Overview

Dataset statistics

Number of variables28
Number of observations79
Missing cells60
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory226.7 B

Variable types

Numeric3
Text6
Categorical12
Boolean7

Dataset

Description농식품공공데이터포털 말산업데이터 개방 목록
Author농림수산식품교육문화정보원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20211008000000001639

Alerts

기관명 has constant value ""Constant
기타유의사항 has constant value ""Constant
상위분류 has constant value ""Constant
챠트 has constant value ""Constant
오픈API is highly imbalanced (52.7%)Imbalance
원시데이터 is highly imbalanced (71.1%)Imbalance
지도 is highly imbalanced (90.2%)Imbalance
링크URL has 60 (75.9%) missing valuesMissing
데이터명 has unique valuesUnique
공공데이터포털URL has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:52:15.895446
Analysis finished2023-12-11 03:52:16.648491
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

데이터셋ID
Real number (ℝ)

Distinct12
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0163547 × 1019
Minimum2.0141014 × 1019
Maximum2.0191017 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-11T12:52:16.749076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0141014 × 1019
5-th percentile2.0141015 × 1019
Q12.0161221 × 1019
median2.0161221 × 1019
Q32.0170929 × 1019
95-th percentile2.0191014 × 1019
Maximum2.0191017 × 1019
Range5.0003 × 1016
Interquartile range (IQR)9.708 × 1015

Descriptive statistics

Standard deviation1.2516984 × 1016
Coefficient of variation (CV)0.00062077291
Kurtosis0.3994676
Mean2.0163547 × 1019
Median Absolute Deviation (MAD)0
Skewness0.22608904
Sum1.5929202 × 1021
Variance1.5667488 × 1032
MonotonicityIncreasing
2023-12-11T12:52:16.921757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.0161221e+19 46
58.2%
2.0141015e+19 9
 
11.4%
2.0181106e+19 6
 
7.6%
2.0171009e+19 5
 
6.3%
2.0191014e+19 4
 
5.1%
2.0170929e+19 2
 
2.5%
2.0181105e+19 2
 
2.5%
2.0141014e+19 1
 
1.3%
2.0151027e+19 1
 
1.3%
2.0170928e+19 1
 
1.3%
Other values (2) 2
 
2.5%
ValueCountFrequency (%)
2.0141014e+19 1
 
1.3%
2.0141015e+19 9
 
11.4%
2.0151027e+19 1
 
1.3%
2.0161221e+19 46
58.2%
2.0170928e+19 1
 
1.3%
2.0170929e+19 2
 
2.5%
2.0171009e+19 5
 
6.3%
2.0171121e+19 1
 
1.3%
2.0181105e+19 2
 
2.5%
2.0181106e+19 6
 
7.6%
ValueCountFrequency (%)
2.0191017e+19 1
 
1.3%
2.0191014e+19 4
 
5.1%
2.0181106e+19 6
 
7.6%
2.0181105e+19 2
 
2.5%
2.0171121e+19 1
 
1.3%
2.0171009e+19 5
 
6.3%
2.0170929e+19 2
 
2.5%
2.0170928e+19 1
 
1.3%
2.0161221e+19 46
58.2%
2.0151027e+19 1
 
1.3%

데이터셋명
Text

Distinct40
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T12:52:17.175891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.5443038
Min length4

Characters and Unicode

Total characters596
Distinct characters74
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)35.4%

Sample

1st row승마시설정보
2nd row경마정보
3rd row경마정보
4th row경마정보
5th row경마정보
ValueCountFrequency (%)
정보 30
21.3%
한국마사회 20
14.2%
경주정보 9
 
6.4%
배당률 7
 
5.0%
경마정보 7
 
5.0%
경주마정보 6
 
4.3%
출전현황 4
 
2.8%
승용마 3
 
2.1%
기수정보 3
 
2.1%
주행심사현황 3
 
2.1%
Other values (37) 49
34.8%
2023-12-11T12:52:17.637878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
11.2%
정 65
 
10.9%
보 65
 
10.9%
마 54
 
9.1%
경 30
 
5.0%
사 28
 
4.7%
주 26
 
4.4%
국 20
 
3.4%
한 20
 
3.4%
회 20
 
3.4%
Other values (64) 201
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
88.3%
Space Separator 67
 
11.2%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 65
 
12.4%
보 65
 
12.4%
마 54
 
10.3%
경 30
 
5.7%
사 28
 
5.3%
주 26
 
4.9%
국 20
 
3.8%
한 20
 
3.8%
회 20
 
3.8%
현 10
 
1.9%
Other values (62) 188
35.7%
Space Separator
ValueCountFrequency (%)
67
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
88.3%
Common 67
 
11.2%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 65
 
12.4%
보 65
 
12.4%
마 54
 
10.3%
경 30
 
5.7%
사 28
 
5.3%
주 26
 
4.9%
국 20
 
3.8%
한 20
 
3.8%
회 20
 
3.8%
현 10
 
1.9%
Other values (62) 188
35.7%
Common
ValueCountFrequency (%)
67
100.0%
Latin
ValueCountFrequency (%)
C 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
88.3%
ASCII 70
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
95.7%
C 3
 
4.3%
Hangul
ValueCountFrequency (%)
정 65
 
12.4%
보 65
 
12.4%
마 54
 
10.3%
경 30
 
5.7%
사 28
 
5.3%
주 26
 
4.9%
국 20
 
3.8%
한 20
 
3.8%
회 20
 
3.8%
현 10
 
1.9%
Other values (62) 188
35.7%

데이터셋설명
Text

Distinct40
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T12:52:17.984003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length72
Mean length62.78481
Min length8

