gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	133
Missing cells	22
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	17.7 KiB
Average record size in memory	136.0 B

Variable types

Categorical	5
Numeric	6
Text	5

Dataset

Description	시군구코드,지정년도,지정번호,신청일자,지정일자,취소일자,업소명,소재지도로명,소재지지번,허가(신고)번호,업태명,지정취소사유,주된음식,영업장면적(㎡),행정동명,급수시설구분
Author	금천구
URL	https://data.seoul.go.kr/dataList/OA-10158/S/1/datasetView.do

Alerts

`시군구코드` has constant value ""	Constant
`행정동명` is highly overall correlated with `급수시설구분`	High correlation
`업태명` is highly overall correlated with `급수시설구분`	High correlation
`지정취소사유` is highly overall correlated with `지정년도` and 3 other fields	High correlation
`급수시설구분` is highly overall correlated with `지정년도` and 8 other fields	High correlation
`지정년도` is highly overall correlated with `신청일자` and 4 other fields	High correlation
`지정번호` is highly overall correlated with `급수시설구분`	High correlation
`신청일자` is highly overall correlated with `지정년도` and 3 other fields	High correlation
`지정일자` is highly overall correlated with `지정년도` and 4 other fields	High correlation
`취소일자` is highly overall correlated with `지정년도` and 4 other fields	High correlation
`영업장면적(㎡)` is highly overall correlated with `급수시설구분`	High correlation
`업태명` is highly imbalanced (69.9%)	Imbalance
`급수시설구분` is highly imbalanced (73.5%)	Imbalance
`주된음식` has 22 (16.5%) missing values	Missing

Reproduction

Analysis started	2024-05-18 07:31:29.057134
Analysis finished	2024-05-18 07:31:45.593965
Duration	16.54 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시군구코드
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

3170000	133

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3170000
2nd row	3170000
3rd row	3170000
4th row	3170000
5th row	3170000

Common Values

Value	Count	Frequency (%)
3170000	133	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3170000	133	100.0%

지정년도
Real number (ℝ)

HIGH CORRELATION

Distinct	13
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2006.1805

Minimum	1987
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	1987
5-th percentile	2003
Q1	2004
median	2006
Q3	2008
95-th percentile	2015
Maximum	2016
Range	29
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.3524769
Coefficient of variation (CV)	0.0026679937
Kurtosis	5.6354035
Mean	2006.1805
Median Absolute Deviation (MAD)	2
Skewness	-1.6354586
Sum	266822
Variance	28.649009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2004	35	26.3%
2006	21	15.8%
2008	17	12.8%
2007	10	7.5%
2009	9	6.8%
2010	8	6.0%
1987	6	4.5%
2003	6	4.5%
2005	6	4.5%
2016	5	3.8%
Other values (3)	10	7.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1987	6	4.5%
2003	6	4.5%
2004	35	26.3%
2005	6	4.5%
2006	21	15.8%
2007	10	7.5%
2008	17	12.8%
2009	9	6.8%
2010	8	6.0%
2013	5	3.8%

Value	Count	Frequency (%)
2016	5	3.8%
2015	4	3.0%
2014	1	0.8%
2013	5	3.8%
2010	8	6.0%
2009	9	6.8%
2008	17	12.8%
2007	10	7.5%
2006	21	15.8%
2005	6	4.5%

지정번호
Real number (ℝ)

HIGH CORRELATION

Distinct	92
Distinct (%)	69.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.639098

Minimum	1
Maximum	1562
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	17
median	41
Q3	167
95-th percentile	226.2
Maximum	1562
Range	1561
Interquartile range (IQR)	150

Descriptive statistics

Standard deviation	150.55203
Coefficient of variation (CV)	1.6428799
Kurtosis	69.19577
Mean	91.639098
Median Absolute Deviation (MAD)	31
Skewness	7.2218015
Sum	12188
Variance	22665.914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	4	3.0%
15	4	3.0%
23	4	3.0%
14	3	2.3%
27	3	2.3%
1	3	2.3%
33	3	2.3%
18	3	2.3%
10	3	2.3%
22	3	2.3%
Other values (82)	100	75.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	2.3%
2	1	0.8%
3	1	0.8%
5	1	0.8%
6	2	1.5%
7	2	1.5%
8	1	0.8%
9	1	0.8%
10	3	2.3%
11	2	1.5%

Value	Count	Frequency (%)
1562	1	0.8%
244	1	0.8%
240	1	0.8%
235	1	0.8%
234	1	0.8%
233	1	0.8%
228	1	0.8%
225	1	0.8%
223	1	0.8%
222	1	0.8%

신청일자
Real number (ℝ)

HIGH CORRELATION

Distinct	24
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20063279

Minimum	19870409
Maximum	20161226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	19870409
5-th percentile	20030310
Q1	20040701
median	20060510
Q3	20080717
95-th percentile	20151023
Maximum	20161226
Range	290817
Interquartile range (IQR)	40016

