7%
I 1
 
1.3%
K 1
 
1.3%
S 1
 
1.3%
Hangul
ValueCountFrequency (%)
원 32
 
9.4%
일 21
 
6.2%
장 19
 
5.6%
광 14
 
4.1%
해 12
 
3.5%
공 11
 
3.2%
대 11
 
3.2%
산 10
 
2.9%
및 7
 
2.1%
복 7
 
2.1%
Other values (96) 196
57.6%

fstvl_bgnde
Date

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-04-26 00:00:00
Maximum2021-12-31 00:00:00
2023-12-10T19:17:01.202521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:17:01.347811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

fstvl_endde
Date

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-04-28 00:00:00
Maximum2022-02-13 00:00:00
2023-12-10T19:17:01.486771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:17:01.643692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

fstvl_cn
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:02.041798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length32.5
Mean length28.125
Min length6

Characters and Unicode

Total characters1125
Distinct characters252
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row뮤지컬어방, 경상좌수사행렬, 어방그물끌기 한마당, 진두어화, 어방민속마을 등 6개분야 40종목
2nd row코로나19 확산 차단을 위해 축제 취소
3rd row무관중 개최(출연진만 참석, KBS부산 방송 송출), (오전)예선 / (오후)본선
4th row무대공연, 부대행사, 오륙도 평화가족가요제
5th row삼락벚꽃축제
ValueCountFrequency (%)
등 25
 
10.5%
및 8
 
3.4%
프로그램 5
 
2.1%
공연 5
 
2.1%
체험 4
 
1.7%
전시 4
 
1.7%
행사 4
 
1.7%
문화공연 3
 
1.3%
운영 3
 
1.3%
노래자랑 2
 
0.8%
Other values (162) 174
73.4%
2023-12-10T19:17:02.642310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
17.5%
, 63
 
5.6%
등 32
 
2.8%
사 25
 
2.2%
연 22
 
2.0%
공 19
 
1.7%
행 18
 
1.6%
험 17
 
1.5%
체 17
 
1.5%
프 13
 
1.2%
Other values (242) 702
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
73.2%
Space Separator 197
 
17.5%
Other Punctuation 74
 
6.6%
Decimal Number 9
 
0.8%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 32
 
3.9%
사 25
 
3.0%
연 22
 
2.7%
공 19
 
2.3%
행 18
 
2.2%
험 17
 
2.1%
체 17
 
2.1%
프 13
 
1.6%
제 12
 
1.5%
이 12
 
1.5%
Other values (227) 636
77.3%
Decimal Number
ValueCountFrequency (%)
6 3
33.3%
4 2
22.2%
9 1
 
11.1%
1 1
 
11.1%
0 1
 
11.1%
8 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
K 1
 
16.7%
B 1
 
16.7%
N 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 63
85.1%
/ 11
 
14.9%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
73.1%
Common 296
 
26.3%
Latin 6
 
0.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 32
 
3.9%
사 25
 
3.0%
연 22
 
2.7%
공 19
 
2.3%
행 18
 
2.2%
험 17
 
2.1%
체 17
 
2.1%
프 13
 
1.6%
제 12
 
1.5%
이 12
 
1.5%
Other values (226) 635
77.3%
Common
ValueCountFrequency (%)
197
66.6%
, 63
 
21.3%
/ 11
 
3.7%
) 8
 
2.7%
( 8
 
2.7%
6 3
 
1.0%
4 2
 
0.7%
9 1
 
0.3%
1 1
 
0.3%
0 1
 
0.3%
Latin
ValueCountFrequency (%)
S 3
50.0%
K 1
 
16.7%
B 1
 
16.7%
N 1
 
16.7%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
73.1%
ASCII 302
 
26.8%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
65.2%
, 63
 
20.9%
/ 11
 
3.6%
) 8
 
2.6%
( 8
 
2.6%
6 3
 
1.0%
S 3
 
1.0%
4 2
 
0.7%
K 1
 
0.3%
B 1
 
0.3%
Other values (5) 5
 
1.7%
Hangul
ValueCountFrequency (%)
등 32
 
3.9%
사 25
 
3.0%
연 22
 
2.7%
공 19
 
2.3%
행 18
 
2.2%
험 17
 
2.1%
체 17
 
2.1%
프 13
 
1.6%
제 12
 
1.5%
이 12
 
1.5%
Other values (226) 635
77.3%
CJK
ValueCountFrequency (%)
新 1
100.0%

mnnst
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:02.960051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.775
Min length3

Characters and Unicode

Total characters431
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)77.5%

Sample

1st row수영구축제위원회
2nd row(사)부산서구문화원
3rd row(사)한국연예예술인협회
4th row부산광역시 남구
5th row삼락동
ValueCountFrequency (%)
부산광역시 7
 
