Overview

Dataset statistics

Number of variables11
Number of observations627
Missing cells304
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.8 KiB
Average record size in memory91.2 B

Variable types

Numeric3
Text4
Categorical4

Alerts

last_load_dttm has constant value ""Constant
s_gubun is highly overall correlated with s_codeHigh correlation
s_code is highly overall correlated with s_gubunHigh correlation
x is highly overall correlated with departHigh correlation
y is highly overall correlated with departHigh correlation
depart is highly overall correlated with x and 1 other fieldsHigh correlation
x has 152 (24.2%) missing valuesMissing
y has 152 (24.2%) missing valuesMissing
num has unique valuesUnique
mem has unique valuesUnique

Reproduction

Analysis started2024-04-17 02:22:26.224946
Analysis finished2024-04-17 02:22:27.790478
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

num
Real number (ℝ)

UNIQUE 

Distinct627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314
Minimum1
Maximum627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:27.843422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.3
Q1157.5
median314
Q3470.5
95-th percentile595.7
Maximum627
Range626
Interquartile range (IQR)313

Descriptive statistics

Standard deviation181.14359
Coefficient of variation (CV)0.57689041
Kurtosis-1.2
Mean314
Median Absolute Deviation (MAD)157
Skewness0
Sum196878
Variance32813
MonotonicityNot monotonic
2024-04-17T11:22:27.949415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
561 1
 
0.2%
173 1
 
0.2%
166 1
 
0.2%
167 1
 
0.2%
168 1
 
0.2%
169 1
 
0.2%
170 1
 
0.2%
171 1
 
0.2%
172 1
 
0.2%
174 1
 
0.2%
Other values (617) 617
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%

name
Text

Distinct616
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-04-17T11:22:28.130824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.8437002
Min length2

Characters and Unicode

Total characters5545
Distinct characters402
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique607 ?
Unique (%)96.8%

Sample

1st row토마토아동발달예술심리센터
2nd row토마토지역사회서비스센터
3rd row통증없는바른몸지압원
4th row튼싹아동발달센터
5th row펀펀짐
ValueCountFrequency (%)
심리상담센터 6
 
0.8%
다온 5
 
0.7%
평생교육원 4
 
0.5%
펀펀짐 4
 
0.5%
킴즈포레교육원 3
 
0.4%
산학협력단 3
 
0.4%
사단법인 3
 
0.4%
봄소리 3
 
0.4%
엔젤스맘 3
 
0.4%
안마지압원 3
 
0.4%
Other values (686) 715
95.1%
2024-04-17T11:22:28.422795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 266
 
4.8%
센 264
 
4.8%
리 161
 
2.9%
지 161
 
2.9%
원 138
 
2.5%
125
 
2.3%
아 113
 
2.0%
마 111
 
2.0%
심 110
 
2.0%
사 103
 
1.9%
Other values (392) 3993
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5298
95.5%
Space Separator 125
 
2.3%
Uppercase Letter 36
 
0.6%
Close Punctuation 29
 
0.5%
Open Punctuation 29
 
0.5%
Decimal Number 13
 
0.2%
Lowercase Letter 11
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 266
 
5.0%
센 264
 
5.0%
리 161
 
3.0%
지 161
 
3.0%
원 138
 
2.6%
아 113
 
2.1%
마 111
 
2.1%
심 110
 
2.1%
사 103
 
1.9%
동 92
 
1.7%
Other values (356) 3779
71.3%
Uppercase Letter
ValueCountFrequency (%)
I 5
13.9%
M 4
11.1%
S 4
11.1%
A 3
8.3%
C 3
8.3%
K 3
8.3%
P 2
 
5.6%
B 2
 
5.6%
T 2
 
5.6%
E 2
 
5.6%
Other values (5) 6
16.7%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
9 3
23.1%
3 1
 
7.7%
7 1
 
7.7%
5 1
 
7.7%
4 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
i 3
27.3%
h 2
18.2%
n 1
 
