Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory62.9 B

Variable types

Text3
Categorical2
Numeric2

Dataset

Description도봉구에 위치하고 있는 여성안심지킴이집 지정현황 데이터(시설명,주소,위치등)
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15028112/fileData.do

Alerts

데이터기준일 has constant value ""Constant
시설명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:26:34.711784
Analysis finished2023-12-12 10:26:35.653792
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T19:26:35.797029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5925926
Min length8

Characters and Unicode

Total characters259
Distinct characters61
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row세븐일레븐 쌍문참사랑길점
2nd rowGS25 방학점
3rd rowCU덕성여대학생회관점
4th row세븐일레븐 방학한양점
5th rowCU 쌍문꽃동네점
ValueCountFrequency (%)
cu 14
26.4%
세븐일레븐 10
18.9%
gs25 2
 
3.8%
창동프라자점 1
 
1.9%
창동푸르지오점 1
 
1.9%
창동미소점 1
 
1.9%
창동현대점 1
 
1.9%
덕성여대점 1
 
1.9%
방학중앙점 1
 
1.9%
도봉오봉초교점 1
 
1.9%
Other values (20) 20
37.7%
2023-12-12T19:26:36.155689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 27
 
10.4%
26
 
10.0%
븐 20
 
7.7%
U 15
 
5.8%
C 15
 
5.8%
일 11
 
4.2%
세 10
 
3.9%
레 10
 
3.9%
동 9
 
3.5%
쌍 9
 
3.5%
Other values (51) 107
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
74.1%
Uppercase Letter 34
 
13.1%
Space Separator 26
 
10.0%
Decimal Number 7
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 27
 
14.1%
븐 20
 
10.4%
일 11
 
5.7%
세 10
 
5.2%
레 10
 
5.2%
동 9
 
4.7%
쌍 9
 
4.7%
문 9
 
4.7%
창 8
 
4.2%
봉 6
 
3.1%
Other values (43) 73
38.0%
Uppercase Letter
ValueCountFrequency (%)
U 15
44.1%
C 15
44.1%
G 2
 
5.9%
S 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 2
28.6%
5 2
28.6%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
74.1%
Latin 34
 
13.1%
Common 33
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 27
 
14.1%
븐 20
 
10.4%
일 11
 
5.7%
세 10
 
5.2%
레 10
 
5.2%
동 9
 
4.7%
쌍 9
 
4.7%
문 9
 
4.7%
창 8
 
4.2%
봉 6
 
3.1%
Other values (43) 73
38.0%
Common
ValueCountFrequency (%)
26
78.8%
2 3
 
9.1%
3 2
 
6.1%
5 2
 
6.1%
Latin
ValueCountFrequency (%)
U 15
44.1%
C 15
44.1%
G 2
 
5.9%
S 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
74.1%
ASCII 67
 
25.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 27
 
14.1%
븐 20
 
10.4%
일 11
 
5.7%
세 10
 
5.2%
레 10
 
5.2%
동 9
 
4.7%
쌍 9
 
4.7%
문 9
 
4.7%
창 8
 
4.2%
봉 6
 
3.1%
Other values (43) 73
38.0%
ASCII
ValueCountFrequency (%)
26
38.8%
U 15
22.4%
C 15
22.4%
2 3
 
4.5%
3 2
 
3.0%
G 2
 
3.0%
S 2
 
3.0%
5 2
 
3.0%

동구분
Categorical

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
쌍문1동
5 
방학2동
4 
창2동
4 
쌍문2동
3 
창4동
3 
Other values (5)
8 

Length

Max length4
Median length4
Mean length3.7037037
Min length3

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row쌍문1동
2nd row방학2동
3rd row쌍문1동
4th row방학2동
5th row쌍문1동

Common Values

ValueCountFrequency (%)
쌍문1동 5
18.5%
방학2동 4
14.8%
창2동 4
14.8%
쌍문2동 3
11.1%
창4동 3
11.1%
도봉1동 3
11.1%
쌍문3동 2
 