12.7%
부산진구청 4
 
7.3%
해운대구 3
 
5.5%
사)부산문화관광축제조직위원회 3
 
5.5%
사상문화원 2
 
3.6%
사 2
 
3.6%
해운대빛문화축제위원회 1
 
1.8%
수국축제추진위원회 1
 
1.8%
동래문화원,동래읍성역사축제추진위원회 1
 
1.8%
부산차이나타운축제추진위원회 1
 
1.8%
Other values (30) 30
54.5%
2023-12-10T19:17:03.762788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 23
 
5.3%
부 22
 
5.1%
회 22
 
5.1%
원 20
 
4.6%
화 18
 
4.2%
문 17
 
3.9%
제 17
 
3.9%
구 16
 
3.7%
15
 
3.5%
사 15
 
3.5%
Other values (87) 246
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
90.3%
Space Separator 15
 
3.5%
Open Punctuation 12
 
2.8%
Close Punctuation 12
 
2.8%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 23
 
5.9%
부 22
 
5.7%
회 22
 
5.7%
원 20
 
5.1%
화 18
 
4.6%
문 17
 
4.4%
제 17
 
4.4%
구 16
 
4.1%
사 15
 
3.9%
위 14
 
3.6%
Other values (83) 205
52.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
90.3%
Common 42
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 23
 
5.9%
부 22
 
5.7%
회 22
 
5.7%
원 20
 
5.1%
화 18
 
4.6%
문 17
 
4.4%
제 17
 
4.4%
구 16
 
4.1%
사 15
 
3.9%
위 14
 
3.6%
Other values (83) 205
52.7%
Common
ValueCountFrequency (%)
15
35.7%
( 12
28.6%
) 12
28.6%
, 3
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
90.3%
ASCII 42
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 23
 
5.9%
부 22
 
5.7%
회 22
 
5.7%
원 20
 
5.1%
화 18
 
4.6%
문 17
 
4.4%
제 17
 
4.4%
구 16
 
4.1%
사 15
 
3.9%
위 14
 
3.6%
Other values (83) 205
52.7%
ASCII
ValueCountFrequency (%)
15
35.7%
( 12
28.6%
) 12
28.6%
, 3
 
7.1%

auspc_instt
Text

Distinct30
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:04.090799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.5
Min length3

Characters and Unicode

Total characters340
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)65.0%

Sample

1st row수영구
2nd row부산광역시 서구+대형선망수협
3rd row(사)한국연예예술인협회
4th row부산광역시 남구
5th row사상구
ValueCountFrequency (%)
부산광역시 15
25.9%
사상구 3
 
5.2%
부산진구청 3
 
5.2%
해운대구 3
 
5.2%
사 2
 
3.4%
사하구 2
 
3.4%
수영구 1
 
1.7%
부산기독교총연합회 1
 
1.7%
영도구 1
 
1.7%
어촌계 1
 
1.7%
Other values (26) 26
44.8%
2023-12-10T19:17:04.581482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 25
 
7.4%
부 24
 
7.1%
구 22
 
6.5%
18
 
5.3%
광 17
 
5.0%
시 16
 
4.7%
역 15
 
4.4%
사 12
 
3.5%
회 12
 
3.5%
제 8
 
2.4%
Other values (76) 171
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
90.3%
Space Separator 18
 
5.3%
Open Punctuation 7
 
2.1%
Close Punctuation 7
 
2.1%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
8.1%
부 24
 
7.8%
구 22
 
7.2%
광 17
 
5.5%
시 16
 
5.2%
역 15
 
4.9%
사 12
 
3.9%
회 12
 
3.9%
제 8
 
2.6%
대 7
 
2.3%
Other values (72) 149
48.5%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
90.3%
Common 33
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 25
 
8.1%
부 24
 
7.8%
구 22
 
7.2%
광 17
 
5.5%
시 16
 
5.2%
역 15
 
4.9%
사 12
 
3.9%
회 12
 
3.9%
제 8
 
2.6%
대 7
 
2.3%
Other values (72) 149
48.5%
Common
ValueCountFrequency (%)
18
54.5%
( 7
 
21.2%
) 7
 
21.2%
+ 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
90.3%
ASCII 33
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 25
 
8.1%
부 24
 
7.8%
구 22
 
7.2%
광 17
 
5.5%
시 16
 
5.2%
역 15
 
4.9%
사 12
 
3.9%
회 12
 
3.9%
제 8
 
2.6%
대 7
 
2.3%
Other values (72) 149
48.5%
ASCII
ValueCountFrequency (%)
18
54.5%
( 7
 
21.2%
) 7
 
21.2%
+ 1
 
3.0%

suprt_instt
Categorical

Distinct14
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
-
19 
부산광역시 중구
4 
해당없음
4 
BNK
2 
사하구
2 
Other values (9)
9 