Descriptive statistics

Standard deviation	51233.4
Coefficient of variation (CV)	0.0025535906
Kurtosis	5.6453959
Mean	20063279
Median Absolute Deviation (MAD)	20088
Skewness	-1.481519
Sum	2.6684161 × 10⁹
Variance	2.6248613 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
20060510	21	15.8%
20040701	20	15.0%
20040422	14	10.5%
20080630	14	10.5%
20100813	7	5.3%
20070706	7	5.3%
20030310	7	5.3%
20090703	7	5.3%
20161226	5	3.8%
20050720	5	3.8%
Other values (14)	26	19.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19870409	4	3.0%
19880525	1	0.8%
19981210	1	0.8%
20030310	7	5.3%
20040422	14	10.5%
20040701	20	15.0%
20050607	1	0.8%
20050720	5	3.8%
20060510	21	15.8%
20070510	3	2.3%

Value	Count	Frequency (%)
20161226	5	3.8%
20151023	4	3.0%
20141231	1	0.8%
20131022	2	1.5%
20130531	3	2.3%
20100930	1	0.8%
20100813	7	5.3%
20091123	1	0.8%
20090804	1	0.8%
20090703	7	5.3%

지정일자
Real number (ℝ)

HIGH CORRELATION

Distinct	17
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20062556

Minimum	19870409
Maximum	20161226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	19870409
5-th percentile	20030422
Q1	20040720
median	20060710
Q3	20080717
95-th percentile	20151130
Maximum	20161226
Range	290817
Interquartile range (IQR)	39997

Descriptive statistics

Standard deviation	53668.547
Coefficient of variation (CV)	0.0026750602
Kurtosis	5.6133072
Mean	20062556
Median Absolute Deviation (MAD)	20007
Skewness	-1.6275016
Sum	2.66832 × 10⁹
Variance	2.8803129 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
20060710	21	15.8%
20040701	17	12.8%
20080717	17	12.8%
20040721	10	7.5%
20070726	10	7.5%
20040720	8	6.0%
20090804	8	6.0%
20100930	8	6.0%
20030422	6	4.5%
19870409	6	4.5%
Other values (7)	22	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19870409	6	4.5%
20030422	6	4.5%
20040701	17	12.8%
20040720	8	6.0%
20040721	10	7.5%
20050720	6	4.5%
20060710	21	15.8%
20070726	10	7.5%
20080717	17	12.8%
20090804	8	6.0%

Value	Count	Frequency (%)
20161226	5	3.8%
20151130	4	3.0%
20141231	1	0.8%
20131210	2	1.5%
20130716	3	2.3%
20100930	8	6.0%
20091123	1	0.8%
20090804	8	6.0%
20080717	17	12.8%
20070726	10	7.5%

취소일자
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	38.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20118177

Minimum	20030310
Maximum	20231108
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	20030310
5-th percentile	20042776
Q1	20080109
median	20111220
Q3	20141224
95-th percentile	20221213
Maximum	20231108
Range	200798
Interquartile range (IQR)	61115

Descriptive statistics

Standard deviation	54723.24
Coefficient of variation (CV)	0.0027200895
Kurtosis	-0.4460876
Mean	20118177
Median Absolute Deviation (MAD)	30004
Skewness	0.59003384
Sum	2.6757175 × 10⁹
Variance	2.994633 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20111220	15	11.3%
20221213	12	9.0%
20141224	11	8.3%
20090804	11	8.3%
20100930	10	7.5%
20121130	9	6.8%
20030310	6	4.5%
20070726	6	4.5%
20231108	4	3.0%
20171227	3	2.3%
Other values (41)	46	34.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20030310	6	4.5%
20030702	1	0.8%
20050825	1	0.8%
20051004	1	0.8%
20051012	1	0.8%
20051101	1	0.8%
20060104	1	0.8%
20060126	1	0.8%
20060303	1	0.8%
20060331	1	0.8%

Value	Count	Frequency (%)
20231108	4	3.0%
20221213	12	9.0%
20201007	1	0.8%
20200903	1	0.8%
20191118	1	0.8%
20191004	1	0.8%
20181218	1	0.8%
20181217	3	2.3%
20171227	3	2.3%
20171219	1	0.8%

업소명
Text

Distinct	112
Distinct (%)	84.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Length

Max length	21
Median length	12
Mean length	6.8421053
Min length	1

Characters and Unicode

Total characters	910
Distinct characters	257
Distinct categories	8 ?
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	92 ?
Unique (%)	69.2%

Sample

1st row	한방전주콩나물국밥 시흥점
2nd row	국빈성
3rd row	금천장어구이
4th row	라이코스
5th row	청진동해장국

Value	Count	Frequency (%)
가산점	6	3.2%
독산점	4	2.1%
더덕솥뚜껑삼겹살	3	1.6%
전주웰빙	2	1.1%
정통	2	1.1%
춘천	2	1.1%
닭갈비	2	1.1%
대관령동태탕	2	1.1%
무드무드	2	1.1%
훌랄라독산1동점	2	1.1%
Other values (134)	160	85.6%

