gimi9 Pandas Profiling

Dataset statistics

Number of variables	20
Number of observations	681
Missing cells	2754
Missing cells (%)	20.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	115.2 KiB
Average record size in memory	173.2 B

Variable types

Numeric	7
Categorical	6
Text	4
Unsupported	2
DateTime	1

Dataset

Description	구분자(PK),카테고리 타입,카테고리,명칭,서울시 구 구분 코드,서울시 구 구분,상세주소,위치(위도,경도),위도,경도,웹사이트주소,평일오픈시간,평일클로즈시간,토요일오픈시간,토요일클로즈시간,일요일오픈시간,일요일클로즈시간,공휴일오픈시간,공휴일클로즈시간,생성일시
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-21095/S/1/datasetView.do

Alerts

`카테고리 타입` has constant value ""	Constant
`카테고리` has constant value ""	Constant
`일요일오픈시간` is highly overall correlated with `서울시 구 구분 코드` and 5 other fields	High correlation
`서울시 구 구분` is highly overall correlated with `서울시 구 구분 코드` and 6 other fields	High correlation
`토요일오픈시간` is highly overall correlated with `평일오픈시간` and 2 other fields	High correlation
`서울시 구 구분 코드` is highly overall correlated with `토요일클로즈시간` and 3 other fields	High correlation
`위도` is highly overall correlated with `서울시 구 구분` and 2 other fields	High correlation
`경도` is highly overall correlated with `서울시 구 구분` and 1 other fields	High correlation
`평일오픈시간` is highly overall correlated with `서울시 구 구분` and 3 other fields	High correlation
`평일클로즈시간` is highly overall correlated with `토요일클로즈시간` and 1 other fields	High correlation
`토요일클로즈시간` is highly overall correlated with `서울시 구 구분 코드` and 3 other fields	High correlation
`일요일클로즈시간` is highly overall correlated with `서울시 구 구분 코드` and 8 other fields	High correlation
`토요일오픈시간` is highly imbalanced (93.8%)	Imbalance
`일요일오픈시간` is highly imbalanced (97.0%)	Imbalance
`일요일클로즈시간` is highly imbalanced (96.4%)	Imbalance
`웹사이트주소` has 651 (95.6%) missing values	Missing
`평일오픈시간` has 36 (5.3%) missing values	Missing
`평일클로즈시간` has 36 (5.3%) missing values	Missing
`토요일클로즈시간` has 669 (98.2%) missing values	Missing
`공휴일오픈시간` has 681 (100.0%) missing values	Missing
`공휴일클로즈시간` has 681 (100.0%) missing values	Missing
`구분자(PK)` has unique values	Unique
`공휴일오픈시간` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`공휴일클로즈시간` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-05-04 03:23:31.787996
Analysis finished	2024-05-04 03:23:48.177921
Duration	16.39 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

구분자(PK)
Real number (ℝ)

UNIQUE

Distinct	681
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3786.5536

Minimum	18
Maximum	13385
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	18
5-th percentile	53
Q1	191
median	366
Q3	13016
95-th percentile	13317
Maximum	13385
Range	13367
Interquartile range (IQR)	12825

Descriptive statistics

Standard deviation	5706.7593
Coefficient of variation (CV)	1.5071117
Kurtosis	-0.92188899
Mean	3786.5536
Median Absolute Deviation (MAD)	203
Skewness	1.031581
Sum	2578643
Variance	32567102
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13385	1	0.1%
327	1	0.1%
297	1	0.1%
298	1	0.1%
505	1	0.1%
226	1	0.1%
504	1	0.1%
323	1	0.1%
324	1	0.1%
325	1	0.1%
Other values (671)	671	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	0.1%
19	1	0.1%
20	1	0.1%
21	1	0.1%
22	1	0.1%
23	1	0.1%
24	1	0.1%
25	1	0.1%
26	1	0.1%
27	1	0.1%