Length

Max length51
Median length27
Mean length6.7
Min length1

Unique

Unique9 ?
Unique (%)22.5%

Sample

1st row-
2nd row부산광역시, 부산공동어시장, 수협중앙회, 부산은행, 부산광역시교육청, 부산광역시서부교육지원청
3rd row부산광역시, 부산광역시 서구, (사)부산서구문화원
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 19
47.5%
부산광역시 중구 4
 
10.0%
해당없음 4
 
10.0%
BNK 2
 
5.0%
사하구 2
 
5.0%
부산광역시, 부산공동어시장, 수협중앙회, 부산은행, 부산광역시교육청, 부산광역시서부교육지원청 1
 
2.5%
부산광역시, 부산광역시 서구, (사)부산서구문화원 1
 
2.5%
부산광역시 기장군청 1
 
2.5%
부산광역시 북구청 1
 
2.5%
부산광역시, 부산광역시 중구, 부산시설관리공단 1
 
2.5%
Other values (4) 4
 
10.0%

Length

2023-12-10T19:17:04.770730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
19
30.6%
부산광역시 14
22.6%
중구 5
 
8.1%
해당없음 4
 
6.5%
bnk 2
 
3.2%
사하구 2
 
3.2%
북구청 1
 
1.6%
부산광역시,한국관광공사,부산관광공사 1
 
1.6%
부산관광공사 1
 
1.6%
부산시설공단 1
 
1.6%
Other values (12) 12
19.4%

telno
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:04.994401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.725
Min length1

Characters and Unicode

Total characters469
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)72.5%

Sample

1st row051-610-4062
2nd row051-240-4062
3rd row02-2655-3157
4th row-
5th row051-310-3002
ValueCountFrequency (%)
051-749-4062 3
 
7.5%
051-310-4062 2
 
5.0%
051-419-4064 2
 
5.0%
051-888-5221 2
 
5.0%
051-220-4501 2
 
5.0%
051-709-2091 1
 
2.5%
051-243-9363 1
 
2.5%
051-220-4062 1
 
2.5%
051-204-1444 1
 
2.5%
051-888-5091 1
 
2.5%
Other values (24) 24
60.0%
2023-12-10T19:17:05.377498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
18.1%
- 79
16.8%
5 66
14.1%
1 57
12.2%
2 50
10.7%
4 45
9.6%
6 30
 
6.4%
8 18
 
3.8%
9 15
 
3.2%
7 13
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.2%
Dash Punctuation 79
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
21.8%
5 66
16.9%
1 57
14.6%
2 50
12.8%
4 45
11.5%
6 30
 
7.7%
8 18
 
4.6%
9 15
 
3.8%
7 13
 
3.3%
3 11
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
18.1%
- 79
16.8%
5 66
14.1%
1 57
12.2%
2 50
10.7%
4 45
9.6%
6 30
 
6.4%
8 18
 
3.8%
9 15
 
3.2%
7 13
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
18.1%
- 79
16.8%
5 66
14.1%
1 57
12.2%
2 50
10.7%
4 45
9.6%
6 30
 
6.4%
8 18
 
3.8%
9 15
 
3.2%
7 13
 
2.8%

hmpg
Text

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:05.646703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length54
Mean length29.05
Min length1

Characters and Unicode

Total characters1162
Distinct characters45
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)55.0%

Sample

1st rowhttp://www.suyeong.go.kr/eobang/
2nd rowhttp://www.busangde.co.kr
3rd rowhttp://culture.bsseogu.go.kr
4th row-
5th row-
ValueCountFrequency (%)
8
20.0%
http://tour.busanjin.go.kr 3
 
7.5%
http://www.bfo.or.kr/main/index.asp 3
 
7.5%
http://www.sasangculture.or.kr 2
 
5.0%
http://www.yeongdo.go.kr/main.web 2
 
5.0%
http://www.ejagalchi.com 1
 
2.5%
http://www.suyeong.go.kr/eobang 1
 
2.5%
http://www.haeundae.go.kr/tour/index.do?menucd=dom_000000309000000000 1
 
2.5%
https://www.saha.go.kr/tour/contents.do?mid=0202020000 1
 
2.5%
https://www.saha.go.kr/tour/contents.do?mid=0202040000 1
 
2.5%
Other values (17) 17
42.5%
2023-12-10T19:17:06.096853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 102
 
8.8%
/ 98
 
8.4%
t 92
 
7.9%
w 78
 
6.7%
o 69
 
5.9%
0 66
 
5.7%
n 57
 
4.9%
r 49
 
4.2%
g 46
 
4.0%
h 39
 
3.4%
Other values (35) 466
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 801
68.9%
Other Punctuation 239
 
20.6%
Decimal Number 88
 
7.6%
Uppercase Letter 16
 
1.4%
Dash Punctuation 8
 
0.7%
Math Symbol 7
 
0.6%
Connector Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 92
 
11.5%
w 78
 
9.7%
o 69
 
8.6%
n 57
 
7.1%
r 49
 
6.1%
g 46
 
5.7%
h 39
 
4.9%
a 39
 
4.9%
s 39
 
4.9%
e 38
 
4.7%
Other values (14) 255
31.8%
Decimal Number
ValueCountFrequency (%)
0 66
75.0%
2 8
 
