Overview

Dataset statistics

Number of variables7
Number of observations28
Missing cells2
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory61.7 B

Variable types

Text3
Categorical2
DateTime2

Dataset

Description용인시 골프장 현황
Author경기도 용인시
URLhttps://www.data.go.kr/data/15003149/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업계획 승인일 has 2 (7.1%) missing valuesMissing
골프장명 has unique valuesUnique
면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:01:12.827850
Analysis finished2023-12-12 15:01:13.368264
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

골프장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T00:01:13.529590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8928571
Min length2

Characters and Unicode

Total characters221
Distinct characters73
Distinct categories7 ?
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 (%)100.0%

Sample

1st row플라자(한화호텔앤드리조트㈜)
2nd row골드(기흥관광개발)
3rd row태광(태광관광개발)
4th row태광대중(태광관광개발)
5th row한원(한원)
ValueCountFrequency (%)
대중 2
 
6.7%
블루원용인 2
 
6.7%
플라자(한화호텔앤드리조트㈜ 1
 
3.3%
골드(기흥관광개발 1
 
3.3%
용인flc(㈜ 1
 
3.3%
석천 1
 
3.3%
용인대중 1
 
3.3%
글렌로스대중 1
 
3.3%
레이크힐스용인 1
 
3.3%
레이크사이드대중 1
 
3.3%
Other values (18) 18
60.0%
2023-12-13T00:01:13.918886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 15
 
6.8%
) 14
 
6.3%
리 9
 
4.1%
광 9
 
4.1%
중 8
 
3.6%
대 8
 
3.6%
개 6
 
2.7%
인 6
 
2.7%
원 6
 
2.7%
발 6
 
2.7%
Other values (63) 134
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
80.5%
Open Punctuation 15
 
6.8%
Close Punctuation 14
 
6.3%
Uppercase Letter 5
 
2.3%
Other Symbol 4
 
1.8%
Space Separator 3
 
1.4%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 9
 
5.1%
광 9
 
5.1%
중 8
 
4.5%
대 8
 
4.5%
개 6
 
3.4%
인 6
 
3.4%
원 6
 
3.4%
발 6
 
3.4%
산 6
 
3.4%
트 6
 
3.4%
Other values (55) 108
60.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
60.0%
F 1
 
20.0%
L 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
82.4%
Common 34
 
15.4%
Latin 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 9
 
4.9%
광 9
 
4.9%
중 8
 
4.4%
대 8
 
4.4%
개 6
 
3.3%
인 6
 
3.3%
원 6
 
3.3%
발 6
 
3.3%
산 6
 
3.3%
트 6
 
3.3%
Other values (56) 112
61.5%
Common
ValueCountFrequency (%)
( 15
44.1%
) 14
41.2%
3
 
8.8%
8 2
 
5.9%
Latin
ValueCountFrequency (%)
C 3
60.0%
F 1
 
20.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
80.5%
ASCII 39
 
17.6%
None 4
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 15
38.5%
) 14
35.9%
3
 
7.7%
C 3
 
7.7%
8 2
 
5.1%
F 1
 
2.6%
L 1
 
2.6%
Hangul
ValueCountFrequency (%)
리 9
 
5.1%
광 9
 
5.1%
중 8
 
4.5%
대 8
 
4.5%
개 6
 
3.4%
인 6
 
3.4%
원 6
 
3.4%
발 6
 
3.4%
산 6
 
3.4%
트 6
 
3.4%
Other values (55) 108
60.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

주소
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T00:01:14.208273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.714286
Min length19

Characters and Unicode

Total characters692
Distinct characters76
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)71.4%

Sample

1st row경기도 용인시 처인구 남사면 봉무로 153번길 79
2nd row경기도 용인시 기흥구 기흥단지로 398
3rd row경기도 용인시 기흥구 흥덕4로 77
4th row경기도 용인시 기흥구 흥덕4로 77(영덕동)
5th row경기도 용인시 처인구 남사면 전나무골길 2번길 94
ValueCountFrequency (%)
경기도 28
16.7%
용인시 28
16.7%
처인구 19
 
11.3%
기흥구 9
 
5.4%
원삼면 4
 
2.4%
남사면 3
 
1.8%
기흥단지로 3
 
1.8%
이동읍 3
 
1.8%
백암면 3
 
1.8%
181 2
 
1.2%
Other values (54) 66
39.3%
2023-12-13T00:01:14.609266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
20.2%
인 47
 