9.1%
d 1
 
9.1%
t 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
25.0%
: 1
25.0%
· 1
25.0%
/ 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 28
96.6%
] 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 28
96.6%
[ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5298
95.5%
Common 200
 
3.6%
Latin 47
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 266
 
5.0%
센 264
 
5.0%
리 161
 
3.0%
지 161
 
3.0%
원 138
 
2.6%
아 113
 
2.1%
마 111
 
2.1%
심 110
 
2.1%
사 103
 
1.9%
동 92
 
1.7%
Other values (356) 3779
71.3%
Latin
ValueCountFrequency (%)
I 5
 
10.6%
M 4
 
8.5%
S 4
 
8.5%
e 3
 
6.4%
A 3
 
6.4%
C 3
 
6.4%
i 3
 
6.4%
K 3
 
6.4%
h 2
 
4.3%
P 2
 
4.3%
Other values (11) 15
31.9%
Common
ValueCountFrequency (%)
125
62.5%
) 28
 
14.0%
( 28
 
14.0%
1 6
 
3.0%
9 3
 
1.5%
3 1
 
0.5%
& 1
 
0.5%
[ 1
 
0.5%
: 1
 
0.5%
] 1
 
0.5%
Other values (5) 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5298
95.5%
ASCII 246
 
4.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 266
 
5.0%
센 264
 
5.0%
리 161
 
3.0%
지 161
 
3.0%
원 138
 
2.6%
아 113
 
2.1%
마 111
 
2.1%
심 110
 
2.1%
사 103
 
1.9%
동 92
 
1.7%
Other values (356) 3779
71.3%
ASCII
ValueCountFrequency (%)
125
50.8%
) 28
 
11.4%
( 28
 
11.4%
1 6
 
2.4%
I 5
 
2.0%
M 4
 
1.6%
S 4
 
1.6%
9 3
 
1.2%
e 3
 
1.2%
A 3
 
1.2%
Other values (25) 37
 
15.0%
None
ValueCountFrequency (%)
· 1
100.0%

mem
Text

UNIQUE 

Distinct627
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-04-17T11:22:28.697237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3135
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique627 ?
Unique (%)100.0%

Sample

1st rowk1014
2nd rowk0891
3rd rowk0103
4th rowk0916
5th rowk0839
ValueCountFrequency (%)
k1014 1
 
0.2%
k0193 1
 
0.2%
k0954 1
 
0.2%
k0471 1
 
0.2%
k0066 1
 
0.2%
k0922 1
 
0.2%
k0192 1
 
0.2%
k0811 1
 
0.2%
k1073 1
 
0.2%
k0065 1
 
0.2%
Other values (617) 617
98.4%
2024-04-17T11:22:29.294199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 730
23.3%
k 627
20.0%
1 357
11.4%
7 197
 
6.3%
9 186
 
5.9%
2 182
 
5.8%
5 178
 
5.7%
8 174
 
5.6%
4 170
 
5.4%
6 169
 
5.4%
Other values (2) 165
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2507
80.0%
Lowercase Letter 628
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 730
29.1%
1 357
14.2%
7 197
 
7.9%
9 186
 
7.4%
2 182
 
7.3%
5 178
 
7.1%
8 174
 
6.9%
4 170
 
6.8%
6 169
 
6.7%
3 164
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
k 627
99.8%
o 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2507
80.0%
Latin 628
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 730
29.1%
1 357
14.2%
7 197
 
7.9%
9 186
 
7.4%
2 182
 
7.3%
5 178
 
7.1%
8 174
 
6.9%
4 170
 
6.8%
6 169
 
6.7%
3 164
 
6.5%
Latin
ValueCountFrequency (%)
k 627
99.8%
o 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 730
23.3%
k 627
20.0%
1 357
11.4%
7 197
 
