gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	276
Missing cells	708
Missing cells (%)	16.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	36.8 KiB
Average record size in memory	136.5 B

Variable types

Categorical	4
Numeric	7
Text	5

Dataset

Description	시군구코드,지정년도,지정번호,신청일자,지정일자,취소일자,불가일자,업소명,소재지도로명,소재지지번,허가(신고)번호,업태명,주된음식,영업장면적(㎡),행정동명,급수시설구분
Author	관악구
URL	https://data.seoul.go.kr/dataList/OA-11545/S/1/datasetView.do

Alerts

`시군구코드` has constant value ""	Constant
`지정년도` is highly overall correlated with `지정번호` and 3 other fields	High correlation
`지정번호` is highly overall correlated with `지정년도` and 2 other fields	High correlation
`신청일자` is highly overall correlated with `지정년도` and 4 other fields	High correlation
`지정일자` is highly overall correlated with `지정년도` and 3 other fields	High correlation
`취소일자` is highly overall correlated with `지정년도` and 2 other fields	High correlation
`불가일자` is highly overall correlated with `신청일자` and 2 other fields	High correlation
`행정동명` is highly overall correlated with `불가일자`	High correlation
`급수시설구분` is highly overall correlated with `불가일자`	High correlation
`업태명` is highly imbalanced (63.4%)	Imbalance
`지정년도` has 41 (14.9%) missing values	Missing
`지정번호` has 41 (14.9%) missing values	Missing
`지정일자` has 41 (14.9%) missing values	Missing
`취소일자` has 149 (54.0%) missing values	Missing
`불가일자` has 262 (94.9%) missing values	Missing
`주된음식` has 174 (63.0%) missing values	Missing

Reproduction

Analysis started	2024-05-03 19:56:48.529680
Analysis finished	2024-05-03 19:57:03.323915
Duration	14.79 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군구코드
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

3200000	276

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3200000
2nd row	3200000
3rd row	3200000
4th row	3200000
5th row	3200000

Common Values

Value	Count	Frequency (%)
3200000	276	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3200000	276	100.0%

지정년도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	16
Distinct (%)	6.8%
Missing	41
Missing (%)	14.9%
Infinite	0
Infinite (%)	0.0%
Mean	2013.1319

Minimum	2001
Maximum	2023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	2001
5-th percentile	2001
Q1	2005
median	2018
Q3	2018
95-th percentile	2023
Maximum	2023
Range	22
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	7.9213308
Coefficient of variation (CV)	0.0039348295
Kurtosis	-1.4378081
Mean	2013.1319
Median Absolute Deviation (MAD)	3
Skewness	-0.49243013
Sum	473086
Variance	62.747481
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2018	89	32.2%
2001	44	15.9%
2005	28	10.1%
2023	21	7.6%
2019	12	4.3%
2021	12	4.3%
2020	8	2.9%
2007	6	2.2%
2009	3	1.1%
2008	3	1.1%
Other values (6)	9	3.3%
(Missing)	41	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2001	44	15.9%
2002	1	0.4%
2005	28	10.1%
2006	3	1.1%
2007	6	2.2%
2008	3	1.1%
2009	3	1.1%
2010	2	0.7%
2013	1	0.4%
2014	1	0.4%

Value	Count	Frequency (%)
2023	21	7.6%
2021	12	4.3%
2020	8	2.9%
2019	12	4.3%
2018	89	32.2%
2017	1	0.4%
2014	1	0.4%
2013	1	0.4%
2010	2	0.7%
2009	3	1.1%

지정번호
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	159
Distinct (%)	67.7%
Missing	41
Missing (%)	14.9%
Infinite	0
Infinite (%)	0.0%
Mean	111.82553

Minimum	1
Maximum	588
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14.5
median	67
Q3	125.5
95-th percentile	405.2
Maximum	588
Range	587
Interquartile range (IQR)	111

Descriptive statistics

Standard deviation	132.82197
Coefficient of variation (CV)	1.1877606
Kurtosis	1.8413326
Mean	111.82553
Median Absolute Deviation (MAD)	55
Skewness	1.6243426
Sum	26279
Variance	17641.675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	6	2.2%
4	6	2.2%
2	5	1.8%
9	5	1.8%
3	5	1.8%
11	5	1.8%
10	5	1.8%
6	4	1.4%
8	4	1.4%
1	4	1.4%
Other values (149)	186	67.4%
(Missing)	41	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	1.4%
2	5	1.8%
3	5	1.8%
4	6	2.2%
5	4	1.4%
6	4	1.4%
7	6	2.2%
8	4	1.4%
9	5	1.8%
10	5	1.8%

Value	Count	Frequency (%)
588	1	0.4%
543	1	0.4%
532	1	0.4%
514	1	0.4%
508	1	0.4%
482	1	0.4%
472	1	0.4%
466	1	0.4%
453	1	0.4%
442	1	0.4%

신청일자
Real number (ℝ)

HIGH CORRELATION

Distinct	45
Distinct (%)	16.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20109903

Minimum	20010630
Maximum	20231204
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	20010630
5-th percentile	20010630
Q1	20050614
median	20090313
Q3	20170920
95-th percentile	20230831
Maximum	20231204
Range	220574
Interquartile range (IQR)	120306

