Overview

Dataset statistics

Number of variables18
Number of observations5319
Missing cells20337
Missing cells (%)21.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory758.5 KiB
Average record size in memory146.0 B

Variable types

Numeric1
Text9
Categorical3
DateTime2
Boolean2
Unsupported1

Alerts

cp_email is highly overall correlated with cp_class and 2 other fieldsHigh correlation
cp_emailflag is highly overall correlated with cp_emailHigh correlation
cp_class is highly overall correlated with cp_emailHigh correlation
cp_webflag is highly overall correlated with cp_emailHigh correlation
cp_email is highly imbalanced (92.3%)Imbalance
cp_emailflag is highly imbalanced (63.5%)Imbalance
cp_home has 5146 (96.7%) missing valuesMissing
cp_sanum has 2844 (53.5%) missing valuesMissing
cp_info has 1693 (31.8%) missing valuesMissing
cp_state has 5319 (100.0%) missing valuesMissing
cp_img has 5307 (99.8%) missing valuesMissing
skey has unique valuesUnique
cp_state is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 13:24:22.590015
Analysis finished2024-04-16 13:24:25.008310
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct5319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3028070
Minimum3025411
Maximum3030729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.9 KiB
2024-04-16T22:24:25.093215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3025411
5-th percentile3025676.9
Q13026740.5
median3028070
Q33029399.5
95-th percentile3030463.1
Maximum3030729
Range5318
Interquartile range (IQR)2659

Descriptive statistics

Standard deviation1535.6074
Coefficient of variation (CV)0.00050712413
Kurtosis-1.2
Mean3028070
Median Absolute Deviation (MAD)1330
Skewness0
Sum1.6106304 × 1010
Variance2358090
MonotonicityNot monotonic
2024-04-16T22:24:25.236215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3030644 1
 
< 0.1%
3027171 1
 
< 0.1%
3027169 1
 
< 0.1%
3027168 1
 
< 0.1%
3027167 1
 
< 0.1%
3027166 1
 
< 0.1%
3027165 1
 
< 0.1%
3027164 1
 
< 0.1%
3027163 1
 
< 0.1%
3027162 1
 
< 0.1%
Other values (5309) 5309
99.8%
ValueCountFrequency (%)
3025411 1
< 0.1%
3025412 1
< 0.1%
3025413 1
< 0.1%
3025414 1
< 0.1%
3025415 1
< 0.1%
3025416 1
< 0.1%
3025417 1
< 0.1%
3025418 1
< 0.1%
3025419 1
< 0.1%
3025420 1
< 0.1%
ValueCountFrequency (%)
3030729 1
< 0.1%
3030728 1
< 0.1%
3030727 1
< 0.1%
3030726 1
< 0.1%
3030725 1
< 0.1%
3030724 1
< 0.1%
3030723 1
< 0.1%
3030722 1
< 0.1%
3030721 1
< 0.1%
3030720 1
< 0.1%

cp_compname
Text

Distinct5052
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
2024-04-16T22:24:25.529920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.6576424
Min length1

Characters and Unicode

Total characters35412
Distinct characters807
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4848 ?
Unique (%)91.1%

Sample

1st row행복한 그림동산 어린이집
2nd row고모손칼국수
3rd row은사랑어린이집
4th row사랑가득어린이집
5th row고운어린이집
ValueCountFrequency (%)
부산은행 284
 
4.3%
어린이집 184
 
2.8%
미용실 53
 
0.8%
부산 30
 
0.4%
주)파크랜드 24
 
0.4%
웰메이드 23
 
0.3%
아가방 17
 
0.3%
음악학원 15
 
0.2%
학원 14
 
0.2%
abc-mart 14
 
0.2%
Other values (5367) 6021
90.1%
2024-04-16T22:24:26.158591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1373
 
3.9%
이 1350
 
3.8%
어 1255
 
3.5%
원 1121
 
3.2%
집 1094
 
3.1%
린 946
 
2.7%
산 619
 
1.7%
점 579
 
1.6%
부 556
 
1.6%
의 533
 
1.5%
Other values (797) 25986
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33171
93.7%
Space Separator 1373
 
3.9%
Uppercase Letter 401
 
1.1%
Decimal Number 144
 
0.4%
Close Punctuation 101
 
0.3%
Open Punctuation 100
 
0.3%
Lowercase Letter 64
 
0.2%
Other Punctuation 28
 
0.1%
Dash Punctuation 26
 
0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1350
 
4.1%
어 1255
 
3.8%
원 1121
 
3.4%
집 1094
 
3.3%
린 946
 
2.9%
산 619
 
1.9%
점 579
 
1.7%
부 556
 
1.7%
의 533
 
1.6%
미 466
 
1.4%
Other values (732) 24652
74.3%
Uppercase Letter
ValueCountFrequency (%)
A 52
13.0%
B 41
10.2%
T 38
9.5%
M 36
9.0%
C 36
9.0%
S 29
 
7.2%
K 27
 
6.7%
G 22
 
5.5%
L 20
 
5.0%
R 19
 
4.7%
Other values (13) 81
20.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
15.6%
e 8
12.5%
i 6
9.4%
n 6
9.4%
t 5
 
7.8%
s 4
 
6.2%
y 3
 
4.7%
d 3
 
4.7%
c 3
 
4.7%
m 3
 
4.7%
Other values (8) 13
20.3%
Decimal Number
ValueCountFrequency (%)
2 44
30.6%
1 40
27.8%
0 17
 
11.8%
3 14
 
9.7%
5 8
 
5.6%
7 8
 
5.6%
8 6
 
4.2%
4 5
 
3.5%
6 1
 
0.7%
9 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 10
35.7%
. 8
28.6%
, 6
21.4%
· 2
 
7.1%
' 1
 
3.6%
! 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33166
93.7%
Common 1775
 