6.3%
9 186
 
5.9%
2 182
 
5.8%
5 178
 
5.7%
8 174
 
5.6%
4 170
 
5.4%
6 169
 
5.4%
Other values (2) 165
 
5.3%

x
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct451
Distinct (%)94.9%
Missing152
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean129.06389
Minimum128.8425
Maximum129.2352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:29.411134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.8425
5-th percentile128.95707
Q1129.01676
median129.07422
Q3129.10587
95-th percentile129.17517
Maximum129.2352
Range0.39270548
Interquartile range (IQR)0.089106334

Descriptive statistics

Standard deviation0.06767249
Coefficient of variation (CV)0.00052433328
Kurtosis0.13509143
Mean129.06389
Median Absolute Deviation (MAD)0.040896845
Skewness-0.22132996
Sum61305.346
Variance0.004579566
MonotonicityNot monotonic
2024-04-17T11:22:29.527059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.92208896606314 3
 
0.5%
129.09108971251325 2
 
0.3%
128.95718633868145 2
 
0.3%
128.981788856844 2
 
0.3%
129.08127824526937 2
 
0.3%
128.969463737093 2
 
0.3%
129.10062174337517 2
 
0.3%
129.0762189938991 2
 
0.3%
129.007532959582 2
 
0.3%
129.093614415887 2
 
0.3%
Other values (441) 454
72.4%
(Missing) 152
 
24.2%
ValueCountFrequency (%)
128.842495700007 1
0.2%
128.87781291076843 1
0.2%
128.882372098998 1
0.2%
128.8973623855151 1
0.2%
128.9016895641785 1
0.2%
128.90298405919896 1
0.2%
128.90405175182016 2
0.3%
128.908565724208 1
0.2%
128.909237606778 1
0.2%
128.9178877245894 1
0.2%
ValueCountFrequency (%)
129.2352011778335 1
0.2%
129.222805630865 1
0.2%
129.218424384191 1
0.2%
129.2178933534697 1
0.2%
129.2169575291174 1
0.2%
129.21680184350737 1
0.2%
129.21627777733863 1
0.2%
129.21564245705255 1
0.2%
129.21528504388652 1
0.2%
129.214113798439 1
0.2%

y
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct451
Distinct (%)94.9%
Missing152
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean35.171548
Minimum35.048771
Maximum35.33581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:29.644852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.048771
5-th percentile35.091947
Q135.135483
median35.169487
Q335.203666
95-th percentile35.256948
Maximum35.33581
Range0.28703908
Interquartile range (IQR)0.068183208

Descriptive statistics

Standard deviation0.054912029
Coefficient of variation (CV)0.0015612628
Kurtosis0.37157939
Mean35.171548
Median Absolute Deviation (MAD)0.034010912
Skewness0.45523965
Sum16706.486
Variance0.0030153309
MonotonicityNot monotonic
2024-04-17T11:22:29.749492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.09751481338803 3
 
0.5%
35.22414806774931 2
 
0.3%
35.0997143828983 2
 
0.3%
35.1676936041364 2
 
0.3%
35.20547596521364 2
 
0.3%
35.1284516419749 2
 
0.3%
35.13697860996388 2
 
0.3%
35.181325409865714 2
 
0.3%
35.219687661211 2
 
0.3%
35.1224973584867 2
 
0.3%
Other values (441) 454
72.4%
(Missing) 152
 
24.2%
ValueCountFrequency (%)
35.0487712466506 1
0.2%
35.051021908881125 1
0.2%
35.05645947208821 1
0.2%
35.06177145514268 1
0.2%
35.06199868213317 1
0.2%
35.073083582942054 1
0.2%
35.07599639621529 1
0.2%
35.0772995308949 1
0.2%
35.07990528476568 2
0.3%
35.0799666865452 1
0.2%
ValueCountFrequency (%)
35.335810326089494 1
0.2%
35.335775777496536 1
0.2%
35.334493914407105 1
0.2%
35.32943691648715 1
0.2%
35.32655607038338 1
0.2%
35.3265546193691 1
0.2%
35.32635995230407 1
0.2%
35.325667061210574 1
0.2%
35.3224841048583 1
0.2%
35.32195584562486 1
0.2%

tel
Text

Distinct618
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-04-17T11:22:29.976737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.079745
Min length12

