Overview

Dataset statistics

Number of variables5
Number of observations372
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory41.4 B

Variable types

Text3
Numeric1
DateTime1

Dataset

Description경기도 김포시의 경로당(경로당명, 면적(제곱미터), 소재지도로명주소, 소재지지번주소, 데이터기준일자)의 데이터 현황을 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15034895/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:45:02.525480
Analysis finished2024-04-06 08:45:04.292159
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct370
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T17:45:04.656655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16.5
Mean length6.0349462
Min length2

Characters and Unicode

Total characters2245
Distinct characters249
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

Unique368 ?
Unique (%)98.9%

Sample

1st rowe편한세상로얄하임
2nd row가현2리
3rd row가현3리
4th row가현4리
5th row가현5리
ValueCountFrequency (%)
사우 5
 
1.2%
김포한강 4
 
1.0%
한강센트럴자이1차 3
 
0.7%
전원마을 2
 
0.5%
신일아파트 2
 
0.5%
아파트 2
 
0.5%
건영아파트 2
 
0.5%
e편한세상 2
 
0.5%
푸르지오 2
 
0.5%
동일스위트 2
 
0.5%
Other values (379) 384
93.7%
2024-04-06T17:45:05.697783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
7.2%
105
 
4.7%
96
 
4.3%
93
 
4.1%
1 73
 
3.3%
2 70
 
3.1%
63
 
2.8%
53
 
2.4%
51
 
2.3%
48
 
2.1%
Other values (239) 1431
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1918
85.4%
Decimal Number 243
 
10.8%
Space Separator 40
 
1.8%
Uppercase Letter 23
 
1.0%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 4
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
162
 
8.4%
105
 
5.5%
96
 
5.0%
93
 
4.8%
63
 
3.3%
53
 
2.8%
51
 
2.7%
48
 
2.5%
34
 
1.8%
32
 
1.7%
Other values (218) 1181
61.6%
Decimal Number
ValueCountFrequency (%)
1 73
30.0%
2 70
28.8%
3 38
15.6%
4 21
 
8.6%
5 20
 
8.2%
6 10
 
4.1%
7 3
 
1.2%
8 3
 
1.2%
9 3
 
1.2%
0 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
L 9
39.1%
H 9
39.1%
C 2
 
8.7%
S 2
 
8.7%
K 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1918
85.4%
Common 301
 
13.4%
Latin 26
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
162
 
8.4%
105
 
5.5%
96
 
5.0%
93
 
4.8%
63
 
3.3%
53
 
2.8%
51
 
2.7%
48
 
2.5%
34
 
1.8%
32
 
1.7%
Other values (218) 1181
61.6%
Common
ValueCountFrequency (%)
1 73
24.3%
2 70
23.3%
40
13.3%
3 38
12.6%
4 21
 
7.0%
5 20
 
6.6%
6 10
 
3.3%
( 7
 
2.3%
) 7
 
2.3%
7 3
 
1.0%
Other values (5) 12
 
4.0%
Latin
ValueCountFrequency (%)
L 9
34.6%
H 9
34.6%
e 3
 
11.5%
C 2
 
7.7%
S 2
 
7.7%
K 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1918
85.4%
ASCII 327
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
162
 
8.4%
105
 
5.5%
96
 
5.0%
93
 
4.8%
63
 
3.3%
53
 
2.8%
51
 
2.7%
48
 
2.5%
34
 
1.8%
32
 
1.7%
Other values (218) 1181
61.6%
ASCII
ValueCountFrequency (%)
1 73
22.3%
2 70
21.4%
40
12.2%
3 38
11.6%
4 21
 
6.4%
5 20
 
6.1%
6 10
 
3.1%
L 9
 
2.8%
H 9
 
2.8%
( 7
 
2.1%
Other values (11) 30
9.2%

면적(제곱미터)
Real number (ℝ)