9.1%
3 5
 
5.7%
9 2
 
2.3%
5 2
 
2.3%
1 2
 
2.3%
6 2
 
2.3%
4 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
18.8%
D 3
18.8%
O 3
18.8%
M 3
18.8%
I 3
18.8%
S 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 102
42.7%
/ 98
41.0%
: 32
 
13.4%
? 7
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
= 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 817
70.3%
Common 345
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 92
 
11.3%
w 78
 
9.5%
o 69
 
8.4%
n 57
 
7.0%
r 49
 
6.0%
g 46
 
5.6%
h 39
 
4.8%
a 39
 
4.8%
s 39
 
4.8%
e 38
 
4.7%
Other values (20) 271
33.2%
Common
ValueCountFrequency (%)
. 102
29.6%
/ 98
28.4%
0 66
19.1%
: 32
 
9.3%
2 8
 
2.3%
- 8
 
2.3%
= 7
 
2.0%
? 7
 
2.0%
3 5
 
1.4%
_ 3
 
0.9%
Other values (5) 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 102
 
8.8%
/ 98
 
8.4%
t 92
 
7.9%
w 78
 
6.7%
o 69
 
5.9%
0 66
 
5.7%
n 57
 
4.9%
r 49
 
4.2%
g 46
 
4.0%
h 39
 
3.4%
Other values (35) 466
40.1%

relate_info
Categorical

Distinct13
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
-
26 
코로나 19 관련 행사 취소
 
2
용두산공원
 
2
송도해수욕장, 부산공동어시장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원
 
1
송도해수욕장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원
 
1
Other values (8)
8 

Length

Max length58
Median length1
Mean length7.65
Min length1

Unique

Unique10 ?
Unique (%)25.0%

Sample

1st row-
2nd row송도해수욕장, 부산공동어시장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원
3rd row송도해수욕장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원
4th row-
5th row코로나 19 관련 행사 취소

Common Values

ValueCountFrequency (%)
- 26
65.0%
코로나 19 관련 행사 취소 2
 
5.0%
용두산공원 2
 
5.0%
송도해수욕장, 부산공동어시장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원 1
 
2.5%
송도해수욕장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원 1
 
2.5%
코로나 19 관련 행사 연기(3월→9월) 1
 
2.5%
연제구청 유튜브 1
 
2.5%
축제 관련 정보 제공 1
 
2.5%
금정의 커피 및 빵 즐기기, 초콜릿 만들기, 라라라 놀이체육 한마당, 금정 맛 푸드 콘서트 등 1
 
2.5%
낙동민속예술제 1
 
2.5%
Other values (3) 3
 
7.5%

Length

2023-12-10T19:17:06.344006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
26
30.6%
관련 4
 
4.7%
19 3
 
3.5%
행사 3
 
3.5%
코로나 3
 
3.5%
용두산공원 3
 
3.5%
송도해상케이블카 2
 
2.4%
송도해안볼레길 2
 
2.4%
송도오토캠핑장 2
 
2.4%
암남공원 2
 
2.4%
Other values (32) 35
41.2%

rdnmadr
Text

Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:06.728675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.475
Min length1

Characters and Unicode

Total characters819
Distinct characters90
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

Unique27 ?
Unique (%)67.5%

Sample

1st row부산광역시 수영구 광안해변로 219
2nd row부산광역시 서구 송도해변로 100
3rd row부산광역시 서구 송도해변로 100
4th row부산광역시 남구 대연동 707번지
5th row부산광역시 사상구 낙동대로 1310번길 19(삼락동)
ValueCountFrequency (%)
부산광역시 38
23.5%
중구 10
 
6.2%
해운대구 4
 
2.5%
부산진구 4
 
2.5%
사하구 4
 
2.5%
264 4
 
2.5%
해운대해변로 4
 
2.5%
낙동대로 3
 
1.9%
1310번길 3
 
1.9%
영도구 3
 
1.9%
Other values (72) 85
52.5%
2023-12-10T19:17:07.347526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
14.9%
광 46
 
5.6%
산 45
 
5.5%
부 44
 
5.4%
시 40
 
4.9%
구 40
 
4.9%
역 38
 
4.6%
로 33
 
4.0%
동 25
 
3.1%
1 25
 
3.1%
Other values (80) 361
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
65.4%
Decimal Number 124
 
15.1%
Space Separator 122
 
14.9%
Close Punctuation 15
 
1.8%
Open Punctuation 15
 
1.8%
Dash Punctuation 6
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 46
 
8.6%
산 45
 
8.4%
부 44
 
8.2%
시 40
 
7.5%
구 40
 
7.5%
역 38
 
7.1%
로 33
 
6.2%
동 25
 
4.7%
해 17
 
3.2%
대 16
 
3.0%
Other values (65) 192
35.8%
Decimal Number
ValueCountFrequency (%)
1 25
20.2%
2 21
16.9%
3 19
15.3%
0 16
12.9%
5 11
8.9%
6 9
 