Descriptive statistics

Standard deviation	73094.503
Coefficient of variation (CV)	0.0036347516
Kurtosis	-1.318256
Mean	20109903
Median Absolute Deviation (MAD)	70607
Skewness	0.15644829
Sum	5.5503332 × 10⁹
Variance	5.3428063 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
20010630	40	14.5%
20050614	40	14.5%
20230831	20	7.2%
20170920	19	6.9%
20090313	17	6.2%
20080710	13	4.7%
20160920	13	4.7%
20211031	12	4.3%
20190830	12	4.3%
20070720	10	3.6%
Other values (35)	80	29.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20010630	40	14.5%
20011230	9	3.3%
20021018	1	0.4%
20050614	40	14.5%
20051205	1	0.4%
20060510	2	0.7%
20060703	3	1.1%
20070720	10	3.6%
20070723	1	0.4%
20070725	2	0.7%

Value	Count	Frequency (%)
20231204	1	0.4%
20230831	20	7.2%
20220831	2	0.7%
20211031	12	4.3%
20200831	8	2.9%
20190830	12	4.3%
20181109	2	0.7%
20180831	10	3.6%
20170920	19	6.9%
20160920	13	4.7%

지정일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	21
Distinct (%)	8.9%
Missing	41
Missing (%)	14.9%
Infinite	0
Infinite (%)	0.0%
Mean	20132290

Minimum	20010701
Maximum	20231204
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	20010701
5-th percentile	20010701
Q1	20050630
median	20181109
Q3	20181109
95-th percentile	20231204
Maximum	20231204
Range	220503
Interquartile range (IQR)	130479

Descriptive statistics

Standard deviation	79393.719
Coefficient of variation (CV)	0.003943601
Kurtosis	-1.4403615
Mean	20132290
Median Absolute Deviation (MAD)	30006
Skewness	-0.49137061
Sum	4.7310881 × 10⁹
Variance	6.3033626 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
20181109	89	32.2%
20010701	36	13.0%
20050630	27	9.8%
20231204	21	7.6%
20211115	12	4.3%
20191111	12	4.3%
20201111	8	2.9%
20011231	8	2.9%
20070727	5	1.8%
20060711	3	1.1%
Other values (11)	14	5.1%
(Missing)	41	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20010701	36	13.0%
20011231	8	2.9%
20021231	1	0.4%
20050614	1	0.4%
20050630	27	9.8%
20060711	3	1.1%
20070711	1	0.4%
20070727	5	1.8%
20080721	1	0.4%
20080725	2	0.7%

Value	Count	Frequency (%)
20231204	21	7.6%
20211115	12	4.3%
20201111	8	2.9%
20191111	12	4.3%
20181109	89	32.2%
20171106	1	0.4%
20141110	1	0.4%
20131105	1	0.4%
20100629	1	0.4%
20100510	1	0.4%

취소일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	62
Distinct (%)	48.8%
Missing	149
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	20106110

Minimum	20020103
Maximum	20240206
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	20020103
5-th percentile	20030348
Q1	20060806
median	20070727
Q3	20161109
95-th percentile	20221124
Maximum	20240206
Range	220103
Interquartile range (IQR)	100303

Descriptive statistics

Standard deviation	62362.842
Coefficient of variation (CV)	0.0031016861
Kurtosis	-0.95240971
Mean	20106110
Median Absolute Deviation (MAD)	39610
Skewness	0.60033955
Sum	2.553476 × 10⁹
Variance	3.8891241 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20070727	25	9.1%
20211115	8	2.9%
20080725	7	2.5%
20221124	6	2.2%
20111024	5	1.8%
20141203	4	1.4%
20070725	4	1.4%
20191111	3	1.1%
20060711	3	1.1%
20131204	3	1.1%
Other values (52)	59	21.4%
(Missing)	149	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20020103	1	0.4%
20020207	1	0.4%
20020618	1	0.4%
20020723	1	0.4%
20021119	1	0.4%
20021130	1	0.4%
20030321	1	0.4%
20030412	1	0.4%
20030530	1	0.4%
20030908	1	0.4%

Value	Count	Frequency (%)
20240206	1	0.4%
20230725	1	0.4%
20221124	6	2.2%
20211115	8	2.9%
20191111	3	1.1%
20191018	1	0.4%
20181026	2	0.7%
20180412	1	0.4%
20171117	1	0.4%
20171106	2	0.7%

불가일자
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6
Distinct (%)	42.9%
Missing	262
Missing (%)	94.9%
Infinite	0
Infinite (%)	0.0%
Mean	20140938

Minimum	20090501
Maximum	20171017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	20090501
5-th percentile	20090501
Q1	20133546
median	20146006
Q3	20161109
95-th percentile	20171017
Maximum	20171017
Range	80516
Interquartile range (IQR)	27562.75

Descriptive statistics

Standard deviation	30082.166
Coefficient of variation (CV)	0.0014935831
Kurtosis	-0.49547357
Mean	20140938
Median Absolute Deviation (MAD)	15102.5
Skewness	-0.91864634
Sum	2.8197314 × 10⁸
Variance	9.0493668 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
20141110	3	1.1%
20090501	3	1.1%
20171017	3	1.1%
20161109	3	1.1%
20131025	1	0.4%
20150903	1	0.4%
(Missing)	262	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20090501	3	1.1%
20131025	1	0.4%
20141110	3	1.1%
20150903	1	0.4%
20161109	3	1.1%
20171017	3	1.1%