Value	Count	Frequency (%)
13385	1	0.1%
13384	1	0.1%
13383	1	0.1%
13382	1	0.1%
13381	1	0.1%
13380	1	0.1%
13379	1	0.1%
13378	1	0.1%
13374	1	0.1%
13364	1	0.1%

카테고리 타입
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

1	681

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	681	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	681	100.0%

카테고리
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

공구대여소	681

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
공구대여소	681	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공구대여소	681	100.0%

명칭
Text

Distinct	672
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

Length

Max length	23
Median length	20
Mean length	12.001468
Min length	3

Characters and Unicode

Total characters	8173
Distinct characters	345
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	663 ?
Unique (%)	97.4%

Sample

1st row	신정4동주민센터 공구대여소
2nd row	신월1동주민센터 공구대여소
3rd row	목5동주민센터 공구대여소
4th row	목2동주민센터 공구대여소
5th row	신정2동주민센터 공구대여소

Value	Count	Frequency (%)
공구대여소	314	23.2%
주민센터	93	6.9%
공구도서관	58	4.3%
공인중개사	40	3.0%
우리동네	33	2.4%
공구함	20	1.5%
부동산	9	0.7%
대여소	8	0.6%
생활공구	5	0.4%
생활공구대여소	5	0.4%
Other values (715)	769	56.8%

Most occurring characters

Value	Count	Frequency (%)
	684	8.4%
공	638	7.8%
동	525	6.4%
구	515	6.3%
소	470	5.8%
대	421	5.2%
여	395	4.8%
터	258	3.2%
센	254	3.1%
사	241	2.9%
Other values (335)	3772	46.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	7090	86.7%
Space Separator	684	8.4%
Decimal Number	319	3.9%
Open Punctuation	23	0.3%
Close Punctuation	23	0.3%
Uppercase Letter	18	0.2%
Other Punctuation	13	0.2%
Dash Punctuation	2	< 0.1%
Other Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
공	638	9.0%
동	525	7.4%
구	515	7.3%
소	470	6.6%
대	421	5.9%
여	395	5.6%
터	258	3.6%
센	254	3.6%
사	241	3.4%
민	222	3.1%
Other values (304)	3151	44.4%

Uppercase Letter

Value	Count	Frequency (%)
L	4	22.2%
A	3	16.7%
B	2	11.1%
C	2	11.1%
J	1	5.6%
I	1	5.6%
Y	1	5.6%
D	1	5.6%
U	1	5.6%
G	1	5.6%

Decimal Number

Value	Count	Frequency (%)
1	106	33.2%
2	103	32.3%
3	47	14.7%
4	29	9.1%
5	11	3.4%
6	8	2.5%
8	5	1.6%
7	4	1.3%
0	4	1.3%
9	2	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	7	53.8%
,	4	30.8%
'	2	15.4%

Open Punctuation

Value	Count	Frequency (%)
(	22	95.7%
「	1	4.3%

Close Punctuation

Value	Count	Frequency (%)
)	22	95.7%
」	1	4.3%

Space Separator

Value	Count	Frequency (%)
	684	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	7091	86.8%
Common	1064	13.0%
Latin	18	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
공	638	9.0%
동	525	7.4%
구	515	7.3%
소	470	6.6%
대	421	5.9%
여	395	5.6%
터	258	3.6%
센	254	3.6%
사	241	3.4%
민	222	3.1%
Other values (305)	3152	44.5%

Common

Value	Count	Frequency (%)
	684	64.3%
1	106	10.0%
2	103	9.7%
3	47	4.4%
4	29	2.7%
(	22	2.1%
)	22	2.1%
5	11	1.0%
6	8	0.8%
.	7	0.7%
Other values (9)	25	2.3%

Latin

Value	Count	Frequency (%)
L	4	22.2%
A	3	16.7%
B	2	11.1%
C	2	11.1%
J	1	5.6%
I	1	5.6%
Y	1	5.6%
D	1	5.6%
U	1	5.6%
G	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	7090	86.7%
ASCII	1080	13.2%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	684	63.3%
1	106	9.8%
2	103	9.5%
3	47	4.4%
4	29	2.7%
(	22	2.0%
)	22	2.0%
5	11	1.0%
6	8	0.7%
.	7	0.6%
Other values (18)	41	3.8%

