Overview

Dataset statistics

Number of variables13
Number of observations6626
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory692.5 KiB
Average record size in memory107.0 B

Variable types

Numeric2
Categorical6
Text4
Unsupported1

Alerts

시설구분 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
설치신고일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회원수 has 2349 (35.5%) zerosZeros

Reproduction

Analysis started2023-12-10 15:49:49.753956
Analysis finished2023-12-10 15:49:52.534813
Duration2.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6626
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3316.508
Minimum1
Maximum6635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2023-12-11T00:49:52.630159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile332.25
Q11659.25
median3315.5
Q34973.75
95-th percentile6302.75
Maximum6635
Range6634
Interquartile range (IQR)3314.5

Descriptive statistics

Standard deviation1914.9055
Coefficient of variation (CV)0.57738607
Kurtosis-1.1991549
Mean3316.508
Median Absolute Deviation (MAD)1657.5
Skewness0.00071804783
Sum21975182
Variance3666863.2
MonotonicityStrictly increasing
2023-12-11T00:49:52.805653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4418 1
 
< 0.1%
4428 1
 
< 0.1%
4427 1
 
< 0.1%
4426 1
 
< 0.1%
4425 1
 
< 0.1%
4424 1
 
< 0.1%
4423 1
 
< 0.1%
4422 1
 
< 0.1%
4421 1
 
< 0.1%
Other values (6616) 6616
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6635 1
< 0.1%
6634 1
< 0.1%
6633 1
< 0.1%
6632 1
< 0.1%
6631 1
< 0.1%
6630 1
< 0.1%
6629 1
< 0.1%
6628 1
< 0.1%
6627 1
< 0.1%
6626 1
< 0.1%

시군명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
전주시
688 
정읍시
681 
익산시
649 
김제시
611 
고창군
570 
Other values (13)
3427 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 688
10.4%
정읍시 681
10.3%
익산시 649
9.8%
김제시 611
9.2%
고창군 570
8.6%
남원시 484
 
7.3%
군산시 482
 
7.3%
부안군 460
 
6.9%
완주군 422
 
6.4%
순창군 368
 
5.6%
Other values (8) 1211
18.3%

Length

2023-12-11T00:49:53.008056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 688
10.4%
정읍시 681
10.3%
익산시 649
9.8%
김제시 611
9.2%
고창군 570
8.6%
남원시 484
 
7.3%
군산시 482
 
7.3%
부안군 460
 
6.9%
완주군 422
 
6.4%
순창군 368
 
5.6%
Other values (8) 1211
18.3%

시설명
Text

Distinct5229
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2023-12-11T00:49:53.372284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.9589496
Min length2

Characters and Unicode

Total characters32858
Distinct characters480
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

Unique4459 ?
Unique (%)67.3%

Sample

1st row다가제일
2nd row태평 2
3rd row태평 1
4th row연수정
5th row일심자모
ValueCountFrequency (%)
복흥면 36
 
0.5%
신기경로당 33
 
0.5%
유등면 22
 
0.3%
신흥경로당 22
 
0.3%
신촌경로당 19
 
0.3%
신기 17
 
0.3%
양지경로당 16
 
0.2%
신흥 12
 
0.2%
신촌 12
 
0.2%
오산경로당 10
 
0.1%
Other values (5206) 6495
97.0%
2023-12-11T00:49:53.908803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 4440
 
13.5%
경 4424
 
13.5%
로 4371
 
13.3%
동 702
 
2.1%
신 570
 
1.7%
산 509
 
1.5%
성 363
 
1.1%
아 358
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (470) 16494
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32070
97.6%
Decimal Number 387
 
1.2%
Close Punctuation 144
 
0.4%
Open Punctuation 144
 
0.4%
Space Separator 68
 
0.2%
Uppercase Letter 29
 
0.1%
Other Punctuation 11
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 4440
 
