Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory37.0 B

Variable types

Text3
Numeric1

Dataset

Description위 치,시설명,수용(명),전화번호
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11637/S/1/datasetView.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 11:47:46.636223
Analysis finished2024-04-06 11:47:47.559499
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위 치
Text

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T20:47:47.810898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.5757576
Min length5

Characters and Unicode

Total characters283
Distinct characters35
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

Unique22 ?
Unique (%)66.7%

Sample

1st row삼양로 49길 17
2nd row삼양로 49길 17
3rd row삼양로 49길 17
4th row솔샘로 195
5th row솔매로49길 20
ValueCountFrequency (%)
17 4
 
5.7%
오현로 4
 
5.7%
삼양로 3
 
4.3%
월계로 3
 
4.3%
한천로 3
 
4.3%
49길 3
 
4.3%
14 2
 
2.9%
74 2
 
2.9%
9 2
 
2.9%
한천로124길 2
 
2.9%
Other values (39) 42
60.0%
2024-04-06T20:47:48.430051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
13.1%
로 33
11.7%
1 28
 
9.9%
9 19
 
6.7%
길 19
 
6.7%
2 18
 
6.4%
4 17
 
6.0%
7 11
 
3.9%
삼 10
 
3.5%
양 10
 
3.5%
Other values (25) 81
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
43.8%
Other Letter 120
42.4%
Space Separator 37
 
13.1%
Dash Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 33
27.5%
길 19
15.8%
삼 10
 
8.3%
양 10
 
8.3%
한 7
 
5.8%
천 7
 
5.8%
오 5
 
4.2%
현 4
 
3.3%
봉 3
 
2.5%
월 3
 
2.5%
Other values (12) 19
15.8%
Decimal Number
ValueCountFrequency (%)
1 28
22.6%
9 19
15.3%
2 18
14.5%
4 17
13.7%
7 11
 
8.9%
5 9
 
7.3%
0 9
 
7.3%
6 6
 
4.8%
3 6
 
4.8%
8 1
 
0.8%
Space Separator
ValueCountFrequency (%)
37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 163
57.6%
Hangul 120
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 33
27.5%
길 19
15.8%
삼 10
 
8.3%
양 10
 
8.3%
한 7
 
5.8%
천 7
 
5.8%
오 5
 
4.2%
현 4
 
3.3%
봉 3
 
2.5%
월 3
 
2.5%
Other values (12) 19
15.8%
Common
ValueCountFrequency (%)
37
22.7%
1 28
17.2%
9 19
11.7%
2 18
11.0%
4 17
10.4%
7 11
 
6.7%
5 9
 
5.5%
0 9
 
5.5%
6 6
 
3.7%
3 6
 
3.7%
Other values (3) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 163
57.6%
Hangul 120
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
22.7%
1 28
17.2%
9 19
11.7%
2 18
11.0%
4 17
10.4%
7 11
 
6.7%
5 9
 
5.5%
0 9
 
5.5%
6 6
 
3.7%
3 6
 
3.7%
Other values (3) 3
 
1.8%
Hangul
ValueCountFrequency (%)
로 33
27.5%
길 19
15.8%
삼 10
 
8.3%
양 10
 
8.3%
한 7
 
5.8%
천 7
 
5.8%
오 5
 
4.2%
현 4
 
3.3%
봉 3
 
2.5%
월 3
 
2.5%
Other values (12) 19
15.8%

시설명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T20:47:48.754076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.30303
Min length4

Characters and Unicode

Total characters340
Distinct characters83
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

Unique33 ?
Unique (%)100.0%

Sample

1st row삼양초등학교 전관(교실)
2nd row삼양초등학교 후관(교실)
3rd row삼양초등학교 급식실
4th row미양초등학교 체육관
5th row신일중학교 교사동
ValueCountFrequency (%)
체육관 11
 
17.5%
교사동 5
 
7.9%
삼양초등학교 3
 
4.8%
수송초등학교 2
 
3.2%
송중초등학교 2
 
3.2%
강당 2
 
3.2%
성북교회 1
 
1.6%
수송중학교 1
 
1.6%
번동중학교 1
 
1.6%
번동초등학교 1
 
1.6%
Other values (34) 34
54.0%
2024-04-06T20:47:49.416710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 39
 
11.5%
30
 
8.8%
학 25
 
7.4%
관 23
 
6.8%
등 19
 
5.6%
초 17
 
5.0%
육 13
 
3.8%
체 12
 
3.5%
동 10
 
2.9%
사 8
 
2.4%
Other values (73) 144
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
87.4%
Space Separator 30
 
8.8%
Other Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Open Punctuation 3
 
0.9%
Decimal Number 3
 
0.9%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 23
 
7.7%
등 19
 
6.4%
초 17
 
5.7%
육 13
 
4.4%
체 12
 
4.0%
동 10
 
3.4%
사 8
 
2.7%
중 8
 
2.7%
Other values (66) 123
41.4%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
87.4%
Common 42
 
12.4%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 23
 
7.7%
등 19
 
6.4%
초 17
 
5.7%
육 13
 
4.4%
체 12
 
4.0%
동 10
 
3.4%
사 8
 
2.7%
중 8
 
2.7%
Other values (66) 123
41.4%
Common
ValueCountFrequency (%)
30
71.4%
, 3
 
7.1%
) 3
 
7.1%
( 3
 
7.1%
1 2
 
4.8%
2 1
 
2.4%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
87.4%
ASCII 43
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 39
 
