Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells1
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.5 B

Variable types

Text4
Numeric1
DateTime1

Alerts

개소일 has 1 (4.2%) missing valuesMissing
설치기관 및 센터명 has unique valuesUnique
연락처 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2023-08-15 04:54:30.407417
Analysis finished2023-08-15 04:54:31.382873
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치기관 및 센터명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-08-15T13:54:31.619905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length12.791667
Min length11

Characters and Unicode

Total characters307
Distinct characters63
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

Unique24 ?
Unique (%)100.0%

Sample

1st row포항공과대학교 창업보육센터
2nd row포항대학교 창업보육센터
3rd row동국대경주캠퍼스벤처창업보육센터
4th row위덕대학교창업보육센터
5th row한동대학교창업보육센터
ValueCountFrequency (%)
창업보육센터 3
 
11.1%
포항공과대학교 1
 
3.7%
경일대학교창업보육센터 1
 
3.7%
안동대학교창업보육센터 1
 
3.7%
안동과학대학교창업보육센터 1
 
3.7%
문경대학교창업보육센터 1
 
3.7%
경북도립대학교창업보육센터 1
 
3.7%
대경대학교창업보육센터 1
 
3.7%
대구한의대학교한방바이오창업보육센터 1
 
3.7%
대구미래대학창업보육센터 1
 
3.7%
Other values (15) 15
55.6%
2023-08-15T13:54:32.773911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 27
 
8.8%
업 25
 
8.1%
학 24
 
7.8%
창 24
 
7.8%
보 24
 
7.8%
센 24
 
7.8%
터 24
 
7.8%
육 23
 
7.5%
교 19
 
6.2%
구 7
 
2.3%
Other values (53) 86
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 301
98.0%
Space Separator 3
 
1.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 27
 
9.0%
업 25
 
8.3%
학 24
 
8.0%
창 24
 
8.0%
보 24
 
8.0%
센 24
 
8.0%
터 24
 
8.0%
육 23
 
7.6%
교 19
 
6.3%
구 7
 
2.3%
Other values (49) 80
26.6%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 301
98.0%
Common 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 27
 
9.0%
업 25
 
8.3%
학 24
 
8.0%
창 24
 
8.0%
보 24
 
8.0%
센 24
 
8.0%
터 24
 
8.0%
육 23
 
7.6%
교 19
 
6.3%
구 7
 
2.3%
Other values (49) 80
26.6%
Common
ValueCountFrequency (%)
3
50.0%
( 1
 
16.7%
) 1
 
16.7%
0 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 301
98.0%
ASCII 6
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 27
 
9.0%
업 25
 
8.3%
학 24
 
8.0%
창 24
 
8.0%
보 24
 
8.0%
센 24
 
8.0%
터 24
 
8.0%
육 23
 
7.6%
교 19
 
6.3%
구 7
 
2.3%
Other values (49) 80
26.6%
ASCII
ValueCountFrequency (%)
3
50.0%
( 1
 
16.7%
) 1
 
16.7%
0 1
 
16.7%

연락처
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-08-15T13:54:33.162719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row054-279-8480
2nd row054-245-1043
3rd row054-770-2610
4th row054-760-1072
5th row054-260-1443
ValueCountFrequency (%)
054-279-8480 1
 
4.2%
054-245-1043 1
 
4.2%
054-820-7415 1
 
4.2%
054-851-3670 1
 
4.2%
054-559-1031 1
 
4.2%
054-650-0151 1
 
4.2%
053-850-1171 1
 
4.2%
053-819-1716 1
 
4.2%
053-810-9468 1
 
4.2%
053-810-1468 1
 
4.2%
Other values (14) 14
58.3%
2023-08-15T13:54:33.922020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
17.0%
- 48
16.7%
5 41
14.2%
4 34
11.8%
1 25
8.7%
7 18
 
6.2%
8 17
 
5.9%
3 16
 
5.6%
9 15
 
5.2%
6 15
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
20.4%
5 41
17.1%
4 34
14.2%
1 25
10.4%
7 18
 
7.5%
8 17
 
7.1%
3 16
 
6.7%
9 15
 
6.2%
6 15
 
6.2%
2 10
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
17.0%
- 48
16.7%
5 41
14.2%
4 34
11.8%
1 25
8.7%
7 18
 
6.2%
8 17
 
5.9%
3 16
 
5.6%
9 15
 
5.2%
6 15
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
17.0%
- 48
16.7%
5 41
14.2%
4 34
11.8%
1 25
8.7%
7 18
 
6.2%
8 17
 
5.9%
3 16
 
5.6%
9 15
 
5.2%
6 15
 
5.2%

주 소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-08-15T13:54:34.450063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length14.166667
Min length10