13.8%
경 4424
 
13.8%
로 4371
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 509
 
1.6%
성 363
 
1.1%
아 358
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15706
49.0%
Decimal Number
ValueCountFrequency (%)
2 135
34.9%
1 115
29.7%
3 49
 
12.7%
4 30
 
7.8%
5 23
 
5.9%
6 13
 
3.4%
8 7
 
1.8%
7 6
 
1.6%
9 5
 
1.3%
0 4
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 11
37.9%
T 11
37.9%
K 3
 
10.3%
J 2
 
6.9%
B 1
 
3.4%
S 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 8
72.7%
. 3
 
27.3%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32070
97.6%
Common 758
 
2.3%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 4440
 
13.8%
경 4424
 
13.8%
로 4371
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 509
 
1.6%
성 363
 
1.1%
아 358
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15706
49.0%
Common
ValueCountFrequency (%)
) 144
19.0%
( 144
19.0%
2 135
17.8%
1 115
15.2%
68
9.0%
3 49
 
6.5%
4 30
 
4.0%
5 23
 
3.0%
6 13
 
1.7%
, 8
 
1.1%
Other values (6) 29
 
3.8%
Latin
ValueCountFrequency (%)
P 11
36.7%
T 11
36.7%
K 3
 
10.0%
J 2
 
6.7%
B 1
 
3.3%
S 1
 
3.3%
e 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32070
97.6%
ASCII 788
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 4440
 
13.8%
경 4424
 
13.8%
로 4371
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 509
 
1.6%
성 363
 
1.1%
아 358
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15706
49.0%
ASCII
ValueCountFrequency (%)
) 144
18.3%
( 144
18.3%
2 135
17.1%
1 115
14.6%
68
8.6%
3 49
 
6.2%
4 30
 
3.8%
5 23
 
2.9%
6 13
 
1.6%
P 11
 
1.4%
Other values (13) 56
 
7.1%

시설구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
경로당
6626 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경로당
2nd row경로당
3rd row경로당
4th row경로당
5th row경로당

Common Values

ValueCountFrequency (%)
경로당 6626
100.0%

Length

2023-12-11T00:49:54.087042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:49:54.201144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 6626
100.0%

설치신고일
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size51.9 KiB

시설장
Text

Distinct5860
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2023-12-11T00:49:54.599742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9992454
Min length1

Characters and Unicode

Total characters19873
Distinct characters282
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

Unique5286 ?
Unique (%)79.8%

Sample

1st row오현갑
2nd row방극조
3rd row김정산
4th row유길철
5th row이인영
ValueCountFrequency (%)
김종수 7
 
0.1%
김종철 7
 
0.1%
김정자 6
 
0.1%
김광수 6
 
0.1%
김영순 6
 
0.1%
김동식 6
 
0.1%
박영규 5
 
0.1%
김종열 5
 
0.1%
김영수 5
 
0.1%
김종석 5
 
0.1%
Other values (5849) 6568
99.1%
2023-12-11T00:49:55.486122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1478
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 502
 
2.5%
순 486
 
2.4%
영 478
 
2.4%
수 397
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (272) 13928
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19867
> 99.9%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1478
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 502
 
2.5%
순 486
 
2.4%
영 478
 
2.4%
수 397
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13922
70.1%
Other Punctuation
ValueCountFrequency (%)
? 4
80.0%
, 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19867
> 99.9%
Common 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1478
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 502
 
2.5%
순 486
 
2.4%
영 478
 
2.4%
수 397
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13922
70.1%
Common
ValueCountFrequency (%)
? 4
66.7%
, 1
 
16.7%
- 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19867
> 99.9%
ASCII 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1478
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 502
 
2.5%
순 486
 
2.4%
영 478
 
2.4%
수 397
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13922
70.1%
ASCII
ValueCountFrequency (%)
? 4
66.7%
, 1
 
16.7%
- 1
 
16.7%

주소
Text

Distinct6318
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2023-12-11T00:49:56.043729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.01796
Min length8