5.0%
Latin 465
 
1.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1350
 
4.1%
어 1255
 
3.8%
원 1121
 
3.4%
집 1094
 
3.3%
린 946
 
2.9%
산 619
 
1.9%
점 579
 
1.7%
부 556
 
1.7%
의 533
 
1.6%
미 466
 
1.4%
Other values (727) 24647
74.3%
Latin
ValueCountFrequency (%)
A 52
 
11.2%
B 41
 
8.8%
T 38
 
8.2%
M 36
 
7.7%
C 36
 
7.7%
S 29
 
6.2%
K 27
 
5.8%
G 22
 
4.7%
L 20
 
4.3%
R 19
 
4.1%
Other values (31) 145
31.2%
Common
ValueCountFrequency (%)
1373
77.4%
) 101
 
5.7%
( 100
 
5.6%
2 44
 
2.5%
1 40
 
2.3%
- 26
 
1.5%
0 17
 
1.0%
3 14
 
0.8%
& 10
 
0.6%
5 8
 
0.5%
Other values (13) 42
 
2.4%
Han
ValueCountFrequency (%)
美 1
16.7%
孝 1
16.7%
珍 1
16.7%
多 1
16.7%
秀 1
16.7%
裵 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33165
93.7%
ASCII 2238
 
6.3%
CJK 6
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1373
61.3%
) 101
 
4.5%
( 100
 
4.5%
A 52
 
2.3%
2 44
 
2.0%
B 41
 
1.8%
1 40
 
1.8%
T 38
 
1.7%
M 36
 
1.6%
C 36
 
1.6%
Other values (53) 377
 
16.8%
Hangul
ValueCountFrequency (%)
이 1350
 
4.1%
어 1255
 
3.8%
원 1121
 
3.4%
집 1094
 
3.3%
린 946
 
2.9%
산 619
 
1.9%
점 579
 
1.7%
부 556
 
1.7%
의 533
 
1.6%
미 466
 
1.4%
Other values (726) 24646
74.3%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
CJK
ValueCountFrequency (%)
美 1
16.7%
孝 1
16.7%
珍 1
16.7%
多 1
16.7%
秀 1
16.7%
裵 1
16.7%

cp_home
Text

MISSING 

Distinct92
Distinct (%)53.2%
Missing5146
Missing (%)96.7%
Memory size41.7 KiB
2024-04-16T22:24:26.411233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length17.462428
Min length1

Characters and Unicode

Total characters3021
Distinct characters53
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

Unique82 ?
Unique (%)47.4%

Sample

1st rowwww.parkland.co.kr
2nd rowwww.parkland.co.kr
3rd rowwww.parkland.co.kr
4th rowwww.parkland.co.kr
5th rowwww.parkland.co.kr
ValueCountFrequency (%)
www.parkland.co.kr 44
25.4%
www.vilac.co.kr 20
 
11.6%
14
 
8.1%
www.inoti.co.kr 4
 
2.3%
www.wilshirekorea.co.kr 3
 
1.7%
www.balancebrain.co.kr 2
 
1.2%
http://www.pulipchae.com 2
 
1.2%
www.kjc21.com 2
 
1.2%
http://place.map.daum.net/7923265 1
 
0.6%
http://www.uwellness.co.kr 1
 
0.6%
Other values (80) 80
46.2%
2024-04-16T22:24:26.793674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 420
13.9%
w 382
12.6%
a 214
 
7.1%
r 209
 
6.9%
o 199
 
6.6%
c 183
 
6.1%
k 179
 
5.9%
n 134
 
4.4%
l 101
 
3.3%
i 84
 
2.8%
Other values (43) 916
30.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2352
77.9%
Other Punctuation 478
 
15.8%
Decimal Number 126
 
4.2%
Dash Punctuation 34
 
1.1%
Space Separator 17
 
0.6%
Other Letter 10
 
0.3%
Connector Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 382
16.2%
a 214
 
9.1%
r 209
 
8.9%
o 199
 
8.5%
c 183
 
7.8%
k 179
 
7.6%
n 134
 
5.7%
l 101
 
4.3%
i 84
 
3.6%
p 81
 
3.4%
Other values (15) 586
24.9%
Decimal Number
ValueCountFrequency (%)
0 26
20.6%
2 21
16.7%
1 19
15.1%
3 11
8.7%
5 10
 
7.9%
9 10
 
7.9%
8 9
 
7.1%
6 8
 
6.3%
7 8
 
6.3%
4 4
 
3.2%
Other Letter
ValueCountFrequency (%)
인 1
10.0%
레 1
10.0%
기 1
10.0%
전 1
10.0%
염 1
10.0%
증 1
10.0%
농 1
10.0%
축 1
10.0%
비 1
10.0%
지 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 420
87.9%
/ 51
 
10.7%
: 6
 
1.3%
? 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2352
77.9%
Common 659
 
21.8%
Hangul 10
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 382
16.2%
a 214
 
9.1%
r 209
 
8.9%
o 199
 
8.5%
c 183
 
7.8%
k 179
 
7.6%
n 134
 
5.7%
l 101
 
4.3%
i 84
 
3.6%
p 81
 
3.4%
Other values (15) 586
24.9%
Common
ValueCountFrequency (%)
. 420
63.7%
/ 51
 
7.7%
- 34
 
5.2%
0 26
 
3.9%
2 21
 
3.2%
1 19
 
2.9%
17
 
2.6%
3 11
 
1.7%
5 10
 
1.5%
9 10
 
1.5%
Other values (8) 40
 
6.1%
Hangul
ValueCountFrequency (%)
인 1
10.0%
레 1
10.0%
기 1
10.0%
전 1
10.0%
염 1
10.0%
증 1
10.0%
농 1
10.0%
축 1
10.0%
비 1
10.0%
지 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3011
99.7%
Hangul 10
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 420
13.9%
w 382
12.7%
a 214
 
7.1%
r 209
 
6.9%
o 199
 
6.6%
c 183
 
6.1%
k 179
 
5.9%
n 134
 
4.5%
l 101
 
3.4%
i 84
 
2.8%
Other values (33) 906
30.1%
Hangul
ValueCountFrequency (%)
인 1
10.0%
레 1
10.0%
기 1
10.0%
전 1
10.0%
염 1
10.0%
증 1
10.0%
농 1
10.0%
축 1
10.0%
비 1
10.0%
지 1
10.0%

cp_class
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
요식업등
1167 
어린이집
915 
학원
656 
이미용업
543 
병의원
401 
Other values (12)
1637 

Length

Max length7
Median length4
Mean length3.4805415
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row어린이집
2nd row요식업등
3rd row어린이집
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
요식업등 1167
21.9%
어린이집 915
17.2%
학원 656
12.3%
이미용업 543
10.2%
병의원 401
 