7.4%
쌍문4동 1
 
3.7%
방학1동 1
 
3.7%
창5동 1
 
3.7%

Length

2023-12-12T19:26:36.351383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:26:36.475371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쌍문1동 5
18.5%
방학2동 4
14.8%
창2동 4
14.8%
쌍문2동 3
11.1%
창4동 3
11.1%
도봉1동 3
11.1%
쌍문3동 2
 
7.4%
쌍문4동 1
 
3.7%
방학1동 1
 
3.7%
창5동 1
 
3.7%

주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T19:26:36.683995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length13.62963
Min length11

Characters and Unicode

Total characters368
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row도봉구 노해로41길 10
2nd row도봉구 시루봉로 219
3rd row도봉구 삼양로144길 33
4th row도봉구 도당로19길 13
5th row도봉구 우이천로38길 51
ValueCountFrequency (%)
도봉구 26
31.7%
10 2
 
2.4%
시루봉로 2
 
2.4%
삼양로144길 2
 
2.4%
43 2
 
2.4%
11 2
 
2.4%
1층 2
 
2.4%
도봉산길 2
 
2.4%
12 1
 
1.2%
32 1
 
1.2%
Other values (40) 40
48.8%
2023-12-12T19:26:37.083630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
14.9%
봉 39
10.6%
도 38
10.3%
1 38
10.3%
구 26
 
7.1%
로 25
 
6.8%
길 24
 
6.5%
4 17
 
4.6%
3 16
 
4.3%
2 14
 
3.8%
Other values (31) 76
20.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
54.1%
Decimal Number 114
31.0%
Space Separator 55
 
14.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 39
19.6%
도 38
19.1%
구 26
13.1%
로 25
12.6%
길 24
12.1%
릉 3
 
1.5%
가 3
 
1.5%
루 3
 
1.5%
양 3
 
1.5%
시 3
 
1.5%
Other values (20) 32
16.1%
Decimal Number
ValueCountFrequency (%)
1 38
33.3%
4 17
14.9%
3 16
14.0%
2 14
 
12.3%
0 8
 
7.0%
5 6
 
5.3%
8 4
 
3.5%
9 4
 
3.5%
6 4
 
3.5%
7 3
 
2.6%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
54.1%
Common 169
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 39
19.6%
도 38
19.1%
구 26
13.1%
로 25
12.6%
길 24
12.1%
릉 3
 
1.5%
가 3
 
1.5%
루 3
 
1.5%
양 3
 
1.5%
시 3
 
1.5%
Other values (20) 32
16.1%
Common
ValueCountFrequency (%)
55
32.5%
1 38
22.5%
4 17
 
10.1%
3 16
 
9.5%
2 14
 
8.3%
0 8
 
4.7%
5 6
 
3.6%
8 4
 
2.4%
9 4
 
2.4%
6 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
54.1%
ASCII 169
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
32.5%
1 38
22.5%
4 17
 
10.1%
3 16
 
9.5%
2 14
 
8.3%
0 8
 
4.7%
5 6
 
3.6%
8 4
 
2.4%
9 4
 
2.4%
6 4
 
2.4%
Hangul
ValueCountFrequency (%)
봉 39
19.6%
도 38
19.1%
구 26
13.1%
로 25
12.6%
길 24
12.1%
릉 3
 
1.5%
가 3
 
1.5%
루 3
 
1.5%
양 3
 
1.5%
시 3
 
1.5%
Other values (20) 32
16.1%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T19:26:37.302781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.111111
Min length11

Characters and Unicode

Total characters300
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

Unique27 ?
Unique (%)100.0%

Sample

1st row02-900-2106
2nd row02-3493-5800
3rd row02-997-1445
4th row02-954-1469
5th row02-900-4694
ValueCountFrequency (%)
02-900-2106 1
 