7.3%
7 8
 
6.5%
9 7
 
5.6%
4 6
 
4.8%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
65.4%
Common 283
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 46
 
8.6%
산 45
 
8.4%
부 44
 
8.2%
시 40
 
7.5%
구 40
 
7.5%
역 38
 
7.1%
로 33
 
6.2%
동 25
 
4.7%
해 17
 
3.2%
대 16
 
3.0%
Other values (65) 192
35.8%
Common
ValueCountFrequency (%)
122
43.1%
1 25
 
8.8%
2 21
 
7.4%
3 19
 
6.7%
0 16
 
5.7%
) 15
 
5.3%
( 15
 
5.3%
5 11
 
3.9%
6 9
 
3.2%
7 8
 
2.8%
Other values (5) 22
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
65.4%
ASCII 283
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
43.1%
1 25
 
8.8%
2 21
 
7.4%
3 19
 
6.7%
0 16
 
5.7%
) 15
 
5.3%
( 15
 
5.3%
5 11
 
3.9%
6 9
 
3.2%
7 8
 
2.8%
Other values (5) 22
 
7.8%
Hangul
ValueCountFrequency (%)
광 46
 
8.6%
산 45
 
8.4%
부 44
 
8.2%
시 40
 
7.5%
구 40
 
7.5%
역 38
 
7.1%
로 33
 
6.2%
동 25
 
4.7%
해 17
 
3.2%
대 16
 
3.0%
Other values (65) 192
35.8%

lnm_adres
Text

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:07.598437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.025
Min length1

Characters and Unicode

Total characters601
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)62.5%

Sample

1st row-
2nd row부산광역시 서구 암남동 135-5
3rd row부산광역시 서구 암남동 135-5
4th row-
5th row-
ValueCountFrequency (%)
부산광역시 31
23.0%
9
 
6.7%
중구 7
 
5.2%
해운대구 4
 
3.0%
중동 4
 
3.0%
1415-49 4
 
3.0%
사하구 4
 
3.0%
부산진구 4
 
3.0%
영도구 3
 
2.2%
강서구 2
 
1.5%
Other values (57) 63
46.7%
2023-12-10T19:17:07.999348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
15.8%
1 42
 
7.0%
부 37
 
6.2%
산 37
 
6.2%
- 34
 
5.7%
동 34
 
5.7%
광 33
 
5.5%
구 31
 
5.2%
시 31
 
5.2%
역 31
 
5.2%
Other values (55) 196
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
57.6%
Decimal Number 126
 
21.0%
Space Separator 95
 
15.8%
Dash Punctuation 34
 
5.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 37
10.7%
산 37
10.7%
동 34
 
9.8%
광 33
 
9.5%
구 31
 
9.0%
시 31
 
9.0%
역 31
 
9.0%
중 11
 
3.2%
대 7
 
2.0%
가 7
 
2.0%
Other values (43) 87
25.1%
Decimal Number
ValueCountFrequency (%)
1 42
33.3%
4 18
14.3%
5 16
 
12.7%
6 12
 
9.5%
2 9
 
7.1%
3 8
 
6.3%
9 7
 
5.6%
7 7
 
5.6%
0 4
 
3.2%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
57.6%
Common 255
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 37
10.7%
산 37
10.7%
동 34
 
9.8%
광 33
 
9.5%
구 31
 
9.0%
시 31
 
9.0%
역 31
 
9.0%
중 11
 
3.2%
대 7
 
2.0%
가 7
 
2.0%
Other values (43) 87
25.1%
Common
ValueCountFrequency (%)
95
37.3%
1 42
16.5%
- 34
 
13.3%
4 18
 
7.1%
5 16
 
6.3%
6 12
 
4.7%
2 9
 
3.5%
3 8
 
3.1%
9 7
 
2.7%
7 7
 
2.7%
Other values (2) 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
57.6%
ASCII 255
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
37.3%
1 42
16.5%
- 34
 
13.3%
4 18
 
7.1%
5 16
 
6.3%
6 12
 
4.7%
2 9
 
3.5%
3 8
 
3.1%
9 7
 
2.7%
7 7
 
2.7%
Other values (2) 7
 
2.7%
Hangul
ValueCountFrequency (%)
부 37
10.7%
산 37
10.7%
동 34
 
9.8%
광 33
 
9.5%
구 31
 
9.0%
시 31
 
9.0%
역 31
 
9.0%
중 11
 
3.2%
대 7
 
2.0%
가 7
 
2.0%
Other values (43) 87
25.1%

la
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:08.288125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.025
Min length1

