Overview

Dataset statistics

Number of variables18
Number of observations634
Missing cells723
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.5 KiB
Average record size in memory146.2 B

Variable types

Text13
Numeric2
Categorical2
DateTime1

Alerts

last_load_dttm has constant value ""Constant
cn_cd is highly overall correlated with cn and 1 other fieldsHigh correlation
cn is highly overall correlated with cn_cd and 1 other fieldsHigh correlation
parkng_at is highly overall correlated with cn_cd and 1 other fieldsHigh correlation
cn is highly imbalanced (66.2%)Imbalance
img_file1 has 44 (6.9%) missing valuesMissing
img_name1 has 44 (6.9%) missing valuesMissing
img_file2 has 295 (46.5%) missing valuesMissing
img_name2 has 295 (46.5%) missing valuesMissing
idx has 8 (1.3%) missing valuesMissing
last_load_dttm has 8 (1.3%) missing valuesMissing

Reproduction

Analysis started2024-04-16 04:59:02.173412
Analysis finished2024-04-16 04:59:04.849541
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

sj
Text

Distinct624
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:59:05.054884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.2318612
Min length1

Characters and Unicode

Total characters3317
Distinct characters433
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

Unique614 ?
Unique (%)96.8%

Sample

1st row대한곰탕
2nd row양가손만두
3rd row평사리순두부
4th row맨인블랙
5th row최짬뽕달인
ValueCountFrequency (%)
손칼국수 4
 
0.6%
장터국밥 2
 
0.3%
카페 2
 
0.3%
까꼬뽀꼬 2
 
0.3%
칼국수 2
 
0.3%
정원식당 2
 
0.3%
대가호 2
 
0.3%
서울칼국수 2
 
0.3%
우정분식 2
 
0.3%
구포국수 2
 
0.3%
Other values (651) 654
96.7%
2024-04-16T13:59:05.398224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 101
 
3.0%
수 74
 
2.2%
식 74
 
2.2%
밥 65
 
2.0%
당 63
 
1.9%
어 59
 
1.8%
가 55
 
1.7%
리 54
 
1.6%
이 53
 
1.6%
미 51
 
1.5%
Other values (423) 2668
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3196
96.4%
Space Separator 43
 
1.3%
Decimal Number 41
 
1.2%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Lowercase Letter 6
 
0.2%
Other Punctuation 5
 
0.2%
Uppercase Letter 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 101
 
3.2%
수 74
 
2.3%
식 74
 
2.3%
밥 65
 
2.0%
당 63
 
2.0%
어 59
 
1.8%
가 55
 
1.7%
리 54
 
1.7%
이 53
 
1.7%
미 51
 
1.6%
Other values (398) 2547
79.7%
Decimal Number
ValueCountFrequency (%)
1 9
22.0%
0 7
17.1%
7 7
17.1%
2 5
12.2%
4 4
9.8%
3 3
 
7.3%
5 2
 
4.9%
6 2
 
4.9%
8 1
 
2.4%
9 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
o 1
16.7%
g 1
16.7%
u 1
16.7%
b 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 1
 
20.0%
, 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
C 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3196
96.4%
Common 111
 
3.3%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 101
 
3.2%
수 74
 
2.3%
식 74
 
2.3%
밥 65
 
2.0%
당 63
 
2.0%
어 59
 
1.8%
가 55
 
1.7%
리 54
 
1.7%
이 53
 
1.7%
미 51
 
1.6%
Other values (398) 2547
79.7%
Common
ValueCountFrequency (%)
43
38.7%
) 10
 
9.0%
( 10
 
9.0%
1 9
 
8.1%
0 7
 
6.3%
7 7
 
6.3%
2 5
 
4.5%
4 4
 
3.6%
3 3
 
2.7%
& 3
 
2.7%
Other values (7) 10
 
9.0%
Latin
ValueCountFrequency (%)
J 2
20.0%
y 2
20.0%
o 1
10.0%
g 1
10.0%
u 1
10.0%
C 1
10.0%
H 1
10.0%
b 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3196
96.4%
ASCII 121
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 101
 
3.2%
수 74
 
2.3%
식 74
 
2.3%
밥 65
 
2.0%
당 63
 
2.0%
어 59
 
1.8%
가 55
 
1.7%
리 54
 
1.7%
이 53
 
1.7%
미 51
 
1.6%
Other values (398) 2547
79.7%
ASCII
ValueCountFrequency (%)
43
35.5%
) 10
 
8.3%
( 10
 
8.3%
1 9
 
7.4%
0 7
 
5.8%
7 7
 
5.8%
2 5
 
4.1%
4 4
 
3.3%
3 3
 
2.5%
& 3
 
2.5%
Other values (15) 20
16.5%

m_nm
Text

Distinct617
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:59:05.699081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0694006
Min length2

Characters and Unicode

Total characters1946
Distinct characters201
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique601 ?
Unique (%)94.8%

Sample

1st row김선경
2nd row양윤석
3rd row박동영
4th row이유진
5th row김기분
ValueCountFrequency (%)
이영자 3
 
0.5%
유인숙 2
 
0.3%
이영우 2
 
0.3%
김명희 2
 
0.3%
김원자 2
 
0.3%
김영식 2
 
0.3%
김정희 2
 
0.3%
김혜정 2
 
0.3%
한경화 2
 
0.3%
이명호 2
 
0.3%
Other values (610) 616
96.7%
2024-04-16T13:59:06.131613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 123
 
6.3%
정 96
 
4.9%
이 94
 
4.8%
순 60
 
3.1%
희 57
 
2.9%
영 56
 
2.9%
숙 51
 
2.6%
자 47
 
2.4%
박 45
 
2.3%
경 40
 
2.1%
Other values (191) 1277
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1886
96.9%
Decimal Number 43
 
2.2%
Dash Punctuation 8
 
0.4%
Other Punctuation 6
 
0.3%
Space Separator 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 123
 
6.5%
정 96
 
5.1%
이 94
 
5.0%
순 60
 
3.2%
희 57
 
3.0%
영 56
 
3.0%
숙 51
 
2.7%
자 47
 
2.5%
박 45
 
2.4%
경 40
 
2.1%
Other values (178) 1217
64.5%
Decimal Number
ValueCountFrequency (%)
3 8
18.6%
1 6
14.0%
5 6
14.0%
2 6
14.0%
0 5
11.6%
6 3
 
7.0%
4 3
 
7.0%
8 2
 
4.7%
9 2
 
4.7%
7 2
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
* 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1886
96.9%
Common 60
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 123
 
6.5%
정 96
 
5.1%
이 94
 
5.0%
순 60
 
3.2%
희 57
 
3.0%
영 56
 
3.0%
숙 51
 
2.7%
자 47
 
2.5%
박 45
 
2.4%
경 40
 
2.1%
Other values (178) 1217
64.5%
Common
ValueCountFrequency (%)
- 8
13.3%
3 8
13.3%
1 6
10.0%
5 6
10.0%
2 6
10.0%
* 6
10.0%
0 5
8.3%
3
 
5.0%
6 3
 
5.0%
4 3
 
5.0%
Other values (3) 6
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1885
96.9%
ASCII 60
 
3.1%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 123
 
6.5%
정 96
 
5.1%
이 94
 
5.0%
순 60
 
3.2%
희 57
 
3.0%
영 56
 
3.0%
숙 51
 
2.7%
자 47
 
2.5%
박 45
 
2.4%
경 40
 
2.1%
Other values (177) 1216
64.5%
ASCII
ValueCountFrequency (%)
- 8
13.3%
3 8
13.3%
1 6
10.0%
5 6
10.0%
2 6
10.0%
* 6
10.0%
0 5
8.3%
3
 
5.0%
6 3
 
5.0%
4 3
 
5.0%
Other values (3) 6
10.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

adres
Text

Distinct628
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-04-16T13:59:06.444558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length28.332808
Min length3

Characters and Unicode

Total characters17963
Distinct characters249
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

Unique624 ?
Unique (%)98.4%

Sample

1st row(47253) 부산광역시 부산진구 새싹로28번길 29, 옛날아우내순대 (부전동)
2nd row(47323) 부산광역시 부산진구 가야대로482번길 16, 양가손만두 (개금동)
3rd row(47601) 부산광역시 연제구 중앙천로19번길 40 (연산동)
4th row(47558) 부산광역시 연제구 과정로191번가길 62 (연산동)
5th row(47588) 부산광역시 연제구 과정로 105-7 (연산동)
ValueCountFrequency (%)
부산광역시 400
 
