gimi9 Pandas Profiling

Dataset statistics

Number of variables	15
Number of observations	83
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.3 KiB
Average record size in memory	126.6 B

Variable types

Text	6
Numeric	6
Categorical	3

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMRETAILSHOP003FREE

Alerts

`M014` is highly overall correlated with `59108` and 2 other fields	High correlation
`홈플러스` is highly overall correlated with `59108` and 2 other fields	High correlation
`대형마트` is highly overall correlated with `59108` and 2 other fields	High correlation
`299017` is highly overall correlated with `551307` and 2 other fields	High correlation
`551307` is highly overall correlated with `299017` and 2 other fields	High correlation
`59108` is highly overall correlated with `M014` and 2 other fields	High correlation
`1150010200006390011` is highly overall correlated with `299017` and 2 other fields	High correlation
`1150010200106390011027411` is highly overall correlated with `299017` and 2 other fields	High correlation
`M0004046` has unique values	Unique
`서울 강서구 등촌동 639-11` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:17:00.442068
Analysis finished	2023-12-10 06:17:15.981731
Duration	15.54 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

M0004046
Text

UNIQUE

Distinct	83
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	664
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	83 ?
Unique (%)	100.0%

Sample

1st row	S0005412
2nd row	M0005212
3rd row	O0004647
4th row	S0004590
5th row	S0000912

Value	Count	Frequency (%)
s0005412	1	1.2%
s0005097	1	1.2%
m0003633	1	1.2%
s0004013	1	1.2%
s0005114	1	1.2%
o0002504	1	1.2%
o0005464	1	1.2%
s0004144	1	1.2%
s0000970	1	1.2%
s0004990	1	1.2%
Other values (73)	73	88.0%

Most occurring characters

Value	Count	Frequency (%)
0	285	42.9%
4	72	10.8%
S	63	9.5%
3	47	7.1%
9	37	5.6%
5	34	5.1%
1	28	4.2%
2	24	3.6%
7	20	3.0%
8	18	2.7%
Other values (4)	36	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	581	87.5%
Uppercase Letter	83	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	285	49.1%
4	72	12.4%
3	47	8.1%
9	37	6.4%
5	34	5.9%
1	28	4.8%
2	24	4.1%
7	20	3.4%
8	18	3.1%
6	16	2.8%

Uppercase Letter

Value	Count	Frequency (%)
S	63	75.9%
D	8	9.6%
O	6	7.2%
M	6	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	581	87.5%
Latin	83	12.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	285	49.1%
4	72	12.4%
3	47	8.1%
9	37	6.4%
5	34	5.9%
1	28	4.8%
2	24	4.1%
7	20	3.4%
8	18	3.1%
6	16	2.8%

Latin

Value	Count	Frequency (%)
S	63	75.9%
D	8	9.6%
O	6	7.2%
M	6	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	664	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	285	42.9%
4	72	10.8%
S	63	9.5%
3	47	7.1%
9	37	5.6%
5	34	5.1%
1	28	4.2%
2	24	3.6%
7	20	3.0%
8	18	2.7%
Other values (4)	36	5.4%

강서점
Text

Distinct	58
Distinct (%)	69.9%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	8
Median length	3
Mean length	3.7108434
Min length	3

Characters and Unicode

Total characters	308
Distinct characters	83
Distinct categories	2 ?
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	44 ?
Unique (%)	53.0%

Sample

1st row	수서점
2nd row	삼양점
3rd row	선릉점
4th row	학동역점
5th row	가양동점

Value	Count	Frequency (%)
미아점	4	4.8%
가양점	4	4.8%
발산점	4	4.8%
도곡점	3	3.6%
개포점	3	3.6%
대치점	3	3.6%
세곡점	3	3.6%
강서점	3	3.6%
화곡점	2	2.4%
삼양점	2	2.4%
Other values (48)	52	62.7%

Most occurring characters

Value	Count	Frequency (%)
점	81	26.3%
곡	12	3.9%
삼	9	2.9%
동	8	2.6%
강	8	2.6%
서	7	2.3%
산	7	2.3%
양	7	2.3%
2	7	2.3%
포	7	2.3%
Other values (73)	155	50.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	299	97.1%
Decimal Number	9	2.9%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
점	81	27.1%
곡	12	4.0%
삼	9	3.0%
동	8	2.7%
강	8	2.7%
서	7	2.3%
산	7	2.3%
양	7	2.3%
포	7	2.3%
대	7	2.3%
Other values (70)	146	48.8%

Decimal Number

Value	Count	Frequency (%)
2	7	77.8%
3	1	11.1%
1	1	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	299	97.1%
Common	9	2.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
점	81	27.1%
곡	12	4.0%
삼	9	3.0%
동	8	2.7%
강	8	2.7%
서	7	2.3%
산	7	2.3%
양	7	2.3%
포	7	2.3%
대	7	2.3%
Other values (70)	146	48.8%

Common

Value	Count	Frequency (%)
2	7	77.8%
3	1	11.1%
1	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	299	97.1%
ASCII	9	2.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
점	81	27.1%
곡	12	4.0%
삼	9	3.0%
동	8	2.7%
강	8	2.7%
서	7	2.3%
산	7	2.3%
양	7	2.3%
포	7	2.3%
대	7	2.3%
Other values (70)	146	48.8%