Characters and Unicode

Total characters4960
Distinct characters192
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 (%)35.4%

Sample

1st row전국의 승마시설 정보입니다.(승마장명, 소재지, 주소)
2nd row경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보
3rd row경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보
4th row경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보
5th row경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보
ValueCountFrequency (%)
정보 45
 
4.9%
서울 40
 
4.4%
제주 40
 
4.4%
부산경남 40
 
4.4%
경마장에서 30
 
3.3%
경주마 30
 
3.3%
정보입니다 25
 
2.7%
시행된 22
 
2.4%
등 18
 
2.0%
입니다 16
 
1.8%
Other values (190) 607
66.5%
2023-12-11T12:52:18.568684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
17.3%
, 352
 
7.1%
경 223
 
4.5%
마 197
 
4.0%
정 194
 
3.9%
주 176
 
3.5%
보 172
 
3.5%
서 77
 
1.6%
출 73
 
1.5%
기 62
 
1.2%
Other values (182) 2576
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3555
71.7%
Space Separator 858
 
17.3%
Other Punctuation 421
 
8.5%
Dash Punctuation 47
 
0.9%
Close Punctuation 29
 
0.6%
Open Punctuation 29
 
0.6%
Lowercase Letter 10
 
0.2%
Uppercase Letter 7
 
0.1%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 223
 
6.3%
마 197
 
5.5%
정 194
 
5.5%
주 176
 
5.0%
보 172
 
4.8%
서 77
 
2.2%
출 73
 
2.1%
기 62
 
1.7%
입 61
 
1.7%
행 60
 
1.7%
Other values (162) 2260
63.6%
Lowercase Letter
ValueCountFrequency (%)
i 2
20.0%
r 2
20.0%
c 1
10.0%
g 1
10.0%
n 1
10.0%
t 1
10.0%
u 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 352
83.6%
. 58
 
13.8%
/ 7
 
1.7%
？ 4
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
85.7%
E 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3555
71.7%
Common 1388
 
28.0%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 223
 
6.3%
마 197
 
5.5%
정 194
 
5.5%
주 176
 
5.0%
보 172
 
4.8%
서 77
 
2.2%
출 73
 
2.1%
기 62
 
1.7%
입 61
 
1.7%
행 60
 
1.7%
Other values (162) 2260
63.6%
Common
ValueCountFrequency (%)
858
61.8%
, 352
25.4%
. 58
 
4.2%
- 47
 
3.4%
) 29
 
2.1%
( 29
 
2.1%
/ 7
 
0.5%
？ 4
 
0.3%
2 2
 
0.1%
0 2
 
0.1%
Latin
ValueCountFrequency (%)
C 6
35.3%
i 2
 
11.8%
r 2
 
11.8%
c 1
 
5.9%
g 1
 
5.9%
n 1
 
5.9%
t 1
 
5.9%
u 1
 
5.9%
e 1
 
5.9%
E 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3555
71.7%
ASCII 1401
 
28.2%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
61.2%
, 352
25.1%
. 58
 
4.1%
- 47
 
3.4%
) 29
 
2.1%
( 29
 
2.1%
/ 7
 
0.5%
C 6
 
0.4%
2 2
 
0.1%
i 2
 
0.1%
Other values (9) 11
 
0.8%
Hangul
ValueCountFrequency (%)
경 223
 
6.3%
마 197
 
5.5%
정 194
 
5.5%
주 176
 
5.0%
보 172
 
4.8%
서 77
 
2.2%
출 73
 
2.1%
기 62
 
1.7%
입 61
 
1.7%
행 60
 
1.7%
Other values (162) 2260
63.6%
None
ValueCountFrequency (%)
？ 4
100.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
한국마사회
79 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국마사회 79
100.0%

Length

2023-12-11T12:52:18.746759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:18.898650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국마사회 79
100.0%

담당자명
Categorical

Distinct5
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
장기영
54 
김영대
10 
박근문
9 
기관담당자
 
5
전은영
 
1

Length

Max length5
Median length3
Mean length3.1265823
Min length3

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
장기영 54
68.4%
김영대 10
 
12.7%
박근문 9
 
11.4%
기관담당자 5
 
6.3%
전은영 1
 
1.3%

Length

2023-12-11T12:52:19.078236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:19.264081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장기영 54
68.4%
김영대 10
 
12.7%
박근문 9
 
11.4%
기관담당자 5
 
6.3%
전은영 1
 
1.3%

전화번호
Categorical

Distinct6
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
0260063234
54 
025092516
9 
02-509-2523
7 
025092512
 
5
025092523
 
3

Length

Max length11
Median length10
Mean length9.8607595
Min length9

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row025092523
2nd row02-509-2523
3rd row02-509-2523
4th row02-509-2523
5th row02-509-2523

Common Values

ValueCountFrequency (%)
0260063234 54
68.4%
025092516 9
 
11.4%
02-509-2523 7
 
8.9%
025092512 5
 
6.3%
025092523 3
 
3.8%
025092518 1
 
1.3%

Length

2023-12-11T12:52:19.466099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:19.679657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0260063234 54
68.4%
025092516 9
 
11.4%
02-509-2523 7
 
8.9%
025092512 5
 
6.3%
025092523 3
 
3.8%
025092518 1
 
1.3%

키워드1
Categorical

Distinct22
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
경주마
16 
경주시행
13 
마사회
10 
경주결과
9 
마명
5 
Other values (17)
26 