Characters and Unicode

Total characters7574
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

Unique611 ?
Unique (%)97.4%

Sample

1st row051-626-6268
2nd row051-976-9669
3rd row051-544-9675
4th row051-755-9103
5th row051-292-7655
ValueCountFrequency (%)
051-756-2820 3
 
0.5%
051-208-1110 3
 
0.5%
051-727-3712 2
 
0.3%
010-5663-2901 2
 
0.3%
051-513-9066 2
 
0.3%
051-711-0137 2
 
0.3%
051-515-7200 2
 
0.3%
051-996-5666 1
 
0.2%
051-342-8206 1
 
0.2%
051-919-3710 1
 
0.2%
Other values (608) 608
97.0%
2024-04-17T11:22:30.316438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1254
16.6%
0 1155
15.2%
5 1147
15.1%
1 1008
13.3%
7 554
7.3%
2 533
7.0%
3 477
 
6.3%
6 400
 
5.3%
8 381
 
5.0%
4 334
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6320
83.4%
Dash Punctuation 1254
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1155
18.3%
5 1147
18.1%
1 1008
15.9%
7 554
8.8%
2 533
8.4%
3 477
7.5%
6 400
 
6.3%
8 381
 
6.0%
4 334
 
5.3%
9 331
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 1254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1254
16.6%
0 1155
15.2%
5 1147
15.1%
1 1008
13.3%
7 554
7.3%
2 533
7.0%
3 477
 
6.3%
6 400
 
5.3%
8 381
 
5.0%
4 334
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1254
16.6%
0 1155
15.2%
5 1147
15.1%
1 1008
13.3%
7 554
7.3%
2 533
7.0%
3 477
 
6.3%
6 400
 
5.3%
8 381
 
5.0%
4 334
 
4.4%

addr
Text

Distinct624
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-04-17T11:22:30.597918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length32.454545
Min length16

Characters and Unicode

Total characters20349
Distinct characters375
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)99.0%

Sample

1st row부산광역시 남구 용호로197번길 58 2층 202호 (용호동 굿모닝빌딩) 토마토아동발달예술심리센터
2nd row부산광역시 수영구 과정로 67 4층 (망미동)
3rd row부산 해운대구 아랫반송로 13-1 주민센타 맞은편 2층
4th row부산광역시 연제구 토곡남로 11 상가동 201호 (연산동 연산부전타워)
5th row부산광역시 사하구 괴정로270번길 29 2동 지하1층 (괴정동 괴정동신동화아파트)
ValueCountFrequency (%)
부산광역시 596
 
14.9%
2층 99
 
2.5%
3층 78
 
1.9%
해운대구 77
 
1.9%
부산진구 58
 
1.4%
4층 56
 
1.4%
북구 56
 
1.4%
동래구 53
 
1.3%
연제구 49
 
1.2%
사하구 47
 
1.2%
Other values (1303) 2842
70.9%
2024-04-17T11:22:30.988164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4008
 
19.7%
동 776
 
3.8%
산 753
 
3.7%
부 730
 
3.6%
1 665
 
3.3%
시 648
 
3.2%
구 639
 
3.1%
광 633
 
3.1%
역 597
 
2.9%
로 572
 
2.8%
Other values (365) 10328
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11793
58.0%
Space Separator 4008
 