ASCII

Value	Count	Frequency (%)
2	7	77.8%
3	1	11.1%
1	1	11.1%

서울특별시 강서구 등촌동 639-11번지
Text

Distinct	80
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	23
Median length	22
Mean length	20.409639
Min length	19

Characters and Unicode

Total characters	1694
Distinct characters	61
Distinct categories	4 ?
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	78 ?
Unique (%)	94.0%

Sample

1st row	서울특별시 강남구 일원동 711번지
2nd row	서울특별시 강북구 미아동 777-3번지
3rd row	서울특별시 강남구 역삼동 696-35번지
4th row	서울특별시 강남구 논현동 129번지
5th row	서울특별시 강서구 가양동 1474번지

Value	Count	Frequency (%)
서울특별시	83	25.0%
강남구	46	13.9%
강서구	27	8.1%
강북구	10	3.0%
대치동	9	2.7%
미아동	8	2.4%
삼성동	8	2.4%
내발산동	6	1.8%
도곡동	5	1.5%
방화동	5	1.5%
Other values (96)	125	37.7%

Most occurring characters

Value	Count	Frequency (%)
	249	14.7%
서	111	6.6%
구	85	5.0%
번	84	5.0%
특	83	4.9%
별	83	4.9%
시	83	4.9%
강	83	4.9%
동	83	4.9%
울	83	4.9%
Other values (51)	667	39.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1087	64.2%
Decimal Number	308	18.2%
Space Separator	249	14.7%
Dash Punctuation	50	3.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	111	10.2%
구	85	7.8%
번	84	7.7%
특	83	7.6%
별	83	7.6%
시	83	7.6%
강	83	7.6%
동	83	7.6%
울	83	7.6%
지	83	7.6%
Other values (39)	226	20.8%

Decimal Number

Value	Count	Frequency (%)
1	54	17.5%
6	38	12.3%
4	34	11.0%
5	32	10.4%
8	30	9.7%
9	28	9.1%
7	27	8.8%
2	27	8.8%
3	24	7.8%
0	14	4.5%

Space Separator

Value	Count	Frequency (%)
	249	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1087	64.2%
Common	607	35.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	111	10.2%
구	85	7.8%
번	84	7.7%
특	83	7.6%
별	83	7.6%
시	83	7.6%
강	83	7.6%
동	83	7.6%
울	83	7.6%
지	83	7.6%
Other values (39)	226	20.8%

Common

Value	Count	Frequency (%)
	249	41.0%
1	54	8.9%
-	50	8.2%
6	38	6.3%
4	34	5.6%
5	32	5.3%
8	30	4.9%
9	28	4.6%
7	27	4.4%
2	27	4.4%
Other values (2)	38	6.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1087	64.2%
ASCII	607	35.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	249	41.0%
1	54	8.9%
-	50	8.2%
6	38	6.3%
4	34	5.6%
5	32	5.3%
8	30	4.9%
9	28	4.6%
7	27	4.4%
2	27	4.4%
Other values (2)	38	6.3%

Hangul

Value	Count	Frequency (%)
서	111	10.2%
구	85	7.8%
번	84	7.7%
특	83	7.6%
별	83	7.6%
시	83	7.6%
강	83	7.6%
동	83	7.6%
울	83	7.6%
지	83	7.6%
Other values (39)	226	20.8%

서울특별시 강서구 화곡로 398
Text

Distinct	80
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	22
Median length	21
Mean length	17.855422
Min length	1

Characters and Unicode

Total characters	1482
Distinct characters	80
Distinct categories	5 ?
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	78 ?
Unique (%)	94.0%

Sample

1st row	서울특별시 강남구 양재대로55길 10
2nd row	서울특별시 강북구 삼양로 252
3rd row	서울특별시 강남구 선릉로 525
4th row	서울특별시 강남구 학동로 176
5th row	서울특별시 강서구 허준로 121

Value	Count	Frequency (%)
서울특별시	82	24.9%
강남구	45	13.7%
강서구	27	8.2%
강북구	10	3.0%
양천로	4	1.2%
도봉로	4	1.2%
도곡로	4	1.2%
삼성로	4	1.2%
27	3	0.9%
화곡로	3	0.9%
Other values (119)	143	43.5%

Most occurring characters

Value	Count	Frequency (%)
	246	16.6%
서	113	7.6%
강	87	5.9%
구	86	5.8%
특	82	5.5%
별	82	5.5%
시	82	5.5%
울	82	5.5%
로	79	5.3%
1	54	3.6%
Other values (70)	489	33.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	954	64.4%
Decimal Number	276	18.6%
Space Separator	246	16.6%
Dash Punctuation	5	0.3%
Uppercase Letter	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	113	11.8%
강	87	9.1%
구	86	9.0%
특	82	8.6%
별	82	8.6%
시	82	8.6%
울	82	8.6%
로	79	8.3%
남	48	5.0%
길	31	3.2%
Other values (57)	182	19.1%