Length

Max length4
Median length3
Mean length3.0632911
Min length2

Unique

Unique12 ?
Unique (%)15.2%

Sample

1st row승마장
2nd row경주마
3rd row경주마
4th row경주마
5th row경주마

Common Values

ValueCountFrequency (%)
경주마 16
20.3%
경주시행 13
16.5%
마사회 10
12.7%
경주결과 9
11.4%
마명 5
 
6.3%
마필 4
 
5.1%
기수 3
 
3.8%
경주 3
 
3.8%
마이카드 2
 
2.5%
승마 2
 
2.5%
Other values (12) 12
15.2%

Length

2023-12-11T12:52:19.911427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경주마 16
20.3%
경주시행 13
16.5%
마사회 10
12.7%
경주결과 9
11.4%
마명 5
 
6.3%
마필 4
 
5.1%
기수 3
 
3.8%
경주 3
 
3.8%
마이카드 2
 
2.5%
승마 2
 
2.5%
Other values (12) 12
15.2%

키워드2
Categorical

Distinct36
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
경주결과
9 
기수
7 
배당률
7 
진료
6 
출전정보
 
4
Other values (31)
46 

Length

Max length5
Median length4
Mean length3.0632911
Min length1

Unique

Unique20 ?
Unique (%)25.3%

Sample

1st row소재지
2nd row기수
3rd row기수
4th row기수
5th row기수

Common Values

ValueCountFrequency (%)
경주결과 9
 
11.4%
기수 7
 
8.9%
배당률 7
 
8.9%
진료 6
 
7.6%
출전정보 4
 
5.1%
경주마 3
 
3.8%
기수변경 3
 
3.8%
계약정보 3
 
3.8%
출발심사 3
 
3.8%
조교사 2
 
2.5%
Other values (26) 32
40.5%

Length

2023-12-11T12:52:20.126026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경주결과 9
 
11.7%
기수 8
 
10.4%
배당률 7
 
9.1%
진료 6
 
7.8%
출전정보 4
 
5.2%
경주마 3
 
3.9%
기수변경 3
 
3.9%
계약정보 3
 
3.9%
출발심사 3
 
3.9%
승마장 2
 
2.6%
Other values (24) 29
37.7%

키워드3
Categorical

Distinct31
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
심판
9 
조교사
8 
정보
8 
예상배당률
7 
마주
6 
Other values (26)
41 

Length

Max length5
Median length4
Mean length2.9367089
Min length1

Unique

Unique17 ?
Unique (%)21.5%

Sample

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

Common Values

ValueCountFrequency (%)
심판 9
 
11.4%
조교사 8
 
10.1%
정보 8
 
10.1%
예상배당률 7
 
8.9%
마주 6
 
7.6%
출전경주마 4
 
5.1%
3
 
3.8%
기수성적 3
 
3.8%
주행심사 3
 
3.8%
경주기록 3
 
3.8%
Other values (21) 25
31.6%

Length

2023-12-11T12:52:20.332901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
심판 9
 
11.8%
정보 8
 
10.5%
조교사 8
 
10.5%
예상배당률 7
 
9.2%
마주 6
 
7.9%
출전경주마 4
 
5.3%
기수성적 3
 
3.9%
주행심사 3
 
3.9%
경주기록 3
 
3.9%
소재지 2
 
2.6%
Other values (20) 23
30.3%

기타유의사항
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
79 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
79
100.0%

Length

2023-12-11T12:52:20.511356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:20.652288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

등록일
Real number (ℝ)

Distinct16
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20164160
Minimum20121017
Maximum20191017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-11T12:52:21.149231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121017
5-th percentile20140995
Q120161221
median20161221
Q320171009
95-th percentile20191014
Maximum20191017
Range70000
Interquartile range (IQR)9788

Descriptive statistics

Standard deviation14720.266
Coefficient of variation (CV)0.00073002129
Kurtosis0.68166581
Mean20164160
Median Absolute Deviation (MAD)0
Skewness-0.2040745
Sum1.5929686 × 109
Variance2.1668623 × 108
MonotonicityNot monotonic
2023-12-11T12:52:21.329609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20161221 43
54.4%
20191014 7
 
8.9%
20141015 6
 
7.6%
20181106 5
 
6.3%
20171009 5
 
6.3%
20170929 2
 
2.5%
20181105 2
 
2.5%
20191017 1
 
1.3%
20171121 1
 
1.3%
20140812 1
 
1.3%
Other values (6) 6
 
7.6%
ValueCountFrequency (%)
20121017 1
 
1.3%
20130219 1
 
1.3%
20131030 1
 
1.3%
20140812 1
 
1.3%
20141015 6
 
7.6%
20151027 1
 
1.3%
20161221 43
54.4%
20170928 1
 
1.3%
20170929 2
 
2.5%
20171009 5
 
6.3%
ValueCountFrequency (%)
20191017 1
 
1.3%
20191014 7
 
8.9%
20181120 1
 
1.3%
20181106 5
 
6.3%
20181105 2
 
2.5%
20171121 1
 
1.3%
20171009 5
 
6.3%
20170929 2
 
2.5%
20170928 1
 
1.3%
20161221 43
54.4%

데이터ID
Real number (ℝ)

Distinct13
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164679 × 1019
Minimum2.0141014 × 1019
Maximum2.0191017 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2023-12-11T12:52:21.516552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0141014 × 1019
5-th percentile2.0141015 × 1019
Q12.0161221 × 1019
median2.0161221 × 1019
Q32.0171009 × 1019
95-th percentile2.0191014 × 1019
Maximum2.0191017 × 1019
Range5.0003 × 1016
Interquartile range (IQR)9.788 × 1015