Distinct322
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.51824
Minimum25.6
Maximum499.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-06T17:45:06.201902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.6
5-th percentile53.913
Q189.775
median121.235
Q3166.1
95-th percentile295.8375
Maximum499.1
Range473.5
Interquartile range (IQR)76.325

Descriptive statistics

Standard deviation79.253685
Coefficient of variation (CV)0.56002452
Kurtosis3.1186273
Mean141.51824
Median Absolute Deviation (MAD)38.735
Skewness1.6172363
Sum52644.786
Variance6281.1466
MonotonicityNot monotonic
2024-04-06T17:45:06.561963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 4
 
1.1%
132.0 4
 
1.1%
146.0 4
 
1.1%
253.53 3
 
0.8%
81.0 3
 
0.8%
165.0 3
 
0.8%
161.0 3
 
0.8%
63.0 3
 
0.8%
166.0 3
 
0.8%
199.0 3
 
0.8%
Other values (312) 339
91.1%
ValueCountFrequency (%)
25.6 1
0.3%
29.7 1
0.3%
32.25 1
0.3%
39.0 1
0.3%
40.35 1
0.3%
40.5 1
0.3%
40.92 1
0.3%
41.04 1
0.3%
43.92 1
0.3%
46.0 1
0.3%
ValueCountFrequency (%)
499.1 1
0.3%
433.5 1
0.3%
431.0 1
0.3%
430.11 2
0.5%
423.73 1
0.3%
412.7 1
0.3%
391.26 1
0.3%
370.9 1
0.3%
368.7 1
0.3%
354.49 1
0.3%
Distinct369
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T17:45:07.386862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.424731
Min length15

Characters and Unicode

Total characters9830
Distinct characters276
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)98.7%

Sample

1st row경기도 김포시 통진읍 마송1로 122 (e편한세상로얄하임)
2nd row경기도 김포시 통진읍 가현로 240
3rd row경기도 김포시 통진읍 가현로166번길 32-11
4th row경기도 김포시 통진읍 가현로105번길 54
5th row경기도 김포시 통진읍 마송1로16번길 18-41
ValueCountFrequency (%)
경기도 372
 
19.4%
김포시 372
 
19.4%
양촌읍 45
 
2.3%
통진읍 44
 
2.3%
고촌읍 40
 
2.1%
대곶면 35
 
1.8%
하성면 31
 
1.6%
월곶면 22
 
1.1%
김포한강2로 15
 
0.8%
김포한강8로 13
 
0.7%
Other values (676) 931
48.5%
2024-04-06T17:45:08.567661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1561
 
15.9%
500
 
5.1%
485
 
4.9%
407
 
4.1%
404
 
4.1%
389
 
4.0%
379
 
3.9%
376
 
3.8%
1 360
 
3.7%
2 242
 
2.5%
Other values (266) 4727
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6127
62.3%
Decimal Number 1638
 
16.7%
Space Separator 1561
 
15.9%
Open Punctuation 190
 
1.9%
Close Punctuation 190
 
1.9%
Dash Punctuation 88
 
0.9%
Uppercase Letter 17
 
0.2%
Other Punctuation 15
 
0.2%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%
Decimal Number
ValueCountFrequency (%)
1 360
22.0%
2 242
14.8%
3 177
10.8%
4 149
9.1%
5 133
 
8.1%
8 125
 
7.6%
0 120
 
7.3%
9 113
 
6.9%
6 111
 
6.8%
7 108
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 6
35.3%
H 6
35.3%
C 2
 
11.8%
B 1
 
5.9%
A 1
 
5.9%
K 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6127
62.3%
Common 3682
37.5%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%
Common
ValueCountFrequency (%)
1561
42.4%
1 360
 
9.8%
2 242
 
6.6%
( 190
 
5.2%
) 190
 
5.2%
3 177
 
4.8%
4 149
 
4.0%
5 133
 
3.6%
8 125
 
3.4%
0 120
 
3.3%
Other values (5) 435
 
11.8%
Latin
ValueCountFrequency (%)
L 6
28.6%
H 6
28.6%
e 4
19.0%
C 2
 
9.5%
B 1
 
4.8%
A 1
 
4.8%
K 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6127
62.3%
ASCII 3703
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1561
42.2%
1 360
 