Decimal Number

Value	Count	Frequency (%)
1	54	19.6%
5	40	14.5%
2	40	14.5%
3	28	10.1%
6	23	8.3%
7	22	8.0%
8	21	7.6%
0	20	7.2%
4	17	6.2%
9	11	4.0%

Space Separator

Value	Count	Frequency (%)
	246	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Uppercase Letter

Value	Count	Frequency (%)
X	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	954	64.4%
Common	527	35.6%
Latin	1	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	113	11.8%
강	87	9.1%
구	86	9.0%
특	82	8.6%
별	82	8.6%
시	82	8.6%
울	82	8.6%
로	79	8.3%
남	48	5.0%
길	31	3.2%
Other values (57)	182	19.1%

Common

Value	Count	Frequency (%)
	246	46.7%
1	54	10.2%
5	40	7.6%
2	40	7.6%
3	28	5.3%
6	23	4.4%
7	22	4.2%
8	21	4.0%
0	20	3.8%
4	17	3.2%
Other values (2)	16	3.0%

Latin

Value	Count	Frequency (%)
X	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	954	64.4%
ASCII	528	35.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	246	46.6%
1	54	10.2%
5	40	7.6%
2	40	7.6%
3	28	5.3%
6	23	4.4%
7	22	4.2%
8	21	4.0%
0	20	3.8%
4	17	3.2%
Other values (3)	17	3.2%

Hangul

Value	Count	Frequency (%)
서	113	11.8%
강	87	9.1%
구	86	9.0%
특	82	8.6%
별	82	8.6%
시	82	8.6%
울	82	8.6%
로	79	8.3%
남	48	5.0%
길	31	3.2%
Other values (57)	182	19.1%

299017
Real number (ℝ)

HIGH CORRELATION

Distinct	82
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	310238.33

Minimum	294453
Maximum	320879
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	879.0 B

Quantile statistics

Minimum	294453
5-th percentile	295843.9
Q1	298819.5
median	314789
Q3	316663.5
95-th percentile	320111
Maximum	320879
Range	26426
Interquartile range (IQR)	17844

Descriptive statistics

Standard deviation	8995.0064
Coefficient of variation (CV)	0.02899386
Kurtosis	-1.3319083
Mean	310238.33
Median Absolute Deviation (MAD)	2316
Skewness	-0.6915565
Sum	25749781
Variance	80910141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
294453	2	2.4%
319814	1	1.2%
298513	1	1.2%
316056	1	1.2%
315189	1	1.2%
314951	1	1.2%
317546	1	1.2%
317019	1	1.2%
297536	1	1.2%
298359	1	1.2%
Other values (72)	72	86.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
294453	2	2.4%
294536	1	1.2%
294873	1	1.2%
295822	1	1.2%
296041	1	1.2%
296531	1	1.2%
296871	1	1.2%
297337	1	1.2%
297536	1	1.2%
297574	1	1.2%

Value	Count	Frequency (%)
320879	1	1.2%
320824	1	1.2%
320690	1	1.2%
320474	1	1.2%
320144	1	1.2%
319814	1	1.2%
318819	1	1.2%
318451	1	1.2%
317646	1	1.2%
317546	1	1.2%

551307
Real number (ℝ)

HIGH CORRELATION

Distinct	81
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	548441.96

Minimum	540638
Maximum	559160
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	879.0 B

Quantile statistics

Minimum	540638
5-th percentile	542727.4
Q1	544125.5
median	547154
Q3	551341
95-th percentile	558417.5
Maximum	559160
Range	18522
Interquartile range (IQR)	7215.5

Descriptive statistics

Standard deviation	4940.5583
Coefficient of variation (CV)	0.009008352
Kurtosis	-0.43182848
Mean	548441.96
Median Absolute Deviation (MAD)	3365
Skewness	0.63708935
Sum	45520683
Variance	24409116
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
558433	2	2.4%
552796	2	2.4%
543831	1	1.2%
557748	1	1.2%
544543	1	1.2%
546059	1	1.2%
544088	1	1.2%
546076	1	1.2%
545931	1	1.2%
551171	1	1.2%
Other values (71)	71	85.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
540638	1	1.2%
540781	1	1.2%
540901	1	1.2%
541471	1	1.2%
542715	1	1.2%
542839	1	1.2%
543003	1	1.2%
543173	1	1.2%
543251	1	1.2%
543389	1	1.2%

Value	Count	Frequency (%)
559160	1	1.2%
558857	1	1.2%
558622	1	1.2%
558433	2	2.4%
558278	1	1.2%
558139	1	1.2%
557748	1	1.2%
557540	1	1.2%
557362	1	1.2%
552860	1	1.2%

282921
Real number (ℝ)

Distinct	80
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	231890.86

Minimum	8216
Maximum	509392
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	879.0 B

Quantile statistics

Minimum	8216
5-th percentile	14460.8
Q1	26582.5
median	270459
Q3	354754
95-th percentile	508825
Maximum	509392
Range	501176
Interquartile range (IQR)	328171.5