Most occurring characters

Value	Count	Frequency (%)
	54	5.9%
점	32	3.5%
산	29	3.2%
가	20	2.2%
동	17	1.9%
비	14	1.5%
갈	14	1.5%
식	13	1.4%
대	12	1.3%
한	12	1.3%
Other values (247)	693	76.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	820	90.1%
Space Separator	54	5.9%
Uppercase Letter	13	1.4%
Decimal Number	8	0.9%
Other Punctuation	6	0.7%
Close Punctuation	3	0.3%
Open Punctuation	3	0.3%
Lowercase Letter	3	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	32	3.9%
산	29	3.5%
가	20	2.4%
동	17	2.1%
비	14	1.7%
갈	14	1.7%
식	13	1.6%
대	12	1.5%
한	12	1.5%
국	12	1.5%
Other values (227)	645	78.7%

Uppercase Letter

Value	Count	Frequency (%)
E	2	15.4%
L	2	15.4%
O	2	15.4%
S	2	15.4%
J	1	7.7%
N	1	7.7%
U	1	7.7%
A	1	7.7%
G	1	7.7%

Other Punctuation

Value	Count	Frequency (%)
.	2	33.3%
?	2	33.3%
&	2	33.3%

Lowercase Letter

Value	Count	Frequency (%)
c	1	33.3%
h	1	33.3%
b	1	33.3%

Decimal Number

Value	Count	Frequency (%)
1	5	62.5%
2	3	37.5%

Space Separator

Value	Count	Frequency (%)
	54	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	820	90.1%
Common	74	8.1%
Latin	16	1.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	32	3.9%
산	29	3.5%
가	20	2.4%
동	17	2.1%
비	14	1.7%
갈	14	1.7%
식	13	1.6%
대	12	1.5%
한	12	1.5%
국	12	1.5%
Other values (227)	645	78.7%

Latin

Value	Count	Frequency (%)
E	2	12.5%
L	2	12.5%
O	2	12.5%
S	2	12.5%
J	1	6.2%
N	1	6.2%
U	1	6.2%
A	1	6.2%
c	1	6.2%
h	1	6.2%
Other values (2)	2	12.5%

Common

Value	Count	Frequency (%)
	54	73.0%
1	5	6.8%
)	3	4.1%
(	3	4.1%
2	3	4.1%
.	2	2.7%
?	2	2.7%
&	2	2.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	820	90.1%
ASCII	90	9.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	54	60.0%
1	5	5.6%
)	3	3.3%
(	3	3.3%
2	3	3.3%
E	2	2.2%
.	2	2.2%
L	2	2.2%
?	2	2.2%
O	2	2.2%
Other values (10)	12	13.3%

Hangul

Value	Count	Frequency (%)
점	32	3.9%
산	29	3.5%
가	20	2.4%
동	17	2.1%
비	14	1.7%
갈	14	1.7%
식	13	1.6%
대	12	1.5%
한	12	1.5%
국	12	1.5%
Other values (227)	645	78.7%

소재지도로명
Text

Distinct	112
Distinct (%)	84.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Length

Max length	62
Median length	47
Mean length	35.789474
Min length	24

Characters and Unicode

Total characters	4760
Distinct characters	127
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	92 ?
Unique (%)	69.2%

Sample

1st row	서울특별시 금천구 독산로 49, 지상1층 (시흥동)
2nd row	서울특별시 금천구 시흥대로52길 7, (시흥동,지상1층 (대명시장길 40))
3rd row	서울특별시 금천구 시흥대로152길 11-43, 105~107, 109, 110호 (독산동, 삼부르네상스플러스 )
4th row	서울특별시 금천구 시흥대로50길 17, (시흥동, 지상1층)
5th row	서울특별시 금천구 독산로 191-1, (독산동, 지상1층)

Value	Count	Frequency (%)
서울특별시	133	15.7%
금천구	133	15.7%
지상1층	46	5.4%
독산동	34	4.0%
가산동	30	3.5%
시흥동	29	3.4%
시흥대로	24	2.8%
독산로	17	2.0%
벚꽃로	11	1.3%
시흥동,지상1층	9	1.1%
Other values (218)	381	45.0%

Most occurring characters

Value	Count	Frequency (%)
	714	15.0%
1	275	5.8%
시	235	4.9%
,	233	4.9%
(	161	3.4%
)	161	3.4%
산	146	3.1%
로	142	3.0%
동	141	3.0%
금	139	2.9%
Other values (117)	2413	50.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2650	55.7%
Decimal Number	780	16.4%
Space Separator	714	15.0%
Other Punctuation	233	4.9%
Open Punctuation	161	3.4%
Close Punctuation	161	3.4%
Uppercase Letter	36	0.8%
Dash Punctuation	22	0.5%
Math Symbol	3	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	235	8.9%
산	146	5.5%
로	142	5.4%
동	141	5.3%
금	139	5.2%
구	136	5.1%
울	133	5.0%
천	133	5.0%
별	133	5.0%
특	133	5.0%
Other values (96)	1179	44.5%

Decimal Number

Value	Count	Frequency (%)
1	275	35.3%
2	112	14.4%
5	72	9.2%
4	56	7.2%
3	51	6.5%
6	50	6.4%
0	46	5.9%
8	44	5.6%
9	41	5.3%
7	33	4.2%