Characters and Unicode

Total characters441
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)77.5%

Sample

1st row35.15377436
2nd row35.07682117
3rd row35.07682117
4th row-
5th row35.17701002
ValueCountFrequency (%)
35.1591069824 4
 
10.0%
35.17701002 3
 
7.5%
35.07682117 2
 
5.0%
35.099428276 1
 
2.5%
35.05597301 1
 
2.5%
35.2119506866 1
 
2.5%
35.11507608 1
 
2.5%
35.199226167 1
 
2.5%
35.10619853 1
 
2.5%
35.100950542 1
 
2.5%
Other values (24) 24
60.0%
2023-12-10T19:17:08.791348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
15.4%
0 57
12.9%
3 53
12.0%
1 52
11.8%
. 39
8.8%
9 35
7.9%
6 35
7.9%
2 30
6.8%
7 25
 
5.7%
8 24
 
5.4%
Other values (2) 23
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
90.9%
Other Punctuation 39
 
8.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
17.0%
0 57
14.2%
3 53
13.2%
1 52
13.0%
9 35
8.7%
6 35
8.7%
2 30
7.5%
7 25
 
6.2%
8 24
 
6.0%
4 22
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
15.4%
0 57
12.9%
3 53
12.0%
1 52
11.8%
. 39
8.8%
9 35
7.9%
6 35
7.9%
2 30
6.8%
7 25
 
5.7%
8 24
 
5.4%
Other values (2) 23
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
15.4%
0 57
12.9%
3 53
12.0%
1 52
11.8%
. 39
8.8%
9 35
7.9%
6 35
7.9%
2 30
6.8%
7 25
 
5.7%
8 24
 
5.4%
Other values (2) 23
 
5.2%

lo
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-10T19:17:09.100914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.5
Min length1

Characters and Unicode

Total characters460
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)77.5%

Sample

1st row129.1185216
2nd row129.0180502
3rd row129.0180502
4th row-
5th row128.9776397
ValueCountFrequency (%)
129.1602837868 4
 
10.0%
128.9776397 3
 
7.5%
129.0180502 2
 
5.0%
129.027814929 1
 
2.5%
129.0897518 1
 
2.5%
129.0905459618 1
 
2.5%
129.0375502 1
 
2.5%
128.973417901 1
 
2.5%
129.0323505 1
 
2.5%
129.032430719 1
 
2.5%
Other values (24) 24
60.0%
2023-12-10T19:17:09.548182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 72
15.7%
9 65
14.1%
2 64
13.9%
0 48
10.4%
8 45
9.8%
. 39
8.5%
3 33
7.2%
7 30
6.5%
6 24
 
5.2%
5 24
 
5.2%
Other values (2) 16
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
91.3%
Other Punctuation 39
 
8.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
17.1%
9 65
15.5%
2 64
15.2%
0 48
11.4%
8 45
10.7%
3 33
7.9%
7 30
7.1%
6 24
 
5.7%
5 24
 
5.7%
4 15
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 72
15.7%
9 65
14.1%
2 64
13.9%
0 48
10.4%
8 45
9.8%
. 39
8.5%
3 33
7.2%
7 30
6.5%
6 24
 
5.2%
5 24
 
5.2%
Other values (2) 16
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 72
15.7%
9 65
14.1%
2 64
13.9%
0 48
10.4%
8 45
9.8%
. 39
8.5%
3 33
7.2%
7 30
6.5%
6 24
 
5.2%
5 24
 
5.2%
Other values (2) 16
 
3.5%

data_stdde
Date

Distinct17
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-09-23 00:00:00
Maximum2021-05-17 00:00:00
2023-12-10T19:17:09.702615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:17:09.822783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