19.7%
Decimal Number 3348
 
16.5%
Open Punctuation 529
 
2.6%
Close Punctuation 527
 
2.6%
Dash Punctuation 102
 
0.5%
Uppercase Letter 29
 
0.1%
Control 7
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 776
 
6.6%
산 753
 
6.4%
부 730
 
6.2%
시 648
 
5.5%
구 639
 
5.4%
광 633
 
5.4%
역 597
 
5.1%
로 572
 
4.9%
층 350
 
3.0%
대 324
 
2.7%
Other values (333) 5771
48.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
20.7%
S 4
13.8%
A 4
13.8%
C 3
10.3%
T 3
10.3%
K 3
10.3%
I 2
 
6.9%
Y 1
 
3.4%
E 1
 
3.4%
P 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 665
19.9%
2 537
16.0%
3 425
12.7%
0 374
11.2%
4 356
10.6%
5 284
8.5%
6 192
 
5.7%
7 183
 
5.5%
8 167
 
5.0%
9 165
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 528
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 526
99.8%
] 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4008
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11793
58.0%
Common 8526
41.9%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 776
 
6.6%
산 753
 
6.4%
부 730
 
6.2%
시 648
 
5.5%
구 639
 
5.4%
광 633
 
5.4%
역 597
 
5.1%
로 572
 
4.9%
층 350
 
3.0%
대 324
 
2.7%
Other values (333) 5771
48.9%
Common
ValueCountFrequency (%)
4008
47.0%
1 665
 
7.8%
2 537
 
6.3%
( 528
 
6.2%
) 526
 
6.2%
3 425
 
5.0%
0 374
 
4.4%
4 356
 
4.2%
5 284
 
3.3%
6 192
 
2.3%
Other values (10) 631
 
7.4%
Latin
ValueCountFrequency (%)
B 6
20.0%
S 4
13.3%
A 4
13.3%
C 3
10.0%
T 3
10.0%
K 3
10.0%
I 2
 
6.7%
Y 1
 
3.3%
E 1
 
3.3%
P 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11793
58.0%
ASCII 8556
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4008
46.8%
1 665
 
7.8%
2 537
 
6.3%
( 528
 
6.2%
) 526
 
6.1%
3 425
 
5.0%
0 374
 
4.4%
4 356
 
4.2%
5 284
 
3.3%
6 192
 
2.2%
Other values (22) 661
 
7.7%
Hangul
ValueCountFrequency (%)
동 776
 
6.6%
산 753
 
6.4%
부 730
 
6.2%
시 648
 
5.5%
구 639
 
5.4%
광 633
 
5.4%
역 597
 
5.1%
로 572
 
4.9%
층 350
 
3.0%
대 324
 
2.7%
Other values (333) 5771
48.9%

depart
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
해운대구
77 
부산진구
57 
북구
55 
동래구
53 
연제구
49 
Other values (11)
336 

Length

Max length4
Median length3
Mean length2.9792663
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구
2nd row수영구
3rd row해운대구
4th row연제구
5th row사하구

Common Values

ValueCountFrequency (%)
해운대구 77
12.3%
부산진구 57
9.1%
북구 55
8.8%
동래구 53
8.5%
연제구 49
 
7.8%
사하구 47
 
7.5%
남구 45
 
7.2%
금정구 41
 
6.5%
수영구 40
 
6.4%
사상구 36
 
5.7%
Other values (6) 127
20.3%

Length

2024-04-17T11:22:31.143064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대구 77
12.3%
부산진구 57
9.1%
북구 55
8.8%
동래구 53
8.5%
연제구 49
 
7.8%
사하구 47
 
7.5%
남구 45
 
7.2%
금정구 41
 
6.5%
수영구 40
 
6.4%
사상구 36
 
5.7%
Other values (6) 127
20.3%

s_gubun
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
청소년아동,
369 
노인,
139 
성인가족,
55 
아동,
37 
<NA>
 
24

Length

Max length9
Median length6
Mean length5.0079745
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청소년아동,
2nd row청소년아동,
3rd row노인,
4th row청소년아동,
5th row아동,