Descriptive statistics

Standard deviation	165953.29
Coefficient of variation (CV)	0.71565257
Kurtosis	-1.2178118
Mean	231890.86
Median Absolute Deviation (MAD)	144834
Skewness	-0.033982809
Sum	19246941
Variance	2.7540493 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
508825	3	3.6%
219899	2	2.4%
278405	1	1.2%
15142	1	1.2%
270532	1	1.2%
354081	1	1.2%
28665	1	1.2%
32731	1	1.2%
270438	1	1.2%
270459	1	1.2%
Other values (70)	70	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8216	1	1.2%
9911	1	1.2%
10717	1	1.2%
14142	1	1.2%
14394	1	1.2%
15062	1	1.2%
15142	1	1.2%
15629	1	1.2%
16215	1	1.2%
16355	1	1.2%

Value	Count	Frequency (%)
509392	1	1.2%
509043	1	1.2%
509018	1	1.2%
508825	3	3.6%
501183	1	1.2%
422428	1	1.2%
422411	1	1.2%
422057	1	1.2%
421710	1	1.2%
419788	1	1.2%

M014
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

S003	21
S020	18
S024	8
S014	7
S011	4
Other values (12)	25

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	6 ?
Unique (%)	7.2%

Sample

1st row	S011
2nd row	M005
3rd row	O009
4th row	S020
5th row	S024

Common Values

Value	Count	Frequency (%)
S003	21	25.3%
S020	18	21.7%
S024	8	9.6%
S014	7	8.4%
S011	4	4.8%
D025	4	4.8%
S001	4	4.8%
O009	4	4.8%
M009	3	3.6%
M005	2	2.4%
Other values (7)	8	9.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s003	21	25.3%
s020	18	21.7%
s024	8	9.6%
s014	7	8.4%
s011	4	4.8%
d025	4	4.8%
s001	4	4.8%
o009	4	4.8%
m009	3	3.6%
m005	2	2.4%
Other values (7)	8	9.6%

홈플러스
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	20.5%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

롯데슈퍼	21
홈플러스익스프레스	18
이마트에브리데이	8
GS수퍼마켓	7
하나로마트	4
Other values (12)	25

Length

Max length	15
Median length	9
Mean length	6.5301205
Min length	3

Unique

Unique	6 ?
Unique (%)	7.2%

Sample

1st row	하나로마트
2nd row	롯데마트
3rd row	오렌지팩토리아울렛
4th row	홈플러스익스프레스
5th row	이마트에브리데이

Common Values

Value	Count	Frequency (%)
롯데슈퍼	21	25.3%
홈플러스익스프레스	18	21.7%
이마트에브리데이	8	9.6%
GS수퍼마켓	7	8.4%
하나로마트	4	4.8%
롯데백화점/영플라자/애비뉴엘	4	4.8%
굿모닝마트	4	4.8%
오렌지팩토리아울렛	4	4.8%
이마트	3	3.6%
롯데마트	2	2.4%
Other values (7)	8	9.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
롯데슈퍼	21	25.3%
홈플러스익스프레스	18	21.7%
이마트에브리데이	8	9.6%
gs수퍼마켓	7	8.4%
하나로마트	4	4.8%
롯데백화점/영플라자/애비뉴엘	4	4.8%
굿모닝마트	4	4.8%
오렌지팩토리아울렛	4	4.8%
이마트	3	3.6%
롯데마트	2	2.4%
Other values (7)	8	9.6%

대형마트
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

슈퍼마켓	63
백화점	8
대형마트	6
아울렛	6

Length

Max length	4
Median length	4
Mean length	3.8313253
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	슈퍼마켓
2nd row	대형마트
3rd row	아울렛
4th row	슈퍼마켓
5th row	슈퍼마켓

Common Values

Value	Count	Frequency (%)
슈퍼마켓	63	75.9%
백화점	8	9.6%
대형마트	6	7.2%
아울렛	6	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
슈퍼마켓	63	75.9%
백화점	8	9.6%
대형마트	6	7.2%
아울렛	6	7.2%

서울 강서구 등촌동 639-11
Text

UNIQUE

Distinct	83
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	38
Median length	33
Mean length	18.325301
Min length	13

Characters and Unicode

Total characters	1521
Distinct characters	140
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	83 ?
Unique (%)	100.0%

Sample

1st row	서울 강남구 양재대로 55길 6 수서1단지아파트 상가
2nd row	서울 강북구 삼양로 252
3rd row	서울 강남구 선릉로 525 인포스톰 빌딩 1F
4th row	서울 강남구 학동로 176
5th row	서울 강서구 가양동 1474 경동대림아파트 상가동 지하 1층 101호

Value	Count	Frequency (%)
서울	82	20.8%
강남구	46	11.6%
강서구	27	6.8%
강북구	10	2.5%
1층	9	2.3%
지하	4	1.0%
언주로	4	1.0%
미아동	4	1.0%
선릉로	3	0.8%
압구정로	3	0.8%
Other values (176)	203	51.4%

Most occurring characters

Value	Count	Frequency (%)
	315	20.7%
서	115	7.6%
구	88	5.8%
강	87	5.7%
울	83	5.5%
1	75	4.9%
로	53	3.5%
남	49	3.2%
5	42	2.8%
2	39	2.6%
Other values (130)	575	37.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	859	56.5%
Decimal Number	322	21.2%
Space Separator	315	20.7%
Dash Punctuation	19	1.2%
Uppercase Letter	3	0.2%
Other Punctuation	1	0.1%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	115	13.4%
구	88	10.2%
강	87	10.1%
울	83	9.7%
로	53	6.2%
남	49	5.7%
동	34	4.0%
길	22	2.6%
층	13	1.5%
대	12	1.4%
Other values (112)	303	35.3%