Value	Count	Frequency (%)
20171017	3	1.1%
20161109	3	1.1%
20150903	1	0.4%
20141110	3	1.1%
20131025	1	0.4%
20090501	3	1.1%

업소명
Text

Distinct	221
Distinct (%)	80.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Length

Max length	21
Median length	16
Mean length	6.7173913
Min length	2

Characters and Unicode

Total characters	1854
Distinct characters	362
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	177 ?
Unique (%)	64.1%

Sample

1st row	신호등장작구이&원주골돌솥추어탕
2nd row	장군식당
3rd row	장수촌
4th row	로향
5th row	정성

Value	Count	Frequency (%)
신림점	6	1.6%
황칠나라	4	1.1%
남원추어탕	4	1.1%
보쌈	4	1.1%
풍년옥	4	1.1%
난곡점	3	0.8%
초장집	3	0.8%
시골집	3	0.8%
두둑한샤브칼국수	3	0.8%
채쉐프	3	0.8%
Other values (266)	327	89.8%

Most occurring characters

Value	Count	Frequency (%)
	89	4.8%
점	39	2.1%
장	36	1.9%
탕	31	1.7%
국	30	1.6%
대	28	1.5%
수	27	1.5%
이	25	1.3%
집	24	1.3%
어	23	1.2%
Other values (352)	1502	81.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1689	91.1%
Space Separator	89	4.8%
Lowercase Letter	22	1.2%
Open Punctuation	13	0.7%
Close Punctuation	13	0.7%
Other Punctuation	12	0.6%
Decimal Number	10	0.5%
Uppercase Letter	5	0.3%
Dash Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	39	2.3%
장	36	2.1%
탕	31	1.8%
국	30	1.8%
대	28	1.7%
수	27	1.6%
이	25	1.5%
집	24	1.4%
어	23	1.4%
구	22	1.3%
Other values (322)	1404	83.1%

Lowercase Letter

Value	Count	Frequency (%)
e	4	18.2%
n	3	13.6%
u	3	13.6%
a	2	9.1%
b	2	9.1%
s	1	4.5%
g	1	4.5%
i	1	4.5%
t	1	4.5%
h	1	4.5%
Other values (3)	3	13.6%

Decimal Number

Value	Count	Frequency (%)
1	3	30.0%
0	2	20.0%
5	2	20.0%
8	2	20.0%
4	1	10.0%

Uppercase Letter

Value	Count	Frequency (%)
K	1	20.0%
H	1	20.0%
C	1	20.0%
J	1	20.0%
B	1	20.0%

Other Punctuation

Value	Count	Frequency (%)
&	7	58.3%
.	4	33.3%
/	1	8.3%

Space Separator

Value	Count	Frequency (%)
	89	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1684	90.8%
Common	138	7.4%
Latin	27	1.5%
Han	5	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	39	2.3%
장	36	2.1%
탕	31	1.8%
국	30	1.8%
대	28	1.7%
수	27	1.6%
이	25	1.5%
집	24	1.4%
어	23	1.4%
구	22	1.3%
Other values (317)	1399	83.1%

Latin

Value	Count	Frequency (%)
e	4	14.8%
n	3	11.1%
u	3	11.1%
a	2	7.4%
b	2	7.4%
s	1	3.7%
g	1	3.7%
i	1	3.7%
K	1	3.7%
H	1	3.7%
Other values (8)	8	29.6%

Common

Value	Count	Frequency (%)
	89	64.5%
(	13	9.4%
)	13	9.4%
&	7	5.1%
.	4	2.9%
1	3	2.2%
0	2	1.4%
5	2	1.4%
8	2	1.4%
/	1	0.7%
Other values (2)	2	1.4%

Han

Value	Count	Frequency (%)
海	1	20.0%
鄭	1	20.0%
壽	1	20.0%
東	1	20.0%
司	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1684	90.8%
ASCII	165	8.9%
CJK	5	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	89	53.9%
(	13	7.9%
)	13	7.9%
&	7	4.2%
.	4	2.4%
e	4	2.4%
n	3	1.8%
u	3	1.8%
1	3	1.8%
0	2	1.2%
Other values (20)	24	14.5%

Hangul

Value	Count	Frequency (%)
점	39	2.3%
장	36	2.1%
탕	31	1.8%
국	30	1.8%
대	28	1.7%
수	27	1.6%
이	25	1.5%
집	24	1.4%
어	23	1.4%
구	22	1.3%
Other values (317)	1399	83.1%

CJK

Value	Count	Frequency (%)
海	1	20.0%
鄭	1	20.0%
壽	1	20.0%
東	1	20.0%
司	1	20.0%

소재지도로명
Text

Distinct	224
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Length

Max length	61
Median length	45
Mean length	29.057971
Min length	22

Characters and Unicode

Total characters	8020
Distinct characters	120
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	180 ?
Unique (%)	65.2%