Uppercase Letter

Value	Count	Frequency (%)
B	25	69.4%
A	5	13.9%
S	3	8.3%
J	2	5.6%
K	1	2.8%

Space Separator

Value	Count	Frequency (%)
	714	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	233	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	161	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	161	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Math Symbol

Value	Count	Frequency (%)
~	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2650	55.7%
Common	2074	43.6%
Latin	36	0.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	235	8.9%
산	146	5.5%
로	142	5.4%
동	141	5.3%
금	139	5.2%
구	136	5.1%
울	133	5.0%
천	133	5.0%
별	133	5.0%
특	133	5.0%
Other values (96)	1179	44.5%

Common

Value	Count	Frequency (%)
	714	34.4%
1	275	13.3%
,	233	11.2%
(	161	7.8%
)	161	7.8%
2	112	5.4%
5	72	3.5%
4	56	2.7%
3	51	2.5%
6	50	2.4%
Other values (6)	189	9.1%

Latin

Value	Count	Frequency (%)
B	25	69.4%
A	5	13.9%
S	3	8.3%
J	2	5.6%
K	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2650	55.7%
ASCII	2110	44.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	714	33.8%
1	275	13.0%
,	233	11.0%
(	161	7.6%
)	161	7.6%
2	112	5.3%
5	72	3.4%
4	56	2.7%
3	51	2.4%
6	50	2.4%
Other values (11)	225	10.7%

Hangul

Value	Count	Frequency (%)
시	235	8.9%
산	146	5.5%
로	142	5.4%
동	141	5.3%
금	139	5.2%
구	136	5.1%
울	133	5.0%
천	133	5.0%
별	133	5.0%
특	133	5.0%
Other values (96)	1179	44.5%

소재지지번
Text

Distinct	111
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Length

Max length	50
Median length	45
Mean length	33.421053
Min length	25

Characters and Unicode

Total characters	4445
Distinct characters	117
Distinct categories	8 ?
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	90 ?
Unique (%)	67.7%

Sample

1st row	서울특별시 금천구 시흥동 896번지 15호
2nd row	서울특별시 금천구 시흥동 890번지 9호 지상1층 (대명시장길 40)
3rd row	서울특별시 금천구 독산동 953번지 삼부르네상스플러스
4th row	서울특별시 금천구 시흥동 891번지 6호 지상1층
5th row	서울특별시 금천구 독산동 1043번지 10호 지상1층

Value	Count	Frequency (%)
서울특별시	133	15.8%
금천구	133	15.8%
지상1층	52	6.2%
시흥동	47	5.6%
독산동	44	5.2%
가산동	42	5.0%
9호	10	1.2%
143번지	9	1.1%
10호	8	0.9%
60번지	8	0.9%
Other values (201)	358	42.4%

Most occurring characters

Value	Count	Frequency (%)
	993	22.3%
1	240	5.4%
지	213	4.8%
시	193	4.3%
동	138	3.1%
호	138	3.1%
구	135	3.0%
천	133	3.0%
울	133	3.0%
금	133	3.0%
Other values (107)	1996	44.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2436	54.8%
Space Separator	993	22.3%
Decimal Number	888	20.0%
Uppercase Letter	33	0.7%
Open Punctuation	31	0.7%
Close Punctuation	31	0.7%
Dash Punctuation	20	0.4%
Other Punctuation	13	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	213	8.7%
시	193	7.9%
동	138	5.7%
호	138	5.7%
구	135	5.5%
천	133	5.5%
울	133	5.5%
금	133	5.5%
별	133	5.5%
특	133	5.5%
Other values (87)	954	39.2%

Decimal Number

Value	Count	Frequency (%)
1	240	27.0%
2	100	11.3%
8	85	9.6%
0	84	9.5%
3	84	9.5%
9	75	8.4%
4	66	7.4%
5	62	7.0%
6	58	6.5%
7	34	3.8%

Uppercase Letter

Value	Count	Frequency (%)
B	22	66.7%
A	5	15.2%
S	3	9.1%
J	2	6.1%
K	1	3.0%

Space Separator

Value	Count	Frequency (%)
	993	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	31	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	31	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2436	54.8%
Common	1976	44.5%
Latin	33	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	213	8.7%
시	193	7.9%
동	138	5.7%
호	138	5.7%
구	135	5.5%
천	133	5.5%
울	133	5.5%
금	133	5.5%
별	133	5.5%
특	133	5.5%
Other values (87)	954	39.2%

Common

Value	Count	Frequency (%)
	993	50.3%
1	240	12.1%
2	100	5.1%
8	85	4.3%
0	84	4.3%
3	84	4.3%
9	75	3.8%
4	66	3.3%
5	62	3.1%
6	58	2.9%
Other values (5)	129	6.5%

Latin

Value	Count	Frequency (%)
B	22	66.7%
A	5	15.2%
S	3	9.1%
J	2	6.1%
K	1	3.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2436	54.8%
ASCII	2009	45.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	993	49.4%
1	240	11.9%
2	100	5.0%
8	85	4.2%
0	84	4.2%
3	84	4.2%
9	75	3.7%
4	66	3.3%
5	62	3.1%
6	58	2.9%
Other values (10)	162	8.1%