Hangul

Value	Count	Frequency (%)
공	638	9.0%
동	525	7.4%
구	515	7.3%
소	470	6.6%
대	421	5.9%
여	395	5.6%
터	258	3.6%
센	254	3.6%
사	241	3.4%
민	222	3.1%
Other values (304)	3151	44.4%

None

Value	Count	Frequency (%)
㈜	1	33.3%
」	1	33.3%
「	1	33.3%

서울시 구 구분 코드
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.712188

Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	16
Q3	20
95-th percentile	24
Maximum	28
Range	27
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	7.4460401
Coefficient of variation (CV)	0.54302348
Kurtosis	-1.3306072
Mean	13.712188
Median Absolute Deviation (MAD)	5
Skewness	-0.30720937
Sum	9338
Variance	55.443513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
21	86	12.6%
18	61	9.0%
20	60	8.8%
5	44	6.5%
2	43	6.3%
17	28	4.1%
11	27	4.0%
3	26	3.8%
1	25	3.7%
7	23	3.4%
Other values (16)	258	37.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	25	3.7%
2	43	6.3%
3	26	3.8%
4	17	2.5%
5	44	6.5%
6	17	2.5%
7	23	3.4%
8	15	2.2%
9	18	2.6%
10	14	2.1%

Value	Count	Frequency (%)
28	1	0.1%
25	17	2.5%
24	19	2.8%
23	18	2.6%
22	21	3.1%
21	86	12.6%
20	60	8.8%
19	22	3.2%
18	61	9.0%
17	28	4.1%

서울시 구 구분
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

용산구	86
송파구	61
영등포구	60
관악구	44
강동구	43
Other values (21)	387

Length

Max length	4
Median length	3
Mean length	3.1204112
Min length	2

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
용산구	86	12.6%
송파구	61	9.0%
영등포구	60	8.8%
관악구	44	6.5%
강동구	43	6.3%
성북구	28	4.1%
동대문구	27	4.0%
강북구	26	3.8%
강남구	25	3.7%
구로구	23	3.4%
Other values (16)	258	37.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
용산구	86	12.6%
송파구	61	9.0%
영등포구	60	8.8%
관악구	44	6.5%
강동구	43	6.3%
성북구	28	4.1%
동대문구	27	4.0%
강북구	26	3.8%
강남구	25	3.7%
구로구	23	3.4%
Other values (16)	258	37.9%

상세주소
Text

Distinct	675
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

Length

Max length	48
Median length	45
Mean length	19.511013
Min length	5

Characters and Unicode

Total characters	13287
Distinct characters	284
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	669 ?
Unique (%)	98.2%

Sample

1st row	오목로34길 5
2nd row	곰달래로1길 38
3rd row	목동서로 41
4th row	목동중앙본로 120
5th row	목동동로 152

Value	Count	Frequency (%)
서울특별시	569	20.4%
용산구	86	3.1%
영등포구	59	2.1%
송파구	58	2.1%
서울시	40	1.4%
관악구	39	1.4%
강동구	39	1.4%
1층	31	1.1%
강북구	26	0.9%
서울	26	0.9%
Other values (1070)	1814	65.1%

Most occurring characters

Value	Count	Frequency (%)
	2112	15.9%
서	709	5.3%
구	679	5.1%
울	637	4.8%
시	625	4.7%
1	574	4.3%
특	569	4.3%
별	569	4.3%
로	470	3.5%
동	423	3.2%
Other values (274)	5920	44.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	8178	61.5%
Decimal Number	2603	19.6%
Space Separator	2112	15.9%
Dash Punctuation	235	1.8%
Other Punctuation	67	0.5%
Open Punctuation	45	0.3%
Close Punctuation	45	0.3%
Uppercase Letter	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	709	8.7%
구	679	8.3%
울	637	7.8%
시	625	7.6%
특	569	7.0%
별	569	7.0%
로	470	5.7%
동	423	5.2%
길	272	3.3%
강	131	1.6%
Other values (257)	3094	37.8%

