Overview

Dataset statistics

Number of variables7
Number of observations287
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory58.5 B

Variable types

Numeric2
Text3
Categorical2

Alerts

자료출처 has constant value ""Constant
순 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 순High correlation
순 has unique valuesUnique
주소 has unique valuesUnique
전화 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:14:10.582950
Analysis finished2024-03-14 02:14:11.354422
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.40767
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-14T11:14:11.413265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.3
Q172.5
median144
Q3216.5
95-th percentile273.7
Maximum288
Range287
Interquartile range (IQR)144

Descriptive statistics

Standard deviation83.413355
Coefficient of variation (CV)0.57762415
Kurtosis-1.2050963
Mean144.40767
Median Absolute Deviation (MAD)72
Skewness0.0032312565
Sum41445
Variance6957.7878
MonotonicityStrictly increasing
2024-03-14T11:14:11.524896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
2 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (277) 277
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%

기관명
Text

Distinct264
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T11:14:11.713925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length9
Min length8

Characters and Unicode

Total characters2583
Distinct characters282
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

Unique244 ?
Unique (%)85.0%

Sample

1st row고창지역아동센터
2nd row다아솜지역아동센터
3rd row성내하늘땅지역아동센터
4th row써미트지역아동센터
5th row열린지역아동센터
ValueCountFrequency (%)
솔로몬지역아동센터 4
 
1.4%
희망지역아동센터 3
 
1.0%
우리지역아동센터 3
 
1.0%
열린지역아동센터 2
 
0.7%
푸른꿈지역아동센터 2
 
0.7%
한우리지역아동센터 2
 
0.7%
발산지역아동센터 2
 
0.7%
동산지역아동센터 2
 
0.7%
드림지역아동센터 2
 
0.7%
한사랑지역아동센터 2
 
0.7%
Other values (260) 270
91.8%
2024-03-14T11:14:12.028313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 300
 
11.6%
아 294
 
11.4%
지 289
 
11.2%
터 286
 
11.1%
역 284
 
11.0%
센 284
 
11.0%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.6%
리 16
 
0.6%
Other values (272) 776
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2518
97.5%
Lowercase Letter 16
 
0.6%
Uppercase Letter 10
 
0.4%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%
Other Punctuation 8
 
0.3%
Decimal Number 8
 
0.3%
Space Separator 6
 
0.2%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 300
11.9%
아 294
11.7%
지 289
11.5%
터 286
11.4%
역 284
 
11.3%
센 284
 
11.3%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.6%
리 16
 
0.6%
Other values (247) 711
28.2%
Lowercase Letter
ValueCountFrequency (%)
p 4
25.0%
n 2
12.5%
e 2
12.5%
o 2
12.5%
a 2
12.5%
y 2
12.5%
z 1
 
6.2%
h 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Y 2
20.0%
J 2
20.0%
A 1
10.0%
C 1
10.0%
W 1
10.0%
G 1
10.0%
Z 1
10.0%
H 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
3 2
25.0%
8 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
! 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2518
97.5%
Common 39
 
1.5%
Latin 26
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 300
11.9%
아 294
11.7%
지 289
11.5%
터 286
11.4%
역 284
 
11.3%
센 284
 
11.3%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.6%
리 16
 
0.6%
Other values (247) 711
28.2%
Latin
ValueCountFrequency (%)
p 4
15.4%
n 2
 
7.7%
Y 2
 
7.7%
e 2
 
7.7%
o 2
 
7.7%
J 2
 
7.7%
a 2
 
7.7%
y 2
 
7.7%
z 1
 
3.8%
h 1
 
3.8%
Other values (6) 6
23.1%
Common
ValueCountFrequency (%)
) 8
20.5%
( 8
20.5%
, 7
17.9%
6
15.4%
1 4
10.3%
3 2
 
5.1%
8 2
 
5.1%
! 1
 
2.6%
1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2518
97.5%
ASCII 65
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 300
11.9%
아 294
11.7%
지 289
11.5%
터 286
11.4%
역 284
 
11.3%
센 284
 
11.3%
산 20
 
0.8%
나 18
 
0.7%
한 16
 
0.6%
리 16
 
0.6%
Other values (247) 711
28.2%
ASCII
ValueCountFrequency (%)
) 8
 
12.3%
( 8
 
12.3%
, 7
 
10.8%
6
 
9.2%
p 4
 
6.2%
1 4
 
6.2%
3 2
 
3.1%
8 2
 
3.1%
n 2
 
3.1%
Y 2
 
3.1%
Other values (15) 20
30.8%

시군구
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
전주시
66 
군산시
50 
익산시
47 
정읍시
30 
남원시
25 
Other values (9)
69 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 66
23.0%
군산시 50
17.4%
익산시 47
16.4%
정읍시 30
10.5%
남원시 25
 
8.7%
완주군 13
 
4.5%
진안군 12
 
4.2%
김제시 11
 
3.8%
장수군 7
 
2.4%
고창군 6
 
2.1%
Other values (4) 20
 
7.0%

Length

2024-03-14T11:14:12.134176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 66
23.0%
군산시 50
17.4%
익산시 47
16.4%
정읍시 30
10.5%
남원시 25
 