9.7%
2 242
 
6.5%
( 190
 
5.1%
) 190
 
5.1%
3 177
 
4.8%
4 149
 
4.0%
5 133
 
3.6%
8 125
 
3.4%
0 120
 
3.2%
Other values (12) 456
 
12.3%
Hangul
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%
Distinct369
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T17:45:09.379030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.424731
Min length15

Characters and Unicode

Total characters9830
Distinct characters276
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)98.7%

Sample

1st row경기도 김포시 통진읍 마송1로 122 (e편한세상로얄하임)
2nd row경기도 김포시 통진읍 가현로 240
3rd row경기도 김포시 통진읍 가현로166번길 32-11
4th row경기도 김포시 통진읍 가현로105번길 54
5th row경기도 김포시 통진읍 마송1로16번길 18-41
ValueCountFrequency (%)
경기도 372
 
19.4%
김포시 372
 
19.4%
양촌읍 45
 
2.3%
통진읍 44
 
2.3%
고촌읍 40
 
2.1%
대곶면 35
 
1.8%
하성면 31
 
1.6%
월곶면 22
 
1.1%
김포한강2로 15
 
0.8%
김포한강8로 13
 
0.7%
Other values (676) 931
48.5%
2024-04-06T17:45:10.636682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1561
 
15.9%
500
 
5.1%
485
 
4.9%
407
 
4.1%
404
 
4.1%
389
 
4.0%
379
 
3.9%
376
 
3.8%
1 360
 
3.7%
2 242
 
2.5%
Other values (266) 4727
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6127
62.3%
Decimal Number 1638
 
16.7%
Space Separator 1561
 
15.9%
Open Punctuation 190
 
1.9%
Close Punctuation 190
 
1.9%
Dash Punctuation 88
 
0.9%
Uppercase Letter 17
 
0.2%
Other Punctuation 15
 
0.2%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%
Decimal Number
ValueCountFrequency (%)
1 360
22.0%
2 242
14.8%
3 177
10.8%
4 149
9.1%
5 133
 
8.1%
8 125
 
7.6%
0 120
 
7.3%
9 113
 
6.9%
6 111
 
6.8%
7 108
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 6
35.3%
H 6
35.3%
C 2
 
11.8%
B 1
 
5.9%
A 1
 
5.9%
K 1
 
5.9%
Space Separator
ValueCountFrequency (%)
1561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6127
62.3%
Common 3682
37.5%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%
Common
ValueCountFrequency (%)
1561
42.4%
1 360
 
9.8%
2 242
 
6.6%
( 190
 
5.2%
) 190
 
5.2%
3 177
 
4.8%
4 149
 
4.0%
5 133
 
3.6%
8 125
 
3.4%
0 120
 
3.3%
Other values (5) 435
 
11.8%
Latin
ValueCountFrequency (%)
L 6
28.6%
H 6
28.6%
e 4
19.0%
C 2
 
9.5%
B 1
 
4.8%
A 1
 
4.8%
K 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6127
62.3%
ASCII 3703
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1561
42.2%
1 360
 
9.7%
2 242
 
6.5%
( 190
 
5.1%
) 190
 
5.1%
3 177
 
4.8%
4 149
 
4.0%
5 133
 
3.6%
8 125
 
3.4%
0 120
 
3.2%
Other values (12) 456
 
12.3%
Hangul
ValueCountFrequency (%)
500
 
8.2%
485
 
7.9%
407
 
6.6%
404
 
6.6%
389
 
6.3%
379
 
6.2%
376
 
6.1%
164
 
2.7%
158
 
2.6%
129
 
2.1%
Other values (244) 2736
44.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2024-02-28 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T17:45:10.949050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:11.215374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:45:03.515481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-06T17:45:03.817916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:45:04.161508image/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