Decimal Number

Value	Count	Frequency (%)
1	574	22.1%
2	403	15.5%
3	301	11.6%
4	251	9.6%
7	213	8.2%
5	196	7.5%
8	178	6.8%
6	176	6.8%
0	161	6.2%
9	150	5.8%

Uppercase Letter

Value	Count	Frequency (%)
B	1	50.0%
A	1	50.0%

Space Separator

Value	Count	Frequency (%)
	2112	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	235	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	67	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	45	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	8178	61.5%
Common	5107	38.4%
Latin	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	709	8.7%
구	679	8.3%
울	637	7.8%
시	625	7.6%
특	569	7.0%
별	569	7.0%
로	470	5.7%
동	423	5.2%
길	272	3.3%
강	131	1.6%
Other values (257)	3094	37.8%

Common

Value	Count	Frequency (%)
	2112	41.4%
1	574	11.2%
2	403	7.9%
3	301	5.9%
4	251	4.9%
-	235	4.6%
7	213	4.2%
5	196	3.8%
8	178	3.5%
6	176	3.4%
Other values (5)	468	9.2%

Latin

Value	Count	Frequency (%)
B	1	50.0%
A	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	8178	61.5%
ASCII	5109	38.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2112	41.3%
1	574	11.2%
2	403	7.9%
3	301	5.9%
4	251	4.9%
-	235	4.6%
7	213	4.2%
5	196	3.8%
8	178	3.5%
6	176	3.4%
Other values (7)	470	9.2%

Hangul

Value	Count	Frequency (%)
서	709	8.7%
구	679	8.3%
울	637	7.8%
시	625	7.6%
특	569	7.0%
별	569	7.0%
로	470	5.7%
동	423	5.2%
길	272	3.3%
강	131	1.6%
Other values (257)	3094	37.8%

위치(위도,경도)
Text

Distinct	672
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

Length

Max length	26
Median length	22
Mean length	20.168869
Min length	17

Characters and Unicode

Total characters	13735
Distinct characters	12
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	663 ?
Unique (%)	97.4%

Sample

1st row	37.5245455,126.8558042
2nd row	37.532808,126.831487
3rd row	37.5371201,126.8816206
4th row	37.5461131,126.8717128
5th row	37.5191665,126.8705563

Value	Count	Frequency (%)
37.5501344,126.9578303	2	0.3%
37.52573,127.00118	2	0.3%
37.6273059,127.0161918	2	0.3%
37.52724,126.99976	2	0.3%
37.661274,127.060225	2	0.3%
37.47575,127.14062	2	0.3%
37.4897303,126.8864836	2	0.3%
37.60221,126.92982	2	0.3%
37.5551333,126.9123789	2	0.3%
37.6049207,127.0505921	1	0.1%
Other values (662)	662	97.2%

Most occurring characters

Value	Count	Frequency (%)
7	1746	12.7%
1	1499	10.9%
3	1416	10.3%
2	1383	10.1%
.	1362	9.9%
5	1134	8.3%
6	1085	7.9%
9	910	6.6%
0	863	6.3%
4	856	6.2%
Other values (2)	1481	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11692	85.1%
Other Punctuation	2043	14.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	1746	14.9%
1	1499	12.8%
3	1416	12.1%
2	1383	11.8%
5	1134	9.7%
6	1085	9.3%
9	910	7.8%
0	863	7.4%
4	856	7.3%
8	800	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	1362	66.7%
,	681	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	13735	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	1746	12.7%
1	1499	10.9%
3	1416	10.3%
2	1383	10.1%
.	1362	9.9%
5	1134	8.3%
6	1085	7.9%
9	910	6.6%
0	863	6.3%
4	856	6.2%
Other values (2)	1481	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	1746	12.7%
1	1499	10.9%
3	1416	10.3%
2	1383	10.1%
.	1362	9.9%
5	1134	8.3%
6	1085	7.9%
9	910	6.6%
0	863	6.3%
4	856	6.2%
Other values (2)	1481	10.8%