Decimal Number

Value	Count	Frequency (%)
1	75	23.3%
5	42	13.0%
2	39	12.1%
3	29	9.0%
4	28	8.7%
6	27	8.4%
8	24	7.5%
7	23	7.1%
9	20	6.2%
0	15	4.7%

Uppercase Letter

Value	Count	Frequency (%)
B	1	33.3%
D	1	33.3%
F	1	33.3%

Space Separator

Value	Count	Frequency (%)
	315	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	859	56.5%
Common	659	43.3%
Latin	3	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	115	13.4%
구	88	10.2%
강	87	10.1%
울	83	9.7%
로	53	6.2%
남	49	5.7%
동	34	4.0%
길	22	2.6%
층	13	1.5%
대	12	1.4%
Other values (112)	303	35.3%

Common

Value	Count	Frequency (%)
	315	47.8%
1	75	11.4%
5	42	6.4%
2	39	5.9%
3	29	4.4%
4	28	4.2%
6	27	4.1%
8	24	3.6%
7	23	3.5%
9	20	3.0%
Other values (5)	37	5.6%

Latin

Value	Count	Frequency (%)
B	1	33.3%
D	1	33.3%
F	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	859	56.5%
ASCII	662	43.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	315	47.6%
1	75	11.3%
5	42	6.3%
2	39	5.9%
3	29	4.4%
4	28	4.2%
6	27	4.1%
8	24	3.6%
7	23	3.5%
9	20	3.0%
Other values (8)	40	6.0%

Hangul

Value	Count	Frequency (%)
서	115	13.4%
구	88	10.2%
강	87	10.1%
울	83	9.7%
로	53	6.2%
남	49	5.7%
동	34	4.0%
길	22	2.6%
층	13	1.5%
대	12	1.4%
Other values (112)	303	35.3%

59108
Real number (ℝ)

HIGH CORRELATION

Distinct	71
Distinct (%)	85.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-7232.0843

Minimum	-99999
Maximum	165000
Zeros	0
Zeros (%)	0.0%
Negative	11
Negative (%)	13.3%
Memory size	879.0 B

Quantile statistics

Minimum	-99999
5-th percentile	-99999
Q1	198.5
median	350
Q3	939.5
95-th percentile	28372
Maximum	165000
Range	264999
Interquartile range (IQR)	741

Descriptive statistics

Standard deviation	41678.974
Coefficient of variation (CV)	-5.7630653
Kurtosis	4.3939877
Mean	-7232.0843
Median Absolute Deviation (MAD)	314
Skewness	-0.51969593
Sum	-600263
Variance	1.7371369 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99999	11	13.3%
191	2	2.4%
298	2	2.4%
264	1	1.2%
170	1	1.2%
378	1	1.2%
4510	1	1.2%
207	1	1.2%
198	1	1.2%
165000	1	1.2%
Other values (61)	61	73.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-99999	11	13.3%
151	1	1.2%
166	1	1.2%
170	1	1.2%
177	1	1.2%
178	1	1.2%
184	1	1.2%
185	1	1.2%
191	2	2.4%
198	1	1.2%

Value	Count	Frequency (%)
165000	1	1.2%
60000	1	1.2%
31350	1	1.2%
30690	1	1.2%
28380	1	1.2%
28300	1	1.2%
25973	1	1.2%
25740	1	1.2%
23000	1	1.2%
15720	1	1.2%

20050908
Text

Distinct	80
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Memory size	796.0 B

Length

Max length	8
Median length	8
Mean length	7.7349398
Min length	1

Characters and Unicode

Total characters	642
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	78 ?
Unique (%)	94.0%

Sample

1st row	19960901
2nd row	20111007
3rd row	X
4th row	20101129
5th row	19931119

Value	Count	Frequency (%)
x	3	3.6%
20111209	2	2.4%
19960901	1	1.2%
20090508	1	1.2%
20110603	1	1.2%
20150429	1	1.2%
20161201	1	1.2%
20090409	1	1.2%
20100715	1	1.2%
20140627	1	1.2%
Other values (70)	70	84.3%

Most occurring characters

Value	Count	Frequency (%)
0	210	32.7%
2	139	21.7%
1	125	19.5%
9	55	8.6%
4	22	3.4%
6	20	3.1%
3	18	2.8%
5	18	2.8%
7	17	2.6%
8	15	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	639	99.5%
Uppercase Letter	3	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	210	32.9%
2	139	21.8%
1	125	19.6%
9	55	8.6%
4	22	3.4%
6	20	3.1%
3	18	2.8%
5	18	2.8%
7	17	2.7%
8	15	2.3%

Uppercase Letter

Value	Count	Frequency (%)
X	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	639	99.5%
Latin	3	0.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	210	32.9%
2	139	21.8%
1	125	19.6%
9	55	8.6%
4	22	3.4%
6	20	3.1%
3	18	2.8%
5	18	2.8%
7	17	2.7%
8	15	2.3%