Descriptive statistics

Standard deviation1.3571774 × 1016
Coefficient of variation (CV)0.00067304686
Kurtosis-0.0083412376
Mean2.0164679 × 1019
Median Absolute Deviation (MAD)0
Skewness0.24751059
Sum1.5930096 × 1021
Variance1.8419304 × 1032
MonotonicityNot monotonic
2023-12-11T12:52:21.692299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.0161221e+19 43
54.4%
2.0141015e+19 9
 
11.4%
2.0191014e+19 7
 
8.9%
2.0171009e+19 5
 
6.3%
2.0181106e+19 5
 
6.3%
2.0170929e+19 2
 
2.5%
2.0181105e+19 2
 
2.5%
2.0141014e+19 1
 
1.3%
2.0151027e+19 1
 
1.3%
2.018112e+19 1
 
1.3%
Other values (3) 3
 
3.8%
ValueCountFrequency (%)
2.0141014e+19 1
 
1.3%
2.0141015e+19 9
 
11.4%
2.0151027e+19 1
 
1.3%
2.0161221e+19 43
54.4%
2.0170928e+19 1
 
1.3%
2.0170929e+19 2
 
2.5%
2.0171009e+19 5
 
6.3%
2.0171121e+19 1
 
1.3%
2.0181105e+19 2
 
2.5%
2.0181106e+19 5
 
6.3%
ValueCountFrequency (%)
2.0191017e+19 1
 
1.3%
2.0191014e+19 7
 
8.9%
2.018112e+19 1
 
1.3%
2.0181106e+19 5
 
6.3%
2.0181105e+19 2
 
2.5%
2.0171121e+19 1
 
1.3%
2.0171009e+19 5
 
6.3%
2.0170929e+19 2
 
2.5%
2.0170928e+19 1
 
1.3%
2.0161221e+19 43
54.4%

데이터명
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T12:52:22.037282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length10.594937
Min length3

Characters and Unicode

Total characters837
Distinct characters151
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

Unique79 ?
Unique (%)100.0%

Sample

1st row승마장 정보
2nd row경주마정보
3rd row기수 정보
4th row조교사 정보
5th row경주마정보 (출전정보)
ValueCountFrequency (%)
한국마사회 9
 
5.8%
정보 7
 
4.5%
서비스 6
 
3.8%
조회 6
 
3.8%
경주마정보 4
 
2.6%
주행심사결과 3
 
1.9%
전자입찰 3
 
1.9%
마이카드 2
 
1.3%
계좌고객 2
 
1.3%
조건별 2
 
1.3%
Other values (97) 112
71.8%
2023-12-11T12:52:22.583525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
9.8%
마 51
 
6.1%
정 37
 
4.4%
보 35
 
4.2%
경 30
 
3.6%
주 29
 
3.5%
사 21
 
2.5%
회 16
 
1.9%
출 15
 
1.8%
조 13
 
1.6%
Other values (141) 508
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 703
84.0%
Space Separator 82
 
9.8%
Close Punctuation 13
 
1.6%
Open Punctuation 13
 
1.6%
Other Punctuation 10
 
1.2%
Uppercase Letter 9
 
1.1%
Decimal Number 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 51
 
7.3%
정 37
 
5.3%
보 35
 
5.0%
경 30
 
4.3%
주 29
 
4.1%
사 21
 
3.0%
회 16
 
2.3%
출 15
 
2.1%
조 13
 
1.8%
승 13
 
1.8%
Other values (128) 443
63.0%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
0 2
28.6%
1 1
 
14.3%
3 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
T 2
22.2%
O 2
22.2%
P 2
22.2%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
/ 2
 
20.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 703
84.0%
Common 125
 
14.9%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 51
 
7.3%
정 37
 
5.3%
보 35
 
5.0%
경 30
 
4.3%
주 29
 
4.1%
사 21
 
3.0%
회 16
 
2.3%
출 15
 
2.1%
조 13
 
1.8%
승 13
 
1.8%
Other values (128) 443
63.0%
Common
ValueCountFrequency (%)
82
65.6%
) 13
 
10.4%
( 13
 
10.4%
, 8
 
6.4%
2 3
 
2.4%
0 2
 
1.6%
/ 2
 
1.6%
1 1
 
0.8%
3 1
 
0.8%
Latin
ValueCountFrequency (%)
C 3
33.3%
T 2
22.2%
O 2
22.2%
P 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 703
84.0%
ASCII 134
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
61.2%
) 13
 
9.7%
( 13
 
9.7%
, 8
 
6.0%
2 3
 
2.2%
C 3
 
2.2%
T 2
 
1.5%
O 2
 
1.5%
P 2
 
1.5%
0 2
 
1.5%
Other values (3) 4
 
3.0%
Hangul
ValueCountFrequency (%)
마 51
 
7.3%
정 37
 
5.3%
보 35
 
5.0%
경 30
 
4.3%
주 29
 
4.1%
사 21
 
3.0%
회 16
 
2.3%
출 15
 
2.1%
조 13
 
1.8%
승 13
 
1.8%
Other values (128) 443
63.0%

데이터설명
Text

Distinct73
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T12:52:22.987733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length43
Mean length34.202532
Min length6

Characters and Unicode

Total characters2702
Distinct characters220
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

Unique69 ?
Unique (%)87.3%

Sample

1st row우리나라 전국에 운영중인 승마장 인가업체 정보
2nd row경마에 출전하는 현역 경주마 정보
3rd row경주마에 기승하는 선수
4th row경주마를 위탁관리하는 감독
5th row경마에 출전하는 경주마 정보
ValueCountFrequency (%)
서울 35
 