Sample

1st row	서울특별시 관악구 봉천로 190, 2층 (신림동)
2nd row	서울특별시 관악구 남부순환로 1597-7, 지하1층-1층 (신림동)
3rd row	서울특별시 관악구 봉천로 382, 1층 (봉천동)
4th row	서울특별시 관악구 낙성대로 12, 1층 (봉천동)
5th row	서울특별시 관악구 관악로 154-5, 2층 (봉천동)

Value	Count	Frequency (%)
서울특별시	276	17.3%
관악구	276	17.3%
1층	123	7.7%
봉천동	116	7.3%
신림동	110	6.9%
봉천로	41	2.6%
남부순환로	35	2.2%
2층	24	1.5%
관악로	21	1.3%
남현동	20	1.3%
Other values (281)	555	34.8%

Most occurring characters

Value	Count	Frequency (%)
	1323	16.5%
1	380	4.7%
,	333	4.2%
관	325	4.1%
악	322	4.0%
동	282	3.5%
(	279	3.5%
)	279	3.5%
시	278	3.5%
서	277	3.5%
Other values (110)	3942	49.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4503	56.1%
Space Separator	1323	16.5%
Decimal Number	1227	15.3%
Other Punctuation	333	4.2%
Open Punctuation	279	3.5%
Close Punctuation	279	3.5%
Dash Punctuation	49	0.6%
Uppercase Letter	19	0.2%
Math Symbol	8	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
관	325	7.2%
악	322	7.2%
동	282	6.3%
시	278	6.2%
서	277	6.2%
구	276	6.1%
울	276	6.1%
별	276	6.1%
특	276	6.1%
로	243	5.4%
Other values (83)	1672	37.1%

Uppercase Letter

Value	Count	Frequency (%)
B	5	26.3%
E	3	15.8%
O	2	10.5%
C	2	10.5%
A	1	5.3%
N	1	5.3%
P	1	5.3%
R	1	5.3%
S	1	5.3%
I	1	5.3%

Decimal Number

Value	Count	Frequency (%)
1	380	31.0%
2	202	16.5%
3	110	9.0%
6	103	8.4%
4	92	7.5%
5	91	7.4%
0	79	6.4%
8	72	5.9%
7	55	4.5%
9	43	3.5%

Space Separator

Value	Count	Frequency (%)
	1323	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	333	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	279	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	279	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	49	100.0%

Math Symbol

Value	Count	Frequency (%)
~	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4503	56.1%
Common	3498	43.6%
Latin	19	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
관	325	7.2%
악	322	7.2%
동	282	6.3%
시	278	6.2%
서	277	6.2%
구	276	6.1%
울	276	6.1%
별	276	6.1%
특	276	6.1%
로	243	5.4%
Other values (83)	1672	37.1%

Common

Value	Count	Frequency (%)
	1323	37.8%
1	380	10.9%
,	333	9.5%
(	279	8.0%
)	279	8.0%
2	202	5.8%
3	110	3.1%
6	103	2.9%
4	92	2.6%
5	91	2.6%
Other values (6)	306	8.7%

Latin

Value	Count	Frequency (%)
B	5	26.3%
E	3	15.8%
O	2	10.5%
C	2	10.5%
A	1	5.3%
N	1	5.3%
P	1	5.3%
R	1	5.3%
S	1	5.3%
I	1	5.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4503	56.1%
ASCII	3517	43.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1323	37.6%
1	380	10.8%
,	333	9.5%
(	279	7.9%
)	279	7.9%
2	202	5.7%
3	110	3.1%
6	103	2.9%
4	92	2.6%
5	91	2.6%
Other values (17)	325	9.2%

Hangul

Value	Count	Frequency (%)
관	325	7.2%
악	322	7.2%
동	282	6.3%
시	278	6.2%
서	277	6.2%
구	276	6.1%
울	276	6.1%
별	276	6.1%
특	276	6.1%
로	243	5.4%
Other values (83)	1672	37.1%

소재지지번
Text

Distinct	219
Distinct (%)	79.3%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Length

Max length	62
Median length	46
Mean length	27.597826
Min length	23

Characters and Unicode

Total characters	7617
Distinct characters	82
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	170 ?
Unique (%)	61.6%

Sample

1st row	서울특별시 관악구 신림동 1445번지 14호
2nd row	서울특별시 관악구 신림동 1433번지 78호
3rd row	서울특별시 관악구 봉천동 931번지 1호
4th row	서울특별시 관악구 봉천동 1627번지 13호
5th row	서울특별시 관악구 봉천동 1598번지 2호

Value	Count	Frequency (%)
서울특별시	276	18.9%
관악구	276	18.9%
봉천동	131	9.0%
신림동	124	8.5%
지상1층	47	3.2%
1호	27	1.8%
남현동	21	1.4%
2호	17	1.2%
5호	15	1.0%
3호	15	1.0%
Other values (228)	512	35.0%