Latin

Value	Count	Frequency (%)
X	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	642	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	210	32.7%
2	139	21.7%
1	125	19.5%
9	55	8.6%
4	22	3.4%
6	20	3.1%
3	18	2.8%
5	18	2.8%
7	17	2.6%
8	15	2.3%

1150010200006390011
Real number (ℝ)

HIGH CORRELATION

Distinct	80
Distinct (%)	96.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1576371 × 10¹⁸

Minimum	1.1305101 × 10¹⁸
Maximum	1.1680118 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	879.0 B

Quantile statistics

Minimum	1.1305101 × 10¹⁸
5-th percentile	1.1305101 × 10¹⁸
Q1	1.1500104 × 10¹⁸
median	1.1680103 × 10¹⁸
Q3	1.1680106 × 10¹⁸
95-th percentile	1.1680118 × 10¹⁸
Maximum	1.1680118 × 10¹⁸
Range	3.75017 × 10¹⁶
Interquartile range (IQR)	1.80002 × 10¹⁶

Descriptive statistics

Standard deviation	1.3010024 × 10¹⁶
Coefficient of variation (CV)	0.01123843
Kurtosis	-0.34709839
Mean	1.1576371 × 10¹⁸
Median Absolute Deviation (MAD)	1.5000045 × 10¹²
Skewness	-0.90935043
Sum	3.8501591 × 10¹⁸
Variance	1.6926073 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1150010900008860000	3	3.6%
1130510100001260003	2	2.4%
1168011400007110000	1	1.2%
1150010300009820017	1	1.2%
1168010500001450000	1	1.2%
1168010100007550000	1	1.2%
1168010800002580000	1	1.2%
1168010100007480014	1	1.2%
1168010500001640005	1	1.2%
1168010500001590000	1	1.2%
Other values (70)	70	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1130510100000700006	1	1.2%
1130510100001260003	2	2.4%
1130510100003180005	1	1.2%
1130510100007770003	1	1.2%
1130510100008120000	1	1.2%
1130510100013510000	1	1.2%
1130510100013570006	1	1.2%
1130510200001610001	1	1.2%
1130510300000540005	1	1.2%
1150010100002490008	1	1.2%

Value	Count	Frequency (%)
1168011800005380003	1	1.2%
1168011800005270000	1	1.2%
1168011800005180008	1	1.2%
1168011800004670007	1	1.2%
1168011800004640000	1	1.2%
1168011500007240000	1	1.2%
1168011400007110000	1	1.2%
1168011200006330000	1	1.2%
1168011100005940000	1	1.2%
1168011100005810000	1	1.2%

1150010200106390011027411
Real number (ℝ)

HIGH CORRELATION

Distinct	78
Distinct (%)	94.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1576371 × 10²⁴

Minimum	1.1305101 × 10²⁴
Maximum	1.1680118 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	879.0 B

Quantile statistics

Minimum	1.1305101 × 10²⁴
5-th percentile	1.1305101 × 10²⁴
Q1	1.1500104 × 10²⁴
median	1.1680103 × 10²⁴
Q3	1.1680106 × 10²⁴
95-th percentile	1.1680118 × 10²⁴
Maximum	1.1680118 × 10²⁴
Range	3.75017 × 10²²
Interquartile range (IQR)	1.80002 × 10²²

Descriptive statistics

Standard deviation	1.3010024 × 10²²
Coefficient of variation (CV)	0.01123843
Kurtosis	-0.34709839
Mean	1.1576371 × 10²⁴
Median Absolute Deviation (MAD)	1.5000045 × 10¹⁸
Skewness	-0.90935043
Sum	9.608388 × 10²⁵
Variance	1.6926073 × 10⁴⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.15001090010686e+24	3	3.6%
1.13051010010126e+24	2	2.4%
1.15001040010449e+24	2	2.4%
1.16801050010159e+24	2	2.4%
1.13051010011357e+24	1	1.2%
1.16801010010755e+24	1	1.2%
1.16801080010258e+24	1	1.2%
1.16801010010748e+24	1	1.2%
1.16801050010164e+24	1	1.2%
1.15001060010657e+24	1	1.2%
Other values (68)	68	81.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.1305101001007e+24	1	1.2%
1.13051010010126e+24	2	2.4%
1.13051010010318e+24	1	1.2%
1.13051010010777e+24	1	1.2%
1.13051010010812e+24	1	1.2%
1.13051010011351e+24	1	1.2%
1.13051010011357e+24	1	1.2%
1.13051020010161e+24	1	1.2%
1.13051030010054e+24	1	1.2%
1.15001010010249e+24	1	1.2%

Value	Count	Frequency (%)
1.16801180010538e+24	1	1.2%
1.16801180010527e+24	1	1.2%
1.16801180010518e+24	1	1.2%
1.16801180010467e+24	1	1.2%
1.16801180010464e+24	1	1.2%
1.16801150010724e+24	1	1.2%
1.16801140010711e+24	1	1.2%
1.16801120010633e+24	1	1.2%
1.16801110010594e+24	1	1.2%
1.1680111001029e+24	1	1.2%