8.7%
완주군 13
 
4.5%
진안군 12
 
4.2%
김제시 11
 
3.8%
장수군 7
 
2.4%
고창군 6
 
2.1%
Other values (4) 20
 
7.0%

주소
Text

UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T11:14:12.384623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length19.278746
Min length12

Characters and Unicode

Total characters5533
Distinct characters246
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

Unique287 ?
Unique (%)100.0%

Sample

1st row전북 고창군 고창읍 성산2길 23, 2층
2nd row전북 고창군 부안면 복분자로 916-1
3rd row전북 고창군 성내면 시기2길18
4th row전북 고창군 고창읍 월곡공원2길 37
5th row전북 고창군 고창읍 상월1길 20
ValueCountFrequency (%)
전북 286
 
19.8%
전주시 66
 
4.6%
군산시 50
 
3.5%
익산시 47
 
3.2%
2층 43
 
3.0%
완산구 35
 
2.4%
덕진구 31
 
2.1%
정읍시 30
 
2.1%
남원시 25
 
1.7%
3층 14
 
1.0%
Other values (605) 820
56.7%
2024-03-14T11:14:12.818238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1194
21.6%
전 358
 
6.5%
북 298
 
5.4%
1 234
 
4.2%
시 234
 
4.2%
2 189
 
3.4%
산 168
 
3.0%
로 164
 
3.0%
길 147
 
2.7%
3 114
 
2.1%
Other values (236) 2433
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3142
56.8%
Space Separator 1194
 
21.6%
Decimal Number 1025
 
18.5%
Dash Punctuation 94
 
1.7%
Other Punctuation 73
 
1.3%
Uppercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 358
 
11.4%
북 298
 
9.5%
시 234
 
7.4%
산 168
 
5.3%
로 164
 
5.2%
길 147
 
4.7%
군 109
 
3.5%
주 93
 
3.0%
구 78
 
2.5%
면 69
 
2.2%
Other values (216) 1424
45.3%
Decimal Number
ValueCountFrequency (%)
1 234
22.8%
2 189
18.4%
3 114
11.1%
4 93
 
9.1%
5 85
 
8.3%
6 71
 
6.9%
0 67
 
6.5%
7 62
 
6.0%
8 61
 
6.0%
9 49
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 70
95.9%
@ 2
 
2.7%
. 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
1194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3142
56.8%
Common 2389
43.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 358
 
11.4%
북 298
 
9.5%
시 234
 
7.4%
산 168
 
5.3%
로 164
 
5.2%
길 147
 
4.7%
군 109
 
3.5%
주 93
 
3.0%
구 78
 
2.5%
면 69
 
2.2%
Other values (216) 1424
45.3%
Common
ValueCountFrequency (%)
1194
50.0%
1 234
 
9.8%
2 189
 
7.9%
3 114
 
4.8%
- 94
 
3.9%
4 93
 
3.9%
5 85
 
3.6%
6 71
 
3.0%
, 70
 
2.9%
0 67
 
2.8%
Other values (8) 178
 
7.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3142
56.8%
ASCII 2391
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1194
49.9%
1 234
 
9.8%
2 189
 
7.9%
3 114
 
4.8%
- 94
 
3.9%
4 93
 
3.9%
5 85
 
3.6%
6 71
 
3.0%
, 70
 
2.9%
0 67
 
2.8%
Other values (10) 180
 
7.5%
Hangul
ValueCountFrequency (%)
전 358
 
11.4%
북 298
 
9.5%
시 234
 
7.4%
산 168
 
5.3%
로 164
 
5.2%
길 147
 
4.7%
군 109
 
3.5%
주 93
 
3.0%
구 78
 
2.5%
면 69
 
2.2%
Other values (216) 1424
45.3%

우편번호
Real number (ℝ)

Distinct258
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54974.986
Minimum26309
Maximum56439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-14T11:14:12.935714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26309
5-th percentile54045.5
Q154574
median54990
Q355716.5
95-th percentile56201
Maximum56439
Range30130
Interquartile range (IQR)1142.5

Descriptive statistics

Standard deviation1840.4729
Coefficient of variation (CV)0.03347837
Kurtosis207.15078
Mean54974.986
Median Absolute Deviation (MAD)569
Skewness-13.266639
Sum15777821
Variance3387340.6
MonotonicityNot monotonic
2024-03-14T11:14:13.052664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54511 3
 
1.0%
56165 2
 
0.7%
54395 2
 
0.7%
54830 2
 
0.7%
54329 2
 
0.7%
54033 2
 
0.7%
56201 2
 
0.7%
54592 2
 
0.7%
54041 2
 
0.7%
54921 2
 
0.7%
Other values (248) 266
92.7%
ValueCountFrequency (%)
26309 1
0.3%
54005 1
0.3%
54009 1
0.3%
54011 1
0.3%
54012 1
0.3%
54018 1
0.3%
54019 1
0.3%
54025 1
0.3%
54033 2
0.7%
54036 1
0.3%
ValueCountFrequency (%)
56439 1
0.3%
56433 1
0.3%
56430 1
0.3%
56426 1
0.3%
56420 1
0.3%
56416 1
0.3%
56346 1
0.3%
56341 1
0.3%
56323 1
0.3%
56314 1
0.3%