Common Values

ValueCountFrequency (%)
청소년아동, 369
58.9%
노인, 139
 
22.2%
성인가족, 55
 
8.8%
아동, 37
 
5.9%
<NA> 24
 
3.8%
청소년아동장애인, 3
 
0.5%

Length

2024-04-17T11:22:31.281804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T11:22:31.400237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년아동 369
58.9%
노인 139
 
22.2%
성인가족 55
 
8.8%
아동 37
 
5.9%
na 24
 
3.8%
청소년아동장애인 3
 
0.5%

s_code
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
아동청소년심리치유서비스(우리아이가달라졌어요!)
324 
시각장애인 안마서비스
95 
산모신생아건강관리지원사업
47 
아동건강관리서비스
37 
노인건강관리서비스
 
27
Other values (12)
97 

Length

Max length26
Median length25
Mean length18.583732
Min length7

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st row아동청소년심리치유서비스(우리아이가달라졌어요!)
2nd row아동청소년심리치유서비스(우리아이가달라졌어요!)
3rd row시각장애인 안마서비스
4th row아동청소년심리치유서비스(우리아이가달라졌어요!)
5th row아동건강관리서비스

Common Values

ValueCountFrequency (%)
아동청소년심리치유서비스(우리아이가달라졌어요!) 324
51.7%
시각장애인 안마서비스 95
 
15.2%
산모신생아건강관리지원사업 47
 
7.5%
아동건강관리서비스 37
 
5.9%
노인건강관리서비스 27
 
4.3%
동화야 놀~자(스토리텔링) 25
 
4.0%
가사간병 방문 지원사업 22
 
3.5%
뇌에 기(氣)가 팍팍 16
 
2.6%
아동정서발달지원서비스 9
 
1.4%
해양역사문화체험 아카데미 9
 
1.4%
Other values (7) 16
 
2.6%

Length

2024-04-17T11:22:31.504289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동청소년심리치유서비스(우리아이가달라졌어요 324
36.9%
시각장애인 95
 
10.8%
안마서비스 95
 
10.8%
산모신생아건강관리지원사업 47
 
5.3%
아동건강관리서비스 37
 
4.2%
노인건강관리서비스 27
 
3.1%
동화야 25
 
2.8%
놀~자(스토리텔링 25
 
2.8%
지원사업 22
 
2.5%
방문 22
 
2.5%
Other values (29) 160
18.2%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2021-04-01 05:35:03
627 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-01 05:35:03
2nd row2021-04-01 05:35:03
3rd row2021-04-01 05:35:03
4th row2021-04-01 05:35:03
5th row2021-04-01 05:35:03

Common Values

ValueCountFrequency (%)
2021-04-01 05:35:03 627
100.0%

Length

2024-04-17T11:22:31.608893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T11:22:31.691403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-01 627
50.0%
05:35:03 627
50.0%

Interactions

2024-04-17T11:22:27.276567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:26.789888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:27.020662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:27.347345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:26.858618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:27.114683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:27.432120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:26.934295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:27.196867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T11:22:31.740796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
numxydeparts_gubuns_code
num1.0000.2460.0870.1840.2310.191
x0.2461.0000.6640.8960.1790.000
y0.0870.6641.0000.8890.1110.000
depart0.1840.8960.8891.0000.2120.102
s_gubun0.2310.1790.1110.2121.0001.000
s_code0.1910.0000.0000.1021.0001.000
2024-04-17T11:22:31.841152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
departs_gubuns_code
depart1.0000.1080.032
s_gubun0.1081.0000.992
s_code0.0320.9921.000
2024-04-17T11:22:31.933357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
numxydeparts_gubuns_code
num1.0000.025-0.0050.0720.0970.074
x0.0251.0000.4960.6350.0860.000
y-0.0050.4961.0000.6390.0630.000
depart0.0720.6350.6391.0000.1080.032
s_gubun0.0970.0860.0630.1081.0000.992
s_code0.0740.0000.0000.0320.9921.000