13.1%
학 25
 
8.4%
관 23
 
7.7%
등 19
 
6.4%
초 17
 
5.7%
육 13
 
4.4%
체 12
 
4.0%
동 10
 
3.4%
사 8
 
2.7%
중 8
 
2.7%
Other values (66) 123
41.4%
ASCII
ValueCountFrequency (%)
30
69.8%
, 3
 
7.0%
) 3
 
7.0%
( 3
 
7.0%
1 2
 
4.7%
2 1
 
2.3%
L 1
 
2.3%

수용(명)
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean846.33333
Minimum87
Maximum3459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T20:47:49.715986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile112.2
Q1229
median325
Q31038
95-th percentile3056.8
Maximum3459
Range3372
Interquartile range (IQR)809

Descriptive statistics

Standard deviation1006.461
Coefficient of variation (CV)1.1892017
Kurtosis1.1485053
Mean846.33333
Median Absolute Deviation (MAD)172
Skewness1.5402727
Sum27929
Variance1012963.8
MonotonicityNot monotonic
2024-04-06T20:47:49.986834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
289 2
 
6.1%
2357 1
 
3.0%
568 1
 
3.0%
325 1
 
3.0%
1982 1
 
3.0%
2176 1
 
3.0%
200 1
 
3.0%
305 1
 
3.0%
257 1
 
3.0%
164 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
87 1
3.0%
111 1
3.0%
113 1
3.0%
123 1
3.0%
164 1
3.0%
191 1
3.0%
200 1
3.0%
206 1
3.0%
229 1
3.0%
235 1
3.0%
ValueCountFrequency (%)
3459 1
3.0%
3418 1
3.0%
2816 1
3.0%
2357 1
3.0%
2176 1
3.0%
2117 1
3.0%
1982 1
3.0%
1427 1
3.0%
1038 1
3.0%
648 1
3.0%

전화번호
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T20:47:50.319017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0606061
Min length8

Characters and Unicode

Total characters266
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 (%)72.7%

Sample

1st row987-8324
2nd row987-8324
3rd row987-8324
4th row980-6149
5th row944-9813
ValueCountFrequency (%)
987-8324 3
 
9.1%
994-0693 2
 
6.1%
985-1923 2
 
6.1%
986-1705 2
 
6.1%
900-6323 1
 
3.0%
987-1864 1
 
3.0%
902-2002 1
 
3.0%
995-7676 1
 
3.0%
904-8111 1
 
3.0%
6715-6606 1
 
3.0%
Other values (18) 18
54.5%
2024-04-06T20:47:50.900409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 54
20.3%
- 33
12.4%
8 30
11.3%
7 25
9.4%
1 24
9.0%
0 19
 
7.1%
2 18
 
6.8%
4 17
 
6.4%
3 16
 
6.0%
6 15
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 233
87.6%
Dash Punctuation 33
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 54
23.2%
8 30
12.9%
7 25
10.7%
1 24
10.3%
0 19
 
8.2%
2 18
 
7.7%
4 17
 
7.3%
3 16
 
6.9%
6 15
 
6.4%
5 15
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 54
20.3%
- 33
12.4%
8 30
11.3%
7 25
9.4%
1 24
9.0%
0 19
 
7.1%
2 18
 
6.8%
4 17
 
6.4%
3 16
 
6.0%
6 15
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 54
20.3%
- 33
12.4%
8 30
11.3%
7 25
9.4%
1 24
9.0%
0 19
 
7.1%
2 18
 
6.8%
4 17
 
6.4%
3 16
 
6.0%
6 15
 
5.6%

Interactions

2024-04-06T20:47:47.107951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T20:47:51.172964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위 치시설명수용(명)전화번호
위 치1.0001.0000.0001.000
시설명1.0001.0001.0001.000
수용(명)0.0001.0001.0000.000
전화번호1.0001.0000.0001.000

Missing values

2024-04-06T20:47:47.317125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T20:47:47.501311image/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

위 치시설명수용(명)전화번호
0삼양로 49길 17삼양초등학교 전관(교실)2357987-8324
1삼양로 49길 17삼양초등학교 후관(교실)1427987-8324
2삼양로 49길 17삼양초등학교 급식실300987-8324
3솔샘로 195미양초등학교 체육관648980-6149
4솔매로49길 20신일중학교 교사동1038944-9813
5오패산로 290-1강북구보훈회관113981-4200
6오현로 9송중초등학교 강당289985-1923
7오현로 9송중초등학교 교사동2117985-1923
8월계로 61창문여자고등학교 L동(1층 펜싱장)87986-1705
9월계로 61창문여자중학교 강당255986-1705
위 치시설명수용(명)전화번호
23삼양로74길 39수유초등학교 체육관200989-3734
24인수봉로37길 24유현초등학교 체육관305985-3121
25한천로 1125성북교회257997-3145
26노해로 50성실교회교육관568998-9988
27한천로150길 67강북중학교 체육관164999-4107
284.19로 74강북청소년수련관 1층 체육관2296715-6606
29삼양로163길 74우이제일교회 사회복지관206904-8111
30삼양로173길 17백두산한증막사우나123995-7676
31인수봉로 269인수초등학교 체육관235902-2002
32삼양로99길 36우이초등학교 체육관452991-7532