7.5%
체육시설 330
 
6.2%
금융기관 288
 
5.4%
기타 279
 
5.2%
한의원 219
 
4.1%
안경 116
 
2.2%
Other values (7) 405
 
7.6%

Length

2024-04-16T22:24:26.913275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
요식업등 1167
21.7%
어린이집 915
17.0%
학원 656
12.2%
이미용업 543
10.1%
병의원 401
 
7.5%
체육시설 330
 
6.1%
금융기관 288
 
5.4%
기타 279
 
5.2%
한의원 219
 
4.1%
안경 116
 
2.2%
Other values (8) 461
 
8.6%

cp_hgu
Categorical

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
연제구
624 
동래구
527 
남구
513 
부산진구
511 
사하구
428 
Other values (13)
2716 

Length

Max length4
Median length3
Mean length2.9435984
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금정구
2nd row해운대구
3rd row해운대구
4th row수영구
5th row수영구

Common Values

ValueCountFrequency (%)
연제구 624
11.7%
동래구 527
9.9%
남구 513
9.6%
부산진구 511
9.6%
사하구 428
8.0%
수영구 421
7.9%
북구 405
7.6%
해운대구 378
7.1%
사상구 324
 
6.1%
금정구 285
 
5.4%
Other values (8) 903
17.0%

Length

2024-04-16T22:24:27.019453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연제구 624
11.7%
동래구 527
9.9%
남구 513
9.6%
부산진구 511
9.6%
사하구 428
8.0%
수영구 421
7.9%
북구 405
7.6%
해운대구 378
7.1%
사상구 324
 
6.1%
금정구 285
 
5.4%
Other values (8) 903
17.0%

cp_ceoname
Text

Distinct4276
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
2024-04-16T22:24:27.325898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.0094003
Min length1

Characters and Unicode

Total characters16007
Distinct characters378
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3795 ?
Unique (%)71.3%

Sample

1st row성순임
2nd row김점순
3rd row박정혜
4th row배영선
5th row김은정
ValueCountFrequency (%)
이장호 236
 
4.4%
곽국민 44
 
0.8%
빈대인 31
 
0.6%
박순호 26
 
0.5%
박경수 22
 
0.4%
아가방 15
 
0.3%
김지완 10
 
0.2%
홈플러스 9
 
0.2%
김미숙 8
 
0.1%
김영숙 8
 
0.1%
Other values (4279) 4928
92.3%
2024-04-16T22:24:27.739568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1041
 
6.5%
이 938
 
5.9%
정 672
 
4.2%
박 468
 
2.9%
영 466
 
2.9%
호 423
 
2.6%
희 347
 
2.2%
장 347
 
2.2%
순 334
 
2.1%
경 331
 
2.1%
Other values (368) 10640
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15972
99.8%
Space Separator 18
 
0.1%
Decimal Number 10
 
0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1041
 
6.5%
이 938
 
5.9%
정 672
 
4.2%
박 468
 
2.9%
영 466
 
2.9%
호 423
 
2.6%
희 347
 
2.2%
장 347
 
2.2%
순 334
 
2.1%
경 331
 
2.1%
Other values (359) 10605
66.4%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 2
 
20.0%
3 2
 
20.0%
0 1
 
10.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15972
99.8%
Common 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1041
 
6.5%
이 938
 
5.9%
정 672
 
4.2%
박 468
 
2.9%
영 466
 
2.9%
호 423
 
2.6%
희 347
 
2.2%
장 347
 
2.2%
순 334
 
2.1%
경 331
 
2.1%
Other values (359) 10605
66.4%
Common
ValueCountFrequency (%)
18
51.4%
1 5
 
14.3%
) 2
 
5.7%
· 2
 
5.7%
( 2
 
5.7%
2 2
 
5.7%
3 2
 
5.7%
0 1
 
2.9%
- 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15972
99.8%
ASCII 33
 
0.2%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1041
 
6.5%
이 938
 
5.9%
정 672
 
4.2%
박 468
 
2.9%
영 466
 
2.9%
호 423
 
2.6%
희 347
 
2.2%
장 347
 
2.2%
순 334
 
2.1%
경 331
 
2.1%
Other values (359) 10605
66.4%
ASCII
ValueCountFrequency (%)
18
54.5%
1 5
 
15.2%
) 2
 
6.1%
( 2
 
6.1%
2 2
 
6.1%
3 2
 
6.1%
0 1
 
3.0%
- 1
 
3.0%
None
ValueCountFrequency (%)
· 2
100.0%

cp_sanum
Text

MISSING 

Distinct52
Distinct (%)2.1%
Missing2844
Missing (%)53.5%
Memory size41.7 KiB
2024-04-16T22:24:27.931139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length1
Mean length1.2076768
Min length1

Characters and Unicode

Total characters2989
Distinct characters13
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

Unique50 ?
Unique (%)2.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 2423
97.9%
6068269370 2
 
0.1%
617-92-32625 1
 
< 0.1%
848-08-00198 1
 
< 0.1%
6052720701 1
 
< 0.1%
190-46-00373 1
 
< 0.1%
463-02-01295 1
 
< 0.1%
6052686822 1
 
< 0.1%
227-54-00141 1
 
< 0.1%
481-81-00168 1
 
< 0.1%
Other values (42) 42
 
1.7%
2024-04-16T22:24:28.247416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2509
83.9%
6 69
 
2.3%
1 57
 
1.9%
9 53
 
1.8%
2 52
 
1.7%
- 52
 
1.7%
8 44
 
1.5%
5 40
 
1.3%
7 38
 
1.3%
3 37
 
1.2%
Other values (3) 38
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2935
98.2%
Dash Punctuation 52
 
1.7%
Other Letter 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2509
85.5%
6 69
 
2.4%
1 57
 
1.9%
9 53
 
1.8%
2 52
 
1.8%
8 44
 
1.5%
5 40
 
1.4%
7 38
 
1.3%
3 37
 
1.3%
4 36
 
1.2%
Other Letter
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2987
99.9%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2509
84.0%
6 69
 
2.3%
1 57
 
1.9%
9 53
 
1.8%
2 52
 
1.7%
- 52
 
1.7%
8 44
 
1.5%
5 40
 
1.3%
7 38
 
1.3%
3 37
 
1.2%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2987
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2509
84.0%
6 69
 