Most occurring characters

Value	Count	Frequency (%)
	1937	25.4%
1	396	5.2%
지	343	4.5%
호	278	3.6%
번	277	3.6%
동	277	3.6%
구	276	3.6%
서	276	3.6%
악	276	3.6%
시	276	3.6%
Other values (72)	3005	39.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4126	54.2%
Space Separator	1937	25.4%
Decimal Number	1514	19.9%
Uppercase Letter	18	0.2%
Other Punctuation	10	0.1%
Dash Punctuation	5	0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	343	8.3%
호	278	6.7%
번	277	6.7%
동	277	6.7%
구	276	6.7%
서	276	6.7%
악	276	6.7%
시	276	6.7%
특	276	6.7%
별	276	6.7%
Other values (46)	1295	31.4%

Decimal Number

Value	Count	Frequency (%)
1	396	26.2%
2	205	13.5%
6	162	10.7%
5	143	9.4%
3	128	8.5%
4	123	8.1%
0	101	6.7%
8	91	6.0%
9	88	5.8%
7	77	5.1%

Uppercase Letter

Value	Count	Frequency (%)
B	5	27.8%
E	3	16.7%
O	2	11.1%
C	2	11.1%
P	1	5.6%
R	1	5.6%
S	1	5.6%
I	1	5.6%
D	1	5.6%
N	1	5.6%

Space Separator

Value	Count	Frequency (%)
	1937	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	10	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4126	54.2%
Common	3473	45.6%
Latin	18	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	343	8.3%
호	278	6.7%
번	277	6.7%
동	277	6.7%
구	276	6.7%
서	276	6.7%
악	276	6.7%
시	276	6.7%
특	276	6.7%
별	276	6.7%
Other values (46)	1295	31.4%

Common

Value	Count	Frequency (%)
	1937	55.8%
1	396	11.4%
2	205	5.9%
6	162	4.7%
5	143	4.1%
3	128	3.7%
4	123	3.5%
0	101	2.9%
8	91	2.6%
9	88	2.5%
Other values (6)	99	2.9%

Latin

Value	Count	Frequency (%)
B	5	27.8%
E	3	16.7%
O	2	11.1%
C	2	11.1%
P	1	5.6%
R	1	5.6%
S	1	5.6%
I	1	5.6%
D	1	5.6%
N	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4126	54.2%
ASCII	3491	45.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1937	55.5%
1	396	11.3%
2	205	5.9%
6	162	4.6%
5	143	4.1%
3	128	3.7%
4	123	3.5%
0	101	2.9%
8	91	2.6%
9	88	2.5%
Other values (16)	117	3.4%

Hangul

Value	Count	Frequency (%)
지	343	8.3%
호	278	6.7%
번	277	6.7%
동	277	6.7%
구	276	6.7%
서	276	6.7%
악	276	6.7%
시	276	6.7%
특	276	6.7%
별	276	6.7%
Other values (46)	1295	31.4%

허가(신고)번호
Text

Distinct	225
Distinct (%)	81.5%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

Length

Max length	22
Median length	22
Mean length	22
Min length	22

Characters and Unicode

Total characters	6072
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	182 ?
Unique (%)	65.9%

Sample

1st row	3200000-101-2016-00216
2nd row	3200000-101-2008-00163
3rd row	3200000-101-1997-01617
4th row	3200000-101-1997-09385
5th row	3200000-101-2016-00035

Value	Count	Frequency (%)
3200000-101-1999-00787	4	1.4%
3200000-101-1997-05894	3	1.1%
3200000-101-1993-00529	3	1.1%
3200000-101-2000-00008	3	1.1%
3200000-101-2008-00014	3	1.1%
3200000-101-2003-00512	3	1.1%
3200000-101-1997-05900	3	1.1%
3200000-101-2005-00466	2	0.7%
3200000-101-1996-06099	2	0.7%
3200000-101-2003-00253	2	0.7%
Other values (215)	248	89.9%

Most occurring characters

Value	Count	Frequency (%)
0	2525	41.6%
1	864	14.2%
-	828	13.6%
2	576	9.5%
3	405	6.7%
9	284	4.7%
5	127	2.1%
6	125	2.1%
4	123	2.0%
7	114	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5244	86.4%
Dash Punctuation	828	13.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2525	48.2%
1	864	16.5%
2	576	11.0%
3	405	7.7%
9	284	5.4%
5	127	2.4%
6	125	2.4%
4	123	2.3%
7	114	2.2%
8	101	1.9%

Dash Punctuation

Value	Count	Frequency (%)
-	828	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6072	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2525	41.6%
1	864	14.2%
-	828	13.6%
2	576	9.5%
3	405	6.7%
9	284	4.7%
5	127	2.1%
6	125	2.1%
4	123	2.0%
7	114	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2525	41.6%
1	864	14.2%
-	828	13.6%
2	576	9.5%
3	405	6.7%
9	284	4.7%
5	127	2.1%
6	125	2.1%
4	123	2.0%
7	114	1.9%

업태명
Categorical

IMBALANCE

Distinct	13
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

한식	222
일식	10
회집	9
중국식	7
호프/통닭	5
Other values (8)	23

Length

Max length	15
Median length	2
Mean length	2.2717391
Min length	2

Unique

Unique	2 ?
Unique (%)	0.7%

Sample

1st row	한식
2nd row	호프/통닭
3rd row	한식
4th row	한식
5th row	일식

Common Values

Value	Count	Frequency (%)
한식	222	80.4%
일식	10	3.6%
회집	9	3.3%
중국식	7	2.5%
호프/통닭	5	1.8%
기타	5	1.8%
경양식	5	1.8%
분식	5	1.8%
식육(숯불구이)	2	0.7%
뷔페식	2	0.7%
Other values (3)	4	1.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
한식	222	80.4%
일식	10	3.6%
회집	9	3.3%
중국식	7	2.5%
호프/통닭	5	1.8%
기타	5	1.8%
경양식	5	1.8%
분식	5	1.8%
식육(숯불구이	2	0.7%
뷔페식	2	0.7%
Other values (3)	4	1.4%

