Overview

Dataset statistics

Number of variables13
Number of observations6632
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory693.1 KiB
Average record size in memory107.0 B

Variable types

Numeric2
Categorical6
Text5

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
회원수 has 2352 (35.5%) zerosZeros

Reproduction

Analysis started2024-03-14 02:21:29.342793
Analysis finished2024-03-14 02:21:31.032490
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6632
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3316.9368
Minimum1
Maximum6635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-03-14T11:21:31.092052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile332.55
Q11658.75
median3316.5
Q34974.25
95-th percentile6303.45
Maximum6635
Range6634
Interquartile range (IQR)3315.5

Descriptive statistics

Standard deviation1915.2668
Coefficient of variation (CV)0.57742033
Kurtosis-1.1994928
Mean3316.9368
Median Absolute Deviation (MAD)1658
Skewness0.00076034326
Sum21997925
Variance3668246.7
MonotonicityStrictly increasing
2024-03-14T11:21:31.217477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4419 1
 
< 0.1%
4429 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%
Other values (6622) 6622
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
612 
고창군
570 
Other values (13)
3432 

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 612
9.2%
고창군 570
8.6%
남원시 484
 
7.3%
군산시 484
 
7.3%
부안군 462
 
7.0%
완주군 422
 
6.4%
순창군 368
 
5.5%
Other values (8) 1212
18.3%

Length

2024-03-14T11:21:31.335846image/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 612
9.2%
고창군 570
8.6%
남원시 484
 
7.3%
군산시 484
 
7.3%
부안군 462
 
7.0%
완주군 422
 
6.4%
순창군 368
 
5.5%
Other values (8) 1212
18.3%

시설명
Text

Distinct5233
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-03-14T11:21:31.574900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.9597407
Min length2

Characters and Unicode

Total characters32893
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

Unique4463 ?
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 (5210) 6501
97.0%
2024-03-14T11:21:31.945693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 4444
 
13.5%
경 4429
 
13.5%
로 4376
 
13.3%
동 702
 
2.1%
신 570
 
1.7%
산 510
 
1.6%
성 364
 
1.1%
아 359
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (470) 16512
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32105
97.6%
Decimal Number 387
 
1.2%
Open Punctuation 144
 
0.4%
Close 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 4444
 
13.8%
경 4429
 
13.8%
로 4376
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 510
 
1.6%
성 364
 
1.1%
아 359
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15724
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 (%)
T 11
37.9%
P 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%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close 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 32105
97.6%
Common 758
 
2.3%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 4444
 
13.8%
경 4429
 
13.8%
로 4376
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 510
 
1.6%
성 364
 
1.1%
아 359
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15724
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 (%)
T 11
36.7%
P 11
36.7%
K 3
 
10.0%
J 2
 
6.7%
e 1
 
3.3%
B 1
 
3.3%
S 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32105
97.6%
ASCII 788
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 4444
 
13.8%
경 4429
 
13.8%
로 4376
 
13.6%
동 702
 
2.2%
신 570
 
1.8%
산 510
 
1.6%
성 364
 
1.1%
아 359
 
1.1%
정 325
 
1.0%
원 302
 
0.9%
Other values (447) 15724
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%
T 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
6632 

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 6632
100.0%

Length

2024-03-14T11:21:32.061148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:21:32.158913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당 6632
100.0%

설치신고일
Text

Distinct3240
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-03-14T11:21:32.427509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7177322
Min length1

Characters and Unicode

Total characters64448
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

Unique1978 ?
Unique (%)29.8%

Sample

1st row1989-07-01
2nd row1989-07-20
3rd row1989-07-20
4th row1989-08-18
5th row1989-08-18
ValueCountFrequency (%)
1991-04-01 130
 
2.0%
1989-07-07 111
 
1.7%
1990-12-30 52
 
0.8%
1989-07-01 45
 
0.7%
1989-07-20 41
 
0.6%
1989-07-10 36
 
0.5%
1997 25
 
0.4%
1993 24
 
0.4%
1982-03-31 24
 
0.4%
1996 24
 
0.4%
Other values (3230) 6120
92.3%
2024-03-14T11:21:32.793144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14296
22.2%
- 12646
19.6%
1 10838
16.8%
9 8166
12.7%
2 7365
11.4%
8 2479
 