2.3%
1 57
 
1.9%
9 53
 
1.8%
2 52
 
1.7%
- 52
 
1.7%
8 44
 
1.5%
5 40
 
1.3%
7 38
 
1.3%
3 37
 
1.2%
Hangul
ValueCountFrequency (%)
폐 1
50.0%
업 1
50.0%

cp_sidate
Date

Distinct310
Distinct (%)5.8%
Missing6
Missing (%)0.1%
Memory size41.7 KiB
Minimum2000-01-01 00:00:00
Maximum2020-11-25 00:00:00
2024-04-16T22:24:28.365996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T22:24:28.476024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

cp_addr
Text

Distinct5158
Distinct (%)97.4%
Missing22
Missing (%)0.4%
Memory size41.7 KiB
2024-04-16T22:24:28.794580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length53
Mean length24.589201
Min length3

Characters and Unicode

Total characters130249
Distinct characters512
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5061 ?
Unique (%)95.5%

Sample

1st row부산광역시 금정구 금사로29번길 57 (서동)
2nd row부산광역시 해운대구 우동1로20번가길 54 (우동)
3rd row부산광역시 해운대구 재송2로90번길 33 (재송동)
4th row부산광역시 수영구 민락로33번길 4 (민락동)
5th row부산광역시 수영구 광남로83번길 26-3 (광안동)
ValueCountFrequency (%)
부산광역시 5306
 
20.0%
연제구 642
 
2.4%
동래구 553
 
2.1%
남구 523
 
2.0%
부산진구 522
 
2.0%
사하구 437
 
1.6%
수영구 432
 
1.6%
북구 416
 
1.6%
해운대구 391
 
1.5%
사상구 332
 
1.2%
Other values (5866) 17036
64.1%
2024-04-16T22:24:29.301797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21763
 
16.7%
산 6537
 
5.0%
부 6160
 
4.7%
동 6149
 
4.7%
1 6065
 
4.7%
시 5620
 
4.3%
광 5527
 
4.2%
구 5485
 
4.2%
역 5329
 
4.1%
2 3684
 
2.8%
Other values (502) 57930
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79238
60.8%
Decimal Number 25207
 
19.4%
Space Separator 21763
 
16.7%
Dash Punctuation 2611
 
2.0%
Open Punctuation 467
 
0.4%
Close Punctuation 466
 
0.4%
Other Punctuation 263
 
0.2%
Uppercase Letter 211
 
0.2%
Lowercase Letter 15
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 6537
 
8.2%
부 6160
 
7.8%
동 6149
 
7.8%
시 5620
 
7.1%
광 5527
 
7.0%
구 5485
 
6.9%
역 5329
 
6.7%
로 3333
 
4.2%
대 1639
 
2.1%
번 1506
 
1.9%
Other values (456) 31953
40.3%
Uppercase Letter
ValueCountFrequency (%)
A 35
16.6%
T 26
12.3%
G 21
10.0%
P 20
9.5%
L 18
8.5%
S 16
7.6%
B 16
7.6%
K 14
 
6.6%
F 10
 
4.7%
C 8
 
3.8%
Other values (7) 27
12.8%
Decimal Number
ValueCountFrequency (%)
1 6065
24.1%
2 3684
14.6%
3 2912
11.6%
4 2226
 
8.8%
0 2143
 
8.5%
5 1935
 
7.7%
6 1655
 
6.6%
8 1608
 
6.4%
7 1595
 
6.3%
9 1384
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
a 3
20.0%
s 2
13.3%
k 2
13.3%
l 2
13.3%
g 2
13.3%
i 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 126
47.9%
@ 89
33.8%
. 27
 
10.3%
/ 18
 
6.8%
? 2
 
0.8%
& 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
+ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
21763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2611
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 466
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79236
60.8%
Common 50785
39.0%
Latin 226
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 6537
 
8.3%
부 6160
 
7.8%
동 6149
 
7.8%
시 5620
 
7.1%
광 5527
 
7.0%
구 5485
 
6.9%
역 5329
 
6.7%
로 3333
 
4.2%
대 1639
 
2.1%
번 1506
 
1.9%
Other values (454) 31951
40.3%
Latin
ValueCountFrequency (%)
A 35
15.5%
T 26
11.5%
G 21
9.3%
P 20
8.8%
L 18
8.0%
S 16
 
7.1%
B 16
 
7.1%
K 14
 
6.2%
F 10
 
4.4%
C 8
 
3.5%
Other values (14) 42
18.6%
Common
ValueCountFrequency (%)
21763
42.9%
1 6065
 
11.9%
2 3684
 
7.3%
3 2912
 
5.7%
- 2611
 
5.1%
4 2226
 
4.4%
0 2143
 
4.2%
5 1935
 
3.8%
6 1655
 
3.3%
8 1608
 
3.2%
Other values (12) 4183
 
8.2%
Han
ValueCountFrequency (%)
內 1
50.0%
箚 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79232
60.8%
ASCII 51011
39.2%
Compat Jamo 4
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21763
42.7%
1 6065
 
11.9%
2 3684
 
7.2%
3 2912
 
5.7%
- 2611
 
5.1%
4 2226
 
4.4%
0 2143
 
4.2%
5 1935
 
3.8%
6 1655
 
3.2%
8 1608
 
3.2%
Other values (36) 4409
 
8.6%
Hangul
ValueCountFrequency (%)
산 6537
 
8.3%
부 6160
 
7.8%
동 6149
 
7.8%
시 5620
 
7.1%
광 5527
 
7.0%
구 5485
 
6.9%
역 5329
 
6.7%
로 3333
 
4.2%
대 1639
 
2.1%
번 1506
 
1.9%
Other values (452) 31947
40.3%
Compat Jamo
ValueCountFrequency (%)
ㄴ 3
75.0%
ㅁ 1
 
25.0%
CJK
ValueCountFrequency (%)
內 1
50.0%
箚 1
50.0%

cp_tel
Text

Distinct5114
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
2024-04-16T22:24:29.520278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.031397
Min length11

Characters and Unicode

Total characters63995
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4934 ?
Unique (%)92.8%

Sample

1st row051-522-4071
2nd row051-749-5604
3rd row051-781-1123
4th row051-761-0200
5th row051-756-0146
ValueCountFrequency (%)
051-000-0000 15
 
0.3%
051-810-3941 6
 
0.1%
051 4
 
0.1%
051-506-2771 4
 
0.1%
051-523-7730 3
 
0.1%
051-000-000 3
 
0.1%
051-754-9797 3
 
0.1%
051-0000-0000 3
 
0.1%
051-851-8845 3
 
0.1%
051-781-1123 3
 
0.1%
Other values (5105) 5275
99.1%
2024-04-16T22:24:29.844074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10642
16.6%
5 9936
15.5%
0 9413
14.7%
1 8748
13.7%
2 4518
7.1%
3 4106
 