주된음식
Text

MISSING

Distinct	58
Distinct (%)	56.9%
Missing	174
Missing (%)	63.0%
Memory size	2.3 KiB

Length

Max length	8
Median length	7
Mean length	3.6568627
Min length	2

Characters and Unicode

Total characters	373
Distinct characters	102
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	41.2%

Sample

1st row	갈비
2nd row	갈비
3rd row	초밥
4th row	감자탕
5th row	냉면

Value	Count	Frequency (%)
돼지갈비	17	16.3%
활어회	5	4.8%
삼겹살	5	4.8%
추어탕	4	3.8%
불고기	4	3.8%
갈비탕	4	3.8%
초밥	4	3.8%
순대국	3	2.9%
갈비	2	1.9%
설렁탕	2	1.9%
Other values (47)	54	51.9%

Most occurring characters

Value	Count	Frequency (%)
갈	29	7.8%
비	27	7.2%
지	19	5.1%
탕	18	4.8%
돼	17	4.6%
어	12	3.2%
삼	9	2.4%
식	9	2.4%
정	9	2.4%
기	8	2.1%
Other values (92)	216	57.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	367	98.4%
Other Punctuation	4	1.1%
Space Separator	2	0.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
갈	29	7.9%
비	27	7.4%
지	19	5.2%
탕	18	4.9%
돼	17	4.6%
어	12	3.3%
삼	9	2.5%
식	9	2.5%
정	9	2.5%
기	8	2.2%
Other values (90)	210	57.2%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	367	98.4%
Common	6	1.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
갈	29	7.9%
비	27	7.4%
지	19	5.2%
탕	18	4.9%
돼	17	4.6%
어	12	3.3%
삼	9	2.5%
식	9	2.5%
정	9	2.5%
기	8	2.2%
Other values (90)	210	57.2%

Common

Value	Count	Frequency (%)
,	4	66.7%
	2	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	367	98.4%
ASCII	6	1.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
갈	29	7.9%
비	27	7.4%
지	19	5.2%
탕	18	4.9%
돼	17	4.6%
어	12	3.3%
삼	9	2.5%
식	9	2.5%
정	9	2.5%
기	8	2.2%
Other values (90)	210	57.2%

ASCII

Value	Count	Frequency (%)
,	4	66.7%
	2	33.3%

영업장면적(㎡)
Real number (ℝ)

Distinct	218
Distinct (%)	79.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	147.90185

Minimum	0
Maximum	1924.11
Zeros	1
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	2.6 KiB

Quantile statistics

Minimum	0
5-th percentile	44.2825
Q1	77.7625
median	98.8
Q3	150.525
95-th percentile	372.55
Maximum	1924.11
Range	1924.11
Interquartile range (IQR)	72.7625

Descriptive statistics

Standard deviation	177.05229
Coefficient of variation (CV)	1.1970931
Kurtosis	42.891041
Mean	147.90185
Median Absolute Deviation (MAD)	32.575
Skewness	5.6025054
Sum	40820.91
Variance	31347.512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
170.34	4	1.4%
79.2	4	1.4%
96.16	3	1.1%
81.82	3	1.1%
44.97	3	1.1%
111.59	3	1.1%
141.62	3	1.1%
56.0	3	1.1%
158.3	3	1.1%
49.5	3	1.1%
Other values (208)	244	88.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1	0.4%
16.56	1	0.4%
24.19	1	0.4%
24.42	1	0.4%
24.52	1	0.4%
30.84	1	0.4%
33.56	1	0.4%
34.0	1	0.4%
37.91	1	0.4%
40.0	1	0.4%

Value	Count	Frequency (%)
1924.11	1	0.4%
996.01	1	0.4%
955.35	2	0.7%
900.36	2	0.7%
690.03	1	0.4%
540.68	1	0.4%
494.97	1	0.4%
481.63	1	0.4%
462.4	1	0.4%
459.5	1	0.4%

행정동명
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

낙성대동	47
신림동	37
남현동	21
은천동	20
청룡동	20
Other values (15)	131

Length

Max length	4
Median length	3
Mean length	3.2137681
Min length	3

Unique

Unique	2 ?
Unique (%)	0.7%

Sample

1st row	신림동
2nd row	신림동
3rd row	은천동
4th row	낙성대동
5th row	낙성대동

Common Values

Value	Count	Frequency (%)
낙성대동	47	17.0%
신림동	37	13.4%
남현동	21	7.6%
은천동	20	7.2%
청룡동	20	7.2%
서원동	18	6.5%
행운동	16	5.8%
조원동	16	5.8%
대학동	13	4.7%
보라매동	12	4.3%
Other values (10)	56	20.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
낙성대동	47	17.0%
신림동	37	13.4%
남현동	21	7.6%
은천동	20	7.2%
청룡동	20	7.2%
서원동	18	6.5%
행운동	16	5.8%
조원동	16	5.8%
대학동	13	4.7%
보라매동	12	4.3%
Other values (10)	56	20.3%