Characters and Unicode

Total characters340
Distinct characters77
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

Unique24 ?
Unique (%)100.0%

Sample

1st row포항시 남구 청암로 77
2nd row포항시 북구 신덕로 지하 60
3rd row경주시 동대로 123
4th row경주시 동해대로 261
5th row포항시 북구 한동로 558
ValueCountFrequency (%)
경산시 7
 
8.0%
포항시 4
 
4.5%
구미시 4
 
4.5%
경주시 2
 
2.3%
남구 2
 
2.3%
대학길 2
 
2.3%
대학로 2
 
2.3%
안동시 2
 
2.3%
칠곡군 2
 
2.3%
청암로 2
 
2.3%
Other values (58) 59
67.0%
2023-08-15T13:54:35.570330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
20.9%
시 21
 
6.2%
1 18
 
5.3%
로 17
 
5.0%
산 12
 
3.5%
경 11
 
3.2%
대 11
 
3.2%
동 10
 
2.9%
구 10
 
2.9%
5 9
 
2.6%
Other values (67) 150
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
58.2%
Space Separator 71
 
20.9%
Decimal Number 67
 
19.7%
Dash Punctuation 2
 
0.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21
 
10.6%
로 17
 
8.6%
산 12
 
6.1%
경 11
 
5.6%
대 11
 
5.6%
동 10
 
5.1%
구 10
 
5.1%
길 6
 
3.0%
미 6
 
3.0%
면 6
 
3.0%
Other values (53) 88
44.4%
Decimal Number
ValueCountFrequency (%)
1 18
26.9%
5 9
13.4%
7 8
11.9%
3 7
 
10.4%
6 6
 
9.0%
0 6
 
9.0%
2 5
 
7.5%
4 3
 
4.5%
8 3
 
4.5%
9 2
 
3.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
58.2%
Common 142
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21
 
10.6%
로 17
 
8.6%
산 12
 
6.1%
경 11
 
5.6%
대 11
 
5.6%
동 10
 
5.1%
구 10
 
5.1%
길 6
 
3.0%
미 6
 
3.0%
면 6
 
3.0%
Other values (53) 88
44.4%
Common
ValueCountFrequency (%)
71
50.0%
1 18
 
12.7%
5 9
 
6.3%
7 8
 
5.6%
3 7
 
4.9%
6 6
 
4.2%
0 6
 
4.2%
2 5
 
3.5%
4 3
 
2.1%
8 3
 
2.1%
Other values (4) 6
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
58.2%
ASCII 142
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
50.0%
1 18
 
12.7%
5 9
 
6.3%
7 8
 
5.6%
3 7
 
4.9%
6 6
 
4.2%
0 6
 
4.2%
2 5
 
3.5%
4 3
 
2.1%
8 3
 
2.1%
Other values (4) 6
 
4.2%
Hangul
ValueCountFrequency (%)
시 21
 
10.6%
로 17
 
8.6%
산 12
 
6.1%
경 11
 
5.6%
대 11
 
5.6%
동 10
 
5.1%
구 10
 
5.1%
길 6
 
3.0%
미 6
 
3.0%
면 6
 
3.0%
Other values (53) 88
44.4%

보육실수
Real number (ℝ)

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.416667
Minimum10
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-08-15T13:54:35.985496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10.15
Q112
median18
Q345
95-th percentile63.95
Maximum94
Range84
Interquartile range (IQR)33

Descriptive statistics

Standard deviation22.442035
Coefficient of variation (CV)0.76290203
Kurtosis1.3746737
Mean29.416667
Median Absolute Deviation (MAD)8
Skewness1.3231434
Sum706
Variance503.64493
MonotonicityNot monotonic
2023-08-15T13:54:36.315273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
12 4
16.7%
14 3
12.5%
18 2
 
8.3%
10 2
 
8.3%
45 2
 
8.3%
58 2
 
8.3%
29 1
 
4.2%
26 1
 
4.2%
46 1
 
4.2%
13 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
10 2
8.3%
11 1
 
4.2%
12 4
16.7%
13 1
 
4.2%
14 3
12.5%
18 2
8.3%
26 1
 
4.2%
27 1
 
4.2%
29 1
 
4.2%
43 1
 
4.2%
ValueCountFrequency (%)
94 1
4.2%
65 1
4.2%
58 2
8.3%
46 1
4.2%
45 2
8.3%
43 1
4.2%
29 1
4.2%
27 1
4.2%
26 1
4.2%
18 2
8.3%

지정일
Date

Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1998-06-01 00:00:00
Maximum2007-01-01 00:00:00
2023-08-15T13:54:36.642807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-15T13:54:36.968688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

개소일
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2023-08-15T13:54:37.343731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters230
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