6.4%
6 3793
 
5.9%
7 3689
 
5.8%
8 3547
 
5.5%
4 3150
 
4.9%
Other values (8) 2453
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53323
83.3%
Dash Punctuation 10642
 
16.6%
Other Punctuation 22
 
< 0.1%
Other Letter 4
 
< 0.1%
Space Separator 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9936
18.6%
0 9413
17.7%
1 8748
16.4%
2 4518
8.5%
3 4106
7.7%
6 3793
 
7.1%
7 3689
 
6.9%
8 3547
 
6.7%
4 3150
 
5.9%
9 2423
 
4.5%
Other Letter
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
전 1
25.0%
화 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 10642
100.0%
Other Punctuation
ValueCountFrequency (%)
* 22
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63991
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10642
16.6%
5 9936
15.5%
0 9413
14.7%
1 8748
13.7%
2 4518
7.1%
3 4106
 
6.4%
6 3793
 
5.9%
7 3689
 
5.8%
8 3547
 
5.5%
4 3150
 
4.9%
Other values (4) 2449
 
3.8%
Hangul
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
전 1
25.0%
화 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63991
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10642
16.6%
5 9936
15.5%
0 9413
14.7%
1 8748
13.7%
2 4518
7.1%
3 4106
 
6.4%
6 3793
 
5.9%
7 3689
 
5.8%
8 3547
 
5.5%
4 3150
 
4.9%
Other values (4) 2449
 
3.8%
Hangul
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
전 1
25.0%
화 1
25.0%

cp_email
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
<NA>
5021 
 
274
hush0892@gmail.com
 
2
bgjahwal@hanmail.net
 
2
artakk@hanmail.net
 
1
Other values (19)
 
19

Length

Max length24
Median length4
Mean length3.9095695
Min length1

Unique

Unique20 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5021
94.4%
274
 
5.2%
hush0892@gmail.com 2
 
< 0.1%
bgjahwal@hanmail.net 2
 
< 0.1%
artakk@hanmail.net 1
 
< 0.1%
baromain1@naver.com 1
 
< 0.1%
megong@daum.net 1
 
< 0.1%
wjdrlwh77@oanmail.net 1
 
< 0.1%
kmc623@gmail.com 1
 
< 0.1%
kjhy96@hanmail.net 1
 
< 0.1%
Other values (14) 14
 
0.3%

Length

2024-04-16T22:24:29.969511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5021
99.5%
bgjahwal@hanmail.net 2
 
< 0.1%
hush0892@gmail.com 2
 
< 0.1%
korea@mgchina.co.kr 1
 
< 0.1%
sudenn1@hanmail.net 1
 
< 0.1%
allright2875@naver.com 1
 
< 0.1%
waterbag@naver.com 1
 
< 0.1%
trunk0@daum.net 1
 
< 0.1%
lovekang99@nate.com 1
 
< 0.1%
jysschool@dreamwiz.com 1
 
< 0.1%
Other values (13) 13
 
0.3%

cp_emailflag
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
True
4948 
False
 
371
ValueCountFrequency (%)
True 4948
93.0%
False 371
 
7.0%
2024-04-16T22:24:30.047767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

cp_info
Text

MISSING 

Distinct153
Distinct (%)4.2%
Missing1693
Missing (%)31.8%
Memory size41.7 KiB
2024-04-16T22:24:30.186771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length766
Median length1
Mean length17.806122
Min length1

Characters and Unicode

Total characters64565
Distinct characters592
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)3.5%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
체육관 1090
11.9%
style="margin-left 1003
 
11.0%
40px 658
 
7.2%
p 548
 
6.0%
중 546
 
6.0%
다자녀가정 546
 
6.0%
소속 545
 
6.0%
희망 545
 
6.0%
우대 545
 
6.0%
참여p 479
 
5.2%
Other values (1354) 2629
28.8%
2024-04-16T22:24:30.514696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12833
 
19.9%
T 2565
 
4.0%
P 2095
 
3.2%
" 2094
 
3.2%
E 2077
 
3.2%
L 2063
 
3.2%
G 1493
 
2.3%
0 1130
 
1.8%
육 1116
 
1.7%
체 1111
 
1.7%
Other values (582) 35988
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22127
34.3%
Uppercase Letter 19930
30.9%
Space Separator 12833
19.9%
Other Punctuation 4114
 
6.4%
Decimal Number 2409
 
3.7%
Math Symbol 1972
 
3.1%
Dash Punctuation 1061
 
1.6%
Open Punctuation 48
 
0.1%
Close Punctuation 47
 
0.1%
Modifier Symbol 18
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 1116
 
5.0%
체 1111
 
5.0%
관 1108
 
5.0%
다 674
 
3.0%
가 621
 
2.8%
부 603
 
2.7%
시 598
 
2.7%
자 595
 
2.7%
정 593
 
2.7%
대 590
 
2.7%
Other values (523) 14518
65.6%
Uppercase Letter
ValueCountFrequency (%)
T 2565
12.9%
P 2095
10.5%
E 2077
10.4%
L 2063
10.4%
G 1493
 
7.5%
S 1089
 
5.5%
N 1068
 
5.4%
A 1066
 
5.3%
I 1051
 
5.3%
R 1047
 
5.3%
Other values (14) 4316
21.7%
Other Punctuation
ValueCountFrequency (%)
" 2094
50.9%
: 1045
25.4%
; 600
 
14.6%
. 170
 
4.1%
, 119
 
2.9%
/ 42
 
1.0%
% 22
 
0.5%
! 11
 
0.3%
# 6
 
0.1%
* 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 1130
46.9%
4 1028
42.7%
1 66
 
2.7%
2 48
 
2.0%
5 37
 
1.5%
3 35
 
1.5%
9 21
 
0.9%
8 20
 
0.8%
6 14
 
0.6%
7 10
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 1047
53.1%
> 655
33.2%
< 261
 
13.2%
~ 7
 
0.4%
× 1
 
0.1%
→ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12833
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1061
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 18
100.0%
Format
ValueCountFrequency (%)
 4
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22508
34.9%
Hangul 22127
34.3%
Latin 19930
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 1116
 