3.7%
02-900-0153 1
 
3.7%
02-998-7818 1
 
3.7%
02-904-0133 1
 
3.7%
02-994-2678 1
 
3.7%
02-991-1562 1
 
3.7%
02-955-9483 1
 
3.7%
070-7808-8298 1
 
3.7%
02-990-4275 1
 
3.7%
02-954-4034 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T19:26:37.655706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
20.7%
- 54
18.0%
9 45
15.0%
2 36
12.0%
5 20
 
6.7%
4 17
 
5.7%
6 15
 
5.0%
8 14
 
4.7%
1 13
 
4.3%
3 13
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 246
82.0%
Dash Punctuation 54
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
25.2%
9 45
18.3%
2 36
14.6%
5 20
 
8.1%
4 17
 
6.9%
6 15
 
6.1%
8 14
 
5.7%
1 13
 
5.3%
3 13
 
5.3%
7 11
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
20.7%
- 54
18.0%
9 45
15.0%
2 36
12.0%
5 20
 
6.7%
4 17
 
5.7%
6 15
 
5.0%
8 14
 
4.7%
1 13
 
4.3%
3 13
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
20.7%
- 54
18.0%
9 45
15.0%
2 36
12.0%
5 20
 
6.7%
4 17
 
5.7%
6 15
 
5.0%
8 14
 
4.7%
1 13
 
4.3%
3 13
 
4.3%

위도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.657127
Minimum37.64212
Maximum37.687551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T19:26:37.816863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.64212
5-th percentile37.643682
Q137.648885
median37.65252
Q337.664634
95-th percentile37.682661
Maximum37.687551
Range0.0454313
Interquartile range (IQR)0.0157488

Descriptive statistics

Standard deviation0.012215915
Coefficient of variation (CV)0.00032439847
Kurtosis0.84005758
Mean37.657127
Median Absolute Deviation (MAD)0.0069059
Skewness1.1188569
Sum1016.7424
Variance0.00014922857
MonotonicityNot monotonic
2023-12-12T19:26:37.967505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.64938 1
 
3.7%
37.66807 1
 
3.7%
37.68693 1
 
3.7%
37.64212 1
 
3.7%
37.65329 1
 
3.7%
37.66115 1
 
3.7%
37.65164 1
 
3.7%
37.66644 1
 
3.7%
37.6727 1
 
3.7%
37.64987 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
37.64212 1
3.7%
37.64322 1
3.7%
37.64476 1
3.7%
37.6456141 1
3.7%
37.6456701 1
3.7%
37.64612 1
3.7%
37.64839 1
3.7%
37.64938 1
3.7%
37.64987 1
3.7%
37.65127 1
3.7%
ValueCountFrequency (%)
37.6875513 1
3.7%
37.68693 1
3.7%
37.6727 1
3.7%
37.6692727 1
3.7%
37.66807 1
3.7%
37.66764 1
3.7%
37.66644 1
3.7%
37.6628276 1
3.7%
37.66115 1
3.7%
37.6599 1
3.7%

경도
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03576
Minimum127.01354
Maximum127.05383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T19:26:38.079291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01354
5-th percentile127.01862
Q1127.0319
median127.03754
Q3127.04072
95-th percentile127.04843
Maximum127.05383
Range0.0402903
Interquartile range (IQR)0.0088101

Descriptive statistics

Standard deviation0.0092699486
Coefficient of variation (CV)7.2971175 × 10-5
Kurtosis0.56450584
Mean127.03576
Median Absolute Deviation (MAD)0.0046833
Skewness-0.56810302
Sum3429.9655
Variance8.5931947 × 10-5
MonotonicityNot monotonic
2023-12-12T19:26:38.214028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
127.02672 1
 
