Overview

Dataset statistics

Number of variables5
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory41.9 B

Variable types

Numeric1
DateTime1
Text2
Categorical1

Dataset

Description타인의 수요에 맞추어 유상으로 비행선, 활공기, 경량항공기 또는 초경량비행장치를 사용하여 조종교육, 체험 및 경관조망, 항공레저스포츠를 위하여 대여, 경량항공기 또는 초경량비행장치에 대한 정비, 수리 또는 개조 등의 서비스를 제공하는 사업체 정보
URLhttps://www.data.go.kr/data/15061944/fileData.do

Alerts

구분 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:24:17.521258
Analysis finished2023-12-12 12:24:18.234211
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T21:24:18.329547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityNot monotonic
2023-12-12T21:24:18.543019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
Distinct128
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2014-08-26 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T21:24:18.749696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:24:18.979013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:24:19.297982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length8.1621622
Min length2

Characters and Unicode

Total characters1208
Distinct characters227
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)100.0%

Sample

1st row하늘로항공
2nd row파라캠프
3rd row에어필드
4th row에어랜드항공
5th row문경패러글라이딩
ValueCountFrequency (%)
패러글라이딩 10
 
5.1%
스쿨 5
 
2.6%
하늘누리 3
 
1.5%
지리산 2
 
1.0%
제주패러글라이딩 2
 
1.0%
유한회사 2
 
1.0%
대천패러글라이딩 2
 
1.0%
곡성 2
 
1.0%
패러글라이딩랜드 1
 
0.5%
한성산업 1
 
0.5%
Other values (165) 165
84.6%
2023-12-12T21:24:19.777567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
6.5%
64
 
5.3%
61
 
5.0%
52
 
4.3%
50
 
4.1%
46
 
3.8%
42
 
3.5%
37
 
3.1%
30
 
2.5%
24
 
2.0%
Other values (217) 724
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
91.9%
Space Separator 52
 
4.3%
Uppercase Letter 32
 
2.6%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Other Punctuation 4
 
0.3%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
 
7.0%
64
 
5.8%
61
 
5.5%
50
 
4.5%
46
 
4.1%
42
 
3.8%
37
 
3.3%
30
 
2.7%
24
 
2.2%
20
 
1.8%
Other values (194) 658
59.3%
Uppercase Letter
ValueCountFrequency (%)
L 3
9.4%
I 3
9.4%
G 3
9.4%
H 3
9.4%
S 3
9.4%
F 3
9.4%
P 2
 
6.2%
R 2
 
6.2%
O 2
 
6.2%
A 2
 
6.2%
Other values (6) 6
18.8%
Other Punctuation
ValueCountFrequency (%)
" 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
91.9%
Common 66
 
5.5%
Latin 32
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
 
7.0%
64
 
5.8%
61
 
5.5%
50
 
4.5%
46
 
4.1%
42
 
3.8%
37
 
3.3%
30
 
2.7%
24
 
2.2%
20
 
1.8%
Other values (194) 658
59.3%
Latin
ValueCountFrequency (%)
L 3
9.4%
I 3
9.4%
G 3
9.4%
H 3
9.4%
S 3
9.4%
F 3
9.4%
P 2
 
6.2%
R 2
 
6.2%
O 2
 
6.2%
A 2
 
6.2%
Other values (6) 6
18.8%
Common
ValueCountFrequency (%)
52
78.8%
) 4
 
6.1%
( 4
 
6.1%
" 2
 
3.0%
. 2
 
3.0%
1 1
 
1.5%
- 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1110
91.9%
ASCII 98
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
78
 
7.0%
64
 
5.8%
61
 
5.5%
50
 
4.5%
46
 
4.1%
42
 
3.8%
37
 
3.3%
30
 
2.7%
24
 
2.2%
20
 
1.8%
Other values (194) 658
59.3%
ASCII
ValueCountFrequency (%)
52
53.1%
) 4
 
4.1%
( 4
 
4.1%
L 3
 
3.1%
I 3
 
3.1%
G 3
 
3.1%
H 3
 
3.1%
S 3
 
3.1%
F 3
 
3.1%
" 2
 
2.0%
Other values (13) 18
 
18.4%
Distinct70
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T21:24:20.116224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0675676
Min length4

Characters and Unicode

Total characters898
Distinct characters81
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)31.1%

Sample

1st row전남 여수시
2nd row경남 창원시
3rd row충북 단양군
4th row경남 합천군
5th row경북 문경시
ValueCountFrequency (%)
경기 36
 
12.3%
충북 30
 
10.3%
단양군 25
 
8.6%
충남 14
 
4.8%
전북 14
 
4.8%
전남 12
 
4.1%
화성시 8
 
2.7%
경북 8
 
2.7%
제주도 7
 
2.4%
제주시 7
 
2.4%
Other values (74) 131
44.9%
2023-12-12T21:24:20.602893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
16.4%
91
 
10.1%
60
 
6.7%
55
 
6.1%
53
 
5.9%
44
 
4.9%
40
 
4.5%
38
 
4.2%
36
 
4.0%
32
 
3.6%
Other values (71) 302
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 751
83.6%
Space Separator 147
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
91
 