Heatmap
Table

	M0004046	강서점	서울특별시 강서구 등촌동 639-11번지	서울특별시 강서구 화곡로 398	299017	551307	282921	M014	홈플러스	대형마트	서울 강서구 등촌동 639-11	59108	20050908	1150010200006390011	1150010200106390011027411
M0004046	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
강서점	1.000	1.000	0.997	0.997	0.966	0.990	0.658	0.000	0.000	0.000	1.000	0.516	0.984	1.000	1.000
서울특별시 강서구 등촌동 639-11번지	1.000	0.997	1.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	1.000	1.000	0.999	1.000	1.000
서울특별시 강서구 화곡로 398	1.000	0.997	1.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	1.000	1.000	0.999	1.000	1.000
299017	1.000	0.966	1.000	1.000	1.000	0.795	0.614	0.000	0.000	0.000	1.000	0.000	0.965	0.970	0.970
551307	1.000	0.990	1.000	1.000	0.795	1.000	0.838	0.000	0.000	0.000	1.000	0.128	0.984	1.000	1.000
282921	1.000	0.658	1.000	1.000	0.614	0.838	1.000	0.597	0.597	0.620	1.000	0.852	0.967	0.817	0.817
M014	1.000	0.000	0.000	0.000	0.000	0.000	0.597	1.000	1.000	1.000	1.000	0.979	0.879	0.000	0.000
홈플러스	1.000	0.000	0.000	0.000	0.000	0.000	0.597	1.000	1.000	1.000	1.000	0.979	0.879	0.000	0.000
대형마트	1.000	0.000	0.000	0.000	0.000	0.000	0.620	1.000	1.000	1.000	1.000	0.918	0.000	0.000	0.000
서울 강서구 등촌동 639-11	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
59108	1.000	0.516	1.000	1.000	0.000	0.128	0.852	0.979	0.979	0.918	1.000	1.000	1.000	0.037	0.037
20050908	1.000	0.984	0.999	0.999	0.965	0.984	0.967	0.879	0.879	0.000	1.000	1.000	1.000	0.933	0.933
1150010200006390011	1.000	1.000	1.000	1.000	0.970	1.000	0.817	0.000	0.000	0.000	1.000	0.037	0.933	1.000	1.000
1150010200106390011027411	1.000	1.000	1.000	1.000	0.970	1.000	0.817	0.000	0.000	0.000	1.000	0.037	0.933	1.000	1.000

Heatmap
Table

	M014	홈플러스	대형마트
M014	1.000	1.000	0.914
홈플러스	1.000	1.000	0.914
대형마트	0.914	0.914	1.000

Heatmap
Table

	299017	551307	282921	59108	1150010200006390011	1150010200106390011027411	M014	홈플러스	대형마트
299017	1.000	-0.776	0.096	-0.046	0.625	0.625	0.000	0.000	0.000
551307	-0.776	1.000	-0.055	0.123	-0.807	-0.807	0.000	0.000	0.015
282921	0.096	-0.055	1.000	0.110	0.148	0.148	0.280	0.280	0.309
59108	-0.046	0.123	0.110	1.000	-0.069	-0.069	0.887	0.887	0.568
1150010200006390011	0.625	-0.807	0.148	-0.069	1.000	1.000	0.000	0.000	0.000
1150010200106390011027411	0.625	-0.807	0.148	-0.069	1.000	1.000	0.000	0.000	0.000
M014	0.000	0.000	0.280	0.887	0.000	0.000	1.000	1.000	0.914
홈플러스	0.000	0.000	0.280	0.887	0.000	0.000	1.000	1.000	0.914
대형마트	0.000	0.015	0.309	0.568	0.000	0.000	0.914	0.914	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