Hangul

Value	Count	Frequency (%)
지	213	8.7%
시	193	7.9%
동	138	5.7%
호	138	5.7%
구	135	5.5%
천	133	5.5%
울	133	5.5%
금	133	5.5%
별	133	5.5%
특	133	5.5%
Other values (87)	954	39.2%

허가(신고)번호
Text

Distinct	112
Distinct (%)	84.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Length

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

Characters and Unicode

Total characters	2926
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	92 ?
Unique (%)	69.2%

Sample

1st row	3170000-101-1991-04478
2nd row	3170000-101-1994-04453
3rd row	3170000-101-2005-00312
4th row	3170000-101-1998-01320
5th row	3170000-101-2003-00101

Value	Count	Frequency (%)
3170000-101-1989-05225	3	2.3%
3170000-101-2005-00217	2	1.5%
3170000-101-2001-06732	2	1.5%
3170000-101-2001-06951	2	1.5%
3170000-101-1994-04453	2	1.5%
3170000-101-2010-00300	2	1.5%
3170000-101-1986-04985	2	1.5%
3170000-101-1994-05198	2	1.5%
3170000-101-2002-05603	2	1.5%
3170000-101-1998-04539	2	1.5%
Other values (102)	112	84.2%

Most occurring characters

Value	Count	Frequency (%)
0	1072	36.6%
1	542	18.5%
-	399	13.6%
3	206	7.0%
7	186	6.4%
2	142	4.9%
9	132	4.5%
5	76	2.6%
4	65	2.2%
6	55	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2527	86.4%
Dash Punctuation	399	13.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1072	42.4%
1	542	21.4%
3	206	8.2%
7	186	7.4%
2	142	5.6%
9	132	5.2%
5	76	3.0%
4	65	2.6%
6	55	2.2%
8	51	2.0%

Dash Punctuation

Value	Count	Frequency (%)
-	399	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2926	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1072	36.6%
1	542	18.5%
-	399	13.6%
3	206	7.0%
7	186	6.4%
2	142	4.9%
9	132	4.5%
5	76	2.6%
4	65	2.2%
6	55	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2926	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1072	36.6%
1	542	18.5%
-	399	13.6%
3	206	7.0%
7	186	6.4%
2	142	4.9%
9	132	4.5%
5	76	2.6%
4	65	2.2%
6	55	1.9%

업태명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	10
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

한식	114
중국식	6
일식	3
호프/통닭	2
회집	2
Other values (5)	6

Length

Max length	8
Median length	2
Mean length	2.1804511
Min length	2

Unique

Unique	4 ?
Unique (%)	3.0%

Sample

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

Common Values

Value	Count	Frequency (%)
한식	114	85.7%
중국식	6	4.5%
일식	3	2.3%
호프/통닭	2	1.5%
회집	2	1.5%
경양식	2	1.5%
식육(숯불구이)	1	0.8%
분식	1	0.8%
통닭(치킨)	1	0.8%
기타	1	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
한식	114	85.7%
중국식	6	4.5%
일식	3	2.3%
호프/통닭	2	1.5%
회집	2	1.5%
경양식	2	1.5%
식육(숯불구이	1	0.8%
분식	1	0.8%
통닭(치킨	1	0.8%
기타	1	0.8%

지정취소사유
Categorical

HIGH CORRELATION

Distinct	38
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

영업자지위승계	20
<NA>	12
행정처분	10
폐업	9
위생등급 등외	8
Other values (33)	74

Length

Max length	31
Median length	22
Mean length	7.481203
Min length	2

Unique

Unique	21 ?
Unique (%)	15.8%

Sample

1st row	2010.01.26 지위승계
2nd row	영업자지위승계
3rd row	행정처분
4th row	신규자료입력을 위한 구자료 삭제
5th row	영업자지위승계

Common Values

Value	Count	Frequency (%)
영업자지위승계	20	15.0%
<NA>	12	9.0%
행정처분	10	7.5%
폐업	9	6.8%
위생등급 등외	8	6.0%
재평가 결과 등급외	8	6.0%
기준미달	7	5.3%
신규자료입력을 위한 구자료 삭제	6	4.5%
폐업(영업자변경)	6	4.5%
시설기준미달	6	4.5%
Other values (28)	41	30.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
영업자지위승계	20	9.4%
결과	12	5.6%
na	12	5.6%
행정처분	10	4.7%
등급외	10	4.7%
폐업	9	4.2%
재평가	9	4.2%
위생등급	9	4.2%
폐업(영업자변경	8	3.8%
등외	8	3.8%
Other values (44)	106	49.8%

주된음식
Text

MISSING

Distinct	54
Distinct (%)	48.6%
Missing	22
Missing (%)	16.5%
Memory size	1.2 KiB

Length

Max length	8
Median length	7
Mean length	3.2972973
Min length	2

Characters and Unicode

Total characters	366
Distinct characters	89
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	32 ?
Unique (%)	28.8%