12.1%
60
 
8.0%
55
 
7.3%
53
 
7.1%
44
 
5.9%
40
 
5.3%
38
 
5.1%
36
 
4.8%
32
 
4.3%
29
 
3.9%
Other values (70) 273
36.4%
Space Separator
ValueCountFrequency (%)
147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 751
83.6%
Common 147
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
91
 
12.1%
60
 
8.0%
55
 
7.3%
53
 
7.1%
44
 
5.9%
40
 
5.3%
38
 
5.1%
36
 
4.8%
32
 
4.3%
29
 
3.9%
Other values (70) 273
36.4%
Common
ValueCountFrequency (%)
147
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 751
83.6%
ASCII 147
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
100.0%
Hangul
ValueCountFrequency (%)
91
 
12.1%
60
 
8.0%
55
 
7.3%
53
 
7.1%
44
 
5.9%
40
 
5.3%
38
 
5.1%
36
 
4.8%
32
 
4.3%
29
 
3.9%
Other values (70) 273
36.4%

등록구분
Categorical

Distinct29
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
조종교육, 체험 및 경관조망
69 
정비, 수리 또는 개조
13 
조종교육 체험 및 경관조망
조종교육, 체험 및 경관조망, 대여
패러글라이더
 
6
Other values (24)
44 

Length

Max length38
Median length34
Mean length16.635135
Min length6

Unique

Unique13 ?
Unique (%)8.8%

Sample

1st row정비, 수리 또는 개조
2nd row조종교육 체험 및 관광
3rd row조종교육, 체험 및 경관조망, 정비, 수리 또는 개조(낙하산 재포장)
4th row경량항공기 체험?경관조망?조종교육, 대여, 정비?수리?개조
5th row조종교육, 체험 및 경관조망

Common Values

ValueCountFrequency (%)
조종교육, 체험 및 경관조망 69
46.6%
정비, 수리 또는 개조 13
 
8.8%
조종교육 체험 및 경관조망 8
 
5.4%
조종교육, 체험 및 경관조망, 대여 8
 
5.4%
패러글라이더 6
 
4.1%
패러글라이더 체험 및 경관조망, 조종교육 5
 
3.4%
체험 및 경관조망 4
 
2.7%
조종교육, 체험 및 경관조망, 대여, 정비, 수리 또는 개조 4
 
2.7%
패러글라이더 체험 및 경관조망 3
 
2.0%
체험 및 경관조망, 조종교육 3
 
2.0%
Other values (19) 25
 
16.9%

Length

2023-12-12T21:24:21.162139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
117
18.5%
경관조망 116
18.4%
체험 115
18.2%
조종교육 108
17.1%
정비 32
 
5.1%
수리 30
 
4.8%
또는 30
 
4.8%
개조 19
 
3.0%
대여 19
 
3.0%
패러글라이더 15
 
2.4%
Other values (18) 30
 
4.8%

Interactions

2023-12-12T21:24:17.909617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:24:21.274083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사업장소재지등록구분
구분1.0000.5560.678
사업장소재지0.5561.0000.897
등록구분0.6780.8971.000
2023-12-12T21:24:21.378008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분등록구분
구분1.0000.290
등록구분0.2901.000

Missing values

2023-12-12T21:24:18.063785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:24:18.180981image/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

구분등록수리일업체명사업장소재지등록구분
022014-08-26하늘로항공전남 여수시정비, 수리 또는 개조
132014-09-05파라캠프경남 창원시조종교육 체험 및 관광
242014-09-26에어필드충북 단양군조종교육, 체험 및 경관조망, 정비, 수리 또는 개조(낙하산 재포장)
352014-09-29에어랜드항공경남 합천군경량항공기 체험?경관조망?조종교육, 대여, 정비?수리?개조
462014-09-30문경패러글라이딩경북 문경시조종교육, 체험 및 경관조망
572014-10-02대천국가대표패러글라이딩충남 보령시조종교육, 체험 및 경관조망
682014-10-07고창읍성패러글라이딩전북 완주군조종교육, 체험 및 경관조망
792014-10-07드림스카이경기 양평군조종교육, 체험 및 경관조망
8102014-10-07빅버드패러글라이딩스쿨대구시 동구조종교육 체험 및 경관조망
9112014-10-14드림충북 단양군조종교육, 체험 및 경관조망, 정비, 수리 또는 개조(경정비)
구분등록수리일업체명사업장소재지등록구분
1381392022-09-20한국스카이패러스쿨전북 정읍시조종교육, 체험 및 경관조망
1391402022-11-08무성항공경기 평택시정비, 수리 또는 개조
1401412022-11-15스카이상사 부설 충남드론교육원충남 예산군정비, 수리 또는 개조
1411422022-11-23성우엔지니어링충북 청주시정비, 수리 또는 개조
1421432022-11-23한빛드론인천시 서구정비, 수리 또는 개조
1431442022-12-19영농조합법인대성충북 옥천군정비, 수리 또는 개조
1441452022-12-29솔빛경기 하남시정비, 수리 또는 개조
1451462022-12-29드론텍전북 김제시정비, 수리 또는 개조
1461472022-12-29플라이존드론교육원경기 안산시정비, 수리 또는 개조
1471482022-12-29케이루트전남 나주시초경량비행장치 정비, 수리 또는 개조서비스