급수시설구분
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

상수도전용	205
<NA>	70
간이상수도	1

Length

Max length	5
Median length	5
Mean length	4.7463768
Min length	4

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

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

Common Values

Value	Count	Frequency (%)
상수도전용	205	74.3%
<NA>	70	25.4%
간이상수도	1	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
상수도전용	205	74.3%
na	70	25.4%
간이상수도	1	0.4%

Heatmap
Table

	지정년도	지정번호	신청일자	지정일자	취소일자	불가일자	업태명	주된음식	영업장면적(㎡)	행정동명	급수시설구분
지정년도	1.000	0.892	0.904	1.000	0.714	NaN	0.000	0.909	0.000	0.445	NaN
지정번호	0.892	1.000	0.881	0.901	0.720	NaN	0.214	0.789	0.000	0.154	0.000
신청일자	0.904	0.881	1.000	0.920	0.626	1.000	0.128	0.967	0.212	0.319	NaN
지정일자	1.000	0.901	0.920	1.000	0.789	NaN	0.000	0.967	0.000	0.433	NaN
취소일자	0.714	0.720	0.626	0.789	1.000	NaN	0.415	0.890	0.000	0.000	0.167
불가일자	NaN	NaN	1.000	NaN	NaN	1.000	0.000	NaN	NaN	0.781	NaN
업태명	0.000	0.214	0.128	0.000	0.415	0.000	1.000	0.976	0.473	0.371	0.000
주된음식	0.909	0.789	0.967	0.967	0.890	NaN	0.976	1.000	0.741	0.903	0.000
영업장면적(㎡)	0.000	0.000	0.212	0.000	0.000	NaN	0.473	0.741	1.000	0.263	0.000
행정동명	0.445	0.154	0.319	0.433	0.000	0.781	0.371	0.903	0.263	1.000	0.389
급수시설구분	NaN	0.000	NaN	NaN	0.167	NaN	0.000	0.000	0.000	0.389	1.000

Heatmap
Table

	행정동명	업태명	급수시설구분
행정동명	1.000	0.131	0.330
업태명	0.131	1.000	0.000
급수시설구분	0.330	0.000	1.000

Heatmap
Table

	지정년도	지정번호	신청일자	지정일자	취소일자	불가일자	영업장면적(㎡)	업태명	행정동명	급수시설구분
지정년도	1.000	-0.632	0.921	0.998	0.865	NaN	-0.160	0.000	0.176	0.000
지정번호	-0.632	1.000	-0.553	-0.622	0.111	NaN	0.199	0.088	0.044	0.000
신청일자	0.921	-0.553	1.000	0.923	0.808	0.995	-0.259	0.101	0.097	0.000
지정일자	0.998	-0.622	0.923	1.000	0.847	NaN	-0.163	0.000	0.176	0.000
취소일자	0.865	0.111	0.808	0.847	1.000	NaN	-0.015	0.190	0.000	0.123
불가일자	NaN	NaN	0.995	NaN	NaN	1.000	-0.244	0.000	0.594	1.000
영업장면적(㎡)	-0.160	0.199	-0.259	-0.163	-0.015	-0.244	1.000	0.239	0.112	0.000
업태명	0.000	0.088	0.101	0.000	0.190	0.000	0.239	1.000	0.131	0.000
행정동명	0.176	0.044	0.097	0.176	0.000	0.594	0.112	0.131	1.000	0.330
급수시설구분	0.000	0.000	0.000	0.000	0.123	1.000	0.000	0.000	0.330	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	시군구코드	지정년도	지정번호	신청일자	지정일자	취소일자	불가일자	업소명	소재지도로명	소재지지번	허가(신고)번호	업태명	주된음식	영업장면적(㎡)	행정동명	급수시설구분
0	3200000	2018	71	20160920	20181109	<NA>	<NA>	신호등장작구이&원주골돌솥추어탕	서울특별시 관악구 봉천로 190, 2층 (신림동)	서울특별시 관악구 신림동 1445번지 14호	3200000-101-2016-00216	한식	<NA>	275.0	신림동	상수도전용
1	3200000	2008	421	20080710	20080725	20131204	<NA>	장군식당	서울특별시 관악구 남부순환로 1597-7, 지하1층-1층 (신림동)	서울특별시 관악구 신림동 1433번지 78호	3200000-101-2008-00163	호프/통닭	갈비	65.9	신림동	<NA>
2	3200000	<NA>	<NA>	20080710	<NA>	20161109	<NA>	장수촌	서울특별시 관악구 봉천로 382, 1층 (봉천동)	서울특별시 관악구 봉천동 931번지 1호	3200000-101-1997-01617	한식	<NA>	83.01	은천동	상수도전용
3	3200000	2001	64	20010630	20010701	20060405	<NA>	로향	서울특별시 관악구 낙성대로 12, 1층 (봉천동)	서울특별시 관악구 봉천동 1627번지 13호	3200000-101-1997-09385	한식	갈비	125.4	낙성대동	상수도전용
4	3200000	2019	3	20190830	20191111	<NA>	<NA>	정성	서울특별시 관악구 관악로 154-5, 2층 (봉천동)	서울특별시 관악구 봉천동 1598번지 2호	3200000-101-2016-00035	일식	초밥	66.0	낙성대동	상수도전용
5	3200000	2005	299	20050614	20050630	20070727	<NA>	영진식당	서울특별시 관악구 조원로2길 7, 1층 (신림동)	서울특별시 관악구 신림동 1656번지	3200000-101-2003-00462	기타	감자탕	224.79	조원동	<NA>
6	3200000	2007	400	20070720	20070727	20080725	<NA>	영진식당	서울특별시 관악구 조원로2길 7, 1층 (신림동)	서울특별시 관악구 신림동 1656번지	3200000-101-2003-00462	기타	냉면	224.79	조원동	<NA>
7	3200000	2005	339	20050614	20050630	20070727	<NA>	복땡이	서울특별시 관악구 봉천로 333, (봉천동)	서울특별시 관악구 봉천동 957번지 33호	3200000-101-1988-00084	한식	돼지갈비	64.21	은천동	상수도전용
8	3200000	2001	135	20010630	20010701	20031010	<NA>	복땡이	서울특별시 관악구 봉천로 333, (봉천동)	서울특별시 관악구 봉천동 957번지 33호	3200000-101-1988-00084	한식	숯불갈비	64.21	은천동	상수도전용
9	3200000	2014	543	20140704	20141110	20161109	<NA>	진&정	서울특별시 관악구 난곡로63길 56, (신림동, 지상1층)	서울특별시 관악구 신림동 1484번지 3호	3200000-101-2005-00157	한식	청국장,보쌈정식	96.41	미성동	상수도전용