Characters and Unicode

Total characters99509
Distinct characters439
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6022 ?
Unique (%)90.9%

Sample

1st row전주시 완산구 전주천동로 200-50
2nd row전주시 완산구 물레방아3길 6-1
3rd row전주시 완산구 공북로 67-5
4th row전주시 완산구 전라감영5길 19-11
5th row전주시 완산구 전주객사2길 46-8
ValueCountFrequency (%)
전주시 688
 
2.7%
정읍시 681
 
2.7%
익산시 649
 
2.5%
김제시 611
 
2.4%
고창군 572
 
2.2%
남원시 484
 
1.9%
군산시 482
 
1.9%
부안군 460
 
1.8%
완주군 422
 
1.6%
덕진구 388
 
1.5%
Other values (6716) 20208
78.8%
2023-12-11T00:49:56.652023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19019
 
19.1%
길 5320
 
5.3%
1 4514
 
4.5%
면 4387
 
4.4%
시 3631
 
3.6%
군 3534
 
3.6%
2 2985
 
3.0%
산 2766
 
2.8%
3 2245
 
2.3%
- 2184
 
2.2%
Other values (429) 48924
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59517
59.8%
Space Separator 19019
 
19.1%
Decimal Number 18780
 
18.9%
Dash Punctuation 2184
 
2.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 5320
 
8.9%
면 4387
 
7.4%
시 3631
 
6.1%
군 3534
 
5.9%
산 2766
 
4.6%
주 1648
 
2.8%
로 1430
 
2.4%
읍 1409
 
2.4%
안 1385
 
2.3%
창 1151
 
1.9%
Other values (413) 32856
55.2%
Decimal Number
ValueCountFrequency (%)
1 4514
24.0%
2 2985
15.9%
3 2245
12.0%
4 1765
 
9.4%
5 1539
 
8.2%
6 1355
 
7.2%
7 1197
 
6.4%
8 1114
 
5.9%
9 1069
 
5.7%
0 997
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
19019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59517
59.8%
Common 39992
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 5320
 
8.9%
면 4387
 
7.4%
시 3631
 
6.1%
군 3534
 
5.9%
산 2766
 
4.6%
주 1648
 
2.8%
로 1430
 
2.4%
읍 1409
 
2.4%
안 1385
 
2.3%
창 1151
 
1.9%
Other values (413) 32856
55.2%
Common
ValueCountFrequency (%)
19019
47.6%
1 4514
 
11.3%
2 2985
 
7.5%
3 2245
 
5.6%
- 2184
 
5.5%
4 1765
 
4.4%
5 1539
 
3.8%
6 1355
 
3.4%
7 1197
 
3.0%
8 1114
 
2.8%
Other values (6) 2075
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59517
59.8%
ASCII 39992
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19019
47.6%
1 4514
 
11.3%
2 2985
 
7.5%
3 2245
 
5.6%
- 2184
 
5.5%
4 1765
 
4.4%
5 1539
 
3.8%
6 1355
 
3.4%
7 1197
 
3.0%
8 1114
 
2.8%
Other values (6) 2075
 
5.2%
Hangul
ValueCountFrequency (%)
길 5320
 
8.9%
면 4387
 
7.4%
시 3631
 
6.1%
군 3534
 
5.9%
산 2766
 
4.6%
주 1648
 
2.8%
로 1430
 
2.4%
읍 1409
 
2.4%
안 1385
 
2.3%
창 1151
 
1.9%
Other values (413) 32856
55.2%

전화번호
Text

Distinct3776
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2023-12-11T00:49:56.896401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length7.5430124
Min length1

Characters and Unicode

Total characters49980
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

Unique3616 ?
Unique (%)54.6%

Sample

1st row063-284-7628
2nd row063-272-3691
3rd row063-275-6833
4th row063-284-5273
5th row063-284-2895
ValueCountFrequency (%)
2684
40.5%
063-211-8146 6
 
0.1%
063-253-7114 4
 
0.1%
063-562-4032 3
 
< 0.1%
063-564-9557 3
 
< 0.1%
063-272-0822 2
 
< 0.1%
063-211-6601 2
 
< 0.1%
063-253-7958 2
 
< 0.1%
063-291-2763 2
 
< 0.1%
063-253-3454 2
 
< 0.1%
Other values (3766) 3916
59.1%
2023-12-11T00:49:57.348159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10565
21.1%
3 7510
15.0%
6 6924
13.9%
0 5965
11.9%
5 3990
 
8.0%
2 3859
 
7.7%
4 3152
 
6.3%
1 2418
 
4.8%
8 2266
 
4.5%
7 1828
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39415
78.9%
Dash Punctuation 10565
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7510
19.1%
6 6924
17.6%
0 5965
15.1%
5 3990
10.1%
2 3859
9.8%
4 3152
8.0%
1 2418
 
6.1%
8 2266
 
5.7%
7 1828
 
4.6%
9 1503
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 10565
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10565
21.1%
3 7510
15.0%
6 6924
13.9%
0 5965
11.9%
5 3990
 
8.0%
2 3859
 
7.7%
4 3152
 
6.3%
1 2418
 
4.8%
8 2266
 
4.5%
7 1828
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10565
21.1%
3 7510
15.0%
6 6924
13.9%
0 5965
11.9%
5 3990
 
8.0%
2 3859
 
7.7%
4 3152
 
6.3%
1 2418
 
4.8%
8 2266
 
4.5%
7 1828
 
3.7%

회원수
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.729097
Minimum0
Maximum181
Zeros2349
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2023-12-11T00:49:57.533712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q332
95-th percentile55
Maximum181
Range181
Interquartile range (IQR)32

Descriptive statistics

Standard deviation19.322786
Coefficient of variation (CV)0.97940549
Kurtosis2.8076104
Mean19.729097
Median Absolute Deviation (MAD)19
Skewness1.1023693
Sum130725
Variance373.37007
MonotonicityNot monotonic
2023-12-11T00:49:57.700874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2349
35.5%
30 174
 
2.6%
21 155
 
2.3%
22 150
 
2.3%
20 145
 
2.2%
26 143
 
2.2%
24 135
 
2.0%
25 131
 
2.0%
32 131
 
2.0%
18 127
 
1.9%
Other values (93) 2986
45.1%
ValueCountFrequency (%)
0 2349
35.5%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 15
 
0.2%
10 84
 
1.3%
11 83
 
1.3%
12 79
 
1.2%
13 101
 
1.5%
14 112
 
1.7%
ValueCountFrequency (%)
181 1
< 0.1%
168 1
< 0.1%
162 1
< 0.1%
159 1
< 0.1%
128 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
117 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
노인장애인복지과
6626 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노인장애인복지과
2nd row노인장애인복지과
3rd row노인장애인복지과
4th row노인장애인복지과
5th row노인장애인복지과

Common Values

ValueCountFrequency (%)
노인장애인복지과 6626
100.0%

Length

2023-12-11T00:49:57.913252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:49:58.085872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 6626
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
공개
6626 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공개
2nd row공개
3rd row공개
4th row공개
5th row공개

Common Values

ValueCountFrequency (%)
공개 6626
100.0%

Length

2023-12-11T00:49:58.254412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:49:58.406212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 6626
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2018.1
6626 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018.1
2nd row2018.1
3rd row2018.1
4th row2018.1
5th row2018.1

Common Values

ValueCountFrequency (%)
2018.1 6626
100.0%

Length

2023-12-11T00:49:58.552484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:49:58.656282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018.1 6626
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
1년
6626 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 6626
100.0%

Length

2023-12-11T00:49:58.770877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:49:58.907386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 6626
100.0%