6.4%
부산경남 35
 
6.4%
제주 34
 
6.2%
정보입니다 24
 
4.4%
경마장에서 23
 
4.2%
등 17
 
3.1%
시행된 16
 
2.9%
경주마 13
 
2.4%
경마장의 11
 
2.0%
정보 10
 
1.8%
Other values (210) 327
60.0%
2023-12-11T12:52:23.572922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
 
17.7%
, 139
 
5.1%
경 133
 
4.9%
마 131
 
4.8%
주 93
 
3.4%
정 68
 
2.5%
서 66
 
2.4%
보 59
 
2.2%
입 54
 
2.0%
니 52
 
1.9%
Other values (210) 1430
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1915
70.9%
Space Separator 477
 
17.7%
Other Punctuation 195
 
7.2%
Lowercase Letter 64
 
2.4%
Close Punctuation 20
 
0.7%
Open Punctuation 20
 
0.7%
Uppercase Letter 6
 
0.2%
Decimal Number 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 133
 
6.9%
마 131
 
6.8%
주 93
 
4.9%
정 68
 
3.6%
서 66
 
3.4%
보 59
 
3.1%
입 54
 
2.8%
니 52
 
2.7%
다 52
 
2.7%
제 51
 
2.7%
Other values (176) 1156
60.4%
Lowercase Letter
ValueCountFrequency (%)
i 10
15.6%
e 8
12.5%
r 7
10.9%
s 7
10.9%
n 5
7.8%
t 4
 
6.2%
c 3
 
4.7%
a 3
 
4.7%
o 3
 
4.7%
u 2
 
3.1%
Other values (10) 12
18.8%
Other Punctuation
ValueCountFrequency (%)
, 139
71.3%
. 51
 
26.2%
/ 3
 
1.5%
· 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
A 1
 
16.7%
E 1
 
16.7%
V 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 2
50.0%
Space Separator
ValueCountFrequency (%)
477
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1915
70.9%
Common 717
 
26.5%
Latin 70
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 133
 
6.9%
마 131
 
6.8%
주 93
 
4.9%
정 68
 
3.6%
서 66
 
3.4%
보 59
 
3.1%
입 54
 
2.8%
니 52
 
2.7%
다 52
 
2.7%
제 51
 
2.7%
Other values (176) 1156
60.4%
Latin
ValueCountFrequency (%)
i 10
14.3%
e 8
11.4%
r 7
10.0%
s 7
10.0%
n 5
 
7.1%
t 4
 
5.7%
c 3
 
4.3%
a 3
 
4.3%
o 3
 
4.3%
C 3
 
4.3%
Other values (14) 17
24.3%
Common
ValueCountFrequency (%)
477
66.5%
, 139
 
19.4%
. 51
 
7.1%
) 20
 
2.8%
( 20
 
2.8%
/ 3
 
0.4%
2 2
 
0.3%
0 2
 
0.3%
· 2
 
0.3%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1915
70.9%
ASCII 785
29.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
60.8%
, 139
 
17.7%
. 51
 
6.5%
) 20
 
2.5%
( 20
 
2.5%
i 10
 
1.3%
e 8
 
1.0%
r 7
 
0.9%
s 7
 
0.9%
n 5
 
0.6%
Other values (23) 41
 
5.2%
Hangul
ValueCountFrequency (%)
경 133
 
6.9%
마 131
 
6.8%
주 93
 
4.9%
정 68
 
3.6%
서 66
 
3.4%
보 59
 
3.1%
입 54
 
2.8%
니 52
 
2.7%
다 52
 
2.7%
제 51
 
2.7%
Other values (176) 1156
60.4%
None
ValueCountFrequency (%)
· 2
100.0%

제3자권리포함유무
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
포함
68 
미포함
11 

Length

Max length3
Median length2
Mean length2.1392405
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미포함
2nd row포함
3rd row포함
4th row포함
5th row포함

Common Values

ValueCountFrequency (%)
포함 68
86.1%
미포함 11
 
13.9%

Length

2023-12-11T12:52:23.734701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:23.881816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포함 68
86.1%
미포함 11
 
13.9%

상위분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
말산업
79 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
말산업 79
100.0%

Length

2023-12-11T12:52:24.003470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:24.124245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말산업 79
100.0%

제3자권리
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
포함
68 
미포함
11 

Length

Max length3
Median length2
Mean length2.1392405
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미포함
2nd row포함
3rd row포함
4th row포함
5th row포함

Common Values

ValueCountFrequency (%)
포함 68
86.1%
미포함 11
 
13.9%

Length

2023-12-11T12:52:24.244711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:24.367949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포함 68
86.1%
미포함 11
 
13.9%

이용허락범위
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
저작권표시
51 
<NA>
11 
저작권표시+비영리+변경금지
9 
저작권표시+동일조건변경허락
8 

Length

Max length14
Median length5
Mean length6.7974684
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row저작권표시+비영리+변경금지
3rd row저작권표시+비영리+변경금지
4th row저작권표시+비영리+변경금지
5th row저작권표시+비영리+변경금지

Common Values

ValueCountFrequency (%)
저작권표시 51
64.6%
<NA> 11
 
13.9%
저작권표시+비영리+변경금지 9
 
11.4%
저작권표시+동일조건변경허락 8
 
10.1%

Length

2023-12-11T12:52:24.479692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:24.609436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저작권표시 51
64.6%
na 11
 
13.9%
저작권표시+비영리+변경금지 9
 
11.4%
저작권표시+동일조건변경허락 8
 
10.1%

업데이트주기
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
수시
45 
주기없음
24 
주간
9 
일간
 