경로당명면적(제곱미터)소재지도로명주소소재지지번주소데이터기준일자
0e편한세상로얄하임136.0경기도 김포시 통진읍 마송1로 122 (e편한세상로얄하임)경기도 김포시 통진읍 마송1로 122 (e편한세상로얄하임)2024-02-28
1가현2리64.8경기도 김포시 통진읍 가현로 240경기도 김포시 통진읍 가현로 2402024-02-28
2가현3리72.0경기도 김포시 통진읍 가현로166번길 32-11경기도 김포시 통진읍 가현로166번길 32-112024-02-28
3가현4리82.98경기도 김포시 통진읍 가현로105번길 54경기도 김포시 통진읍 가현로105번길 542024-02-28
4가현5리78.0경기도 김포시 통진읍 마송1로16번길 18-41경기도 김포시 통진읍 마송1로16번길 18-412024-02-28
5가현6리43.92경기도 김포시 통진읍 흥신로 291, 2층 (마송포로미)경기도 김포시 통진읍 흥신로 291, 2층 (마송포로미)2024-02-28
6고정1리111.42경기도 김포시 통진읍 고정로218번길 43경기도 김포시 통진읍 고정로218번길 432024-02-28
7고정2리113.64경기도 김포시 통진읍 월하로301번길 222경기도 김포시 통진읍 월하로301번길 2222024-02-28
8고정3리98.4경기도 김포시 통진읍 고정1로82번길 20-13경기도 김포시 통진읍 고정1로82번길 20-132024-02-28
9귀전1리111.0경기도 김포시 통진읍 귀전로 116경기도 김포시 통진읍 귀전로 1162024-02-28
경로당명면적(제곱미터)소재지도로명주소소재지지번주소데이터기준일자
362전원마을 월드3단지112.4경기도 김포시 전원로38번길 86 (전원마을월드메르디앙3단지)경기도 김포시 전원로38번길 86 (전원마을월드메르디앙3단지)2024-02-28
363전원마을 월드4단지112.4경기도 김포시 김포한강11로 158 (전원마을월드메르디앙4단지)경기도 김포시 김포한강11로 158 (전원마을월드메르디앙4단지)2024-02-28
364제촌92.2경기도 김포시 운양로 88-4경기도 김포시 운양로 88-42024-02-28
365푸르지오147.2경기도 김포시 김포한강11로 179 (한강신도시푸르지오)경기도 김포시 김포한강11로 179 (한강신도시푸르지오)2024-02-28
366풍경마을 래미안한강2차412.7경기도 김포시 김포한강11로 227 (풍경마을래미안한강2차)경기도 김포시 김포한강11로 227 (풍경마을래미안한강2차)2024-02-28
367한강신도시리버에일린의뜰190.61경기도 김포시 김포대로 1430 (한강신도시리버에일린의뜰)경기도 김포시 김포대로 1430 (한강신도시리버에일린의뜰)2024-02-28
368한강한라비발디아파트264.2경기도 김포시 김포한강11로255번길 149 (풍경마을한강한라비발디)경기도 김포시 김포한강11로255번길 149 (풍경마을한강한라비발디)2024-02-28
369한신더휴테라스11블럭아파트112.0경기도 김포시 김포한강1로 309 (한신더휴테라스11단지)경기도 김포시 김포한강1로 309 (한신더휴테라스11단지)2024-02-28
370한신더휴테라스12단지157.88경기도 김포시 김포한강11로438번길 123 (하늘빛마을한신더휴테라스)경기도 김포시 김포한강11로438번길 123 (하늘빛마을한신더휴테라스)2024-02-28
371화성파크드림아파트183.32경기도 김포시 김포한강11로 38 (모담마을한강화성파크드림)경기도 김포시 김포한강11로 38 (모담마을한강화성파크드림)2024-02-28