6.8%
기 41
 
5.9%
경 29
 
4.2%
구 29
 
4.2%
도 28
 
4.0%
용 28
 
4.0%
시 28
 
4.0%
로 27
 
3.9%
처 19
 
2.7%
Other values (66) 276
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
63.3%
Space Separator 140
 
20.2%
Decimal Number 109
 
15.8%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 47
 
10.7%
기 41
 
9.4%
경 29
 
6.6%
구 29
 
6.6%
도 28
 
6.4%
용 28
 
6.4%
시 28
 
6.4%
로 27
 
6.2%
처 19
 
4.3%
흥 14
 
3.2%
Other values (52) 148
33.8%
Decimal Number
ValueCountFrequency (%)
2 17
15.6%
1 15
13.8%
5 15
13.8%
0 13
11.9%
9 10
9.2%
4 10
9.2%
7 8
7.3%
6 8
7.3%
3 7
6.4%
8 6
 
5.5%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
63.3%
Common 254
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 47
 
10.7%
기 41
 
9.4%
경 29
 
6.6%
구 29
 
6.6%
도 28
 
6.4%
용 28
 
6.4%
시 28
 
6.4%
로 27
 
6.2%
처 19
 
4.3%
흥 14
 
3.2%
Other values (52) 148
33.8%
Common
ValueCountFrequency (%)
140
55.1%
2 17
 
6.7%
1 15
 
5.9%
5 15
 
5.9%
0 13
 
5.1%
9 10
 
3.9%
4 10
 
3.9%
7 8
 
3.1%
6 8
 
3.1%
3 7
 
2.8%
Other values (4) 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
63.3%
ASCII 254
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
55.1%
2 17
 
6.7%
1 15
 
5.9%
5 15
 
5.9%
0 13
 
5.1%
9 10
 
3.9%
4 10
 
3.9%
7 8
 
3.1%
6 8
 
3.1%
3 7
 
2.8%
Other values (4) 11
 
4.3%
Hangul
ValueCountFrequency (%)
인 47
 
10.7%
기 41
 
9.4%
경 29
 
6.6%
구 29
 
6.6%
도 28
 
6.4%
용 28
 
6.4%
시 28
 
6.4%
로 27
 
6.2%
처 19
 
4.3%
흥 14
 
3.2%
Other values (52) 148
33.8%

홀수
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
27
9 
9
7 
36
6 
18
6 

Length

Max length2
Median length2
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36
2nd row36
3rd row27
4th row9
5th row27

Common Values

ValueCountFrequency (%)
27 9
32.1%
9 7
25.0%
36 6
21.4%
18 6
21.4%

Length

2023-12-13T00:01:14.796214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:14.929611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27 9
32.1%
9 7
25.0%
36 6
21.4%
18 6
21.4%

면적
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T00:01:15.145700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.2857143
Min length7

Characters and Unicode

Total characters232
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

Unique28 ?
Unique (%)100.0%

Sample

1st row1,899,082
2nd row1,366,197
3rd row1,088,905
4th row391,788
5th row1,035,930
ValueCountFrequency (%)
1,899,082 1
 
3.6%
1,366,197 1
 
3.6%
1,032,853 1
 
3.6%
241,685 1
 
3.6%
221,886 1
 
3.6%
465,916 1
 
3.6%
1,584,819 1
 
3.6%
439,688 1
 
3.6%
1,079,049 1
 
3.6%
3,198,002 1
 
3.6%
Other values (18) 18
64.3%
2023-12-13T00:01:15.528900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 46
19.8%
1 33
14.2%
9 23
9.9%
8 22
9.5%
2 21
9.1%
6 18
 
7.8%
0 16
 
6.9%
3 16
 
6.9%
7 15
 
6.5%
4 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
80.2%
Other Punctuation 46
 
19.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
17.7%
9 23
12.4%
8 22
11.8%
2 21
11.3%
6 18
9.7%
0 16
8.6%
3 16
8.6%
7 15
8.1%
4 12
 
6.5%
5 10
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 46
19.8%
1 33
14.2%
9 23
9.9%
8 22
9.5%
2 21
9.1%
6 18
 
7.8%
0 16
 
6.9%
3 16
 
6.9%
7 15
 
6.5%
4 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 46
19.8%
1 33
14.2%
9 23
9.9%
8 22
9.5%
2 21
9.1%
6 18
 