Interactions

2023-12-10T19:16:58.493485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:17:09.945773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeyfstvl_nmopmt_placefstvl_bgndefstvl_enddefstvl_cnmnnstauspc_insttsuprt_instttelnohmpgrelate_infordnmadrlnm_adreslalodata_stdde
skey1.0000.9320.9530.9290.7651.0000.9520.9410.7420.8810.7970.6220.9650.8700.9730.9730.911
fstvl_nm0.9321.0000.9790.9900.9951.0000.9741.0000.9880.9740.9270.9770.9840.9870.9740.9740.990
opmt_place0.9530.9791.0000.9340.9591.0000.9500.9961.0000.9890.9930.9121.0001.0001.0001.0001.000
fstvl_bgnde0.9290.9900.9341.0000.9931.0000.9210.9640.0000.9490.8710.9160.9580.9460.9520.9520.982
fstvl_endde0.7650.9950.9590.9931.0001.0000.9010.9440.9720.9350.9400.0000.9510.9690.9600.9600.919
fstvl_cn1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
mnnst0.9520.9740.9500.9210.9011.0001.0000.9960.9920.9810.9940.8000.9190.9140.9260.9261.000
auspc_instt0.9411.0000.9960.9640.9441.0000.9961.0000.9860.9880.9820.8750.9870.9770.9880.9880.997
suprt_instt0.7420.9881.0000.0000.9721.0000.9920.9861.0000.9870.9730.8390.9660.9820.9660.9660.863
telno0.8810.9740.9890.9490.9351.0000.9810.9880.9871.0000.9730.8920.9810.9850.9930.9931.000
hmpg0.7970.9270.9930.8710.9401.0000.9940.9820.9730.9731.0000.5330.9730.9600.9780.9780.934
relate_info0.6220.9770.9120.9160.0001.0000.8000.8750.8390.8920.5331.0000.6440.0000.5780.5780.917
rdnmadr0.9650.9841.0000.9580.9511.0000.9190.9870.9660.9810.9730.6441.0000.9961.0001.0000.993
lnm_adres0.8700.9871.0000.9460.9691.0000.9140.9770.9820.9850.9600.0000.9961.0001.0001.0000.907
la0.9730.9741.0000.9520.9601.0000.9260.9880.9660.9930.9780.5781.0001.0001.0001.0001.000
lo0.9730.9741.0000.9520.9601.0000.9260.9880.9660.9930.9780.5781.0001.0001.0001.0001.000
data_stdde0.9110.9901.0000.9820.9191.0001.0000.9970.8631.0000.9340.9170.9930.9071.0001.0001.000
2023-12-10T19:17:10.131921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
suprt_insttrelate_info
suprt_instt1.0000.481
relate_info0.4811.000
2023-12-10T19:17:10.228766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeysuprt_insttrelate_info
skey1.0000.3750.284
suprt_instt0.3751.0000.481
relate_info0.2840.4811.000

Missing values

2023-12-10T19:16:58.691355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:16:58.944197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