3.8%
3 2224
 
3.5%
7 1910
 
3.0%
4 1629
 
2.5%
5 1468
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51802
80.4%
Dash Punctuation 12646
 
19.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14296
27.6%
1 10838
20.9%
9 8166
15.8%
2 7365
14.2%
8 2479
 
4.8%
3 2224
 
4.3%
7 1910
 
3.7%
4 1629
 
3.1%
5 1468
 
2.8%
6 1427
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 12646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64448
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14296
22.2%
- 12646
19.6%
1 10838
16.8%
9 8166
12.7%
2 7365
11.4%
8 2479
 
3.8%
3 2224
 
3.5%
7 1910
 
3.0%
4 1629
 
2.5%
5 1468
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14296
22.2%
- 12646
19.6%
1 10838
16.8%
9 8166
12.7%
2 7365
11.4%
8 2479
 
3.8%
3 2224
 
3.5%
7 1910
 
3.0%
4 1629
 
2.5%
5 1468
 
2.3%

시설장
Text

Distinct5865
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-03-14T11:21:33.079829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9992461
Min length1

Characters and Unicode

Total characters19891
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

Unique5290 ?
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 (5854) 6574
99.1%
2024-03-14T11:21:33.498631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1479
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 503
 
2.5%
순 487
 
2.4%
영 478
 
2.4%
수 399
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (272) 13941
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19885
> 99.9%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1479
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 503
 
2.5%
순 487
 
2.4%
영 478
 
2.4%
수 399
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13935
70.1%
Other Punctuation
ValueCountFrequency (%)
? 4
80.0%
, 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19885
> 99.9%
Common 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1479
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 503
 
2.5%
순 487
 
2.4%
영 478
 
2.4%
수 399
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13935
70.1%
Common
ValueCountFrequency (%)
? 4
66.7%
- 1
 
16.7%
, 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19885
> 99.9%
ASCII 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1479
 
7.4%
이 956
 
4.8%
정 592
 
3.0%
박 503
 
2.5%
순 487
 
2.4%
영 478
 
2.4%
수 399
 
2.0%
최 359
 
1.8%
종 355
 
1.8%
기 342
 
1.7%
Other values (269) 13935
70.1%
ASCII
ValueCountFrequency (%)
? 4
66.7%
- 1
 
16.7%
, 1
 
16.7%

도로명주소
Text

Distinct6324
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-03-14T11:21:33.825165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.012063
Min length8

Characters and Unicode

Total characters99560
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

Unique6028 ?
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 612
 
2.4%
고창군 571
 
2.2%
남원시 484
 
1.9%
군산시 484
 
1.9%
부안군 462
 
1.8%
완주군 422
 
1.6%
덕진구 388
 
1.5%
Other values (6698) 20226
78.8%
2024-03-14T11:21:34.505452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19035
 
19.1%
길 5341
 
5.4%
1 4517
 
4.5%
면 4391
 
4.4%
시 3634
 
3.7%
군 3538
 
3.6%
2 2984
 
3.0%
산 2771
 
2.8%
3 2242
 
2.3%
- 2174
 
2.2%
Other values (429) 48933
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59572
59.8%
Space Separator 19035
 
19.1%
Decimal Number 18770
 
18.9%
Dash Punctuation 2174
 
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 5341
 
9.0%
면 4391
 
7.4%
시 3634
 
6.1%
군 3538
 
5.9%
산 2771
 
4.7%
주 1649
 
2.8%
로 1437
 
2.4%
읍 1410
 
2.4%
안 1388
 
2.3%
창 1150
 
1.9%
Other values (413) 32863
55.2%
Decimal Number
ValueCountFrequency (%)
1 4517
24.1%
2 2984
15.9%
3 2242
11.9%
4 1762
 