12.3%
부산시 134
 
4.1%
서구 59
 
1.8%
사상구 58
 
1.8%
동래구 52
 
1.6%
영도구 50
 
1.5%
연제구 46
 
1.4%
북구 41
 
1.3%
사하구 34
 
1.0%
남구 32
 
1.0%
Other values (1253) 2358
72.2%
2024-04-16T13:59:06.884092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2709
 
15.1%
( 861
 
4.8%
) 860
 
4.8%
4 714
 
4.0%
동 664
 
3.7%
1 649
 
3.6%
산 616
 
3.4%
부 605
 
3.4%
로 600
 
3.3%
구 578
 
3.2%
Other values (239) 9107
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8849
49.3%
Decimal Number 4468
24.9%
Space Separator 2709
 
15.1%
Open Punctuation 861
 
4.8%
Close Punctuation 860
 
4.8%
Dash Punctuation 130
 
0.7%
Other Punctuation 85
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 664
 
7.5%
산 616
 
7.0%
부 605
 
6.8%
로 600
 
6.8%
구 578
 
6.5%
시 562
 
6.4%
광 432
 
4.9%
역 400
 
4.5%
길 387
 
4.4%
번 373
 
4.2%
Other values (223) 3632
41.0%
Decimal Number
ValueCountFrequency (%)
4 714
16.0%
1 649
14.5%
2 540
12.1%
3 438
9.8%
6 386
8.6%
7 378
8.5%
9 375
8.4%
5 368
8.2%
8 327
7.3%
0 293
6.6%
Space Separator
ValueCountFrequency (%)
2709
100.0%
Open Punctuation
ValueCountFrequency (%)
( 861
100.0%
Close Punctuation
ValueCountFrequency (%)
) 860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 85
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9113
50.7%
Hangul 8849
49.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 664
 
7.5%
산 616
 
7.0%
부 605
 
6.8%
로 600
 
6.8%
구 578
 
6.5%
시 562
 
6.4%
광 432
 
4.9%
역 400
 
4.5%
길 387
 
4.4%
번 373
 
4.2%
Other values (223) 3632
41.0%
Common
ValueCountFrequency (%)
2709
29.7%
( 861
 
9.4%
) 860
 
9.4%
4 714
 
7.8%
1 649
 
7.1%
2 540
 
5.9%
3 438
 
4.8%
6 386
 
4.2%
7 378
 
4.1%
9 375
 
4.1%
Other values (5) 1203
13.2%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9114
50.7%
Hangul 8849
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2709
29.7%
( 861
 
9.4%
) 860
 
9.4%
4 714
 
7.8%
1 649
 
7.1%
2 540
 
5.9%
3 438
 
4.8%
6 386
 
4.2%
7 378
 
4.1%
9 375
 
4.1%
Other values (6) 1204
13.2%
Hangul
ValueCountFrequency (%)
동 664
 
7.5%
산 616
 
7.0%
부 605
 
6.8%
로 600
 
6.8%
구 578
 
6.5%
시 562
 
6.4%
광 432
 
4.9%
역 400
 
4.5%
길 387
 
4.4%
번 373
 
4.2%
Other values (223) 3632
41.0%

tel
Text

Distinct620
Distinct (%)98.6%
Missing5
Missing (%)0.8%
Memory size5.1 KiB
2024-04-16T13:59:07.089380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.965024
Min length3

Characters and Unicode

Total characters7526
Distinct characters14
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

Unique615 ?
Unique (%)97.8%

Sample

1st row051-805-8225
2nd row051-894-9870
3rd row051-867-2988
4th row051-761-0833
5th row051-757-3183
ValueCountFrequency (%)
음식점 4
 
0.6%
010-0000-0000 4
 
0.6%
000-000-0000 2
 
0.3%
051-255-8336 2
 
0.3%
051-756-0815 2
 
0.3%
051-805-8225 1
 
0.2%
051-327-8823 1
 
0.2%
051-246-2452 1
 
0.2%
051-327-2127 1
 
0.2%
051-231-7877 1
 
0.2%
Other values (610) 610
97.0%
2024-04-16T13:59:07.417737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1234
16.4%
5 1134
15.1%
0 1085
14.4%
1 1010
13.4%
2 550
7.3%
3 505
6.7%
4 469
 
6.2%
6 434
 
5.8%
7 418
 
5.6%
8 405
 
5.4%
Other values (4) 282
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6280
83.4%
Dash Punctuation 1234
 
16.4%
Other Letter 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1134
18.1%
0 1085
17.3%
1 1010
16.1%
2 550
8.8%
3 505
8.0%
4 469
7.5%
6 434
 
6.9%
7 418
 
6.7%
8 405
 
6.4%
9 270
 
4.3%
Other Letter
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7514
99.8%
Hangul 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1234
16.4%
5 1134
15.1%
0 1085
14.4%
1 1010
13.4%
2 550
7.3%
3 505
6.7%
4 469
 
6.2%
6 434
 
5.8%
7 418
 
5.6%
8 405
 
5.4%
Hangul
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7514
99.8%
Hangul 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1234
16.4%
5 1134
15.1%
0 1085
14.4%
1 1010
13.4%
2 550
7.3%
3 505
6.7%
4 469
 
6.2%
6 434
 
5.8%
7 418
 
5.6%
8 405
 
5.4%
Hangul
ValueCountFrequency (%)
음 4
33.3%
식 4
33.3%
점 4
33.3%

cn_cd
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)1.3%
Missing4
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean603.5
Minimum173
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-16T13:59:07.534243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173
5-th percentile602
Q1602
median602
Q3602
95-th percentile604
Maximum676
Range503
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.516243
Coefficient of variation (CV)0.053879441
Kurtosis107.57399
Mean603.5
Median Absolute Deviation (MAD)0
Skewness-8.4245134
Sum380205
Variance1057.306
MonotonicityNot monotonic
2024-04-16T13:59:07.645916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
602 503
79.3%
603 80
 
12.6%
676 30
 
4.7%
604 13
 
2.1%
329 1
 
0.2%
343 1
 
0.2%
182 1
 
0.2%
173 1
 
0.2%
(Missing) 4
 
0.6%
ValueCountFrequency (%)
173 1
 
0.2%
182 1
 
0.2%
329 1
 
0.2%
343 1
 
0.2%
602 503
79.3%
603 80
 
12.6%
604 13
 
2.1%
676 30
 
4.7%
ValueCountFrequency (%)
676 30
 
4.7%
604 13
 
2.1%
603 80
 
12.6%
602 503
79.3%
343 1
 
0.2%
329 1
 
0.2%
182 1
 
0.2%
173 1
 
0.2%

cn
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
음식점
503 
이미용
80 
기타
 
30
목욕
 
13
<NA>
 
4
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.944795
Min length2

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row음식점
2nd row음식점
3rd row음식점
4th row이미용
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 503
79.3%
이미용 80
 
12.6%
기타 30
 
4.7%
목욕 13
 
2.1%
<NA> 4
 
0.6%
보수동2가 1
 
0.2%
중앙동1가 1
 
0.2%
만덕동 1
 
0.2%
구포동 1
 
0.2%

Length

2024-04-16T13:59:07.783687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:59:07.896807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 503
79.3%
이미용 80
 
12.6%
기타 30
 
4.7%
목욕 13
 
2.1%
na 4
 
0.6%
보수동2가 1
 
0.2%
중앙동1가 1
 
0.2%
만덕동 1
 
0.2%
구포동 1
 
0.2%

locale_cd
Text

Distinct198
Distinct (%)31.4%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:59:08.172257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length3
Mean length3.2079365
Min length2

Characters and Unicode

Total characters2021
Distinct characters106
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)10.8%

Sample

1st row135
2nd row117
3rd row273
4th row279
5th row279
ValueCountFrequency (%)
59 22
 
3.2%
280 19
 
2.7%
135 17
 
2.4%
45 17
 
2.4%
271 14
 
2.0%
188 13
 
1.9%
192 12
 
1.7%
95 11
 
1.6%
216 10
 
1.4%
202 10
 
1.4%
Other values (235) 550
79.1%
2024-04-16T13:59:08.574754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 348
17.2%
1 260
12.9%
3 182
9.0%
5 175
8.7%
8 149
7.4%
0 145
7.2%
9 142
7.0%
4 130
 
6.4%
7 122
 
6.0%
6 86
 
4.3%
Other values (96) 282
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1739
86.0%
Other Letter 208
 
10.3%
Space Separator 66
 
3.3%
Other Punctuation 6
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
지 6
 
2.9%
고 6
 
2.9%
음 6
 
2.9%
해 5
 
2.4%
있 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
Decimal Number
ValueCountFrequency (%)
2 348
20.0%
1 260
15.0%
3 182
10.5%
5 175
10.1%
8 149
8.6%
0 145
8.3%
9 142
8.2%
4 130
 
7.5%
7 122
 
7.0%
6 86
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1813
89.7%
Hangul 208
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
지 6
 
2.9%
고 6
 
2.9%
음 6
 
2.9%
해 5
 
2.4%
있 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
Common
ValueCountFrequency (%)
2 348
19.2%
1 260
14.3%
3 182
10.0%
5 175
9.7%
8 149
8.2%
0 145
8.0%
9 142
7.8%
4 130
 
7.2%
7 122
 
6.7%
6 86
 
4.7%
Other values (6) 74
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1812
89.7%
Hangul 208
 
10.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 348
19.2%
1 260
14.3%
3 182
10.0%
5 175
9.7%
8 149
8.2%
0 145
8.0%
9 142
7.8%
4 130
 
7.2%
7 122
 
6.7%
6 86
 
4.7%
Other values (5) 73
 
4.0%
Hangul
ValueCountFrequency (%)
을 12
 
5.8%
가 10
 
4.8%
격 9
 
4.3%
정 8
 
3.8%
지 6
 
2.9%
고 6
 
2.9%
음 6
 
2.9%
해 5
 
2.4%
있 5
 
2.4%
위 5
 
2.4%
Other values (80) 136
65.4%
None
ValueCountFrequency (%)
· 1
100.0%

locale
Text

Distinct196
Distinct (%)31.1%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:59:08.857131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.715873
Min length1

Characters and Unicode

Total characters2341
Distinct characters109
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)10.3%

Sample

1st row부전1동
2nd row개금1동
3rd row연산2동
4th row연산9동
5th row연산9동
ValueCountFrequency (%)
대연동 22
 
3.5%
연산동 19
 
3.0%
기장읍 17
 
2.7%
부전1동 17
 
2.7%
거제동 14
 
2.2%
감전동 13
 
2.1%
덕포동 12
 
1.9%
명륜동 11
 
1.7%
용호동 10
 
1.6%
주례동 10
 
1.6%
Other values (186) 485
77.0%
2024-04-16T13:59:09.300635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 632
27.0%
1 137
 
5.9%
2 113
 
4.8%
가 111
 
4.7%
연 64
 
2.7%
대 57
 
2.4%
3 52
 
2.2%
부 44
 
1.9%
전 43
 
1.8%
천 42
 
1.8%
Other values (99) 1046
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1996
85.3%
Decimal Number 341
 
14.6%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 632
31.7%
가 111
 
5.6%
연 64
 
3.2%
대 57
 
2.9%
부 44
 
2.2%
전 43
 
2.2%
천 42
 
2.1%
산 39
 
2.0%
장 38
 
1.9%
정 36
 
1.8%
Other values (89) 890
44.6%
Decimal Number
ValueCountFrequency (%)
1 137
40.2%
2 113
33.1%
3 52
 
15.2%
4 19
 
5.6%
5 14
 
4.1%
6 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 3
75.0%
Y 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1996
85.3%
Common 341
 
14.6%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 632
31.7%
가 111
 
5.6%
연 64
 
3.2%
대 57
 
2.9%
부 44
 
2.2%
전 43
 
2.2%
천 42
 
2.1%
산 39
 
2.0%
장 38
 
1.9%
정 36
 
1.8%
Other values (89) 890
44.6%
Common
ValueCountFrequency (%)
1 137
40.2%
2 113
33.1%
3 52
 
15.2%
4 19
 
5.6%
5 14
 
4.1%
6 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
N 3
75.0%
Y 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1996
85.3%
ASCII 345
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 632
31.7%
가 111
 
5.6%
연 64
 
3.2%
대 57
 
2.9%
부 44
 
2.2%
전 43
 
2.2%
천 42
 
2.1%
산 39
 
2.0%
장 38
 
1.9%
정 36
 
1.8%
Other values (89) 890
44.6%
ASCII
ValueCountFrequency (%)
1 137
39.7%
2 113
32.8%
3 52
 
15.1%
4 19
 
5.5%
5 14
 
4.1%
N 3
 
0.9%
6 3
 
0.9%
9 2
 
0.6%
Y 1
 
0.3%
8 1
 
0.3%

intrcn
Text

Distinct562
Distinct (%)89.2%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:59:09.591684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length155
Mean length85.584127
Min length7

Characters and Unicode

Total characters53918
Distinct characters689
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique553 ?
Unique (%)87.8%

Sample

1st row<p><br style="clear: both;">&nbsp;<!--StartFragment--></p><p class="0" style="mso-pagination: none; mso-padding-alt: 0pt 0pt 0pt 0pt;"><p class="0" style="mso-pagination: none; mso-padding-alt: 0pt 0pt 0pt 0pt;"><span style="font-family: 휴먼명조; font-size: 12pt; mso-fareast-font-family: 휴먼명조;"><br></span></p><!--[data-hwpjson]{ "documentPr": { "di": "", "dp": { "dn": "test.hwp", "ta": 1, "d1": 5, "d2": 0, "dv": 5, "dr": 1, "do": 1, "vj": "1.0", "an": "Hancom Office Hangul", "av": "9, 1, 1, 4673", "ao": "WIN", "ab": "32", "ar": "LE", "as": "Windows_Unknown_Version" }, "dis": false, "ds": { "ti": "", "la": "ko", "cr": "user", "su": "", "de": "", "cd": "2020-07-08T14:31:33.293Z", "md": "2020-07-08T14:31:33.324Z", "pd": "1601-01-01T09:00:00.000Z", "ke": "" } }, "dh": { "do": { "pa": 1, "fo": 1, "en": 1, "pi": 1, "tb": 1, "eq": 1 }, "fo": [ ], "cd": { "tp": 0, "lc": { "af": false, "ui": false, "fu": false, "dn": false, "ul": false, "el": false, "at": false, "tq": f
2nd row<p>전통시장내 업소로 저렴하게 식자재를 구입하고 위생업체에 정기적인 관리로 항상 청결하고 저렴한 음식 제공<img alt="28.양가손만두.jpg" src="/ImagePrint.do?dir=smartEditor&amp;savename=f55b98d284f44382a0b42e1d98d54ebb&amp;realname=28.양가손만두.jpg&amp;fileext=jpg&amp;filetype=image/pjpeg&amp;filesize=4390384"><br style="clear: both;">&nbsp;</p>
3rd row<p>&nbsp;</p>
4th row<p>&nbsp;</p>
5th row<p>&nbsp;</p>
ValueCountFrequency (%)
직접 117
 
1.5%
저렴한 116
 
1.5%
가격으로 65
 
0.8%
있음 57
 
0.7%
p>&nbsp;</p 50
 
0.6%
및 44
 
0.6%
face="굴림 43
 
0.5%
style="width 42
 
0.5%
가격을 41
 
0.5%
size="3 41
 
0.5%
Other values (3286) 7275
92.2%
2024-04-16T13:59:10.030268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7566
 
14.0%
p 2068
 
3.8%
< 1469
 
2.7%
> 1463
 
2.7%
s 1445
 
2.7%
n 1285
 
2.4%
t 1239
 
2.3%
" 1154
 
2.1%
; 1037
 
1.9%
b 1035
 
1.9%
Other values (679) 34157
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21294
39.5%
Lowercase Letter 14458
26.8%
Space Separator 7566
 
14.0%
Other Punctuation 4726
 
8.8%
Math Symbol 3453
 
6.4%
Decimal Number 1705
 
3.2%
Dash Punctuation 399
 
0.7%
Uppercase Letter 128
 
0.2%
Connector Punctuation 105
 
0.2%
Open Punctuation 37
 
0.1%
Other values (2) 47
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 715
 
3.4%
가 598
 
2.8%
이 595
 
2.8%
고 556
 
2.6%
한 469
 
2.2%
로 458
 
2.2%
을 330
 
1.5%
으 314
 
1.5%
에 304
 
1.4%
인 301
 
1.4%
Other values (596) 16654
78.2%
Lowercase Letter
ValueCountFrequency (%)
p 2068
14.3%
s 1445
 
10.0%
n 1285
 
8.9%
t 1239
 
8.6%
b 1035
 
7.2%
e 1002
 
6.9%
o 776
 
5.4%
a 736
 
5.1%
r 633
 
4.4%
l 611
 
4.2%
Other values (16) 3628
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 17
13.3%
S 16
12.5%
N 13
10.2%
U 11
 
8.6%
B 10
 
7.8%
A 7
 
5.5%
M 7
 
5.5%
P 7
 
5.5%
I 7
 
5.5%
T 5
 
3.9%
Other values (9) 28
21.9%
Other Punctuation
ValueCountFrequency (%)
" 1154
24.4%
; 1037
21.9%
& 694
14.7%
/ 649
13.7%
: 431
 
9.1%
, 422
 
8.9%
. 296
 
6.3%
% 19
 
0.4%
! 10
 
0.2%
? 6
 
0.1%
Other values (2) 8
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 434
25.5%
3 232
13.6%
1 229
13.4%
2 191
11.2%
5 179
10.5%
4 101
 
5.9%
8 99
 
5.8%
9 87
 
5.1%
7 84
 
4.9%
6 69
 
4.0%
Math Symbol
ValueCountFrequency (%)
< 1469
42.5%
> 1463
42.4%
= 514
 
14.9%
~ 6
 
0.2%
+ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 23
62.2%
{ 11
29.7%
[ 3
 
8.1%
Close Punctuation
ValueCountFrequency (%)
) 23
74.2%
} 5
 
16.1%
] 3
 
9.7%
Format
ValueCountFrequency (%)
 9
56.2%
​ 7
43.8%
Space Separator
ValueCountFrequency (%)
7566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 399
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21294
39.5%
Common 18038
33.5%
Latin 14586
27.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 715
 
3.4%
가 598
 
2.8%
이 595
 
2.8%
고 556
 
2.6%
한 469
 
2.2%
로 458
 
2.2%
을 330
 
1.5%
으 314
 
1.5%
에 304
 
1.4%
인 301
 
1.4%
Other values (596) 16654
78.2%
Latin
ValueCountFrequency (%)
p 2068
14.2%
s 1445
 
9.9%
n 1285
 
8.8%
t 1239
 
8.5%
b 1035
 
7.1%
e 1002
 
6.9%
o 776
 
5.3%
a 736
 
5.0%
r 633
 
4.3%
l 611
 
4.2%
Other values (35) 3756
25.8%
Common
ValueCountFrequency (%)
7566
41.9%
< 1469
 
8.1%
> 1463
 
8.1%
" 1154
 
6.4%
; 1037
 
5.7%
& 694
 
3.8%
/ 649
 
3.6%
= 514
 
2.8%
0 434
 
2.4%
: 431
 
2.4%
Other values (28) 2627
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32606
60.5%
Hangul 21294
39.5%
None 11
 
< 0.1%
Punctuation 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7566
23.2%
p 2068
 
6.3%
< 1469
 
4.5%
> 1463
 
4.5%
s 1445
 
4.4%
n 1285
 
3.9%
t 1239
 
3.8%
" 1154
 
3.5%
; 1037
 
3.2%
b 1035
 
3.2%
Other values (70) 12845
39.4%
Hangul
ValueCountFrequency (%)
하 715
 
3.4%
가 598
 
2.8%
이 595
 
2.8%
고 556
 
2.6%
한 469
 
2.2%
로 458
 
2.2%
을 330
 
1.5%
으 314
 
1.5%
에 304
 
1.4%
인 301
 
1.4%
Other values (596) 16654
78.2%
None
ValueCountFrequency (%)
 9
81.8%
· 2
 
18.2%
Punctuation
ValueCountFrequency (%)
​ 7
100.0%

parkng_at
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
N
424 
Y
202 
<NA>
 
4
20130221024508
 
4

Length

Max length14
Median length1
Mean length1.1009464
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowY

Common Values

ValueCountFrequency (%)
N 424
66.9%
Y 202
31.9%
<NA> 4
 
0.6%
20130221024508 4
 
0.6%

Length

2024-04-16T13:59:10.172174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:59:10.281646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 424
66.9%
y 202
31.9%
na 4
 
0.6%
20130221024508 4
 
0.6%

bsn_time
Text

Distinct280
Distinct (%)44.4%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:59:10.568448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length11
Mean length12.860317
Min length2

Characters and Unicode

Total characters8102
Distinct characters93
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)31.6%

Sample

1st row10:00-22:00
2nd row09:30-20:00
3rd row11시~21시
4th row10시~20시
5th row11시~21시
ValueCountFrequency (%)
67
 
6.6%
휴무 50
 
4.9%
pm 47
 
4.6%
am 43
 
4.3%
10:00~22:00 37
 
3.7%
11:00~21:00 27
 
2.7%
10:00~20:00 27
 
2.7%
11:00~22:00 23
 
2.3%
10:00~21:00 23
 
2.3%
일요일 22
 
2.2%
Other values (261) 645
63.8%
2024-04-16T13:59:11.016938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2633
32.5%
: 1159
14.3%
1 799
 
9.9%
2 665
 
8.2%
~ 503
 
6.2%
473
 
5.8%
3 234
 
2.9%
9 168
 
2.1%
m 114
 
1.4%
- 96
 
1.2%
Other values (83) 1258
15.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4709
58.1%
Other Punctuation 1239
 
15.3%
Other Letter 577
 
7.1%
Math Symbol 519
 
6.4%
Space Separator 473
 
5.8%
Lowercase Letter 346
 
4.3%
Dash Punctuation 96
 
1.2%
Uppercase Letter 68
 
0.8%
Open Punctuation 37
 
0.5%
Close Punctuation 37
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 87
15.1%
무 61
10.6%
휴 61
10.6%
시 61
10.6%
요 57
9.9%
주 35
 
6.1%
매 35
 
6.1%
간 25
 
4.3%
째 23
 
4.0%
화 20
 
3.5%
Other values (30) 112
19.4%
Lowercase Letter
ValueCountFrequency (%)
m 114
32.9%
p 67
19.4%
a 59
17.1%
e 20
 
5.8%
o 12
 
3.5%
r 9
 
2.6%
i 8
 
2.3%
g 8
 
2.3%
f 8
 
2.3%
l 8
 
2.3%
Other values (8) 33
 
9.5%
Decimal Number
ValueCountFrequency (%)
0 2633
55.9%
1 799
 
17.0%
2 665
 
14.1%
3 234
 
5.0%
9 168
 
3.6%
8 70
 
1.5%
4 54
 
1.1%
7 46
 
1.0%
5 24
 
0.5%
6 16
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
I 16
23.5%
N 12
17.6%
M 8
11.8%
G 8
11.8%
T 4
 
5.9%
A 4
 
5.9%
K 4
 
5.9%
D 4
 
5.9%
L 4
 
5.9%
U 4
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 1159
93.5%
, 40
 
3.2%
; 12
 
1.0%
& 12
 
1.0%
/ 10
 
0.8%
? 4
 
0.3%
' 1
 
0.1%
· 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 503
96.9%
= 16
 
3.1%
Space Separator
ValueCountFrequency (%)
473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7111
87.8%
Hangul 577
 
7.1%
Latin 414
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 87
15.1%
무 61
10.6%
휴 61
10.6%
시 61
10.6%
요 57
9.9%
주 35
 
6.1%
매 35
 
6.1%
간 25
 
4.3%
째 23
 
4.0%
화 20
 
3.5%
Other values (30) 112
19.4%
Latin
ValueCountFrequency (%)
m 114
27.5%
p 67
16.2%
a 59
14.3%
e 20
 
4.8%
I 16
 
3.9%
N 12
 
2.9%
o 12
 
2.9%
r 9
 
2.2%
i 8
 
1.9%
g 8
 
1.9%
Other values (18) 89
21.5%
Common
ValueCountFrequency (%)
0 2633
37.0%
: 1159
16.3%
1 799
 
11.2%
2 665
 
9.4%
~ 503
 
7.1%
473
 
6.7%
3 234
 
3.3%
9 168
 
2.4%
- 96
 
1.4%
8 70
 
1.0%
Other values (15) 311
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7524
92.9%
Hangul 577
 
7.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2633
35.0%
: 1159
15.4%
1 799
 
10.6%
2 665
 
8.8%
~ 503
 
6.7%
473
 
6.3%
3 234
 
3.1%
9 168
 
2.2%
m 114
 
1.5%
- 96
 
1.3%
Other values (42) 680
 
9.0%
Hangul
ValueCountFrequency (%)
일 87
15.1%
무 61
10.6%
휴 61
10.6%
시 61
10.6%
요 57
9.9%
주 35
 
6.1%
매 35
 
6.1%
간 25
 
4.3%
째 23
 
4.0%
화 20
 
3.5%
Other values (30) 112
19.4%
None
ValueCountFrequency (%)
· 1
100.0%

creat_dt
Text

Distinct483
Distinct (%)76.7%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:59:11.258056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.990476
Min length10

Characters and Unicode

Total characters8814
Distinct characters41
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique482 ?
Unique (%)76.5%

Sample

1st row20190424014900
2nd row20190424014230
3rd row20190422035851
4th row20190422035606
5th row20190422035428
ValueCountFrequency (%)
20130221024508 148
 
23.5%
20180306053222 1
 
0.2%
20190424014900 1
 
0.2%
20180129010656 1
 
0.2%
20171013123046 1
 
0.2%
20171013123250 1
 
0.2%
20171013123756 1
 
0.2%
20171013124057 1
 
0.2%
20171013124349 1
 
0.2%
20171013040810 1
 
0.2%
Other values (473) 473
75.1%
2024-04-16T13:59:11.635618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2393
27.1%
2 1681
19.1%
1 1408
16.0%
3 715
 
8.1%
4 660
 
7.5%
5 659
 
7.5%
8 362
 
4.1%
7 298
 
3.4%
9 297
 
3.4%
6 292
 
3.3%
Other values (31) 49
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8765
99.4%
Other Letter 30
 
0.3%
Lowercase Letter 12
 
0.1%
Other Punctuation 4
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 2
 
6.7%
국 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
식 1
 
3.3%
지 1
 
3.3%
문 1
 
3.3%
시 1
 
3.3%
포 1
 
3.3%
구 1
 
3.3%
Other values (16) 16
53.3%
Decimal Number
ValueCountFrequency (%)
0 2393
27.3%
2 1681
19.2%
1 1408
16.1%
3 715
 
8.2%
4 660
 
7.5%
5 659
 
7.5%
8 362
 
4.1%
7 298
 
3.4%
9 297
 
3.4%
6 292
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
p 4
33.3%
j 4
33.3%
g 4
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8772
99.5%
Hangul 30
 
0.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 2
 
6.7%
국 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
식 1
 
3.3%
지 1
 
3.3%
문 1
 
3.3%
시 1
 
3.3%
포 1
 
3.3%
구 1
 
3.3%
Other values (16) 16
53.3%
Common
ValueCountFrequency (%)
0 2393
27.3%
2 1681
19.2%
1 1408
16.1%
3 715
 
8.2%
4 660
 
7.5%
5 659
 
7.5%
8 362
 
4.1%
7 298
 
3.4%
9 297
 
3.4%
6 292
 
3.3%
Other values (2) 7
 
0.1%
Latin
ValueCountFrequency (%)
p 4
33.3%
j 4
33.3%
g 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8784
99.7%
Hangul 30
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2393
27.2%
2 1681
19.1%
1 1408
16.0%
3 715
 
8.1%
4 660
 
7.5%
5 659
 
7.5%
8 362
 
4.1%
7 298
 
3.4%
9 297
 
3.4%
6 292
 
3.3%
Other values (5) 19
 
0.2%
Hangul
ValueCountFrequency (%)
내 2
 
6.7%
국 2
 
6.7%
전 2
 
6.7%
부 2
 
6.7%
식 1
 
3.3%
지 1
 
3.3%
문 1
 
3.3%
시 1
 
3.3%
포 1
 
3.3%
구 1
 
3.3%
Other values (16) 16
53.3%

img_file1
Text

MISSING 

Distinct590
Distinct (%)100.0%
Missing44
Missing (%)6.9%
Memory size5.1 KiB
2024-04-16T13:59:11.944478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length75.686441
Min length73

Characters and Unicode

Total characters44655
Distinct characters42
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

Unique590 ?
Unique (%)100.0%

Sample

1st row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4503&amp;fileTy=IMG&amp;fileNo=2
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4502&amp;fileTy=IMG&amp;fileNo=1
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4501&amp;fileTy=IMG&amp;fileNo=1
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4500&amp;fileTy=IMG&amp;fileNo=1
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4499&amp;fileTy=IMG&amp;fileNo=1
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=4554&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=43&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=76&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4319&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4318&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=81&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=80&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=79&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=77&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=74&amp;filety=img&amp;fileno=2 1
 
0.2%
Other values (580) 580
98.3%
2024-04-16T13:59:12.340378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 3540
 
7.9%
e 2950
 
6.6%
p 2950
 
6.6%
I 2360
 
5.3%
a 2360
 
5.3%
= 2360
 
5.3%
N 1770
 
4.0%
o 1770
 
4.0%
; 1770
 
4.0%
& 1770
 
4.0%
Other values (32) 21055
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24190
54.2%
Uppercase Letter 10030
22.5%
Other Punctuation 5310
 
11.9%
Decimal Number 2765
 
6.2%
Math Symbol 2360
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 3540
14.6%
e 2950
12.2%
p 2950
12.2%
a 2360
9.8%
o 1770
 
7.3%
l 1180
 
4.9%
i 1180
 
4.9%
f 1180
 
4.9%
c 1180
 
4.9%
g 1180
 
4.9%
Other values (7) 4720
19.5%
Uppercase Letter
ValueCountFrequency (%)
I 2360
23.5%
N 1770
17.6%
G 1180
11.8%
M 1180
11.8%
U 590
 
5.9%
T 590
 
5.9%
L 590
 
5.9%
D 590
 
5.9%
K 590
 
5.9%
A 590
 
5.9%
Decimal Number
ValueCountFrequency (%)
4 558
20.2%
1 498
18.0%
2 487
17.6%
3 348
12.6%
5 214
 
7.7%
6 158
 
5.7%
9 129
 
4.7%
0 125
 
4.5%
8 124
 
4.5%
7 124
 
4.5%
Other Punctuation
ValueCountFrequency (%)
; 1770
33.3%
& 1770
33.3%
/ 1180
22.2%
? 590
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 2360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34220
76.6%
Common 10435
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 3540
 
10.3%
e 2950
 
8.6%
p 2950
 
8.6%
I 2360
 
6.9%
a 2360
 
6.9%
N 1770
 
5.2%
o 1770
 
5.2%
G 1180
 
3.4%
l 1180
 
3.4%
i 1180
 
3.4%
Other values (17) 12980
37.9%
Common
ValueCountFrequency (%)
= 2360
22.6%
; 1770
17.0%
& 1770
17.0%
/ 1180
11.3%
? 590
 
5.7%
4 558
 
5.3%
1 498
 
4.8%
2 487
 
4.7%
3 348
 
3.3%
5 214
 
2.1%
Other values (5) 660
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 3540
 
7.9%
e 2950
 
6.6%
p 2950
 
6.6%
I 2360
 
5.3%
a 2360
 
5.3%
= 2360
 
5.3%
N 1770
 
4.0%
o 1770
 
4.0%
; 1770
 
4.0%
& 1770
 
4.0%
Other values (32) 21055
47.2%

img_name1
Text

MISSING 

Distinct584
Distinct (%)99.0%
Missing44
Missing (%)6.9%
Memory size5.1 KiB
2024-04-16T13:59:12.629008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length24
Mean length12.316949
Min length5

Characters and Unicode

Total characters7267
Distinct characters412
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)98.5%

Sample

1st row20200217_113126.jpg
2nd row28.양가손만두.jpg
3rd row평사리순두부.jpg
4th row맨인블랙.jpg
5th row최짬뽕달인.jpg
ValueCountFrequency (%)
4).jpg 9
 
1.3%
3).jpg 9
 
1.3%
1).jpg 8
 
1.2%
외부.jpg 8
 
1.2%
20200228_외부사진.jpg 5
 
0.7%
내부.jpg 4
 
0.6%
2.jpg 4
 
0.6%
간판.jpg 3
 
0.4%
2).jpg 3
 
0.4%
내부전경.jpg 3
 
0.4%
Other values (617) 623
91.8%
2024-04-16T13:59:13.055968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 614
 
8.4%
p 506
 
7.0%
g 502
 
6.9%
j 477
 
6.6%
2 314
 
4.3%
1 300
 
4.1%
0 272
 
3.7%
_ 156
 
2.1%
부 127
 
1.7%
5 124
 
1.7%
Other values (402) 3875
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2835
39.0%
Lowercase Letter 1567
21.6%
Decimal Number 1487
20.5%
Other Punctuation 618
 
8.5%
Uppercase Letter 300
 
4.1%
Connector Punctuation 156
 
2.1%
Space Separator 89
 
1.2%
Close Punctuation 87
 
1.2%
Open Punctuation 87
 
1.2%
Dash Punctuation 40
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 127
 
4.5%
내 97
 
3.4%
국 72
 
2.5%
식 57
 
2.0%
가 56
 
2.0%
수 52
 
1.8%
당 49
 
1.7%
밥 46
 
1.6%
미 40
 
1.4%
어 40
 
1.4%
Other values (353) 2199
77.6%
Lowercase Letter
ValueCountFrequency (%)
p 506
32.3%
g 502
32.0%
j 477
30.4%
n 19
 
1.2%
b 15
 
1.0%
m 15
 
1.0%
i 9
 
0.6%
f 7
 
0.4%
e 5
 
0.3%
a 3
 
0.2%
Other values (7) 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
G 91
30.3%
J 80
26.7%
P 80
26.7%
M 11
 
3.7%
I 11
 
3.7%
C 6
 
2.0%
D 5
 
1.7%
N 5
 
1.7%
S 4
 
1.3%
B 4
 
1.3%
Other values (2) 3
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 314
21.1%
1 300
20.2%
0 272
18.3%
5 124
 
8.3%
4 120
 
8.1%
3 103
 
6.9%
6 73
 
4.9%
8 73
 
4.9%
7 59
 
4.0%
9 49
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 614
99.4%
% 2
 
0.3%
& 1
 
0.2%
？ 1
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 156
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Modifier Symbol
ValueCountFrequency (%)
˸ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2835
39.0%
Common 2565
35.3%
Latin 1867
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 127
 
4.5%
내 97
 
3.4%
국 72
 
2.5%
식 57
 
2.0%
가 56
 
2.0%
수 52
 
1.8%
당 49
 
1.7%
밥 46
 
1.6%
미 40
 
1.4%
어 40
 
1.4%
Other values (353) 2199
77.6%
Latin
ValueCountFrequency (%)
p 506
27.1%
g 502
26.9%
j 477
25.5%
G 91
 
4.9%
J 80
 
4.3%
P 80
 
4.3%
n 19
 
1.0%
b 15
 
0.8%
m 15
 
0.8%
M 11
 
0.6%
Other values (19) 71
 
3.8%
Common
ValueCountFrequency (%)
. 614
23.9%
2 314
12.2%
1 300
11.7%
0 272
10.6%
_ 156
 
6.1%
5 124
 
4.8%
4 120
 
4.7%
3 103
 
4.0%
89
 
3.5%
) 87
 
3.4%
Other values (10) 386
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4430
61.0%
Hangul 2835
39.0%
Modifier Letters 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 614
13.9%
p 506
11.4%
g 502
11.3%
j 477
10.8%
2 314
 
7.1%
1 300
 
6.8%
0 272
 
6.1%
_ 156
 
3.5%
5 124
 
2.8%
4 120
 
2.7%
Other values (37) 1045
23.6%
Hangul
ValueCountFrequency (%)
부 127
 
4.5%
내 97
 
3.4%
국 72
 
2.5%
식 57
 
2.0%
가 56
 
2.0%
수 52
 
1.8%
당 49
 
1.7%
밥 46
 
1.6%
미 40
 
1.4%
어 40
 
1.4%
Other values (353) 2199
77.6%
Modifier Letters
ValueCountFrequency (%)
˸ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

img_file2
Text

MISSING 

Distinct339
Distinct (%)100.0%
Missing295
Missing (%)46.5%
Memory size5.1 KiB
2024-04-16T13:59:13.300872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length76
Mean length74.660767
Min length3

Characters and Unicode

Total characters25310
Distinct characters42
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

Unique339 ?
Unique (%)100.0%

Sample

1st row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4533&amp;fileTy=IMG&amp;fileNo=2
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4532&amp;fileTy=IMG&amp;fileNo=2
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4531&amp;fileTy=IMG&amp;fileNo=2
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4542&amp;fileTy=IMG&amp;fileNo=2
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4541&amp;fileTy=IMG&amp;fileNo=2
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=4547&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=2200&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=29&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1834&amp;filety=img&amp;fileno=3 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1845&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1859&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=2221&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1870&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1892&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1902&amp;filety=img&amp;fileno=1 1
 
0.3%
Other values (329) 329
97.1%
2024-04-16T13:59:13.672671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 2010
 
7.9%
e 1675
 
6.6%
p 1675
 
6.6%
I 1340
 
5.3%
a 1340
 
5.3%
= 1340
 
5.3%
N 1005
 
4.0%
o 1005
 
4.0%
; 1005
 
4.0%
& 1005
 
4.0%
Other values (32) 11910
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13735
54.3%
Uppercase Letter 5695
22.5%
Other Punctuation 3015
 
11.9%
Decimal Number 1525
 
6.0%
Math Symbol 1340
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 2010
14.6%
e 1675
12.2%
p 1675
12.2%
a 1340
9.8%
o 1005
 
7.3%
l 670
 
4.9%
i 670
 
4.9%
f 670
 
4.9%
c 670
 
4.9%
g 670
 
4.9%
Other values (7) 2680
19.5%
Uppercase Letter
ValueCountFrequency (%)
I 1340
23.5%
N 1005
17.6%
G 670
11.8%
M 670
11.8%
T 335
 
5.9%
L 335
 
5.9%
U 335
 
5.9%
D 335
 
5.9%
K 335
 
5.9%
A 335
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 336
22.0%
2 285
18.7%
4 266
17.4%
3 162
10.6%
5 118
 
7.7%
6 82
 
5.4%
8 75
 
4.9%
0 70
 
4.6%
7 67
 
4.4%
9 64
 
4.2%
Other Punctuation
ValueCountFrequency (%)
; 1005
33.3%
& 1005
33.3%
/ 670
22.2%
? 335
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 1340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19430
76.8%
Common 5880
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 2010
 
10.3%
e 1675
 
8.6%
p 1675
 
8.6%
I 1340
 
6.9%
a 1340
 
6.9%
N 1005
 
5.2%
o 1005
 
5.2%
G 670
 
3.4%
l 670
 
3.4%
i 670
 
3.4%
Other values (17) 7370
37.9%
Common
ValueCountFrequency (%)
= 1340
22.8%
; 1005
17.1%
& 1005
17.1%
/ 670
11.4%
1 336
 
5.7%
? 335
 
5.7%
2 285
 
4.8%
4 266
 
4.5%
3 162
 
2.8%
5 118
 
2.0%
Other values (5) 358
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 2010
 
7.9%
e 1675
 
6.6%
p 1675
 
6.6%
I 1340
 
5.3%
a 1340
 
5.3%
= 1340
 
5.3%
N 1005
 
4.0%
o 1005
 
4.0%
; 1005
 
4.0%
& 1005
 
4.0%
Other values (32) 11910
47.1%

img_name2
Text

MISSING 

Distinct336
Distinct (%)99.1%
Missing295
Missing (%)46.5%
Memory size5.1 KiB
2024-04-16T13:59:13.966249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length13.091445
Min length6

Characters and Unicode

Total characters4438
Distinct characters345
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)98.8%

Sample

1st row20190315_144221.jpg
2nd row금호식당내부.jpg
3rd row송도추어탕내부.jpg
4th row20190315_145424.jpg
5th row20190211_142851.jpg
ValueCountFrequency (%)
내부.jpg 8
 
2.0%
메뉴.jpg 6
 
1.5%
1.jpg 5
 
1.3%
2021-01-05 4
 
1.0%
10:55:32 4
 
1.0%
외부.jpg 4
 
1.0%
가격표.jpg 3
 
0.8%
2).jpg 3
 
0.8%
외부전경.jpg 3
 
0.8%
전경.jpg 2
 
0.5%
Other values (355) 357
89.5%
2024-04-16T13:59:14.391638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 361
 
8.1%
g 294
 
6.6%
p 290
 
6.5%
j 288
 
6.5%
1 244
 
5.5%
0 173
 
3.9%
2 172
 
3.9%
부 108
 
2.4%
_ 108
 
2.4%
5 95
 
2.1%
Other values (335) 2305
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1725
38.9%
Decimal Number 979
22.1%
Lowercase Letter 899
20.3%
Other Punctuation 369
 
8.3%
Uppercase Letter 173
 
3.9%
Connector Punctuation 108
 
2.4%
Space Separator 60
 
1.4%
Open Punctuation 50
 
1.1%
Close Punctuation 49
 
1.1%
Dash Punctuation 26
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 108
 
6.3%
외 86
 
5.0%
국 41
 
2.4%
식 39
 
2.3%
가 33
 
1.9%
당 32
 
1.9%
수 28
 
1.6%
어 28
 
1.6%
밥 27
 
1.6%
리 26
 
1.5%
Other values (294) 1277
74.0%
Lowercase Letter
ValueCountFrequency (%)
g 294
32.7%
p 290
32.3%
j 288
32.0%
f 5
 
0.6%
e 5
 
0.6%
n 4
 
0.4%
s 3
 
0.3%
i 3
 
0.3%
a 2
 
0.2%
d 1
 
0.1%
Other values (4) 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 244
24.9%
0 173
17.7%
2 172
17.6%
5 95
 
9.7%
3 69
 
7.0%
4 62
 
6.3%
6 52
 
5.3%
7 40
 
4.1%
8 39
 
4.0%
9 33
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
G 53
30.6%
J 46
26.6%
P 46
26.6%
M 8
 
4.6%
I 7
 
4.0%
D 3
 
1.7%
N 3
 
1.7%
S 3
 
1.7%
C 3
 
1.7%
A 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 361
97.8%
: 8
 
2.2%
Connector Punctuation
ValueCountFrequency (%)
_ 108
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1725
38.9%
Common 1641
37.0%
Latin 1072
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 108
 
6.3%
외 86
 
5.0%
국 41
 
2.4%
식 39
 
2.3%
가 33
 
1.9%
당 32
 
1.9%
수 28
 
1.6%
어 28
 
1.6%
밥 27
 
1.6%
리 26
 
1.5%
Other values (294) 1277
74.0%
Latin
ValueCountFrequency (%)
g 294
27.4%
p 290
27.1%
j 288
26.9%
G 53
 
4.9%
J 46
 
4.3%
P 46
 
4.3%
M 8
 
0.7%
I 7
 
0.7%
f 5
 
0.5%
e 5
 
0.5%
Other values (14) 30
 
2.8%
Common
ValueCountFrequency (%)
. 361
22.0%
1 244
14.9%
0 173
10.5%
2 172
10.5%
_ 108
 
6.6%
5 95
 
5.8%
3 69
 
4.2%
4 62
 
3.8%
60
 
3.7%
6 52
 
3.2%
Other values (7) 245
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2713
61.1%
Hangul 1725
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 361
13.3%
g 294
10.8%
p 290
10.7%
j 288
10.6%
1 244
 
9.0%
0 173
 
6.4%
2 172
 
6.3%
_ 108
 
4.0%
5 95
 
3.5%
3 69
 
2.5%
Other values (31) 619
22.8%
Hangul
ValueCountFrequency (%)
부 108
 
6.3%
외 86
 
5.0%
국 41
 
2.4%
식 39
 
2.3%
가 33
 
1.9%
당 32
 
1.9%
수 28
 
1.6%
어 28
 
1.6%
밥 27
 
1.6%
리 26
 
1.5%
Other values (294) 1277
74.0%

idx
Real number (ℝ)

MISSING 

Distinct626
Distinct (%)100.0%
Missing8
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean3059.4649
Minimum5
Maximum4636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2024-04-16T13:59:14.517026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile89.25
Q11341.25
median4249
Q34468.75
95-th percentile4601.75
Maximum4636
Range4631
Interquartile range (IQR)3127.5

Descriptive statistics

Standard deviation1776.1936
Coefficient of variation (CV)0.58055697
Kurtosis-1.1688743
Mean3059.4649
Median Absolute Deviation (MAD)342.5
Skewness-0.75979211
Sum1915225
Variance3154863.9
MonotonicityNot monotonic
2024-04-16T13:59:14.983075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 1
 
0.2%
79 1
 
0.2%
77 1
 
0.2%
76 1
 
0.2%
74 1
 
0.2%
72 1
 
0.2%
71 1
 
0.2%
56 1
 
0.2%
82 1
 
0.2%
81 1
 
0.2%
Other values (616) 616
97.2%
(Missing) 8
 
1.3%
ValueCountFrequency (%)
5 1
0.2%
6 1
0.2%
11 1
0.2%
22 1
0.2%
25 1
0.2%
29 1
0.2%
30 1
0.2%
31 1
0.2%
33 1
0.2%
35 1
0.2%
ValueCountFrequency (%)
4636 1
0.2%
4635 1
0.2%
4634 1
0.2%
4633 1
0.2%
4632 1
0.2%
4631 1
0.2%
4630 1
0.2%
4629 1
0.2%
4627 1
0.2%
4626 1
0.2%

last_load_dttm
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing8
Missing (%)1.3%
Memory size5.1 KiB
Minimum2021-01-05 10:55:32
Maximum2021-01-05 10:55:32
2024-04-16T13:59:15.080814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:59:15.162010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-16T13:59:03.855563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:59:03.688814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:59:03.949410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:59:03.766387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-16T13:59:15.230674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cn_cdcnparkng_atidx
cn_cd1.0001.0000.6790.179
cn1.0001.0000.7940.182
parkng_at0.6790.7941.0000.120
idx0.1790.1820.1201.000
2024-04-16T13:59:15.313452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
parkng_atcn
parkng_at1.0000.712
cn0.7121.000
2024-04-16T13:59:15.388150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cn_cdidxcnparkng_at
cn_cd1.0000.2080.9970.710
idx0.2081.0000.1160.119
cn0.9970.1161.0000.712
parkng_at0.7100.1190.7121.000

Missing values

2024-04-16T13:59:04.304739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T13:59:04.506515image/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.
2024-04-16T13:59:04.687685image/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

sjm_nmadrestelcn_cdcnlocale_cdlocaleintrcnparkng_atbsn_timecreat_dtimg_file1img_name1img_file2img_name2idxlast_load_dttm
0대한곰탕김선경(47253) 부산광역시 부산진구 새싹로28번길 29, 옛날아우내순대 (부전동)051-805-8225602음식점135부전1동<p><br style="clear: both;">&nbsp;<!--StartFragment--></p><p class="0" style="mso-pagination: none; mso-padding-alt: 0pt 0pt 0pt 0pt;"><p class="0" style="mso-pagination: none; mso-padding-alt: 0pt 0pt 0pt 0pt;"><span style="font-family: 휴먼명조; font-size: 12pt; mso-fareast-font-family: 휴먼명조;"><br></span></p><!--[data-hwpjson]{ "documentPr": { "di": "", "dp": { "dn": "test.hwp", "ta": 1, "d1": 5, "d2": 0, "dv": 5, "dr": 1, "do": 1, "vj": "1.0", "an": "Hancom Office Hangul", "av": "9, 1, 1, 4673", "ao": "WIN", "ab": "32", "ar": "LE", "as": "Windows_Unknown_Version" }, "dis": false, "ds": { "ti": "", "la": "ko", "cr": "user", "su": "", "de": "", "cd": "2020-07-08T14:31:33.293Z", "md": "2020-07-08T14:31:33.324Z", "pd": "1601-01-01T09:00:00.000Z", "ke": "" } }, "dh": { "do": { "pa": 1, "fo": 1, "en": 1, "pi": 1, "tb": 1, "eq": 1 }, "fo": [ ], "cd": { "tp": 0, "lc": { "af": false, "ui": false, "fu": false, "dn": false, "ul": false, "el": false, "at": false, "tq": fN10:00-22:0020190424014900/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4503&amp;fileTy=IMG&amp;fileNo=220200217_113126.jpg<NA><NA>45032021-01-05 10:55:32
1양가손만두양윤석(47323) 부산광역시 부산진구 가야대로482번길 16, 양가손만두 (개금동)051-894-9870602음식점117개금1동<p>전통시장내 업소로 저렴하게 식자재를 구입하고 위생업체에 정기적인 관리로 항상 청결하고 저렴한 음식 제공<img alt="28.양가손만두.jpg" src="/ImagePrint.do?dir=smartEditor&amp;savename=f55b98d284f44382a0b42e1d98d54ebb&amp;realname=28.양가손만두.jpg&amp;fileext=jpg&amp;filetype=image/pjpeg&amp;filesize=4390384"><br style="clear: both;">&nbsp;</p>N09:30-20:0020190424014230/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4502&amp;fileTy=IMG&amp;fileNo=128.양가손만두.jpg<NA><NA>45022021-01-05 10:55:32
2평사리순두부박동영(47601) 부산광역시 연제구 중앙천로19번길 40 (연산동)051-867-2988602음식점273연산2동<p>&nbsp;</p>N11시~21시20190422035851/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4501&amp;fileTy=IMG&amp;fileNo=1평사리순두부.jpg<NA><NA>45012021-01-05 10:55:32
3맨인블랙이유진(47558) 부산광역시 연제구 과정로191번가길 62 (연산동)051-761-0833603이미용279연산9동<p>&nbsp;</p>N10시~20시20190422035606/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4500&amp;fileTy=IMG&amp;fileNo=1맨인블랙.jpg<NA><NA>45002021-01-05 10:55:32
4최짬뽕달인김기분(47588) 부산광역시 연제구 과정로 105-7 (연산동)051-757-3183602음식점279연산9동<p>&nbsp;</p>Y11시~21시20190422035428/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4499&amp;fileTy=IMG&amp;fileNo=1최짬뽕달인.jpg<NA><NA>44992021-01-05 10:55:32
5포항식당이경자(47555) 부산광역시 연제구 연동로7번길 12 (연산동)051-867-1713602음식점278연산8동<p>&nbsp;</p>N11시~21시20190422035241/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4498&amp;fileTy=IMG&amp;fileNo=1포항식당.jpg<NA><NA>44982021-01-05 10:55:32
6유진모터스윤혜경(47610) 부산광역시 연제구 마곡천로 2 (연산동)051-758-2046676기타277연산6동<p>&nbsp;</p>Y09시~19시20190422035102/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4497&amp;fileTy=IMG&amp;fileNo=1유진모터스.jpg<NA><NA>44972021-01-05 10:55:32
7보거스이영신(47594) 부산광역시 연제구 배산로 22 (연산동)010-4561-4600602음식점277연산6동<p>&nbsp;</p>N17시~21시20190422034907/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4496&amp;fileTy=IMG&amp;fileNo=1보거스.jpg<NA><NA>44962021-01-05 10:55:32
8전설의노가리이윤희(47597) 부산광역시 연제구 월드컵대로 109 (연산동)051-912-0609602음식점276연산5동<p>&nbsp;</p>N17시~24시20190422034550/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4495&amp;fileTy=IMG&amp;fileNo=1전설의노가리.jpg<NA><NA>44952021-01-05 10:55:32
9홍림헤어라인최백랑(47598) 부산광역시 연제구 월드컵대로73번길 51 (연산동, 홍림로얄빌)051-863-2003603이미용273연산2동<p>&nbsp;</p>N11시~20시20190422034418/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4494&amp;fileTy=IMG&amp;fileNo=1홍림헤어라인.jpg<NA><NA>44942021-01-05 10:55:32
sjm_nmadrestelcn_cdcnlocale_cdlocaleintrcnparkng_atbsn_timecreat_dtimg_file1img_name1img_file2img_name2idxlast_load_dttm
624파네토네과자점임미숙(46531) 부산광역시 북구 금곡대로 322 (화명동)051-342-7127602음식점184화명1동좋은 재료를 아낌없이 사용해 저렴하지만 맛있는 빵을 제공함<p>&nbsp;</p>N09:00~23:0020170308021335/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4283&amp;fileTy=IMG&amp;fileNo=2%C2˸%C0.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4283&amp;fileTy=IMG&amp;fileNo=1fff.jpg42832021-01-05 10:55:32
625웰빙장터뷔페송동남(46580) 부산광역시 북구 낙동대로1766번길 33 (구포동)051-341-3230602음식점170구포1동4,900원에 비빔밥, 보리밥, 짜장면, 짬뽕, 밀면 등 다양한 메뉴를 맛볼 수 있음<p>&nbsp;</p>N07:00~21:0020170308015233/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4282&amp;fileTy=IMG&amp;fileNo=2DSCN2078.JPG/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4282&amp;fileTy=IMG&amp;fileNo=1낙동대로1766번길 부산광역시 북구 구포동 2014.5.jpg42822021-01-05 10:55:32
626오별난멸치국수박입분(48096) 부산광역시 해운대구 좌동순환로 503, 웰비치 101호 (중동)051-747-5711602음식점374중1동<p>&nbsp;</p>N주간, 저녁20170308104740/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4281&amp;fileTy=IMG&amp;fileNo=1오별난사진1-정면.jpg<NA><NA>42812021-01-05 10:55:32
627다다생모밀박미영(48027) 부산광역시 해운대구 재반로226번길 17 (반여동)051-9699-0144602음식점357반여2동<p>&nbsp;</p>N주간, 저녁20170308104259/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4279&amp;fileTy=IMG&amp;fileNo=1사본 -IMG_3695-다다생모밀-정면.jpg<NA><NA>42792021-01-05 10:55:32
628류박사종합세탁권용진(49235) 부산광역시 서구 대영로 40 (서대신동1가)051-253-0972676기타238서대신동1가<p>직접세탁을 하니 깨끗하다고 주위에 소문이 자자함. 신발세탁도 가능</p>N09:00~21:0020170220045043/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4278&amp;fileTy=IMG&amp;fileNo=2류박사1.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4278&amp;fileTy=IMG&amp;fileNo=1류박사.jpg42782021-01-05 10:55:32
629배부른밥집남회원(46574) 부산광역시 북구 의성로115번길 62 (덕천동)051-338-3222602음식점178덕천동<p>점심시간(15시까지) 가정식 뷔페로 무한리필 가능하며, 푸짐한 반찬과 국물 제공&nbsp;</p>N11:00~22:0020160930053757/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4275&amp;fileTy=IMG&amp;fileNo=31470299854965.bmp/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4275&amp;fileTy=IMG&amp;fileNo=2메뉴.jpg42752021-01-05 10:55:32
630행복한 칼짜장박희자(49509) 부산광역시 사하구 다대로277번길 21 (장림동)051-265-2090602음식점222장림2동<p>&nbsp;</p>N11:00~21:0020160929013706/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4274&amp;fileTy=IMG&amp;fileNo=2행복한칼짜장 (4).JPG/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4274&amp;fileTy=IMG&amp;fileNo=1행복한칼짜장.JPG42742021-01-05 10:55:32
631밥만퍼반찬정대윤(48055) 부산광역시 해운대구 재반로 81-16 (재송동)051-784-2504676기타366재송1동<p>내 가족이 먹는다 생각하고 정성을 다해 요리한다.</p>N주간20160927113836/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4269&amp;fileTy=IMG&amp;fileNo=1포맷변환_06092616283322251570580-정면 - 복사본.jpg<NA><NA>42692021-01-05 10:55:32
632단골식당남선심(48922) 부산광역시 중구 동광길 193 (영주동) 609-20051-441-8540602음식점340영주1동<p>신선한 국내산 식재료 사용하고 친절하여 손님이 많이 찾아옴&nbsp;</p>N09:00~22:0020160926063341/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4268&amp;fileTy=IMG&amp;fileNo=1IMG_6096.JPG<NA><NA>42682021-01-05 10:55:32
633동경식당송옥이(48933) 부산광역시 중구 대청로99번길 22 (대청동2가) 1-9051-469-7162602음식점341영주2동<p>저렴하고 신선한 국내산 식재료를 사용&nbsp;</p>N0900~210020160926062618/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4267&amp;fileTy=IMG&amp;fileNo=1IMG_6082.JPG<NA><NA>42672021-01-05 10:55:32