위도
Real number (ℝ)

HIGH CORRELATION

Distinct	670
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.542437

Minimum	37.438739
Maximum	37.736041
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	37.438739
5-th percentile	37.475121
Q1	37.50402
median	37.5342
Q3	37.573908
95-th percentile	37.637891
Maximum	37.736041
Range	0.2973024
Interquartile range (IQR)	0.0698883

Descriptive statistics

Standard deviation	0.049653613
Coefficient of variation (CV)	0.0013225996
Kurtosis	-0.0013080624
Mean	37.542437
Median Absolute Deviation (MAD)	0.03322
Skewness	0.62978019
Sum	25566.4
Variance	0.0024654813
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.60221	2	0.3%
37.4897303	2	0.3%
37.52608	2	0.3%
37.5551333	2	0.3%
37.52573	2	0.3%
37.6273059	2	0.3%
37.52724	2	0.3%
37.661274	2	0.3%
37.5342	2	0.3%
37.5501344	2	0.3%
Other values (660)	661	97.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.4387389	1	0.1%
37.44056	1	0.1%
37.4492976	1	0.1%
37.4495487	1	0.1%
37.4507147	1	0.1%
37.4535239	1	0.1%
37.4589501	1	0.1%
37.461481	1	0.1%
37.4622766	1	0.1%
37.46286	1	0.1%

Value	Count	Frequency (%)
37.7360413	1	0.1%
37.6806744	1	0.1%
37.6786913	1	0.1%
37.6786204	1	0.1%
37.6729133	1	0.1%
37.6696484	1	0.1%
37.66931	1	0.1%
37.6681842	1	0.1%
37.664520715	1	0.1%
37.6641887	1	0.1%

경도
Real number (ℝ)

HIGH CORRELATION

Distinct	669
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126.99565

Minimum	126.52176
Maximum	127.17987
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	126.52176
5-th percentile	126.85479
Q1	126.92307
median	126.99763
Q3	127.06254
95-th percentile	127.13859
Maximum	127.17987
Range	0.6581069
Interquartile range (IQR)	0.1394698

Descriptive statistics

Standard deviation	0.087819356
Coefficient of variation (CV)	0.0006915147
Kurtosis	0.18398064
Mean	126.99565
Median Absolute Deviation (MAD)	0.06982
Skewness	-0.13449242
Sum	86484.035
Variance	0.0077122393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
126.96986	2	0.3%
127.0161918	2	0.3%
126.9123789	2	0.3%
126.8864836	2	0.3%
126.9578303	2	0.3%
126.95745	2	0.3%
127.14062	2	0.3%
127.060225	2	0.3%
126.92982	2	0.3%
126.99976	2	0.3%
Other values (659)	661	97.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.5217583	1	0.1%
126.8101479	1	0.1%
126.8169733	1	0.1%
126.8223129	1	0.1%
126.8229861	1	0.1%
126.82717	1	0.1%
126.8314627	1	0.1%
126.831487	1	0.1%
126.8331686	1	0.1%
126.8340792	1	0.1%

Value	Count	Frequency (%)
127.1798652	1	0.1%
127.1770761	1	0.1%
127.173909	1	0.1%
127.1716122	1	0.1%
127.17111	1	0.1%
127.1683007	1	0.1%
127.16435	1	0.1%
127.1633115	1	0.1%
127.1621562	1	0.1%
127.1543085	1	0.1%

웹사이트주소
Text

MISSING

Distinct	27
Distinct (%)	90.0%
Missing	651
Missing (%)	95.6%
Memory size	5.4 KiB

Length

Max length	84
Median length	53
Mean length	41.033333
Min length	1

Characters and Unicode

Total characters	1231
Distinct characters	48
Distinct categories	8 ?
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	25 ?
Unique (%)	83.3%