Sample

1st row	고추장등짝갈비
2nd row	등심
3rd row	탕수육
4th row	닭갈비
5th row	아구찜

Value	Count	Frequency (%)
돼지갈비	16	14.3%
갈비탕	5	4.5%
식육	5	4.5%
삼겹살	5	4.5%
갈비	4	3.6%
보쌈	4	3.6%
팔보채	4	3.6%
소갈비	4	3.6%
아구찜	3	2.7%
백반	3	2.7%
Other values (44)	59	52.7%

Most occurring characters

Value	Count	Frequency (%)
갈	33	9.0%
비	33	9.0%
지	18	4.9%
탕	17	4.6%
돼	16	4.4%
보	10	2.7%
식	10	2.7%
삼	9	2.5%
살	8	2.2%
쌈	8	2.2%
Other values (79)	204	55.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	361	98.6%
Other Punctuation	4	1.1%
Space Separator	1	0.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
갈	33	9.1%
비	33	9.1%
지	18	5.0%
탕	17	4.7%
돼	16	4.4%
보	10	2.8%
식	10	2.8%
삼	9	2.5%
살	8	2.2%
쌈	8	2.2%
Other values (77)	199	55.1%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	361	98.6%
Common	5	1.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
갈	33	9.1%
비	33	9.1%
지	18	5.0%
탕	17	4.7%
돼	16	4.4%
보	10	2.8%
식	10	2.8%
삼	9	2.5%
살	8	2.2%
쌈	8	2.2%
Other values (77)	199	55.1%

Common

Value	Count	Frequency (%)
,	4	80.0%
	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	361	98.6%
ASCII	5	1.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
갈	33	9.1%
비	33	9.1%
지	18	5.0%
탕	17	4.7%
돼	16	4.4%
보	10	2.8%
식	10	2.8%
삼	9	2.5%
살	8	2.2%
쌈	8	2.2%
Other values (77)	199	55.1%

ASCII

Value	Count	Frequency (%)
,	4	80.0%
	1	20.0%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION

Distinct	111
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	163.38812

Minimum	15.26
Maximum	826
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.3 KiB

Quantile statistics

Minimum	15.26
5-th percentile	44.806
Q1	78.71
median	114.01
Q3	197.28
95-th percentile	560.518
Maximum	826
Range	810.74
Interquartile range (IQR)	118.57

Descriptive statistics

Standard deviation	154.22407
Coefficient of variation (CV)	0.94391239
Kurtosis	7.2956463
Mean	163.38812
Median Absolute Deviation (MAD)	45.88
Skewness	2.6316091
Sum	21730.62
Variance	23785.064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
102.48	3	2.3%
131.61	2	1.5%
63.12	2	1.5%
248.92	2	1.5%
78.36	2	1.5%
123.55	2	1.5%
78.71	2	1.5%
115.0	2	1.5%
53.2	2	1.5%
126.38	2	1.5%
Other values (101)	112	84.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.26	1	0.8%
22.4	1	0.8%
23.76	1	0.8%
32.4	1	0.8%
42.16	1	0.8%
43.69	2	1.5%
45.55	1	0.8%
49.32	1	0.8%
50.48	1	0.8%
51.1	1	0.8%

Value	Count	Frequency (%)
826.0	1	0.8%
811.7	1	0.8%
760.0	1	0.8%
686.4	1	0.8%
674.19	1	0.8%
577.16	1	0.8%
576.91	1	0.8%
549.59	1	0.8%
473.93	1	0.8%
354.85	2	1.5%

행정동명
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

가산동	42
시흥제1동	31
독산제1동	19
독산제3동	10
독산제4동	8
Other values (5)	23

Length

Max length	5
Median length	5
Mean length	4.3684211
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	시흥제1동
2nd row	시흥제1동
3rd row	독산제3동
4th row	시흥제1동
5th row	독산제2동

Common Values

Value	Count	Frequency (%)
가산동	42	31.6%
시흥제1동	31	23.3%
독산제1동	19	14.3%
독산제3동	10	7.5%
독산제4동	8	6.0%
독산제2동	7	5.3%
시흥제3동	5	3.8%
시흥제5동	5	3.8%
시흥제2동	3	2.3%
시흥제4동	3	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
가산동	42	31.6%
시흥제1동	31	23.3%
독산제1동	19	14.3%
독산제3동	10	7.5%
독산제4동	8	6.0%
독산제2동	7	5.3%
시흥제3동	5	3.8%
시흥제5동	5	3.8%
시흥제2동	3	2.3%
시흥제4동	3	2.3%

급수시설구분
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

상수도전용	127
<NA>	6

Length

Max length	5
Median length	5
Mean length	4.9548872
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
상수도전용	127	95.5%
<NA>	6	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
상수도전용	127	95.5%
na	6	4.5%