Unique23 ?
Unique (%)100.0%

Sample

1st row2000.12.27
2nd row1999.10.19
3rd row1999.12.28
4th row2000. 4.14
5th row1999. 7.10
ValueCountFrequency (%)
2001 4
 
9.8%
1 4
 
9.8%
2000 2
 
4.9%
1999 2
 
4.9%
8 2
 
4.9%
4 2
 
4.9%
2003 2
 
4.9%
2007 1
 
2.4%
2000.12.15 1
 
2.4%
1999.11.23 1
 
2.4%
Other values (20) 20
48.8%
2023-08-15T13:54:37.959456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 46
20.0%
0 43
18.7%
2 40
17.4%
1 36
15.7%
9 23
10.0%
18
 
7.8%
4 6
 
2.6%
8 5
 
2.2%
7 4
 
1.7%
5 4
 
1.7%
Other values (2) 5
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 166
72.2%
Other Punctuation 46
 
20.0%
Space Separator 18
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
25.9%
2 40
24.1%
1 36
21.7%
9 23
13.9%
4 6
 
3.6%
8 5
 
3.0%
7 4
 
2.4%
5 4
 
2.4%
3 4
 
2.4%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 46
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 46
20.0%
0 43
18.7%
2 40
17.4%
1 36
15.7%
9 23
10.0%
18
 
7.8%
4 6
 
2.6%
8 5
 
2.2%
7 4
 
1.7%
5 4
 
1.7%
Other values (2) 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 46
20.0%
0 43
18.7%
2 40
17.4%
1 36
15.7%
9 23
10.0%
18
 
7.8%
4 6
 
2.6%
8 5
 
2.2%
7 4
 
1.7%
5 4
 
1.7%
Other values (2) 5
 
2.2%

Interactions

2023-08-15T13:54:30.876810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-15T13:54:38.184165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치기관 및 센터명연락처주 소보육실수지정일개소일
설치기관 및 센터명1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.000
보육실수1.0001.0001.0001.0000.0001.000
지정일1.0001.0001.0000.0001.0001.000
개소일1.0001.0001.0001.0001.0001.000

Missing values

2023-08-15T13:54:31.081460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-15T13:54:31.297812image/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

설치기관 및 센터명연락처주 소보육실수지정일개소일
0포항공과대학교 창업보육센터054-279-8480포항시 남구 청암로 77121999. 2.27<NA>
1포항대학교 창업보육센터054-245-1043포항시 북구 신덕로 지하 60182000. 4.272000.12.27
2동국대경주캠퍼스벤처창업보육센터054-770-2610경주시 동대로 123291999. 2.271999.10.19
3위덕대학교창업보육센터054-760-1072경주시 동해대로 261121999. 8. 51999.12.28
4한동대학교창업보육센터054-260-1443포항시 북구 한동로 558261999. 8. 52000. 4.14
5(재)포항산업과학연구원창업보육센터0054-279-6495포항시 남구 청암로 67101999. 3.191999. 7.10
6금오공과대학교창업진흥센터054-478-6942구미시 대학로 61461999. 2.271999. 5. 1
7영진전문대학창업보육센터054-970-9501칠곡군 지천면 송정수정길 57131999. 2. 71999.10.21
8구미시전자정보기술원 창업보육센터054-465-7991구미시 구미대로 350-27122004.10.292000.12.20
9구미대학교창업보육센터054-440-1467구미시 야은로 37272000. 4.272000.12.22
설치기관 및 센터명연락처주 소보육실수지정일개소일
14대구가톨릭대학교창업보육센터053-850-3862경산시 하양읍 하양로 13-13452000. 4.272001. 3. 6
15영남대학교창업보육센터053-810-1468경산시 대학로 280582000. 4.272000.12.15
16대구미래대학창업보육센터053-810-9468경산시 미래로 114(평산동)181999. 8. 51999.11.23
17대구한의대학교한방바이오창업보육센터053-819-1716경산시 한의대로 1582007. 1.242007. 1.24
18대경대학교창업보육센터053-850-1171경산시 자인면 단북1길 65142001. 3.122001.12.28
19경북도립대학교창업보육센터054-650-0151예천군 도립 대학길 114102002. 3.202003. 9.15
20문경대학교창업보육센터054-559-1031문경시 호계면 별암리 대학길 161122000.10.312001. 9.25
21안동과학대학교창업보육센터054-851-3670안동시 서후면 서선길 189142002. 3.202002.12. 1
22안동대학교창업보육센터054-820-7415안동시 경동로 1375141998. 6.221998.10.21
23동양대학교창업보육센터054-630-1309영주시 풍기읍 동양대로 145452000. 5. 22001. 4.27