	시군구코드	지정년도	지정번호	신청일자	지정일자	취소일자	불가일자	업소명	소재지도로명	소재지지번	허가(신고)번호	업태명	주된음식	영업장면적(㎡)	행정동명	급수시설구분
266	3200000	2020	10	20200831	20201111	<NA>	<NA>	만성찬팅	서울특별시 관악구 신림로 322-4, 지하1층 (신림동)	서울특별시 관악구 신림동 75번지 41호	3200000-101-2013-00369	호프/통닭	꿔바로우	320.73	서원동	상수도전용
267	3200000	<NA>	<NA>	20170920	<NA>	<NA>	<NA>	하누소뜨락	서울특별시 관악구 신림로 391, 1층 (신림동)	서울특별시 관악구 신림동 1429번지 1호 지상1층	3200000-101-1987-07497	한식	<NA>	124.35	신림동	상수도전용
268	3200000	2009	466	20090313	20090501	20151201	<NA>	일점사	서울특별시 관악구 관악로16길 25, 1층 (봉천동)	서울특별시 관악구 봉천동 1601번지 3호	3200000-101-1983-07449	한식	쭈꾸미	71.5	낙성대동	상수도전용
269	3200000	2021	9	20211031	20211115	<NA>	<NA>	정숙성	서울특별시 관악구 남부순환로226길 31, 1층 (봉천동)	서울특별시 관악구 봉천동 1603번지 3호	3200000-101-2021-00062	한식	<NA>	189.81	낙성대동	상수도전용
270	3200000	2001	125	20010630	20010701	20060803	<NA>	단토리 서울대입구역점	서울특별시 관악구 관악로16길 13, 1층 (봉천동)	서울특별시 관악구 봉천동 853번지 2호 지상1층	3200000-101-2001-00387	한식	갈비탕	117.9	낙성대동	<NA>
271	3200000	2001	44	20010630	20010701	20040621	<NA>	대호아구집	서울특별시 관악구 남부순환로 1829-9, (봉천동)	서울특별시 관악구 봉천동 858번지 4호	3200000-101-1983-00400	한식	대구탕	110.34	행운동	상수도전용
272	3200000	2018	23	20080710	20181109	<NA>	<NA>	대호아구집	서울특별시 관악구 남부순환로 1829-9, (봉천동)	서울특별시 관악구 봉천동 858번지 4호	3200000-101-1983-00400	한식	<NA>	110.34	행운동	상수도전용
273	3200000	2005	281	20050614	20050630	20070727	<NA>	채쉐프 초장집	서울특별시 관악구 신림로 371, 1층 (신림동)	서울특별시 관악구 신림동 1431번지 2호	3200000-101-2003-00512	회집	활어회	81.82	신림동	상수도전용
274	3200000	<NA>	<NA>	20090313	<NA>	<NA>	<NA>	채쉐프 초장집	서울특별시 관악구 신림로 371, 1층 (신림동)	서울특별시 관악구 신림동 1431번지 2호	3200000-101-2003-00512	회집	<NA>	81.82	신림동	상수도전용
275	3200000	2018	93	20130704	20181109	20191018	<NA>	채쉐프 초장집	서울특별시 관악구 신림로 371, 1층 (신림동)	서울특별시 관악구 신림동 1431번지 2호	3200000-101-2003-00512	회집	<NA>	81.82	신림동	상수도전용

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

ASCII

Hangul

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block