7.8%
0 16
 
6.9%
3 16
 
6.9%
7 15
 
6.5%
4 12
 
5.2%

사업계획 승인일
Date

MISSING 

Distinct23
Distinct (%)88.5%
Missing2
Missing (%)7.1%
Memory size356.0 B
Minimum1970-08-30 00:00:00
Maximum2010-10-22 00:00:00
2023-12-13T00:01:15.654740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:15.790624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

등록일
Date

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1970-10-13 00:00:00
Maximum2012-10-26 00:00:00
2023-12-13T00:01:15.916488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:16.079106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2015-01-30
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-01-30
2nd row2015-01-30
3rd row2015-01-30
4th row2015-01-30
5th row2015-01-30

Common Values

ValueCountFrequency (%)
2015-01-30 28
100.0%

Length

2023-12-13T00:01:16.207415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:16.579432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-01-30 28
100.0%

Correlations

2023-12-13T00:01:16.635012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
골프장명주소홀수면적사업계획 승인일등록일
골프장명1.0001.0001.0001.0001.0001.000
주소1.0001.0000.6981.0000.9720.993
홀수1.0000.6981.0001.0000.8150.890
면적1.0001.0001.0001.0001.0001.000
사업계획 승인일1.0000.9720.8151.0001.0000.972
등록일1.0000.9930.8901.0000.9721.000

Missing values

2023-12-13T00:01:13.179874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:01:13.317027image/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

골프장명주소홀수면적사업계획 승인일등록일데이터기준일자
0플라자(한화호텔앤드리조트㈜)경기도 용인시 처인구 남사면 봉무로 153번길 79361,899,0821974-03-201981-11-302015-01-30
1골드(기흥관광개발)경기도 용인시 기흥구 기흥단지로 398361,366,1971984-03-031986-09-152015-01-30
2태광(태광관광개발)경기도 용인시 기흥구 흥덕4로 77271,088,9051982-01-191984-04-282015-01-30
3태광대중(태광관광개발)경기도 용인시 기흥구 흥덕4로 77(영덕동)9391,7881995-06-071997-01-222015-01-30
4한원(한원)경기도 용인시 처인구 남사면 전나무골길 2번길 94271,035,930<NA>1970-10-132015-01-30
5파인리조트경기도 용인시 처인구 양지면 남평로 112271,672,0741970-08-301971-11-242015-01-30
6화산(화산개발)경기도 용인시 처인구 이동읍 화산로 239181,039,2721989-06-211996-09-202015-01-30
7수원경기도 용인시 기흥구 중부대로 495361,482,979<NA>1975-04-262015-01-30
8한성(한성관광개발)경기도 용인시 기흥구 구교동로 151271,411,3981982-06-191984-06-042015-01-30
988(국가보훈처)경기도 용인시 기흥구 석성로 521번길 169362,814,7621985-12-261988-06-082015-01-30
골프장명주소홀수면적사업계획 승인일등록일데이터기준일자
18레이크사이드경기도 용인시 처인구 모현읍 능원로 18118973,9621989-12-231997-09-062015-01-30
19레이크사이드대중경기도 용인시 처인구 모현읍 능원로 181363,198,0021987-12-291990-10-152015-01-30
20블루원용인경기도 용인시 처인구 원삼면 보개원삼로 1534번길 40181,079,0491990-01-081993-08-232015-01-30
21블루원용인 대중경기도 용인시 처인구 원삼면 보개원삼로 1534번길 409439,6881990-01-081993-08-232015-01-30
22레이크힐스용인경기도 용인시 처인구 남사면 경기동로 628271,584,8191989-10-071998-06-032015-01-30
23글렌로스대중경기도 용인시 처인구 포곡읍 에버랜드로 562번길 699465,9161995-05-041999-09-172015-01-30
24용인대중경기도 용인시 처인구 백암면 황새울로 2559221,8862002-03-292005-11-042015-01-30
25석천 대중경기도 용인시 처인구 백암면 황새울로 2559241,6852003-01-212005-11-042015-01-30
26용인FLC(㈜경기도 용인시 처인구 백암면 고안로 51번길 205181,032,8532010-10-222012-09-032015-01-30
27해솔리아CC경기도 용인시 처인구 이동읍 백자로 297번길 74271,666,8102010-05-272012-10-262015-01-30