5.0%
체 1111
 
5.0%
관 1108
 
5.0%
다 674
 
3.0%
가 621
 
2.8%
부 603
 
2.7%
시 598
 
2.7%
자 595
 
2.7%
정 593
 
2.7%
대 590
 
2.7%
Other values (523) 14518
65.6%
Common
ValueCountFrequency (%)
12833
57.0%
" 2094
 
9.3%
0 1130
 
5.0%
- 1061
 
4.7%
= 1047
 
4.7%
: 1045
 
4.6%
4 1028
 
4.6%
> 655
 
2.9%
; 600
 
2.7%
< 261
 
1.2%
Other values (25) 754
 
3.3%
Latin
ValueCountFrequency (%)
T 2565
12.9%
P 2095
10.5%
E 2077
10.4%
L 2063
10.4%
G 1493
 
7.5%
S 1089
 
5.5%
N 1068
 
5.4%
A 1066
 
5.3%
I 1051
 
5.3%
R 1047
 
5.3%
Other values (14) 4316
21.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42428
65.7%
Hangul 22113
34.2%
Compat Jamo 14
 
< 0.1%
None 6
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12833
30.2%
T 2565
 
6.0%
P 2095
 
4.9%
" 2094
 
4.9%
E 2077
 
4.9%
L 2063
 
4.9%
G 1493
 
3.5%
0 1130
 
2.7%
S 1089
 
2.6%
N 1068
 
2.5%
Other values (43) 13921
32.8%
Hangul
ValueCountFrequency (%)
육 1116
 
5.0%
체 1111
 
5.0%
관 1108
 
5.0%
다 674
 
3.0%
가 621
 
2.8%
부 603
 
2.7%
시 598
 
2.7%
자 595
 
2.7%
정 593
 
2.7%
대 590
 
2.7%
Other values (522) 14504
65.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 14
100.0%
None
ValueCountFrequency (%)
 4
66.7%
² 1
 
16.7%
× 1
 
16.7%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

cp_woo
Text

Distinct2368
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
2024-04-16T22:24:30.746396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length779
Mean length31.12634
Min length1

Characters and Unicode

Total characters165561
Distinct characters595
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2020 ?
Unique (%)38.0%

Sample

1st row입학금 면제(세째 자녀 이상)<BR>
2nd row5~10% 할인<BR>
3rd row입학금, 차량비면제<BR>
4th row<U></U>입학금 20% 면제<BR>
5th row입학금 면제<BR>
ValueCountFrequency (%)
할인 1946
 
6.8%
10 1391
 
4.9%
입학금 855
 
3.0%
nbsp 828
 
2.9%
652
 
2.3%
p 642
 
2.2%
면제 612
 
2.1%
20 569
 
2.0%
5 540
 
1.9%
수련비 531
 
1.9%
Other values (3088) 19968
70.0%
2024-04-16T22:24:31.127502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24112
 
14.6%
0 6713
 
4.1%
인 5689
 
3.4%
할 4691
 
2.8%
% 4657
 
2.8%
1 4146
 
2.5%
P 3822
 
2.3%
> 3666
 
2.2%
B 3471
 
2.1%
< 3403
 
2.1%
Other values (585) 101191
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66920
40.4%
Uppercase Letter 29395
17.8%
Space Separator 24112
 
14.6%
Decimal Number 15616
 
9.4%
Other Punctuation 15032
 
9.1%
Math Symbol 8564
 
5.2%
Close Punctuation 2202
 
1.3%
Open Punctuation 2198
 
1.3%
Dash Punctuation 1499
 
0.9%
Format 13
 
< 0.1%
Other values (4) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5689
 
8.5%
할 4691
 
7.0%
가 2414
 
3.6%
금 2142
 
3.2%
비 2039
 
3.0%
제 1950
 
2.9%
료 1758
 
2.6%
자 1618
 
2.4%
수 1540
 
2.3%
녀 1503
 
2.2%
Other values (515) 41576
62.1%
Uppercase Letter
ValueCountFrequency (%)
P 3822
13.0%
B 3471
11.8%
R 3158
10.7%
T 2459
 
8.4%
S 2317
 
7.9%
N 2303
 
7.8%
E 1752
 
6.0%
L 1560
 
5.3%
G 1125
 
3.8%
O 1046
 
3.6%
Other values (15) 6382
21.7%
Other Punctuation
ValueCountFrequency (%)
% 4657
31.0%
, 2390
15.9%
" 2102
14.0%
; 1890
12.6%
. 1322
 
8.8%
/ 856
 
5.7%
: 852
 
5.7%
※ 542
 
3.6%
· 176
 
1.2%
# 127
 
0.8%
Other values (4) 118
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 6713
43.0%
1 4146
26.5%
2 1669
 
10.7%
5 1372
 
8.8%
4 711
 
4.6%
3 543
 
3.5%
8 263
 
1.7%
6 88
 
0.6%
7 61
 
0.4%
9 50
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 3666
42.8%
< 3403
39.7%
= 1053
 
12.3%
~ 429
 
5.0%
+ 7
 
0.1%
∼ 3
 
< 0.1%
▷ 3
 
< 0.1%
Other Number
ValueCountFrequency (%)
② 2
40.0%
① 2
40.0%
③ 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2201
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2197
> 99.9%
[ 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
` 1
33.3%
Space Separator
ValueCountFrequency (%)
24112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1499
100.0%
Format
ValueCountFrequency (%)
 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69246
41.8%
Hangul 66916
40.4%
Latin 29395
17.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5689
 
8.5%
할 4691
 
7.0%
가 2414
 
3.6%
금 2142
 
3.2%
비 2039
 
3.0%
제 1950
 
2.9%
료 1758
 
2.6%
자 1618
 
2.4%
수 1540
 
2.3%
녀 1503
 
2.2%
Other values (511) 41572
62.1%
Common
ValueCountFrequency (%)
24112
34.8%
0 6713
 
9.7%
% 4657
 
6.7%
1 4146
 
6.0%
> 3666
 
5.3%
< 3403
 
4.9%
, 2390
 
3.5%
) 2201
 
3.2%
( 2197
 
3.2%
" 2102
 
3.0%
Other values (35) 13659
19.7%
Latin
ValueCountFrequency (%)
P 3822
13.0%
B 3471
11.8%
R 3158
10.7%
T 2459
 