Missing values

2024-04-17T11:22:27.549346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T11:22:27.669198image/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.
2024-04-17T11:22:27.750721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

numnamememxyteladdrdeparts_gubuns_codelast_load_dttm
0561토마토아동발달예술심리센터k1014129.11427835.114623051-626-6268부산광역시 남구 용호로197번길 58 2층 202호 (용호동 굿모닝빌딩) 토마토아동발달예술심리센터남구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
1562토마토지역사회서비스센터k0891129.10705135.17735051-976-9669부산광역시 수영구 과정로 67 4층 (망미동)수영구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
2563통증없는바른몸지압원k0103129.14765735.225569051-544-9675부산 해운대구 아랫반송로 13-1 주민센타 맞은편 2층해운대구노인,시각장애인 안마서비스2021-04-01 05:35:03
3564튼싹아동발달센터k0916129.10580935.180908051-755-9103부산광역시 연제구 토곡남로 11 상가동 201호 (연산동 연산부전타워)연제구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
4565펀펀짐k0839<NA><NA>051-292-7655부산광역시 사하구 괴정로270번길 29 2동 지하1층 (괴정동 괴정동신동화아파트)사하구아동,아동건강관리서비스2021-04-01 05:35:03
5566펀펀짐k0973128.92310535.096702051-205-7655부산광역시 강서구 명지국제6로 238 (명지동 가온프라자 4층)강서구아동,아동건강관리서비스2021-04-01 05:35:03
6567펀펀짐k1087129.08660635.192966051-868-6115부산광역시 연제구 거제천로255번가길 31 지하1층 (거제동)연제구아동,아동건강관리서비스2021-04-01 05:35:03
7568펀펀짐 해운대점k1082129.12341335.208497051-532-9334부산광역시 해운대구 선수촌로 175 3층 (반여동)해운대구아동,아동건강관리서비스2021-04-01 05:35:03
8569포레뮤직(피아노연구소)k0737128.92208935.097515051-202-6808부산광역시 강서구 명지국제8로 270 8층 803호 (명지동 모아진빌딩)강서구청소년아동,동화야 놀~자(스토리텔링)2021-04-01 05:35:03
9570포레스트아동가족상담k0996129.06664535.19178051-501-0066부산광역시 연제구 여고로14번길 73-1 (거제동)연제구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
numnamememxyteladdrdeparts_gubuns_codelast_load_dttm
617618화정종합사회복지관k0030129.01538935.253642051-362-0111부산광역시 북구 효열로 76 (금곡동 화정종합사회복지관)북구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
618619효녀심청 사회서비스센터k0081<NA><NA>051-552-5557부산광역시 동래구 사직동 석사로 18번길 41 망고키즈수영장 2층 [효녀심청사회서비스센터]동래구노인,노인건강관리서비스2021-04-01 05:35:03
619620효사랑안마지압원k0698128.98534335.098723051-205-3331부산광역시 사하구 장평로449번길 26 1층 상가101호 (괴정동 천아하늘정원2차아파트)사하구노인,시각장애인 안마서비스2021-04-01 05:35:03
620621휴먼리더스k0978<NA><NA>051-610-0606부산광역시 남구 수영로 312 1202호 (대연동 21 센츄리시티 오피스텔)남구청소년아동,해양역사문화체험 아카데미2021-04-01 05:35:03
621622휴먼비전사회적협동조합k0594<NA><NA>051-904-9882부산광역시 해운대구 센텀동로 99 1503호 (재송동 벽산센텀이클래스원1차)해운대구청소년아동,해양역사문화체험 아카데미2021-04-01 05:35:03
622623희망그루터기사회서비스센터k0346129.08560735.238019051-516-1070부산 금정구 금강로335번길 16 장전동금정구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2021-04-01 05:35:03
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