Sample

1st row	https://www.gangbuk.go.kr/suyu3/index.do
2nd row	https://www.dfmc.kr:8443/course/sports/fmcs/125
3rd row	https://www.gwangjin.go.kr/dong/main/main.do?dongCd=13
4th row	http://dong.jungnang.seoul.kr/dong/main.do?dong=15
5th row	http://dong.jungnang.seoul.kr/dong/main.do?dong=03

Value	Count	Frequency (%)
www.gurosisul.or.kr	5	16.7%
https://www.gangdong.go.kr/web/dongrenew/seongnae2/main	1	3.3%
https://www.gangbuk.go.kr/suyu3/index.do	1	3.3%
http://www.jlcwc.or.kr	1	3.3%
http://www.dongjak.go.kr/dong/main/main.do?dongcd=06	1	3.3%
https://share.sd.go.kr	1	3.3%
https://dong.jungnang.seoul.kr/dong/main.do?dong=07	1	3.3%
https://www.jungnang.go.kr/dong/main.do?dong=01	1	3.3%
https://www.jungnang.go.kr/dong/main.do?dong=09	1	3.3%
https://www.yongsan.go.kr/dong/main/main.do?dongcd=14	1	3.3%
Other values (16)	16	53.3%

Most occurring characters

Value	Count	Frequency (%)
.	103	8.4%
/	99	8.0%
n	97	7.9%
o	96	7.8%
g	80	6.5%
w	76	6.2%
t	58	4.7%
d	52	4.2%
r	51	4.1%
s	49	4.0%
Other values (38)	470	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	894	72.6%
Other Punctuation	243	19.7%
Decimal Number	62	5.0%
Math Symbol	16	1.3%
Uppercase Letter	10	0.8%
Space Separator	3	0.2%
Dash Punctuation	2	0.2%
Connector Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	97	10.9%
o	96	10.7%
g	80	8.9%
w	76	8.5%
t	58	6.5%
d	52	5.8%
r	51	5.7%
s	49	5.5%
a	48	5.4%
i	38	4.3%
Other values (14)	249	27.9%

Decimal Number

Value	Count	Frequency (%)
0	20	32.3%
2	10	16.1%
1	9	14.5%
3	8	12.9%
4	6	9.7%
5	4	6.5%
9	2	3.2%
7	1	1.6%
8	1	1.6%
6	1	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	103	42.4%
/	99	40.7%
:	25	10.3%
?	14	5.8%
&	2	0.8%

Uppercase Letter

Value	Count	Frequency (%)
C	5	50.0%
M	2	20.0%
B	1	10.0%
A	1	10.0%
D	1	10.0%

Math Symbol

Value	Count	Frequency (%)
=	16	100.0%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	904	73.4%
Common	327	26.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	97	10.7%
o	96	10.6%
g	80	8.8%
w	76	8.4%
t	58	6.4%
d	52	5.8%
r	51	5.6%
s	49	5.4%
a	48	5.3%
i	38	4.2%
Other values (19)	259	28.7%

Common

Value	Count	Frequency (%)
.	103	31.5%
/	99	30.3%
:	25	7.6%
0	20	6.1%
=	16	4.9%
?	14	4.3%
2	10	3.1%
1	9	2.8%
3	8	2.4%
4	6	1.8%
Other values (9)	17	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1231	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	103	8.4%
/	99	8.0%
n	97	7.9%
o	96	7.8%
g	80	6.5%
w	76	6.2%
t	58	4.7%
d	52	4.2%
r	51	4.1%
s	49	4.0%
Other values (38)	470	38.2%

평일오픈시간
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6
Distinct (%)	0.9%
Missing	36
Missing (%)	5.3%
Infinite	0
Infinite (%)	0.0%
Mean	917.66667