3.7%
127.03427 1
 
3.7%
127.04063 1
 
3.7%
127.03876 1
 
3.7%
127.04521 1
 
3.7%
127.04722 1
 
3.7%
127.01354 1
 
3.7%
127.03234 1
 
3.7%
127.04084 1
 
3.7%
127.02379 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
127.01354 1
3.7%
127.01657 1
3.7%
127.0234 1
3.7%
127.02379 1
3.7%
127.02672 1
3.7%
127.03121 1
3.7%
127.03147 1
3.7%
127.03234 1
3.7%
127.0328567 1
3.7%
127.033066 1
3.7%
ValueCountFrequency (%)
127.0538303 1
3.7%
127.04895 1
3.7%
127.04722 1
3.7%
127.04521 1
3.7%
127.0444084 1
3.7%
127.04084 1
3.7%
127.0408002 1
3.7%
127.04063 1
3.7%
127.03976 1
3.7%
127.03906 1
3.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2018-01-01
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-01-01
2nd row2018-01-01
3rd row2018-01-01
4th row2018-01-01
5th row2018-01-01

Common Values

ValueCountFrequency (%)
2018-01-01 27
100.0%

Length

2023-12-12T19:26:38.356597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:26:38.444017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-01-01 27
100.0%

Interactions

2023-12-12T19:26:35.183649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:34.989392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:35.298183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:35.070883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:26:38.501203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명동구분주소전화번호위도경도
시설명1.0001.0001.0001.0001.0001.000
동구분1.0001.0001.0001.0000.7940.699
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도1.0000.7941.0001.0001.0000.000
경도1.0000.6991.0001.0000.0001.000
2023-12-12T19:26:38.603712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도동구분
위도1.0000.3150.499
경도0.3151.0000.380
동구분0.4990.3801.000

Missing values

2023-12-12T19:26:35.440128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:26:35.597151image/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

시설명동구분주소전화번호위도경도데이터기준일
0세븐일레븐 쌍문참사랑길점쌍문1동도봉구 노해로41길 1002-900-210637.64938127.026722018-01-01
1GS25 방학점방학2동도봉구 시루봉로 21902-3493-580037.66807127.034272018-01-01
2CU덕성여대학생회관점쌍문1동도봉구 삼양로144길 3302-997-144537.65127127.016572018-01-01
3세븐일레븐 방학한양점방학2동도봉구 도당로19길 1302-954-146937.66764127.039062018-01-01
4CU 쌍문꽃동네점쌍문1동도봉구 우이천로38길 5102-900-469437.65158127.02342018-01-01
5세븐일레븐 방학신우점방학2동도봉구 방학로10길 1002-955-092137.662828127.0330662018-01-01
6GS25 쌍문보람점쌍문2동도봉구 도봉로125길 8402-906-437037.65616127.037382018-01-01
7세븐일레븐 쌍문3호점쌍문2동도봉구 도봉로137길 2102-993-686037.6599127.039762018-01-01
8세븐일레븐 창동점창2동도봉구 덕릉로63가길 4202-903-915837.64322127.038052018-01-01
9CU 쌍문정의점쌍문2동도봉구 도봉로121길 2202-903-092937.65222127.035272018-01-01
시설명동구분주소전화번호위도경도데이터기준일
17세븐일레븐 창동3호점창4동도봉구 덕릉로 40402-906-496537.64567127.053832018-01-01
18세븐일레븐 도봉산길점도봉1동도봉구 도봉산길 1202-954-403437.687551127.0444082018-01-01
19CU 쌍문제일점쌍문1동도봉구 우이천로34길 2402-990-427537.64987127.023792018-01-01
20세븐일레븐 도봉오봉초교점도봉1동도봉구 시루봉로25길 31070-7808-829837.6727127.040842018-01-01
21CU 방학중앙점방학2동도봉구 시루봉로 19402-955-948337.66644127.032342018-01-01
22CU 덕성여대점쌍문1동도봉구 삼양로144길 1102-991-156237.65164127.013542018-01-01
23CU 창동현대점창4동도봉구 도봉로136길 11102-994-267837.66115127.047222018-01-01
24CU 창동미소점창5동도봉구 노해로63가길 1402-904-013337.65329127.045212018-01-01
25CU 창동푸르지오점창2동도봉구 덕릉로59아길 3002-998-781837.64212127.038762018-01-01
26CU 도봉가든점도봉1동도봉구 도봉산길 4302-956-955237.68693127.040632018-01-01