	M0004046	강서점	서울특별시 강서구 등촌동 639-11번지	서울특별시 강서구 화곡로 398	299017	551307	282921	M014	홈플러스	대형마트	서울 강서구 등촌동 639-11	59108	20050908	1150010200006390011	1150010200106390011027411
0	S0005412	수서점	서울특별시 강남구 일원동 711번지	서울특별시 강남구 양재대로55길 10	319814	543831	278405	S011	하나로마트	슈퍼마켓	서울 강남구 양재대로 55길 6 수서1단지아파트 상가	683	19960901	1168011400007110000	1168011400107110000002111
1	M0005212	삼양점	서울특별시 강북구 미아동 777-3번지	서울특별시 강북구 삼양로 252	313555	558622	220269	M005	롯데마트	대형마트	서울 강북구 삼양로 252	5666	20111007	1130510100007770003	1130510100107770003031685
2	O0004647	선릉점	서울특별시 강남구 역삼동 696-35번지	서울특별시 강남구 선릉로 525	315987	545329	275401	O009	오렌지팩토리아울렛	아울렛	서울 강남구 선릉로 525 인포스톰 빌딩 1F	-99999	X	1168010100006960035	1168010100106960035027050
3	S0004590	학동역점	서울특별시 강남구 논현동 129번지	서울특별시 강남구 학동로 176	314463	546145	29514	S020	홈플러스익스프레스	슈퍼마켓	서울 강남구 학동로 176	231	20101129	1168010800001290000	1168010800101290000000001
4	S0000912	가양동점	서울특별시 강서구 가양동 1474번지	서울특별시 강서구 허준로 121	298938	552075	16433	S024	이마트에브리데이	슈퍼마켓	서울 강서구 가양동 1474 경동대림아파트 상가동 지하 1층 101호	476	19931119	1150010400014740000	1150010400114740000009559
5	M0003591	가양점	서울특별시 강서구 가양동 449-19번지	서울특별시 강서구 양천로 559	299635	551269	509043	M009	이마트	대형마트	서울 강서구 가양3동 449-19	15720	20000309	1150010400004490019	1150010400104490019009474
6	S0005008	강남영동점	서울특별시 강남구 논현동 140번지	서울특별시 강남구 강남대로128길 20	313893	545759	30773	S014	GS수퍼마켓	슈퍼마켓	서울 강남구 강남대로 128길 20	-99999	20141205	1168010800001400000	1168010800101400001008214
7	S0004159	신사점	서울특별시 강남구 신사동 568-11번지	서울특별시 강남구 압구정로18길 25	314062	547253	283725	S014	GS수퍼마켓	슈퍼마켓	서울 강남구 압구정로 18길 25	-99999	20091121	1168010700005680011	1168010700105680011010579
8	S0004153	도곡렉슬점	서울특별시 강남구 도곡동 527번지	서울특별시 강남구 선릉로 221	316432	544110	8216	S014	GS수퍼마켓	슈퍼마켓	서울 강남구 선릉로 225	-99999	20090902	1168011800005270000	1168011800105270000000024
9	S0003953	개화산점	서울특별시 강서구 방화동 533-9번지	서울특별시 강서구 양천로6길 15	294873	552860	16886	S003	롯데슈퍼	슈퍼마켓	서울 강서구 양천로6길 15 스카이마트	728	20091231	1150010900005330009	1150010900105330009003224

	M0004046	강서점	서울특별시 강서구 등촌동 639-11번지	서울특별시 강서구 화곡로 398	299017	551307	282921	M014	홈플러스	대형마트	서울 강서구 등촌동 639-11	59108	20050908	1150010200006390011	1150010200106390011027411
73	S0003777	논현2점	서울특별시 강남구 논현동 96-1번지	서울특별시 강남구 언주로148길 27	315044	546970	31246	S003	롯데슈퍼	슈퍼마켓	서울 강남구 언주로 148길 27	185	20121009	1168010800000960001	1168010800100960001005182
74	S0000953	번동점	서울특별시 강북구 번동 161-1번지	서울특별시 강북구 오현로32길 18	315478	558857	219454	S024	이마트에브리데이	슈퍼마켓	서울 강북구 번동 161-1	979	20100701	1130510200001610001	1130510200101610001014688
75	D0000001	명품관	서울특별시 강남구 압구정동 494번지	서울특별시 강남구 압구정로 343	315490	547738	509392	D001	갤러리아백화점	백화점	서울 강남구 압구정동 494 515	25973	19900901	1168011000004940000	1168011000104940000004966
76	S0003362	세곡점	서울특별시 강남구 세곡동 581번지	서울특별시 강남구 헌릉로 569	320690	540781	422411	S024	이마트에브리데이	슈퍼마켓	서울특별시 강남구 세곡동 581	330	20140123	1168011100005810000	1168011100102810004000001
77	O0004648	가양점	서울특별시 강서구 가양동 449-9번지	서울특별시 강서구 양천로 537	299466	551369	509018	O009	오렌지팩토리아울렛	아울렛	서울 강서구 양천로 537	-99999	X	1150010400004490009	1150010400104490001009343
78	S0003936	도곡점	서울특별시 강남구 도곡동 464번지	서울특별시 강남구 언주로 123	316161	543251	283142	S003	롯데슈퍼	슈퍼마켓	서울 강남구 언주로 123 재능빌딩 1층	440	20090926	1168011800004640000	1168011800104640000000495
79	S0000548	청담점	서울특별시 강남구 청담동 43-9번지	서울특별시 강남구 학동로 411	315749	546640	24452	S011	하나로마트	슈퍼마켓	서울 강남구 청담동 43-9	550	20020701	1168010400000430009	1168010400100430009018999
80	S0002913	도곡점	서울특별시 강남구 도곡동 467-7번지	서울특별시 강남구 언주로30길 21	316361	543389	16215	S001	굿모닝마트	슈퍼마켓	서울 강남구 도곡동 아카데미스위트 지하 1층	1955	20050902	1168011800004670007	1168011800104670007027461
81	S0004954	코엑스점	서울특별시 강남구 삼성동 107-6번지	서울특별시 강남구 봉은사로103길 5	317222	546283	349828	S003	롯데슈퍼	슈퍼마켓	서울 강남구 봉은사로 103길 5 지상1층	318	20100129	1168010500001070006	1168010500101070006015409
82	S0000963	미아동점	서울특별시 강북구 미아동 1351번지	서울특별시 강북구 도봉로 157	314302	558278	220788	S024	이마트에브리데이	슈퍼마켓	서울 강북구 미아동 1351 두원프라자	393	20090728	1130510100013510000	1130510100113510000022116

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

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

Space Separator

Dash Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values

Length

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Other Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul