Overview

Dataset statistics

Number of variables18
Number of observations634
Missing cells715
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
Categorical3

Alerts

parkng_at is highly overall correlated with cn_cd and 2 other fieldsHigh correlation
last_load_dttm is highly overall correlated with cn_cd and 3 other fieldsHigh correlation
cn is highly overall correlated with cn_cd and 2 other fieldsHigh correlation
cn_cd is highly overall correlated with cn and 2 other fieldsHigh correlation
idx is highly overall correlated with last_load_dttmHigh correlation
cn is highly imbalanced (66.2%)Imbalance
last_load_dttm is highly imbalanced (90.2%)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

Reproduction

Analysis started2024-04-16 04:58:32.731588
Analysis finished2024-04-16 04:58:35.258606
Duration2.53 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
2024-04-16T13:58:35.403363image/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 row우정
2nd row충남반점
3rd row토담식당
4th row태평양숯불갈비
5th row헤어짱
ValueCountFrequency (%)
손칼국수 4
 
0.6%
대가호 2
 
0.3%
칼국수 2
 
0.3%
카페 2
 
0.3%
정원식당 2
 
0.3%
까꼬뽀꼬 2
 
0.3%
우정분식 2
 
0.3%
구포국수 2
 
0.3%
시골집 2
 
0.3%
행복한오리 2
 
0.3%
Other values (651) 654
96.7%
2024-04-16T13:58:35.753311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 101
 
3.0%
식 74
 
2.2%
수 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%
식 74
 
2.3%
수 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%
6 2
 
4.9%
5 2
 
4.9%
9 1
 
2.4%
8 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
b 1
16.7%
o 1
16.7%
g 1
16.7%
u 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
, 1
 
20.0%
. 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
H 1
25.0%
C 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%
식 74
 
2.3%
수 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%
H 1
10.0%
b 1
10.0%
o 1
10.0%
g 1
10.0%
u 1
10.0%
C 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%
식 74
 
2.3%
수 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
2024-04-16T13:58:36.086847image/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 row김창모
2nd row김종남
3rd row윤숙희
4th row임갑순
5th row백진희
ValueCountFrequency (%)
이영자 3
 
0.5%
김원자 2
 
0.3%
2
 
0.3%
이성희 2
 
0.3%
이영우 2
 
0.3%
이명호 2
 
0.3%
김화옥 2
 
0.3%
김영식 2
 
0.3%
유인숙 2
 
0.3%
김정희 2
 
0.3%
Other values (610) 616
96.7%
2024-04-16T13:58:36.563717image/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%
2 6
14.0%
1 6
14.0%
5 6
14.0%
0 5
11.6%
4 3
 
7.0%
6 3
 
7.0%
7 2
 
4.7%
8 2
 
4.7%
9 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 (%)
3 8
13.3%
- 8
13.3%
2 6
10.0%
1 6
10.0%
* 6
10.0%
5 6
10.0%
0 5
8.3%
4 3
 
5.0%
6 3
 
5.0%
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 (%)
3 8
13.3%
- 8
13.3%
2 6
10.0%
1 6
10.0%
* 6
10.0%
5 6
10.0%
0 5
8.3%
4 3
 
5.0%
6 3
 
5.0%
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
2024-04-16T13:58:36.947378image/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(47506) 부산광역시 연제구 교대로 9 (거제동)
2nd row(47551) 부산광역시 연제구 반송로 50-8 (연산동)
3rd row(47552) 부산광역시 연제구 과정로 335-1 (연산동)
4th row(46985) 부산광역시 사상구 사상로 77 (감전동)
5th row(47051) 부산광역시 사상구 대동로 84 (학장동, 학장무학아파트) 무학아파트 상가 135호
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%
2024-04-16T13:58:37.670940image/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
2024-04-16T13:58:37.902325image/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 row051-504-3072
2nd row010-7778-8704
3rd row051-851-0006
4th row051-328-8463
5th row051-316-3150
ValueCountFrequency (%)
음식점 4
 
0.6%
010-0000-0000 4
 
0.6%
051-255-8336 2
 
0.3%
000-000-0000 2
 
0.3%
051-756-0815 2
 
0.3%
051-404-5263 1
 
0.2%
051-416-5553 1
 
0.2%
051-244-2417 1
 
0.2%
051-403-7680 1
 
0.2%
051-413-1376 1
 
0.2%
Other values (610) 610
97.0%
2024-04-16T13:58:38.349238image/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
2024-04-16T13:58:38.511166image/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
2024-04-16T13:58:38.630810image/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%
173 1
 
0.2%
182 1
 
0.2%
329 1
 
0.2%
343 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 row음식점
5th row이미용

Common Values

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

Length

2024-04-16T13:58:38.774725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:58:38.952514image/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%
구포동 1
 
0.2%
만덕동 1
 
0.2%
보수동2가 1
 
0.2%
중앙동1가 1
 
0.2%

locale_cd
Text

Distinct198
Distinct (%)31.4%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:39.324296image/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 row271
2nd row280
3rd row280
4th row188
5th row203
ValueCountFrequency (%)
59 22
 
3.2%
280 19
 
2.7%
45 17
 
2.4%
135 17
 
2.4%
271 14
 
2.0%
188 13
 
1.9%
192 12
 
1.7%
95 11
 
1.6%
70 10
 
1.4%
216 10
 
1.4%
Other values (235) 550
79.1%
2024-04-16T13:58:39.803910image/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%
고 6
 
2.9%
지 6
 
2.9%
음 6
 
2.9%
년 5
 
2.4%
해 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%
고 6
 
2.9%
지 6
 
2.9%
음 6
 
2.9%
년 5
 
2.4%
해 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%
고 6
 
2.9%
지 6
 
2.9%
음 6
 
2.9%
년 5
 
2.4%
해 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
2024-04-16T13:58:40.045868image/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 row거제동
2nd row연산동
3rd row연산동
4th row감전동
5th row학장동
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%
당리동 10
 
1.6%
Other values (186) 485
77.0%
2024-04-16T13:58:40.418198image/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%
6 3
 
0.9%
N 3
 
0.9%
9 2
 
0.6%
8 1
 
0.3%
Y 1
 
0.3%

intrcn
Text

Distinct562
Distinct (%)89.2%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2024-04-16T13:58:40.663674image/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 row친절하며, 무우김치와 배추김치를 직접 담궈 드실만큼 들어드시게 함.<p>&nbsp;</p>
2nd row신선한 재료를 직접 구입하여 요리제공<p>&nbsp;</p>
3rd row신선한 재료를 사용하여 요리 제공<p>&nbsp;</p>
4th row<table class="__se_tbl_ext" style="width: 304px; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col style="width: 304px;"><tbody><tr style="height: 53px;"><td style="border: 0px windowtext; border-image: none; width: 304px; height: 53px; background-color: transparent;"><span><font face="맑은 고딕" size="2">&nbsp;인근 관공서와 공장 주민을 상대로 저렴한 가격으로 운영</font></span></td></tr></tbody></table><p>&nbsp;</p>
5th row<table class="__se_tbl_ext" style="width: 304px; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col style="width: 304px;"><tbody><tr style="height: 53px;"><td style="border: 0px windowtext; border-image: none; width: 304px; height: 53px; background-color: transparent;"><p><span><font face="맑은 고딕" size="2">&nbsp;</font></span><font face="맑은 고딕"><font size="2">아파트 상가에 위치, 단골 손님이 많아 </font></font><font face="맑은 고딕"><font size="2">박리다매로 </font><font size="2"> 운영</font><span><font size="2">&nbsp;</font></span></font>&nbsp;</p></td></tr></tbody></table><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%
size="3 41
 
0.5%
가격을 41
 
0.5%
Other values (3286) 7275
92.2%
2024-04-16T13:58:41.040947image/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%
I 7
 
5.5%
M 7
 
5.5%
P 7
 
5.5%
A 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

2024-04-16T13:58:41.181289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:58:41.276425image/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
2024-04-16T13:58:41.514459image/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 row10:00~20:30
2nd row10:00~20:40
3rd row11:00~21:00
4th row11:00 ~ 21:00
5th row09:30-20:00
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%
10:00~21:00 23
 
2.3%
11:00~22:00 23
 
2.3%
일요일 22
 
2.2%
Other values (261) 645
63.8%
2024-04-16T13:58:41.916248image/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%
시 61
10.6%
무 61
10.6%
휴 61
10.6%
요 57
9.9%
매 35
 
6.1%
주 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%
f 8
 
2.3%
i 8
 
2.3%
l 8
 
2.3%
g 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%
G 8
11.8%
M 8
11.8%
D 4
 
5.9%
K 4
 
5.9%
A 4
 
5.9%
L 4
 
5.9%
U 4
 
5.9%
T 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%
시 61
10.6%
무 61
10.6%
휴 61
10.6%
요 57
9.9%
매 35
 
6.1%
주 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%
o 12
 
2.9%
N 12
 
2.9%
r 9
 
2.2%
f 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%
시 61
10.6%
무 61
10.6%
휴 61
10.6%
요 57
9.9%
매 35
 
6.1%
주 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
2024-04-16T13:58:42.165592image/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 row20160727113431
2nd row20160726060610
3rd row20160726054623
4th row20160726025651
5th row20160726025143
ValueCountFrequency (%)
20130221024508 148
 
23.5%
20190509060706 1
 
0.2%
20160727113431 1
 
0.2%
20180322105840 1
 
0.2%
20180322051048 1
 
0.2%
20180306060058 1
 
0.2%
20180306060259 1
 
0.2%
20180306060947 1
 
0.2%
20180309104120 1
 
0.2%
20180309105618 1
 
0.2%
Other values (473) 473
75.1%
2024-04-16T13:58:42.788393image/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 (%)
전 2
 
6.7%
부 2
 
6.7%
내 2
 
6.7%
국 2
 
6.7%
포 1
 
3.3%
밥 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 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 (%)
g 4
33.3%
p 4
33.3%
j 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 (%)
전 2
 
6.7%
부 2
 
6.7%
내 2
 
6.7%
국 2
 
6.7%
포 1
 
3.3%
밥 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 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 (%)
g 4
33.3%
p 4
33.3%
j 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 (%)
전 2
 
6.7%
부 2
 
6.7%
내 2
 
6.7%
국 2
 
6.7%
포 1
 
3.3%
밥 1
 
3.3%
집 1
 
3.3%
보 1
 
3.3%
뚱 1
 
3.3%
당 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
2024-04-16T13:58:43.063107image/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=4232&amp;fileTy=IMG&amp;fileNo=1
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4231&amp;fileTy=IMG&amp;fileNo=1
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4230&amp;fileTy=IMG&amp;fileNo=1
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4228&amp;fileTy=IMG&amp;fileNo=2
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4227&amp;fileTy=IMG&amp;fileNo=2
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=4326&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4399&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=3940&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=219&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4553&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=3961&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=3942&amp;filety=img&amp;fileno=1 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4043&amp;filety=img&amp;fileno=2 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4040&amp;filety=img&amp;fileno=3 1
 
0.2%
comm/getimage?srvcid=mulgakind&amp;upperno=4232&amp;filety=img&amp;fileno=1 1
 
0.2%
Other values (580) 580
98.3%
2024-04-16T13:58:43.417235image/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%
T 590
 
5.9%
L 590
 
5.9%
U 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%
7 124
 
4.5%
8 124
 
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
2024-04-16T13:58:43.659564image/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 row우정.jpg
2nd row충남반점사진.jpg
3rd row토담식당 사진.jpg
4th row20160704(태평양숯불갈비)-정식.jpg
5th row20160630(헤어짱2).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%
2.jpg 4
 
0.6%
내부.jpg 4
 
0.6%
내부전경.jpg 3
 
0.4%
2).jpg 3
 
0.4%
간판.jpg 3
 
0.4%
Other values (617) 623
91.8%
2024-04-16T13:58:44.029254image/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%
Open Punctuation 87
 
1.2%
Close 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%
m 15
 
1.0%
b 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%
P 80
26.7%
J 80
26.7%
I 11
 
3.7%
M 11
 
3.7%
C 6
 
2.0%
N 5
 
1.7%
D 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%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close 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%
P 80
 
4.3%
J 80
 
4.3%
n 19
 
1.0%
m 15
 
0.8%
b 15
 
0.8%
I 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%
None 1
 
< 0.1%
Modifier Letters 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%
None
ValueCountFrequency (%)
？ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˸ 1
100.0%

img_file2
Text

MISSING 

Distinct339
Distinct (%)100.0%
Missing295
Missing (%)46.5%
Memory size5.1 KiB
2024-04-16T13:58:44.269893image/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=4228&amp;fileTy=IMG&amp;fileNo=1
2nd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4239&amp;fileTy=IMG&amp;fileNo=5
3rd row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4238&amp;fileTy=IMG&amp;fileNo=5
4th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4160&amp;fileTy=IMG&amp;fileNo=5
5th row/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4152&amp;fileTy=IMG&amp;fileNo=1
ValueCountFrequency (%)
comm/getimage?srvcid=mulgakind&amp;upperno=4329&amp;filety=img&amp;fileno=5 1
 
0.3%
324 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1332&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1369&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1422&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1426&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1787&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1791&amp;filety=img&amp;fileno=2 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=1520&amp;filety=img&amp;fileno=1 1
 
0.3%
comm/getimage?srvcid=mulgakind&amp;upperno=384&amp;filety=img&amp;fileno=1 1
 
0.3%
Other values (329) 329
97.1%
2024-04-16T13:58:44.619407image/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%
r 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
2024-04-16T13:58:44.836663image/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 row20160704(태평양숯불갈비-외부).jpg
2nd row돈까스로5.jpg
3rd row삼세랑8.jpg
4th row왔다식당 1.JPG
5th row엘림.jpg
ValueCountFrequency (%)
내부.jpg 8
 
2.0%
메뉴.jpg 6
 
1.5%
1.jpg 5
 
1.3%
2021-03-01 4
 
1.0%
05:29:03 4
 
1.0%
외부.jpg 4
 
1.0%
가격표.jpg 3
 
0.8%
외부전경.jpg 3
 
0.8%
2).jpg 3
 
0.8%
전경.jpg 2
 
0.5%
Other values (355) 357
89.5%
2024-04-16T13:58:45.183501image/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%
1 240
 
5.4%
0 177
 
4.0%
2 172
 
3.9%
_ 108
 
2.4%
부 108
 
2.4%
5 87
 
2.0%
Other values (335) 2313
52.1%

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%
어 28
 
1.6%
수 28
 
1.6%
밥 27
 
1.6%
미 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%
i 3
 
0.3%
s 3
 
0.3%
a 2
 
0.2%
o 1
 
0.1%
Other values (4) 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 240
24.5%
0 177
18.1%
2 172
17.6%
5 87
 
8.9%
3 73
 
7.5%
4 62
 
6.3%
6 52
 
5.3%
7 40
 
4.1%
8 39
 
4.0%
9 37
 
3.8%
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%
S 3
 
1.7%
C 3
 
1.7%
N 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%
어 28
 
1.6%
수 28
 
1.6%
밥 27
 
1.6%
미 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%
1 240
14.6%
0 177
10.8%
2 172
10.5%
_ 108
 
6.6%
5 87
 
5.3%
3 73
 
4.4%
4 62
 
3.8%
60
 
3.7%
6 52
 
3.2%
Other values (7) 249
15.2%

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%
1 240
 
8.8%
0 177
 
6.5%
2 172
 
6.3%
_ 108
 
4.0%
5 87
 
3.2%
3 73
 
2.7%
Other values (31) 623
23.0%
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%
어 28
 
1.6%
수 28
 
1.6%
밥 27
 
1.6%
미 26
 
1.5%
Other values (294) 1277
74.0%

idx
Real number (ℝ)

HIGH CORRELATION  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
2024-04-16T13:58:45.313670image/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
2024-04-16T13:58:45.426194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 1
 
0.2%
207 1
 
0.2%
206 1
 
0.2%
202 1
 
0.2%
199 1
 
0.2%
198 1
 
0.2%
196 1
 
0.2%
194 1
 
0.2%
188 1
 
0.2%
215 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
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2021-03-01 05:29:03
626 
<NA>
 
8

Length

Max length19
Median length19
Mean length18.810726
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-01 05:29:03
2nd row2021-03-01 05:29:03
3rd row2021-03-01 05:29:03
4th row2021-03-01 05:29:03
5th row2021-03-01 05:29:03

Common Values

ValueCountFrequency (%)
2021-03-01 05:29:03 626
98.7%
<NA> 8
 
1.3%

Length

2024-04-16T13:58:45.537928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:58:45.630674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-01 626
49.7%
05:29:03 626
49.7%
na 8
 
0.6%

Interactions

2024-04-16T13:58:34.429898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:34.263366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:34.511983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:58:34.344806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-16T13:58:45.686923image/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
2024-04-16T13:58:45.784651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
parkng_atlast_load_dttmcn
parkng_at1.0001.0000.712
last_load_dttm1.0001.0001.000
cn0.7121.0001.000
2024-04-16T13:58:45.873591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cn_cdidxcnparkng_atlast_load_dttm
cn_cd1.0000.2080.9970.7101.000
idx0.2081.0000.1160.1191.000
cn0.9970.1161.0000.7121.000
parkng_at0.7100.1190.7121.0001.000
last_load_dttm1.0001.0001.0001.0001.000

Missing values

2024-04-16T13:58:34.630346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T13:58:34.865081image/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.
2024-04-16T13:58:35.102544image/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
0우정김창모(47506) 부산광역시 연제구 교대로 9 (거제동)051-504-3072602음식점271거제동친절하며, 무우김치와 배추김치를 직접 담궈 드실만큼 들어드시게 함.<p>&nbsp;</p>N10:00~20:3020160727113431/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4232&amp;fileTy=IMG&amp;fileNo=1우정.jpg<NA><NA>42322021-03-01 05:29:03
1충남반점김종남(47551) 부산광역시 연제구 반송로 50-8 (연산동)010-7778-8704602음식점280연산동신선한 재료를 직접 구입하여 요리제공<p>&nbsp;</p>N10:00~20:4020160726060610/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4231&amp;fileTy=IMG&amp;fileNo=1충남반점사진.jpg<NA><NA>42312021-03-01 05:29:03
2토담식당윤숙희(47552) 부산광역시 연제구 과정로 335-1 (연산동)051-851-0006602음식점280연산동신선한 재료를 사용하여 요리 제공<p>&nbsp;</p>N11:00~21:0020160726054623/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4230&amp;fileTy=IMG&amp;fileNo=1토담식당 사진.jpg<NA><NA>42302021-03-01 05:29:03
3태평양숯불갈비임갑순(46985) 부산광역시 사상구 사상로 77 (감전동)051-328-8463602음식점188감전동<table class="__se_tbl_ext" style="width: 304px; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col style="width: 304px;"><tbody><tr style="height: 53px;"><td style="border: 0px windowtext; border-image: none; width: 304px; height: 53px; background-color: transparent;"><span><font face="맑은 고딕" size="2">&nbsp;인근 관공서와 공장 주민을 상대로 저렴한 가격으로 운영</font></span></td></tr></tbody></table><p>&nbsp;</p>N11:00 ~ 21:0020160726025651/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4228&amp;fileTy=IMG&amp;fileNo=220160704(태평양숯불갈비)-정식.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4228&amp;fileTy=IMG&amp;fileNo=120160704(태평양숯불갈비-외부).jpg42282021-03-01 05:29:03
4헤어짱백진희(47051) 부산광역시 사상구 대동로 84 (학장동, 학장무학아파트) 무학아파트 상가 135호051-316-3150603이미용203학장동<table class="__se_tbl_ext" style="width: 304px; border-collapse: collapse;" border="0" cellspacing="0" cellpadding="0"><colgroup><col style="width: 304px;"><tbody><tr style="height: 53px;"><td style="border: 0px windowtext; border-image: none; width: 304px; height: 53px; background-color: transparent;"><p><span><font face="맑은 고딕" size="2">&nbsp;</font></span><font face="맑은 고딕"><font size="2">아파트 상가에 위치, 단골 손님이 많아 </font></font><font face="맑은 고딕"><font size="2">박리다매로 </font><font size="2"> 운영</font><span><font size="2">&nbsp;</font></span></font>&nbsp;</p></td></tr></tbody></table><p>&nbsp;</p>Y09:30-20:0020160726025143/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4227&amp;fileTy=IMG&amp;fileNo=220160630(헤어짱2).jpg<NA><NA>42272021-03-01 05:29:03
5돈까스로허성만(46303) 부산광역시 금정구 동부곡로6번길 16 (부곡동)010-5233-9414602음식점27부곡1동<p><span id="husky_bookmark_start_1469684073962"></span>위생 및 청결도가 매우 높고 원산지 표시를 매우 잘 이행하는 식당​<span id="husky_bookmark_end_1469684073962"></span></p>N11:30~20:3020160728023449/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4239&amp;fileTy=IMG&amp;fileNo=4돈까스로(편집).jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4239&amp;fileTy=IMG&amp;fileNo=5돈까스로5.jpg42392021-03-01 05:29:03
6삼세랑김명신(46302) 부산광역시 금정구 중앙대로 1588 (부곡동)051-923-3434602음식점27부곡1동<p><span id="husky_bookmark_start_1469683970402"></span>​신선한 제철 식재료로 만든 정갈한 가정식을 매일 새롭게 담아내는 건강식당​<span id="husky_bookmark_end_1469683970402"></span></p>Y11:30~21:0020160728023234/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4238&amp;fileTy=IMG&amp;fileNo=4삼세랑9.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4238&amp;fileTy=IMG&amp;fileNo=5삼세랑8.jpg42382021-03-01 05:29:03