1

Length

Max length4
Median length2
Mean length2.6075949
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
수시 45
57.0%
주기없음 24
30.4%
주간 9
 
11.4%
일간 1
 
1.3%

Length

2023-12-11T12:52:24.761190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:52:24.908577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 45
57.0%
주기없음 24
30.4%
주간 9
 
11.4%
일간 1
 
1.3%

그리드
Boolean

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
68 
True
11 
ValueCountFrequency (%)
False 68
86.1%
True 11
 
13.9%
2023-12-11T12:52:25.030900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

오픈API
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
True
71 
False
8 
ValueCountFrequency (%)
True 71
89.9%
False 8
 
10.1%
2023-12-11T12:52:25.140831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

파일
Boolean

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
69 
True
10 
ValueCountFrequency (%)
False 69
87.3%
True 10
 
12.7%
2023-12-11T12:52:25.267699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

원시데이터
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
75 
True
 
4
ValueCountFrequency (%)
False 75
94.9%
True 4
 
5.1%
2023-12-11T12:52:25.394673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지도
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
78 
True
 
1
ValueCountFrequency (%)
False 78
98.7%
True 1
 
1.3%
2023-12-11T12:52:25.505255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

챠트
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
79 
ValueCountFrequency (%)
False 79
100.0%
2023-12-11T12:52:25.636319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

링크
Boolean

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size211.0 B
False
60 
True
19 
ValueCountFrequency (%)
False 60
75.9%
True 19
 
24.1%
2023-12-11T12:52:25.744974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

링크URL
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing60
Missing (%)75.9%
Memory size764.0 B
2023-12-11T12:52:26.004770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length69
Mean length80.789474
Min length35

Characters and Unicode

Total characters1535
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st rowhttp://studbook.kra.co.kr/html/info/com/s_rhr_list2_excel.jsp
2nd rowhttp://allhorse.kra.co.kr/ked/html/other/s_cause_q_r3.jsp
3rd rowhttp://apis.data.go.kr/B551015/API179
4th rowhttp://apis.data.go.kr/B551015/API5
5th rowhttps://kradata.kra.co.kr/open/SHEET/view.do?menu_cd=MENU_2_05&rid=67&pageIndex=1&searchType=&searchKeyword=&catecode=&orderBy=SVC_NM&sort=
ValueCountFrequency (%)
http://studbook.kra.co.kr/html/info/com/s_rhr_list2_excel.jsp 1
 
5.3%
https://kradata.kra.co.kr/open/sheet/view.do?menu_cd=menu_2_05&rid=60&pageindex=1&searchtype=&searchkeyword=&catecode=&orderby=svc_nm&sort 1
 
5.3%
http://apis.data.go.kr/b551015/api180 1
 
5.3%
http://apis.data.go.kr/b551015/api184 1
 
5.3%
http://apis.data.go.kr/b551015/api183 1
 
5.3%
http://apis.data.go.kr/b551015/api182 1
 
5.3%
http://apis.data.go.kr/b551015/api26 1
 
5.3%
https://kradata.kra.co.kr/open/sheet/view.do?menu_cd=menu_2_05&rid=72&pageindex=1&searchtype=&searchkeyword=&catecode=&orderby=svc_nm&sort 1
 
5.3%
https://kradata.kra.co.kr/open/sheet/view.do?menu_cd=menu_2_05&rid=59&pageindex=1&searchtype=&searchkeyword=&catecode=&orderby=svc_nm&sort 1
 
5.3%
https://kradata.kra.co.kr/open/sheet/view.do?menu_cd=menu_2_05&rid=61&pageindex=1&searchtype=&searchkeyword=&catecode=&orderby=svc_nm&sort 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T12:52:26.491742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 98
 
6.4%
r 95
 
6.2%
a 94
 
6.1%
/ 90
 
5.9%
t 76
 
5.0%
d 76
 
5.0%
o 73
 
4.8%
. 69
 
4.5%
= 60
 
3.9%
p 53
 
3.5%
Other values (46) 751
48.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 903
58.8%
Other Punctuation 238
 
15.5%
Uppercase Letter 172
 
11.2%
Decimal Number 122
 
7.9%
Math Symbol 60
 
3.9%
Connector Punctuation 40
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 98
10.9%
r 95
10.5%
a 94
10.4%
t 76
 
8.4%
d 76
 
8.4%
o 73
 
8.1%
p 53
 
5.9%
c 51
 
5.6%
s 47
 
5.2%
k 41
 
4.5%
Other values (15) 199
22.0%
Uppercase Letter
ValueCountFrequency (%)
E 27
15.7%
M 16
9.3%
T 16
9.3%
S 16
9.3%
N 16
9.3%
I 14
8.1%
B 14
8.1%
U 9
 
5.2%
H 9
 
5.2%
A 7
 
4.1%
Other values (4) 28
16.3%
Decimal Number
ValueCountFrequency (%)
1 33
27.0%
5 31
25.4%
0 23
18.9%
2 10
 
8.2%
6 9
 
7.4%
8 5
 
4.1%
3 4
 
3.3%
7 3
 
2.5%
9 2
 
1.6%
4 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 90
37.8%
. 69
29.0%
& 51
21.4%
: 19
 
8.0%
? 9
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1075
70.0%
Common 460
30.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 98
 
9.1%
r 95
 
8.8%
a 94
 
8.7%
t 76
 
7.1%
d 76
 
7.1%
o 73
 
6.8%
p 53
 
4.9%
c 51
 
4.7%
s 47
 
4.4%
k 41
 
3.8%
Other values (29) 371
34.5%
Common
ValueCountFrequency (%)
/ 90
19.6%
. 69
15.0%
= 60
13.0%
& 51
11.1%
_ 40
8.7%
1 33
 