8.4%
S 2317
 
7.9%
N 2303
 
7.8%
E 1752
 
6.0%
L 1560
 
5.3%
G 1125
 
3.8%
O 1046
 
3.6%
Other values (15) 6382
21.7%
Han
ValueCountFrequency (%)
大 1
25.0%
無 1
25.0%
乍 1
25.0%
必 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97898
59.1%
Hangul 66905
40.4%
Punctuation 542
 
0.3%
None 189
 
0.1%
Compat Jamo 11
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
CJK 4
 
< 0.1%
Math Operators 3
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24112
24.6%
0 6713
 
6.9%
% 4657
 
4.8%
1 4146
 
4.2%
P 3822
 
3.9%
> 3666
 
3.7%
B 3471
 
3.5%
< 3403
 
3.5%
R 3158
 
3.2%
T 2459
 
2.5%
Other values (51) 38291
39.1%
Hangul
ValueCountFrequency (%)
인 5689
 
8.5%
할 4691
 
7.0%
가 2414
 
3.6%
금 2142
 
3.2%
비 2039
 
3.0%
제 1950
 
2.9%
료 1758
 
2.6%
자 1618
 
2.4%
수 1540
 
2.3%
녀 1503
 
2.2%
Other values (510) 41561
62.1%
Punctuation
ValueCountFrequency (%)
※ 542
100.0%
None
ValueCountFrequency (%)
· 176
93.1%
 13
 
6.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 11
100.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Geometric Shapes
ValueCountFrequency (%)
▷ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
40.0%
① 2
40.0%
③ 1
20.0%
CJK
ValueCountFrequency (%)
大 1
25.0%
無 1
25.0%
乍 1
25.0%
必 1
25.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

cp_state
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5319
Missing (%)100.0%
Memory size46.9 KiB

cp_img
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing5307
Missing (%)99.8%
Memory size41.7 KiB
2024-04-16T22:24:31.333074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.916667
Min length12

Characters and Unicode

Total characters263
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row274620130424181121.JPG
2nd row7563820130424174316.JPG
3rd row5171220130424170527.gif
4th row009_6769.JPG
5th row532820180927182153.jpg
ValueCountFrequency (%)
274620130424181121.jpg 1
8.3%
7563820130424174316.jpg 1
8.3%
5171220130424170527.gif 1
8.3%
009_6769.jpg 1
8.3%
532820180927182153.jpg 1
8.3%
4970820180927175336.jpg 1
8.3%
4545720180927181755.jpg 1
8.3%
2643120130522163717.gif 1
8.3%
4733520130424173054.gif 1
8.3%
7341920180927173756.jpg 1
8.3%
Other values (2) 2
16.7%
2024-04-16T22:24:31.624832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 36
13.7%
2 32
12.2%
0 29
11.0%
4 23
8.7%
7 23
8.7%
3 21
8.0%
5 18
 
6.8%
6 12
 
4.6%
. 12
 
4.6%
8 11
 
4.2%
Other values (12) 46
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
81.4%
Lowercase Letter 24
 
9.1%
Other Punctuation 12
 
4.6%
Uppercase Letter 12
 
4.6%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 36
16.8%
2 32
15.0%
0 29
13.6%
4 23
10.7%
7 23
10.7%
3 21
9.8%
5 18
8.4%
6 12
 
5.6%
8 11
 
5.1%
9 9
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
g 8
33.3%
p 5
20.8%
j 5
20.8%
f 3
 
12.5%
i 3
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
G 4
33.3%
P 3
25.0%
J 3
25.0%
I 1
 
8.3%
F 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 227
86.3%
Latin 36
 
13.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 36
15.9%
2 32
14.1%
0 29
12.8%
4 23
10.1%
7 23
10.1%
3 21
9.3%
5 18
7.9%
6 12
 
5.3%
. 12
 
5.3%
8 11
 
4.8%
Other values (2) 10
 
4.4%
Latin
ValueCountFrequency (%)
g 8
22.2%
p 5
13.9%
j 5
13.9%
G 4
11.1%
f 3
 
8.3%
i 3
 
8.3%
P 3
 
8.3%
J 3
 
8.3%
I 1
 
2.8%
F 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 36
13.7%
2 32
12.2%
0 29
11.0%
4 23
8.7%
7 23
8.7%
3 21
8.0%
5 18
 
6.8%
6 12
 
4.6%
. 12
 
4.6%
8 11
 
4.2%
Other values (12) 46
17.5%

cp_webflag
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
True
3464 
False
1855 
ValueCountFrequency (%)
True 3464
65.1%
False 1855
34.9%
2024-04-16T22:24:31.728366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

last_load_dttm
Date

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.7 KiB
Minimum2021-01-06 10:25:49
Maximum2021-01-06 10:25:50
2024-04-16T22:24:31.804631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T22:24:31.886943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2024-04-16T22:24:24.430875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-16T22:24:31.951267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeycp_homecp_classcp_hgucp_sanumcp_emailcp_emailflagcp_imgcp_webflaglast_load_dttm
skey1.0000.6190.4460.3570.3500.6650.0791.0000.1830.974
cp_home0.6191.0000.9680.8220.0000.9340.6271.0000.3210.000
cp_class0.4460.9681.0000.5200.3450.9250.0741.0000.1260.122
cp_hgu0.3570.8220.5201.0000.0000.5890.2211.0000.2580.148
cp_sanum0.3500.0000.3450.0001.0001.0000.329NaN0.0000.155
cp_email0.6650.9340.9250.5891.0001.0001.000NaN0.8820.126
cp_emailflag0.0790.6270.0740.2210.3291.0001.000NaN0.3680.027
cp_img1.0001.0001.0001.000NaNNaNNaN1.000NaNNaN
cp_webflag0.1830.3210.1260.2580.0000.8820.368NaN1.0000.044
last_load_dttm0.9740.0000.1220.1480.1550.1260.027NaN0.0441.000
2024-04-16T22:24:32.053740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cp_emailcp_classcp_webflagcp_hgucp_emailflag
cp_email1.0000.6330.7900.2190.964
cp_class0.6331.0000.1130.1460.067
cp_webflag0.7900.1131.0000.2310.240
cp_hgu0.2190.1460.2311.0000.198
cp_emailflag0.9640.0670.2400.1981.000
2024-04-16T22:24:32.138310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeycp_classcp_hgucp_emailcp_emailflagcp_webflag
skey1.0000.1900.1470.3090.0610.140
cp_class0.1901.0000.1460.6330.0670.113
cp_hgu0.1470.1461.0000.2190.1980.231
cp_email0.3090.6330.2191.0000.9640.790
cp_emailflag0.0610.0670.1980.9641.0000.240
cp_webflag0.1400.1130.2310.7900.2401.000