Interactions

2023-12-11T00:49:51.773083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:49:51.453201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:49:51.891025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:49:51.616966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T00:49:58.990940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명회원수
순번1.0000.9610.403
시군명0.9611.0000.586
회원수0.4030.5861.000
2023-12-11T00:49:59.123755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수시군명
순번1.000-0.0690.815
회원수-0.0691.0000.269
시군명0.8150.2691.000

Missing values

2023-12-11T00:49:52.107381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:49:52.403487image/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

순번시군명시설명시설구분설치신고일시설장주소전화번호회원수자료출처공개여부작성일갱신주기
01전주시다가제일경로당1989-07-01 00:00:00오현갑전주시 완산구 전주천동로 200-50063-284-762833노인장애인복지과공개2018.11년
12전주시태평 2경로당1989-07-20 00:00:00방극조전주시 완산구 물레방아3길 6-1063-272-369126노인장애인복지과공개2018.11년
23전주시태평 1경로당1989-07-20 00:00:00김정산전주시 완산구 공북로 67-5063-275-683340노인장애인복지과공개2018.11년
34전주시연수정경로당1989-08-18 00:00:00유길철전주시 완산구 전라감영5길 19-11063-284-527321노인장애인복지과공개2018.11년
45전주시일심자모경로당1989-08-18 00:00:00이인영전주시 완산구 전주객사2길 46-8063-284-289528노인장애인복지과공개2018.11년
56전주시거목경로당1993-05-26 00:00:00김상태전주시 완산구 전주객사4길 87-7063-254-838827노인장애인복지과공개2018.11년
67전주시만수제경로당1993-05-26 00:00:00이희구전주시 완산구 공북1길 11063-275-439574노인장애인복지과공개2018.11년
78전주시태평경로당1996-01-20 00:00:00김동성전주시 완산구 태진로 15-14063-272-117036노인장애인복지과공개2018.11년
89전주시태평자모경로당1999-07-09 00:00:00이양근전주시 완산구 물레방아3길 6-1063-271-300744노인장애인복지과공개2018.11년
910전주시중앙아파트경로당2007-06-11 00:00:00김남순전주시 완산구 태평3길 70063-275-724830노인장애인복지과공개2018.11년
순번시군명시설명시설구분설치신고일시설장주소전화번호회원수자료출처공개여부작성일갱신주기
66166626부안군벌금경로당경로당1989-10-05 00:00:00박석조부안군 위도면 벌금안길 16-24노인장애인복지과공개2018.11년
66176627부안군벌금여자경로당경로당2002-12-27 00:00:00정부진부안군 위도면 벌금안길 16063-584-114031노인장애인복지과공개2018.11년
66186628부안군식도경로당경로당1989-11-08 00:00:00송영일부안군 위도면 식도1길 19-5-29노인장애인복지과공개2018.11년
66196629부안군위도분회경로당경로당1995-11-23 00:00:00이형식부안군 위도면 진리안길 22-22노인장애인복지과공개2018.11년
66206630부안군전막경로당경로당1999-12-09 00:00:00서의작부안군 위도면 위도로 1059-4-23노인장애인복지과공개2018.11년
66216631부안군진리남자경로당경로당1989-10-05 00:00:00정치수부안군 위도면 진리길 4063-583-300526노인장애인복지과공개2018.11년
66226632부안군진리여자경로당경로당1995-06-13 00:00:00최순자부안군 위도면 진리안길 23063-584-584647노인장애인복지과공개2018.11년
66236633부안군치도남자경로당경로당1989-10-05 00:00:00정병호부안군 위도면 위도로 1473-24노인장애인복지과공개2018.11년
66246634부안군치도여자경로당경로당1994-02-24 00:00:00박순례부안군 위도면 진리잔등로 128063-584-782828노인장애인복지과공개2018.11년
66256635부안군파장금경로당경로당1991-01-25 00:00:00장권만부안군 위도면 파장금길 8063-583-383328노인장애인복지과공개2018.11년