9.4%
5 1541
 
8.2%
6 1359
 
7.2%
7 1195
 
6.4%
8 1108
 
5.9%
9 1068
 
5.7%
0 994
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
19035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59572
59.8%
Common 39988
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 5341
 
9.0%
면 4391
 
7.4%
시 3634
 
6.1%
군 3538
 
5.9%
산 2771
 
4.7%
주 1649
 
2.8%
로 1437
 
2.4%
읍 1410
 
2.4%
안 1388
 
2.3%
창 1150
 
1.9%
Other values (413) 32863
55.2%
Common
ValueCountFrequency (%)
19035
47.6%
1 4517
 
11.3%
2 2984
 
7.5%
3 2242
 
5.6%
- 2174
 
5.4%
4 1762
 
4.4%
5 1541
 
3.9%
6 1359
 
3.4%
7 1195
 
3.0%
8 1108
 
2.8%
Other values (6) 2071
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59572
59.8%
ASCII 39988
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19035
47.6%
1 4517
 
11.3%
2 2984
 
7.5%
3 2242
 
5.6%
- 2174
 
5.4%
4 1762
 
4.4%
5 1541
 
3.9%
6 1359
 
3.4%
7 1195
 
3.0%
8 1108
 
2.8%
Other values (6) 2071
 
5.2%
Hangul
ValueCountFrequency (%)
길 5341
 
9.0%
면 4391
 
7.4%
시 3634
 
6.1%
군 3538
 
5.9%
산 2771
 
4.7%
주 1649
 
2.8%
로 1437
 
2.4%
읍 1410
 
2.4%
안 1388
 
2.3%
창 1150
 
1.9%
Other values (413) 32863
55.2%

전화번호
Text

Distinct3778
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2024-03-14T11:21:34.691705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length7.5420688
Min length1

Characters and Unicode

Total characters50019
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

Unique3617 ?
Unique (%)54.5%

Sample

1st row063-284-7628
2nd row063-272-3691
3rd row063-275-6833
4th row063-284-5273
5th row063-284-2895
ValueCountFrequency (%)
2687
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%
063-274-7974 2
 
< 0.1%
063-275-7455 2
 
< 0.1%
063-212-2549 2
 
< 0.1%
063-253-3005 2
 
< 0.1%
063-272-4474 2
 
< 0.1%
Other values (3768) 3919
59.1%
2024-03-14T11:21:35.011971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10574
21.1%
3 7516
15.0%
6 6930
13.9%
0 5971
11.9%
5 3991
 
8.0%
2 3861
 
7.7%
4 3155
 
6.3%
1 2421
 
4.8%
8 2267
 
4.5%
7 1829
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39445
78.9%
Dash Punctuation 10574
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 7516
19.1%
6 6930
17.6%
0 5971
15.1%
5 3991
10.1%
2 3861
9.8%
4 3155
8.0%
1 2421
 
6.1%
8 2267
 
5.7%
7 1829
 
4.6%
9 1504
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 10574
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10574
21.1%
3 7516
15.0%
6 6930
13.9%
0 5971
11.9%
5 3991
 
8.0%
2 3861
 
7.7%
4 3155
 
6.3%
1 2421
 
4.8%
8 2267
 
4.5%
7 1829
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10574
21.1%
3 7516
15.0%
6 6930
13.9%
0 5971
11.9%
5 3991
 
8.0%
2 3861
 
7.7%
4 3155
 
6.3%
1 2421
 
4.8%
8 2267
 
4.5%
7 1829
 
3.7%

회원수
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.722708
Minimum0
Maximum181
Zeros2352
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size58.4 KiB
2024-03-14T11:21:35.140076image/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 deviation19.321077
Coefficient of variation (CV)0.97963613
Kurtosis2.8067331
Mean19.722708
Median Absolute Deviation (MAD)19
Skewness1.102467
Sum130801
Variance373.30404
MonotonicityNot monotonic
2024-03-14T11:21:35.254378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2352
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) 2989
45.1%
ValueCountFrequency (%)
0 2352
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%
13 102
 
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
6632 

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 6632
100.0%

Length

2024-03-14T11:21:35.370107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:21:35.458840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 6632
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
공개
6632 