Minimum	600
Maximum	1030
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	600
5-th percentile	900
Q1	900
median	900
Q3	900
95-th percentile	1000
Maximum	1030
Range	430
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	42.955873
Coefficient of variation (CV)	0.046809887
Kurtosis	9.6765093
Mean	917.66667
Median Absolute Deviation (MAD)	0
Skewness	-0.19310992
Sum	591895
Variance	1845.207
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
900	504	74.0%
1000	112	16.4%
930	24	3.5%
600	2	0.3%
1030	2	0.3%
715	1	0.1%
(Missing)	36	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
600	2	0.3%
715	1	0.1%
900	504	74.0%
930	24	3.5%
1000	112	16.4%
1030	2	0.3%

Value	Count	Frequency (%)
1030	2	0.3%
1000	112	16.4%
930	24	3.5%
900	504	74.0%
715	1	0.1%
600	2	0.3%

평일클로즈시간
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	9
Distinct (%)	1.4%
Missing	36
Missing (%)	5.3%
Infinite	0
Infinite (%)	0.0%
Mean	1814.7752

Minimum	1000
Maximum	2200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	1000
5-th percentile	1800
Q1	1800
median	1800
Q3	1800
95-th percentile	1900
Maximum	2200
Range	1200
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	76.044409
Coefficient of variation (CV)	0.041902936
Kurtosis	30.848578
Mean	1814.7752
Median Absolute Deviation (MAD)	0
Skewness	0.0017851467
Sum	1170530
Variance	5782.7522
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1800	564	82.8%
1900	41	6.0%
2100	21	3.1%
1700	11	1.6%
2200	3	0.4%
2000	2	0.3%
1730	1	0.1%
1300	1	0.1%
1000	1	0.1%
(Missing)	36	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	0.1%
1300	1	0.1%
1700	11	1.6%
1730	1	0.1%
1800	564	82.8%
1900	41	6.0%
2000	2	0.3%
2100	21	3.1%
2200	3	0.4%

Value	Count	Frequency (%)
2200	3	0.4%
2100	21	3.1%
2000	2	0.3%
1900	41	6.0%
1800	564	82.8%
1730	1	0.1%
1700	11	1.6%
1300	1	0.1%
1000	1	0.1%

토요일오픈시간
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

<NA>	669
900	6
1000	3
600	1
1030	1

Length

Max length	4
Median length	4
Mean length	3.9882526
Min length	3

Unique

Unique	3 ?
Unique (%)	0.4%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	669	98.2%
900	6	0.9%
1000	3	0.4%
600	1	0.1%
1030	1	0.1%
715	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	669	98.2%
900	6	0.9%
1000	3	0.4%
600	1	0.1%
1030	1	0.1%
715	1	0.1%

토요일클로즈시간
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	6
Distinct (%)	50.0%
Missing	669
Missing (%)	98.2%
Infinite	0
Infinite (%)	0.0%
Mean	1716.6667

Minimum	1000
Maximum	2200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	1000
5-th percentile	1110
Q1	1725
median	1800
Q3	1800
95-th percentile	2145
Maximum	2200
Range	1200
Interquartile range (IQR)	75

Descriptive statistics

Standard deviation	337.99767
Coefficient of variation (CV)	0.19689185
Kurtosis	0.96226104
Mean	1716.6667
Median Absolute Deviation (MAD)	0
Skewness	-0.96872578
Sum	20600
Variance	114242.42
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1800	7	1.0%
2200	1	0.1%
2100	1	0.1%
1000	1	0.1%
1500	1	0.1%
1200	1	0.1%
(Missing)	669	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1000	1	0.1%
1200	1	0.1%
1500	1	0.1%
1800	7	1.0%
2100	1	0.1%
2200	1	0.1%

Value	Count	Frequency (%)
2200	1	0.1%
2100	1	0.1%
1800	7	1.0%
1500	1	0.1%
1200	1	0.1%
1000	1	0.1%

일요일오픈시간
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

<NA>	677
900	2
1300	1
715	1

Length

Max length	4
Median length	4
Mean length	3.9955947
Min length	3

Unique

Unique	2 ?
Unique (%)	0.3%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	677	99.4%
900	2	0.3%
1300	1	0.1%
715	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	677	99.4%
900	2	0.3%
1300	1	0.1%
715	1	0.1%