7한우리밥집김정훈(47030) 부산광역시 사상구 낙동대로 875 (감전동)051-313-6005602음식점188감전동<p>배달 인건비를 줄여서 직접 오시는 고객들께 저렴한 가격으로 대접하는 마음으로 운영 &nbsp;</p>Y10:00~21:0020160726022740/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4224&amp;fileTy=IMG&amp;fileNo=120170310_164052_4.jpg<NA><NA>42242021-03-01 05:29:03
8양푼이동태백반박덕자(48745) 부산광역시 동구 자성공원로 1-16 (범일동)051-631-2333602음식점76범일2동<p>&nbsp;</p>N10:00-22:0020160418094003/comm/getImage?srvcId=MULGAKIND&amp;upperNo=4199&amp;fileTy=IMG&amp;fileNo=11.jpg<NA><NA>41992021-03-01 05:29:03
9희정식당이우선(48929) 부산광역시 중구 중앙대로81번길 4-11 (중앙동4가)051-462-6318602음식점346중앙동4가<p>&nbsp;</p>N10:00~20:0020160323023102<NA><NA><NA><NA>41952021-03-01 05:29:03
sjm_nmadrestelcn_cdcnlocale_cdlocaleintrcnparkng_atbsn_timecreat_dtimg_file1img_name1img_file2img_name2idxlast_load_dttm
624남포수제비김영자부산시 중구 광복로 49번길 7-1 (광복동)051-245-6821602음식점350창선동1가자체 업소 브랜드 등록화하여 자부심을 가지고 영업함,가격이 저렴하여 젊은층이 주로 이용을 하고 있음, 물가안정을 위해 가격을 올리지자체 업소 브랜드 등록화하여 자부심을 가지고 영업함,가격이 저렴하여 젊은층이 주로 이용을 하고 있음, 물가안정을 위해 가격을 올리지 않고 있음N09:00-22:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=148&amp;fileTy=IMG&amp;fileNo=2남포수제비_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=148&amp;fileTy=IMG&amp;fileNo=1남포수제비_외부.jpg1482021-03-01 05:29:03
625두부가김기환부산시 중구 광복로 55번길14-1 (광복동)051-248-0156602음식점350창선동1가3년이상 가격안정을 위해 가격을 올리지 않고 있음,저렴한 식재료 구입을 위해 전통시장을 이용,두부를 직접 만들어 요리, 화학조미료를 사용하지 않음N10:00-22:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=145&amp;fileTy=IMG&amp;fileNo=2두부가_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=145&amp;fileTy=IMG&amp;fileNo=1두부가_외부.jpg1452021-03-01 05:29:03
626일미기사식당윤영순부산시 중구 흑교로 10-1 (부평동)051-253-4440602음식점333부평동2가저렴한 식재료 구입을 위해 전통시장을 이용, 2년이상 가격안정을 위해 가격을 올리지 않고 있음, 메뉴가 다양하며 가격이 저렴하여 손님이 많이 이용Y24시간20130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=144&amp;fileTy=IMG&amp;fileNo=2일미기사식당_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=144&amp;fileTy=IMG&amp;fileNo=1일미기사식당_외부.jpg1442021-03-01 05:29:03
627대성분식정인순부산시 중구 보수대로 44번길 (부평동)051-244-9658602음식점334부평동3가저렴한 식재료 구입을 위해 전통시장을 이용,10년이상 가격안정을 위해 가격을 올리지 않고 있음,부부가 함께 운영함으로 인건비를 절약, 경로우대할인 참여 (500원 할인)N11:30-21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=143&amp;fileTy=IMG&amp;fileNo=2대성분식_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=143&amp;fileTy=IMG&amp;fileNo=1대성분식_외부.jpg1432021-03-01 05:29:03
628물꽁식당윤근순부산시 중구 흑교로 59번길3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
629(보수동)051-257-3230602음식점329보수동2가저렴한 식재료 구입을 위해 전통시장을 이용 2년이상 가격안정을 위해 가격을 올리지 않고 있음, 맛도 좋음. 모범음식점 지정Y09:00-22:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=142&amp;fileTy=IMG&amp;fileNo=2물꽁식당_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=142&amp;fileTy=IMG&amp;fileNo=1물꽁식당_외부.jpg1422021-03-01 05:29:03<NA><NA>
630옛날식당신방자부산시 중구 샘길22 (동광동)051-467-1258602음식점327동광동5가2008년부터 가격안정을 위해 가격을 올리지 않고 있음,저렴한 식재료 구입을 위해 전통시장을 이용Y11:00-21:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=140&amp;fileTy=IMG&amp;fileNo=2옛날식당_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=140&amp;fileTy=IMG&amp;fileNo=1옛날식당_외부.jpg1402021-03-01 05:29:03
631다복식당윤미연부산시 중구 샘길 16 (동광동)051-644-8089602음식점327동광동5가부부가 함께 운영하여 인건비를 절약하여 았음, 2년정도 가격안정을 위해 가격을 올리지 않고 있음,가격이 저렴하고 친절하고 맛이 좋음Y08:00-20:0020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=139&amp;fileTy=IMG&amp;fileNo=2다복식당_내부.jpg/comm/getImage?srvcId=MULGAKIND&amp;upperNo=139&amp;fileTy=IMG&amp;fileNo=1다복식당_외부.jpg1392021-03-01 05:29:03
632뚱보집김귀자부산시 중구 중앙대로 29번길<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6332-11 (중앙동)051-246-7466602음식점343중앙동1가5년이상 가격안정을 위해 가격을 올리지 않고 있음, 다양한 메뉴(정식 및 쭈꾸미, 수육 등)와 저렴한 가격으로 젊은·중년층 등 다양하게 찾고 있음N11:30-22:5020130221024508/comm/getImage?srvcId=MULGAKIND&amp;upperNo=138&amp;fileTy=IMG&amp;fileNo=1뚱보집_외부.jpg<NA><NA>1382021-03-01 05:29:03<NA><NA>