skeyfstvl_nmopmt_placefstvl_bgndefstvl_enddefstvl_cnmnnstauspc_insttsuprt_instttelnohmpgrelate_infordnmadrlnm_adreslalodata_stdde
01제20회광안리어방축제광안리해변 일원2021-04-232021-04-25뮤지컬어방, 경상좌수사행렬, 어방그물끌기 한마당, 진두어화, 어방민속마을 등 6개분야 40종목수영구축제위원회수영구-051-610-4062http://www.suyeong.go.kr/eobang/-부산광역시 수영구 광안해변로 219-35.15377436129.11852162020-12-30
12부산고등어축제(취소)송도해수욕장 및 부산공동어시장 일원2020-10-232020-10-25코로나19 확산 차단을 위해 축제 취소(사)부산서구문화원부산광역시 서구+대형선망수협부산광역시, 부산공동어시장, 수협중앙회, 부산은행, 부산광역시교육청, 부산광역시서부교육지원청051-240-4062http://www.busangde.co.kr송도해수욕장, 부산공동어시장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원부산광역시 서구 송도해변로 100부산광역시 서구 암남동 135-535.07682117129.01805022020-11-06
23현인가요제부산 KBS홀2020-11-282020-11-28무관중 개최(출연진만 참석, KBS부산 방송 송출), (오전)예선 / (오후)본선(사)한국연예예술인협회(사)한국연예예술인협회부산광역시, 부산광역시 서구, (사)부산서구문화원02-2655-3157http://culture.bsseogu.go.kr송도해수욕장, 송도구름산책로, 송도해상케이블카, 송도오토캠핑장, 송도해안볼레길, 암남공원부산광역시 서구 송도해변로 100부산광역시 서구 암남동 135-535.07682117129.01805022020-11-06
342019 오륙도 평화축제평화공원(대연동)2019-10-192019-10-20무대공연, 부대행사, 오륙도 평화가족가요제부산광역시 남구부산광역시 남구----부산광역시 남구 대연동 707번지---2021-05-14
45제12회 삼락벚꽃축제삼락생태공원2021-03-272021-03-28삼락벚꽃축제삼락동사상구-051-310-3002-코로나 19 관련 행사 취소부산광역시 사상구 낙동대로 1310번길 19(삼락동)-35.17701002128.97763972021-03-23
56제19회 사상강변축제삼락생태공원2021-09-112021-09-12사상강변축제사상문화원사상구-051-310-4062http://www.sasangculture.or.kr/코로나 19 관련 행사 연기(3월→9월)부산광역시 사상구 낙동대로 1310번길 19(삼락동)-35.17701002128.97763972021-03-23
67제20회 사상전통달집놀이삼락생태공원2021-02-262021-02-26사상전통달집 놀이사상문화원사상구-051-310-4062http://www.sasangculture.or.kr/코로나 19 관련 행사 취소부산광역시 사상구 낙동대로 1310번길 19(삼락동)-35.17701002128.97763972021-03-23
782020년 연제 가을 온라인 축제연제구청 유튜브2020-10-192020-10-31온라인 실시간 스트리밍 6개분야 48개 프로그램 운영부산광역시 연제구부산광역시 연제구-051-665-4062-연제구청 유튜브부산광역시 연제구 연제로 2(연산동, 연제구청)-35.1762117404129.07974560592020-12-14
89제15회 차성문화제기장중학교 일원2019-10-122019-10-13전통문화체험, 차성가 연극 및 공연, 차성가 콘서트 등차성문화제추진위원회차성문화제추진위원회부산광역시 기장군청051-709-4062http://www.gijang.go.kr/tour/index.gijang-부산광역시 기장군 기장읍 읍내로 120부산광역시 기장군 기장읍 대라리 4035.2448828028129.21831340382019-09-23
910제11회서면우리문화축제부산시민공원2020-12-182021-01-04전통등, 동지트리 등 비대면 축제부산광역시 부산진구청부산광역시 부산진구청-051-605-4064http://tour.busanjin.go.kr-부산광역시 부산진구 시민공원로 73 (범전동)부산광역시 부산진구 범전동 20035.16545561129.05585582021-05-17
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3031원도심활성화 축제원도심2021-05-212021-05-24원도심 야간걷기 투어 및 체험참여행사 등(사)부산문화관광축제조직위원회부산광역시BNK051-888-5221http://www.bfo.or.kr/main/index.asp용두산공원 태종대 영도대교 도개부산광역시 중구 중구로 120(대청동1가)-35.10619853129.03235052021-03-30
3132부산크리스마스트리축제광복로일원2021-11-012022-01-31(날짜 미정)트리점등식 문화공연, 사랑나눔행사크리스마스트리축제위원회(사)부산기독교총연합회부산광역시051-888-5225http://bctf.kr/g5광복로일원, 자갈치시장부산광역시 중구 광복로6번길 3(부평동2가)부산광역시 중구 부평동2가 33-635.099428276129.0278149292021-03-30
3233부산시민의종 타종식용두산공원2021-12-312022-01-01시민의종 타종, 문화공연(사)부산문화관광축제조직위원회부산광역시BNK051-888-5221http://www.bfo.or.kr/main/index.asp용두산공원부산광역시 중구 용두산길 37-55(광복동2가)-35.100950542129.0324307192021-03-30
3334조선통신사 축제광복로일원, 용두산공원2021-09-102021-09-12조선통신사 행렬재현, 마상재, 新조선통신사 프로그램 등부산문화재단부산광역시-051-888-5091http://tongsinsa.com/html용두산공원부산광역시 중구 용두산길 37-55(광복동2가)-35.100910006129.0324297122021-03-30
3435감천문화마을 골목축제감천문화마을 일원2019-04-262019-04-28골목나라퍼레이드,청소년프린지어워드, 골목노래자랑, 마을연극 등(사)감천문화마을 주민협의회부산광역시 사하구-051-204-1444http://www.gamcheon.or.kr-부산광역시 사하구 감내2로 203부산광역시 사하구 감천동 1-1435.09748815129.0106242021-03-25
3536하단포구웅어축제하단동일원2019-05-242019-05-26웅어회, 웅어구이 무료시식 및 판매 / 사물놀이, 어업인 장기자랑 및 노래자랑하단어촌계부산광역시 수협사하구051-220-4501https://www.saha.go.kr/tour/contents.do?mId=0202050000-부산광역시 사하구 하신번영로 253-1부산광역시 사하구 하단동 1167-335.103745128.95819462021-03-25
3637다대포어항문화축제다대포 일원2019-11-152019-11-16어류방류 체험, 생선회 정량달기 등다대포어항문화축제추진위원회부산광역시 수협(다대 어촌계)사하구051-220-4501https://www.saha.go.kr/tour/contents.do?mId=0202040000-부산광역시 사하구 다대동로8번길 40부산광역시 사하구 다대동 798-135.05560102128.97242742021-03-25
3738사하예술제을숙도문화회관 일원2019-10-182019-10-24전시, 공연, 체험프로그램, 연계 행사 등사하구사하구-051-220-4062https://www.saha.go.kr/tour/contents.do?mId=0202020000-부산광역시 사하구 낙동남로1233번길 25부산광역시 사하구 하단동 1151-1435.110059128.94495712021-03-25
3839영도다리축제영도대교 일원, 아미르공원2021-01-012021-12-31개막주제공연, 축하공연, 불꽃쇼, 퍼레이드, 체험행사 등영도문화원영도구-051-419-4064http://www.yeongdo.go.kr/ydfestival.web-부산광역시 영도구 해양로301번길 55부산광역시 영도구 동삼동 116535.07714964129.07938672021-03-24
3940발복기원제(미확정)봉래산 헬기장2021-06-112021-06-11개회식, 기원제, 길놀이, 의식공연, 음복례 등봉래산발복기원제추진위원회봉래산발복기원제추진위원회-051-419-5722http://www.yeongdo.go.kr/main.web-부산광역시 영도구 벚꽃길 1부산광역시 영도구 청학동 산54-435.08646003129.05907832021-03-24