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 6632
100.0%

Length

2024-03-14T11:21:35.536985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:21:35.613145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 6632
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
2015.1
6632 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 6632
100.0%

Length

2024-03-14T11:21:35.688878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:21:35.772906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 6632
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.9 KiB
1년
6632 

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 6632
100.0%

Length

2024-03-14T11:21:35.851257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:21:35.930465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 6632
100.0%

Interactions

2024-03-14T11:21:30.614642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:21:30.412155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:21:30.689506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:21:30.527327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:21:36.001209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명회원수
순번1.0000.9610.403
시군명0.9611.0000.586
회원수0.4030.5861.000
2024-03-14T11:21:36.085547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수시군명
순번1.000-0.0680.815
회원수-0.0681.0000.269
시군명0.8150.2691.000

Missing values

2024-03-14T11:21:30.800054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:21:30.962674image/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

순번시군명시설명시설구분설치신고일시설장도로명주소전화번호회원수자료출처공개여부작성일갱신주기
01전주시다가제일경로당1989-07-01오현갑전주시 완산구 전주천동로 200-50063-284-762833노인장애인복지과공개2015.11년
12전주시태평 2경로당1989-07-20방극조전주시 완산구 물레방아3길 6-1063-272-369126노인장애인복지과공개2015.11년
23전주시태평 1경로당1989-07-20김정산전주시 완산구 공북로 67-5063-275-683340노인장애인복지과공개2015.11년
34전주시연수정경로당1989-08-18유길철전주시 완산구 전라감영5길 19-11063-284-527321노인장애인복지과공개2015.11년
45전주시일심자모경로당1989-08-18이인영전주시 완산구 전주객사2길 46-8063-284-289528노인장애인복지과공개2015.11년
56전주시거목경로당1993-05-26김상태전주시 완산구 전주객사4길 87-7063-254-838827노인장애인복지과공개2015.11년
67전주시만수제경로당1993-05-26이희구전주시 완산구 공북1길 11063-275-439574노인장애인복지과공개2015.11년
78전주시태평경로당1996-01-20김동성전주시 완산구 태진로 15-14063-272-117036노인장애인복지과공개2015.11년
89전주시태평자모경로당1999-07-09이양근전주시 완산구 물레방아3길 6-1063-271-300744노인장애인복지과공개2015.11년
910전주시중앙아파트경로당2007-06-11김남순전주시 완산구 태평3길 70063-275-724830노인장애인복지과공개2015.11년
순번시군명시설명시설구분설치신고일시설장도로명주소전화번호회원수자료출처공개여부작성일갱신주기
66226626부안군벌금경로당경로당1989-10-05박석조부안군 위도면 벌금안길 16-24노인장애인복지과공개2015.11년
66236627부안군벌금여자경로당경로당2002-12-27정부진부안군 위도면 벌금안길 16063-584-114031노인장애인복지과공개2015.11년
66246628부안군식도경로당경로당1989-11-08송영일부안군 위도면 식도1길 19-5-29노인장애인복지과공개2015.11년
66256629부안군위도분회경로당경로당1995-11-23이형식부안군 위도면 진리안길 22-22노인장애인복지과공개2015.11년
66266630부안군전막경로당경로당1999-12-09서의작부안군 위도면 위도로 1059-4-23노인장애인복지과공개2015.11년
66276631부안군진리남자경로당경로당1989-10-05정치수부안군 위도면 진리길 4063-583-300526노인장애인복지과공개2015.11년
66286632부안군진리여자경로당경로당1995-06-13최순자부안군 위도면 진리안길 23063-584-584647노인장애인복지과공개2015.11년
66296633부안군치도남자경로당경로당1989-10-05정병호부안군 위도면 위도로 1473-24노인장애인복지과공개2015.11년
66306634부안군치도여자경로당경로당1994-02-24박순례부안군 위도면 진리잔등로 128063-584-782828노인장애인복지과공개2015.11년
66316635부안군파장금경로당경로당1991-01-25장권만부안군 위도면 파장금길 8063-583-383328노인장애인복지과공개2015.11년