전화
Text

UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-14T11:14:13.297706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066202
Min length12

Characters and Unicode

Total characters3463
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

Unique287 ?
Unique (%)100.0%

Sample

1st row063-561-3927
2nd row063-562-6331
3rd row063-563-5615
4th row063-562-3709
5th row063-564-9821
ValueCountFrequency (%)
063-561-3927 1
 
0.3%
063-282-0209 1
 
0.3%
063-251-1007 1
 
0.3%
070-8843-1377 1
 
0.3%
063-232-1091 1
 
0.3%
063-908-9324 1
 
0.3%
063-227-8291 1
 
0.3%
063-212-5025 1
 
0.3%
063-283-2858 1
 
0.3%
063-273-6745 1
 
0.3%
Other values (277) 277
96.5%
2024-03-14T11:14:13.633524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 574
16.6%
3 538
15.5%
0 490
14.1%
6 456
13.2%
2 287
8.3%
5 226
 
6.5%
4 215
 
6.2%
8 190
 
5.5%
1 187
 
5.4%
7 163
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2889
83.4%
Dash Punctuation 574
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 538
18.6%
0 490
17.0%
6 456
15.8%
2 287
9.9%
5 226
7.8%
4 215
 
7.4%
8 190
 
6.6%
1 187
 
6.5%
7 163
 
5.6%
9 137
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 574
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 574
16.6%
3 538
15.5%
0 490
14.1%
6 456
13.2%
2 287
8.3%
5 226
 
6.5%
4 215
 
6.2%
8 190
 
5.5%
1 187
 
5.4%
7 163
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 574
16.6%
3 538
15.5%
0 490
14.1%
6 456
13.2%
2 287
8.3%
5 226
 
6.5%
4 215
 
6.2%
8 190
 
5.5%
1 187
 
5.4%
7 163
 
4.7%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
여성청소년과
287 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여성청소년과 287
100.0%

Length

2024-03-14T11:14:13.748703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:14:13.822997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성청소년과 287
100.0%

Interactions

2024-03-14T11:14:11.053953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:14:10.864891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:14:11.129414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:14:10.946461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:14:13.865754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순시군구우편번호
순1.0000.920NaN
시군구0.9201.000NaN
우편번호NaNNaN1.000
2024-03-14T11:14:13.968090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순우편번호시군구
순1.0000.4770.703
우편번호0.4771.0000.345
시군구0.7030.3451.000

Missing values

2024-03-14T11:14:11.222159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:14:11.310249image/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

순기관명시군구주소우편번호전화자료출처
01고창지역아동센터고창군전북 고창군 고창읍 성산2길 23, 2층56433063-561-3927여성청소년과
12다아솜지역아동센터고창군전북 고창군 부안면 복분자로 916-156416063-562-6331여성청소년과
23성내하늘땅지역아동센터고창군전북 고창군 성내면 시기2길1856420063-563-5615여성청소년과
34써미트지역아동센터고창군전북 고창군 고창읍 월곡공원2길 3756430063-562-3709여성청소년과
45열린지역아동센터고창군전북 고창군 고창읍 상월1길 2056426063-564-9821여성청소년과
56한마음지역아동센터고창군전북 고창군 고창읍 남구4길 956439063-561-1775여성청소년과
671318HappyZone행복스케치군산시전북 군산시 해망로 40754019063-442-1318여성청소년과
78개정지역아동센터군산시전북 군산시 아동남로154068063-451-3738여성청소년과
89경암지역아동센터군산시전북 군산시 경암2길 1054036063-445-1717여성청소년과
910구암지역아동센터군산시전북 군산시 서당길 56-654044063-442-0968여성청소년과
순기관명시군구주소우편번호전화자료출처
277279부귀지역아동센터진안군전북 진안군 부귀면 부귀로 304-655416063-432-2032여성청소년과
278280성수지역아동센터진안군전북 진안군 성수면 관진로 76755459063-432-1316여성청소년과
279281예솔지역아동센터진안군전북 진안군 백운면 임진로 1306-1055453063-432-4520여성청소년과
280282정천지역아동센터진안군전북 진안군 정천면 상항길 45, 1층55409063-432-5663여성청소년과
281283주천지역아동센터진안군전북 진안군 주천면 동상주천로 222855402063-432-1317여성청소년과
282284진안꿈동산지역아동센터진안군전북 진안군 진안읍 성산2길 21-555433063-433-8950여성청소년과
283285진안마이용지역아동센터진안군전북 진안군 진안읍 대성길 7-1155435063-432-1318여성청소년과
284286진안사랑지역아동센터진안군전북 진안군 마령면 평지리 임진로 212355451063-432-9969여성청소년과
285287진안중앙지역아동센터진안군전북 진안군 진안읍 진무로 116655431063-433-1360여성청소년과
286288청소년꿈터지역아동센터진안군전북 진안군 진안읍 중연길 20-4755427063-432-0693여성청소년과