7.2%
5 31
 
6.7%
0 23
 
5.0%
: 19
 
4.1%
2 10
 
2.2%
Other values (7) 34
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 98
 
6.4%
r 95
 
6.2%
a 94
 
6.1%
/ 90
 
5.9%
t 76
 
5.0%
d 76
 
5.0%
o 73
 
4.8%
. 69
 
4.5%
= 60
 
3.9%
p 53
 
3.5%
Other values (46) 751
48.9%

공공데이터포털URL
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2023-12-11T12:52:26.921838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length90
Mean length90
Min length90

Characters and Unicode

Total characters7110
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)100.0%

Sample

1st rowhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141014000000000070
2nd rowhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000193
3rd rowhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000194
4th rowhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000195
5th rowhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000196
ValueCountFrequency (%)
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20141014000000000070 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20171009000000000859 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20170928000000000856 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000724 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000723 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000722 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000721 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000720 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000719 1
 
1.3%
https://data.mafra.go.kr/opendata/data/indexopendatadetail.do?data_id=20161221000000000717 1
 
1.3%
Other values (69) 69
87.3%
2023-12-11T12:52:27.542369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1027
14.4%
0 849
 
11.9%
t 632
 
8.9%
d 553
 
7.8%
/ 395
 
5.6%
. 316
 
4.4%
e 316
 
4.4%
1 271
 
3.8%
i 237
 
3.3%
o 237
 
3.3%
Other values (25) 2277
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4266
60.0%
Decimal Number 1580
 
22.2%
Other Punctuation 869
 
12.2%
Uppercase Letter 237
 
3.3%
Connector Punctuation 79
 
1.1%
Math Symbol 79
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1027
24.1%
t 632
14.8%
d 553
13.0%
e 316
 
7.4%
i 237
 
5.6%
o 237
 
5.6%
p 237
 
5.6%
n 237
 
5.6%
r 158
 
3.7%
l 79
 
1.9%
Other values (7) 553
13.0%
Decimal Number
ValueCountFrequency (%)
0 849
53.7%
1 271
 
17.2%
2 193
 
12.2%
6 78
 
4.9%
9 50
 
3.2%
7 45
 
2.8%
8 35
 
2.2%
4 26
 
1.6%
5 21
 
1.3%
3 12
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 395
45.5%
. 316
36.4%
? 79
 
9.1%
: 79
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
D 158
66.7%
O 79
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Math Symbol
ValueCountFrequency (%)
= 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4503
63.3%
Common 2607
36.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1027
22.8%
t 632
14.0%
d 553
12.3%
e 316
 
7.0%
i 237
 
5.3%
o 237
 
5.3%
p 237
 
5.3%
n 237
 
5.3%
r 158
 
3.5%
D 158
 
3.5%
Other values (9) 711
15.8%
Common
ValueCountFrequency (%)
0 849
32.6%
/ 395
15.2%
. 316
 
12.1%
1 271
 
10.4%
2 193
 
7.4%
_ 79
 
3.0%
? 79
 
3.0%
= 79
 
3.0%
: 79
 
3.0%
6 78
 
3.0%
Other values (6) 189
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1027
14.4%
0 849
 