Heatmap
Table

	지정년도	지정번호	신청일자	지정일자	취소일자	업태명	지정취소사유	주된음식	영업장면적(㎡)	행정동명
지정년도	1.000	1.000	1.000	1.000	0.764	0.123	0.845	0.909	0.455	0.136
지정번호	1.000	1.000	1.000	1.000	0.472	0.636	0.449	0.919	0.000	0.163
신청일자	1.000	1.000	1.000	1.000	0.764	0.734	0.856	0.963	0.352	0.304
지정일자	1.000	1.000	1.000	1.000	0.764	0.123	0.845	0.909	0.455	0.136
취소일자	0.764	0.472	0.764	0.764	1.000	0.000	0.959	0.793	0.000	0.000
업태명	0.123	0.636	0.734	0.123	0.000	1.000	0.840	0.997	0.337	0.493
지정취소사유	0.845	0.449	0.856	0.845	0.959	0.840	1.000	0.880	0.672	0.000
주된음식	0.909	0.919	0.963	0.909	0.793	0.997	0.880	1.000	0.611	0.817
영업장면적(㎡)	0.455	0.000	0.352	0.455	0.000	0.337	0.672	0.611	1.000	0.335
행정동명	0.136	0.163	0.304	0.136	0.000	0.493	0.000	0.817	0.335	1.000

Heatmap
Table

	행정동명	업태명	지정취소사유	급수시설구분
행정동명	1.000	0.169	0.000	1.000
업태명	0.169	1.000	0.419	1.000
지정취소사유	0.000	0.419	1.000	1.000
급수시설구분	1.000	1.000	1.000	1.000

Heatmap
Table

	지정년도	지정번호	신청일자	지정일자	취소일자	영업장면적(㎡)	업태명	지정취소사유	행정동명	급수시설구분
지정년도	1.000	0.146	0.992	0.992	0.712	0.174	0.181	0.592	0.131	1.000
지정번호	0.146	1.000	0.173	0.177	-0.049	-0.122	0.469	0.207	0.092	1.000
신청일자	0.992	0.173	1.000	0.997	0.709	0.174	0.308	0.492	0.115	1.000
지정일자	0.992	0.177	0.997	1.000	0.706	0.167	0.181	0.592	0.131	1.000
취소일자	0.712	-0.049	0.709	0.706	1.000	0.176	0.048	0.737	0.088	1.000
영업장면적(㎡)	0.174	-0.122	0.174	0.167	0.176	1.000	0.158	0.269	0.157	1.000
업태명	0.181	0.469	0.308	0.181	0.048	0.158	1.000	0.419	0.169	1.000
지정취소사유	0.592	0.207	0.492	0.592	0.737	0.269	0.419	1.000	0.000	1.000
행정동명	0.131	0.092	0.115	0.131	0.088	0.157	0.169	0.000	1.000	1.000
급수시설구분	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000

Count
Matrix

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.

First rows
Last rows

	시군구코드	지정년도	지정번호	신청일자	지정일자	취소일자	업소명	소재지도로명	소재지지번	허가(신고)번호	업태명	지정취소사유	주된음식	영업장면적(㎡)	행정동명	급수시설구분
0	3170000	2006	13	20060510	20060710	20100930	한방전주콩나물국밥 시흥점	서울특별시 금천구 독산로 49, 지상1층 (시흥동)	서울특별시 금천구 시흥동 896번지 15호	3170000-101-1991-04478	한식	2010.01.26 지위승계	고추장등짝갈비	131.61	시흥제1동	상수도전용
1	3170000	2004	89	20040701	20040720	20060303	국빈성	서울특별시 금천구 시흥대로52길 7, (시흥동,지상1층 (대명시장길 40))	서울특별시 금천구 시흥동 890번지 9호 지상1층 (대명시장길 40)	3170000-101-1994-04453	중국식	영업자지위승계	등심	126.38	시흥제1동	상수도전용
2	3170000	2006	59	20060510	20060710	20100901	금천장어구이	서울특별시 금천구 시흥대로152길 11-43, 105~107, 109, 110호 (독산동, 삼부르네상스플러스 )	서울특별시 금천구 독산동 953번지 삼부르네상스플러스	3170000-101-2005-00312	한식	행정처분	탕수육	229.2	독산제3동	상수도전용
3	3170000	1987	1562	19981210	19870409	20030310	라이코스	서울특별시 금천구 시흥대로50길 17, (시흥동, 지상1층)	서울특별시 금천구 시흥동 891번지 6호 지상1층	3170000-101-1998-01320	호프/통닭	신규자료입력을 위한 구자료 삭제	닭갈비	49.32	시흥제1동	상수도전용
4	3170000	2004	58	20040422	20040701	20051012	청진동해장국	서울특별시 금천구 독산로 191-1, (독산동, 지상1층)	서울특별시 금천구 독산동 1043번지 10호 지상1층	3170000-101-2003-00101	한식	영업자지위승계	아구찜	112.46	독산제2동	상수도전용
5	3170000	2006	27	20060510	20060710	20080109	청진동해장국	서울특별시 금천구 독산로 191-1, (독산동, 지상1층)	서울특별시 금천구 독산동 1043번지 10호 지상1층	3170000-101-2003-00101	한식	행정처분	선지해장국	112.46	독산제2동	상수도전용
6	3170000	2010	233	20100813	20100930	20141224	메가커피 금천현대시장점	서울특별시 금천구 독산로 131, 지상1층 (시흥동)	서울특별시 금천구 시흥동 852번지 31호 지상1층	3170000-101-1999-05790	한식	위생등급 등외	<NA>	61.62	시흥제1동	상수도전용
7	3170000	2004	29	20040422	20040701	20060126	팔도생고기	서울특별시 금천구 범안로15길 4, (독산동, 지상1층)	서울특별시 금천구 독산동 331번지 43호 지상1층	3170000-101-1991-04973	한식	영업자지위승계	쌈밥	43.69	독산제1동	상수도전용
8	3170000	2004	71	20040701	20040720	20121022	돈가 대박집	서울특별시 금천구 독산로 226, (독산동)	서울특별시 금천구 독산동 1022번지 122호	3170000-101-1992-04803	한식	행정처분	냉면	156.08	독산제4동	상수도전용
9	3170000	2008	215	20080414	20080717	20121022	돈가 대박집	서울특별시 금천구 독산로 226, (독산동)	서울특별시 금천구 독산동 1022번지 122호	3170000-101-1992-04803	한식	행정처분	<NA>	156.08	독산제4동	상수도전용