Missing values

2024-04-16T22:24:24.556916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T22:24:24.762712image/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.
2024-04-16T22:24:24.910030image/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

skeycp_compnamecp_homecp_classcp_hgucp_ceonamecp_sanumcp_sidatecp_addrcp_telcp_emailcp_emailflagcp_infocp_woocp_statecp_imgcp_webflaglast_load_dttm
03030644행복한 그림동산 어린이집<NA>어린이집금정구성순임<NA>2018-01-08부산광역시 금정구 금사로29번길 57 (서동)051-522-4071<NA>Y입학금 면제(세째 자녀 이상)<BR><NA><NA>N2021-01-06 10:25:49
13030645고모손칼국수<NA>요식업등해운대구김점순<NA>2018-01-15부산광역시 해운대구 우동1로20번가길 54 (우동)051-749-5604<NA>Y5~10% 할인<BR><NA><NA>Y2021-01-06 10:25:49
23030646은사랑어린이집<NA>어린이집해운대구박정혜<NA>2014-04-18부산광역시 해운대구 재송2로90번길 33 (재송동)051-781-1123<NA>Y입학금, 차량비면제<BR><NA><NA>Y2021-01-06 10:25:49
33030647사랑가득어린이집<NA>어린이집수영구배영선<NA>2018-01-15부산광역시 수영구 민락로33번길 4 (민락동)051-761-0200<NA>Y<U></U>입학금 20% 면제<BR><NA><NA>Y2021-01-06 10:25:49
43030648고운어린이집<NA>어린이집수영구김은정<NA>2018-01-15부산광역시 수영구 광남로83번길 26-3 (광안동)051-756-0146<NA>Y입학금 면제<BR><NA><NA>Y2021-01-06 10:25:49
53030649비엔나음악학원<NA>학원금정구이신애<NA>2019-02-26부산광역시 금정구 중앙대로1685번길 22 경남한신아파트 에이상가 3층051-581-5133<NA>Y두번째 자녀는 수업료의 10%세번째 자녀는 수업료의 30%(형제혜택시)<BR><NA><NA>Y2021-01-06 10:25:49
63030650자윤한의원<NA>한의원해운대구김현수<NA>2018-01-08부산광역시 해운대구 센텀1로 9 롯데갤러리움 E동 2층051-714-2789<NA>Y건강보험 비급여 항목 10% 할인<FONT SIZE="2">(본인부담금 제외)</FONT><BR><NA><NA>Y2021-01-06 10:25:49
73030651크로바 꽃 식물원<NA>기타동래구김종현<NA>2017-12-19부산광역시 동래구 충렬대로200번길 39 (명륜동)051-557-4481<NA>Y구입금액 5%할인<BR><NA><NA>Y2021-01-06 10:25:49
83030652석이 추어탕<NA>요식업등동래구박순미<NA>2018-01-12부산광역시 동래구 동래로79번길 94 (명륜동)051-558-7321<NA>Y음료수 한병 무료 제공<BR><NA><NA>Y2021-01-06 10:25:49
93030653삼천리 온천럭키점<NA>기타동래구황정우<NA>2018-01-12부산광역시 동래구 중앙대로1335번길 93 (온천2동)051-555-5418<NA>Y기존 할인가격에서 추가 5~10%할인<BR><NA><NA>Y2021-01-06 10:25:49
skeycp_compnamecp_homecp_classcp_hgucp_ceonamecp_sanumcp_sidatecp_addrcp_telcp_emailcp_emailflagcp_infocp_woocp_statecp_imgcp_webflaglast_load_dttm
53093025453미가홈인테리어<NA>기타동래구문미자02000-01-01부산광역시 동래구 안락2동 629-113051-527-5759<NA>Y일반상품 구매시 10% 할인<NA><NA>N2021-01-06 10:25:50
53103025454우주어린이집<NA>어린이집동래구한정애02000-01-01부산광역시 동래구 안락동 온천천로453번길 29051-523-0780<NA>Y입학금 면제<NA><NA>N2021-01-06 10:25:50
53113025455금농골<NA>요식업등연제구김말순<NA>2014-04-25부산광역시 연제구 연산동 중앙천로73번길 금농골051-851-8845<NA>Y<NA>위 가족에 해당된 분에 한하여 식사시 5%우대 해드립니다.<NA><NA>Y2021-01-06 10:25:50
53123025456선경어린이집<NA>어린이집동래구이명숙02000-01-01부산광역시 동래구 안락1동 420-41051-521-5998<NA>Y세째이상 자녀 교통비 면제<NA><NA>Y2021-01-06 10:25:50
53133025457대덕한의원<NA>한의원<NA>김시영02000-01-01부산광역시 동래구 충렬대로 231 (수안동)051-554-9449<NA>Y<NA>· 진료비 30% 할인<BR>· 치료비 30% 할인<BR><NA><NA>Y2021-01-06 10:25:50
53143025458장수돼지국밥<NA>요식업등연제구김현<NA>2014-04-25부산광역시 연제구 거제동 거제시장로14번길 57051-851-8988<NA>Y<NA>전메뉴의 10% D.C<NA><NA>Y2021-01-06 10:25:50
53153025459제중한의원<NA>한의원동래구구환석02000-01-01부산광역시 동래구 석사로 10-1 (사직동)051-506-1075<NA>Y<NA>· 한약값 20% 할인<BR><BR><NA><NA>Y2021-01-06 10:25:50
53163025460여고유치원<NA>유치원동래구신태선02000-01-01부산광역시 동래구 사직3동 388051-502-9479<NA>Y입학금 NBSP;20% 할인<NA><NA>N2021-01-06 10:25:50
53173025461아이성어린이집<NA>어린이집동래구박정자02000-01-01부산광역시 동래구 사직3동 143-59051-504-4455<NA>Y형제신청시 동생도 입학금 면제<NA><NA>Y2021-01-06 10:25:50
53183025462국제학원<NA>학원동래구김정률02000-01-01부산광역시 동래구 충렬사로 81 국제아파트상가 201호051-528-5780<NA>Y학원비 15% 할인<NA><NA>Y2021-01-06 10:25:50