11.9%
t 632
 
8.9%
d 553
 
7.8%
/ 395
 
5.6%
. 316
 
4.4%
e 316
 
4.4%
1 271
 
3.8%
i 237
 
3.3%
o 237
 
3.3%
Other values (25) 2277
32.0%

Sample

데이터셋ID데이터셋명데이터셋설명기관명담당자명전화번호키워드1키워드2키워드3기타유의사항등록일데이터ID데이터명데이터설명제3자권리포함유무상위분류제3자권리이용허락범위업데이트주기그리드오픈API파일원시데이터지도챠트링크링크URL공공데이터포털URL
020141014000000000057승마시설정보전국의 승마시설 정보입니다.(승마장명, 소재지, 주소)한국마사회김영대025092523승마장소재지2014081220141014000000000070승마장 정보우리나라 전국에 운영중인 승마장 인가업체 정보미포함말산업미포함<NA>주간YYYYYNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141014000000000070
120141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2014101520141015000000000193경주마정보경마에 출전하는 현역 경주마 정보포함말산업포함저작권표시+비영리+변경금지주간YYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000193
220141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2014101520141015000000000194기수 정보경주마에 기승하는 선수포함말산업포함저작권표시+비영리+변경금지주간YYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000194
320141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2013021920141015000000000195조교사 정보경주마를 위탁관리하는 감독포함말산업포함저작권표시+비영리+변경금지주간YYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000195
420141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2014101520141015000000000196경주마정보 (출전정보)경마에 출전하는 경주마 정보포함말산업포함저작권표시+비영리+변경금지주간YYNYNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000196
520141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2014101520141015000000000197경주마정보 (주행심사결과)경마출주전 주행능력을 평가하는 주행검사 결과(성적)포함말산업포함저작권표시+비영리+변경금지주간YYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000197
620141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2013103020141015000000000198경주마정보 (경주결과)경마시행일 경주별 경기결과(성적)포함말산업포함저작권표시+비영리+변경금지주간YYNYNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000198
720141015000000000118경마정보경마시행에 관련된 경주마, 기수, 조교사 정보 및 출전정보한국마사회김영대02-509-2523경주마기수조교사2014101520141015000000000199훈련 정보경주마의 아침조교 훈련내역포함말산업포함저작권표시+비영리+변경금지일간YYNYNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000199
820141015000000000119경주마 등록정보경주마 등록 및 혈통에 관련된 정보한국마사회김영대025092523없음2014101520141015000000000200경주마 등록 내역경주마의 마명등록 및 혈통에 관련된 정보포함말산업포함저작권표시+비영리+변경금지주간YYNNNNYhttp://studbook.kra.co.kr/html/info/com/s_rhr_list2_excel.jsphttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000200
920141015000000000123승용마 및 제주산말의 등록정보승용마, 제주산마의 말등록정보한국마사회김영대025092523제주산마2012101720141015000000000201승용마 및 제주산 등록 내역승용마 및 제주산 말의 등록정보포함말산업포함저작권표시+비영리+변경금지주간YYNNNNYhttp://allhorse.kra.co.kr/ked/html/other/s_cause_q_r3.jsphttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20141015000000000201
데이터셋ID데이터셋명데이터셋설명기관명담당자명전화번호키워드1키워드2키워드3기타유의사항등록일데이터ID데이터명데이터설명제3자권리포함유무상위분류제3자권리이용허락범위업데이트주기그리드오픈API파일원시데이터지도챠트링크링크URL공공데이터포털URL
6920181106000000000460한국마사회 승마 정보한국마사회 승마(승마시설명, 위치, 연락처, 승용마 정보 등) 데이터를 제공합니다.한국마사회장기영0260063234마사회승마정보2018110620181106000000001010승마장 조회 서비스한국마사회 승마(승마시설명, 위치, 연락처, 승용마 정보 등) 데이터를 제공합니다.포함말산업포함저작권표시+동일조건변경허락주기없음NYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181106000000001010
7020181106000000000461한국마사회 승용마 정보한국마사회 승용마(승용마 이름, 고유번호, 출생일자 등) 데이터를 제공합니다.한국마사회장기영0260063234마사회승용마정보2018110620181106000000001011승용마 조회 서비스saddle horse View service포함말산업포함저작권표시+동일조건변경허락주기없음NYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181106000000001011
7120181106000000000462한국마사회 조교사 정보한국마사회 조교사(조교사 프로필, 경주성적 등) 데이터를 제공합니다.한국마사회장기영0260063234마사회조교사정보2018110620181106000000001012조교사정보 조회 서비스Assistant information inquiry service포함말산업포함저작권표시+동일조건변경허락주기없음NYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181106000000001012
7220181106000000000463한국마사회 경마심사 정보한국마사회 경마심사(주행심사, 출발심사 결과 등) 데이터를 제공합니다.한국마사회장기영0260063234마사회경마심사정보2018110620181106000000001013주행심사결과 조회 서비스한국마사회 경마심사(주행심사, 출발심사 결과 등) 데이터를 제공합니다.포함말산업포함저작권표시+동일조건변경허락주기없음NYNNNNN<NA>https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20181106000000001013
7320181106000000000464한국마사회 경주출전 정보한국마사회 경주출전(경주일자, 기승기수, 경주마 등) 데이터를 제공합니다.한국마사회장기영0260063234마사회경주출전정보2019101420191014000000001287한국마사회 출전표 상세정보한국마사회 경주출전(경주일자, 기승기수, 경주마 등) 데이터를 제공합니다.미포함말산업미포함<NA>주기없음NNNNNNYhttp://apis.data.go.kr/B551015/API26https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001287
7420191014000000000587한국마사회 계약정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)한국마사회기관담당자025092512마사회계약정보정보2019101420191014000000001291한국마사회 전자입찰 공고정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)미포함말산업미포함<NA>주기없음NNNNNNYhttp://apis.data.go.kr/B551015/API182https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001291
7520191014000000000587한국마사회 계약정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)한국마사회기관담당자025092512마사회계약정보정보2019101420191014000000001292한국마사회 전자입찰 낙찰정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)미포함말산업미포함<NA>주기없음NNNNNNYhttp://apis.data.go.kr/B551015/API183https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001292
7620191014000000000587한국마사회 계약정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)한국마사회기관담당자025092512마사회계약정보정보2019101420191014000000001293한국마사회 전자입찰 계약정보한국마사회에서 제공하는 전자입찰 정보입니다.(계약정보, 낙찰정보, 공고정보 등)미포함말산업미포함<NA>주기없음NNNNNNYhttp://apis.data.go.kr/B551015/API184https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001293
7720191014000000000590한국마사회 제재내역한국마사회에서 제공하는 경마 기수, 말에 대한 제재내역 정보(경마장명, 경주일자, 제재시작일자, 제재종료일자, 세부내용, 과태금등)한국마사회기관담당자025092512마사회제제내역과태금2019101420191014000000001300한국마사회 경마 기수,말 제재내용한국마사회에서 제공하는 경마 기수, 말에 대한 제재내역 정보(경마장명, 경주일자, 제재시작일자, 제재종료일자, 세부내용, 과태금등)미포함말산업미포함<NA>주기없음NNNNNNYhttp://apis.data.go.kr/B551015/API180https://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001300
7820191017000000000623한국마사회 육성훈련심사 정보한국 마사회에서 제공하는 말의 육성에 대한 정보입니다.( 마명, 조교사명, 출추횟수, 일착횟수, 이착횟수등)한국마사회기관담당자025092512육성말사업마사회2019101720191017000000001374한국마사회 육성훈련심사 정보한국 마사회에서 제공하는 말의 육성에 대한 정보입니다.( 마명, 조교사명, 출추횟수, 일착횟수, 이착횟수등)미포함말산업미포함<NA>주기없음NNNNNNYhttps://www.data.go.kr/dataset/15036581/openapi.dohttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191017000000001374