	시군구코드	지정년도	지정번호	신청일자	지정일자	취소일자	업소명	소재지도로명	소재지지번	허가(신고)번호	업태명	지정취소사유	주된음식	영업장면적(㎡)	행정동명	급수시설구분
123	3170000	2006	50	20060510	20060710	20231108	명동칼국수	서울특별시 금천구 벚꽃로 278, SJ테크노빌 지하1층 B154호 (가산동)	서울특별시 금천구 가산동 60번지 19호 SJ테크노빌	3170000-101-2005-00133	한식	폐업(영업자 변경)	칼국수	241.2	가산동	상수도전용
124	3170000	2013	32	20131022	20131210	20231108	육감만족 가산디지털역점	서울특별시 금천구 가산디지털1로 168, A동 216호 (가산동, 우림라이온스밸리)	서울특별시 금천구 가산동 371번지 28호 A 우림라이온스밸리-216	3170000-101-2005-00217	한식	폐업(영업자 변경)	족발, 보쌈	198.79	가산동	상수도전용
125	3170000	2013	15	20130531	20130716	20231108	벽산 다온푸드	서울특별시 금천구 가산디지털1로 219, (가산동,벽산디지털밸리6차 B101,102호)	서울특별시 금천구 가산동 481번지 4호 벽산디지털밸리6차 B101,102호	3170000-101-2009-00111	한식	폐업(영업자 변경)	한식	674.19	가산동	상수도전용
126	3170000	2004	33	20040422	20040701	20061102	서귀포흑돈	서울특별시 금천구 가산로 49, 지상1~3층 (독산동)	서울특별시 금천구 독산동 288번지 11호	3170000-101-1993-05082	한식	영업자지위승계	소갈비	686.4	독산제1동	상수도전용
127	3170000	2008	192	20080630	20080717	20111220	청석골	서울특별시 금천구 독산로 351, 1층 (독산동)	서울특별시 금천구 독산동 959번지 9호	3170000-101-2005-00182	한식	재평가 결과 등급외	감자탕	109.34	독산제1동	상수도전용
128	3170000	2004	14	20040422	20040701	20140714	실크로드	서울특별시 금천구 가산로 147-5, (가산동, 지상1, 2층)	서울특별시 금천구 가산동 143번지 10호 지상1, 2층	3170000-101-2002-05370	중국식	행정처분	모듬회	256.65	가산동	상수도전용
129	3170000	2008	223	20080717	20080717	20160115	전주웰빙 한식뷔페 소고기삼겹살 무한리필	서울특별시 금천구 벚꽃로 298, (가산동,대륭포스트타워6차 B114, B115호)	서울특별시 금천구 가산동 50번지 3호 대륭포스트타워6차 B114, B115호	3170000-101-2010-00300	한식	중복지정	<NA>	248.92	가산동	<NA>
130	3170000	2015	15	20151023	20151130	20181217	전주웰빙 한식뷔페 소고기삼겹살 무한리필	서울특별시 금천구 벚꽃로 298, (가산동,대륭포스트타워6차 B114, B115호)	서울특별시 금천구 가산동 50번지 3호 대륭포스트타워6차 B114, B115호	3170000-101-2010-00300	한식	폐업	김치찌개,식육	248.92	가산동	<NA>
131	3170000	2008	165	20080630	20080717	20130716	SJ 구내식당	서울특별시 금천구 벚꽃로 278, SJ테크노빌 지하1층 B156,B156-2호 (가산동)	서울특별시 금천구 가산동 60번지 19호 SJ테크노빌 B156,B156-2	3170000-101-2007-00035	한식	지위승계	백반	826.0	가산동	상수도전용
132	3170000	2004	127	20040701	20040721	20060821	부뚜막	서울특별시 금천구 은행나무로 49, 지상1층 (시흥동)	서울특별시 금천구 시흥동 909번지 26호	3170000-101-1990-04461	한식	영업자지위승계	돼지갈비	136.82	시흥제5동	상수도전용

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Other Punctuation

Lowercase Letter

Decimal Number

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

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

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

Open Punctuation

Close Punctuation

Dash Punctuation

Other Punctuation

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

ASCII

Common Values

Length

Common Values (Plot)