일요일클로즈시간
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

<NA>	677
1800	3
1000	1

Length

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

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	677	99.4%
1800	3	0.4%
1000	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	677	99.4%
1800	3	0.4%
1000	1	0.1%

공휴일오픈시간
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	681
Missing (%)	100.0%
Memory size	6.1 KiB

공휴일클로즈시간
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	681
Missing (%)	100.0%
Memory size	6.1 KiB

생성일시
Date

Distinct	416
Distinct (%)	61.1%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

Minimum	2018-01-22 11:50:00
Maximum	2024-05-03 09:50:54

Histogram

Histogram with fixed size bins (bins=50)

Heatmap
Table

	구분자(PK)	서울시 구 구분 코드	서울시 구 구분	위도	경도	웹사이트주소	평일오픈시간	평일클로즈시간	토요일오픈시간	토요일클로즈시간	일요일오픈시간	일요일클로즈시간
구분자(PK)	1.000	0.499	0.760	0.369	0.328	1.000	0.136	0.000	0.000	0.405	0.000	0.000
서울시 구 구분 코드	0.499	1.000	1.000	0.806	0.699	1.000	0.533	0.376	0.000	0.526	1.000	1.000
서울시 구 구분	0.760	1.000	1.000	0.917	0.919	1.000	0.818	0.675	0.000	0.820	1.000	1.000
위도	0.369	0.806	0.917	1.000	0.709	0.946	0.292	0.282	0.000	0.000	1.000	1.000
경도	0.328	0.699	0.919	0.709	1.000	0.905	0.442	0.334	0.522	0.603	0.827	1.000
웹사이트주소	1.000	1.000	1.000	0.946	0.905	1.000	1.000	1.000	1.000	1.000	NaN	NaN
평일오픈시간	0.136	0.533	0.818	0.292	0.442	1.000	1.000	0.928	0.692	0.000	1.000	1.000
평일클로즈시간	0.000	0.376	0.675	0.282	0.334	1.000	0.928	1.000	0.108	0.877	0.000	NaN
토요일오픈시간	0.000	0.000	0.000	0.000	0.522	1.000	0.692	0.108	1.000	0.000	1.000	1.000
토요일클로즈시간	0.405	0.526	0.820	0.000	0.603	1.000	0.000	0.877	0.000	1.000	0.000	NaN
일요일오픈시간	0.000	1.000	1.000	1.000	0.827	NaN	1.000	0.000	1.000	0.000	1.000	1.000
일요일클로즈시간	0.000	1.000	1.000	1.000	1.000	NaN	1.000	NaN	1.000	NaN	1.000	1.000

Heatmap
Table

	일요일클로즈시간	일요일오픈시간	서울시 구 구분	토요일오픈시간
일요일클로즈시간	1.000	0.707	0.707	0.707
일요일오픈시간	0.707	1.000	1.000	1.000
서울시 구 구분	0.707	1.000	1.000	0.000
토요일오픈시간	0.707	1.000	0.000	1.000

Heatmap
Table

	구분자(PK)	서울시 구 구분 코드	위도	경도	평일오픈시간	평일클로즈시간	토요일클로즈시간	서울시 구 구분	토요일오픈시간	일요일오픈시간	일요일클로즈시간
구분자(PK)	1.000	0.342	0.121	-0.082	0.080	-0.010	0.226	0.481	0.000	0.000	0.000
서울시 구 구분 코드	0.342	1.000	0.133	-0.187	0.310	0.071	0.634	0.988	0.000	1.000	0.707
위도	0.121	0.133	1.000	0.234	-0.222	-0.125	0.250	0.646	0.000	1.000	0.707
경도	-0.082	-0.187	0.234	1.000	-0.214	-0.255	-0.405	0.700	0.279	0.000	0.707
평일오픈시간	0.080	0.310	-0.222	-0.214	1.000	0.462	0.204	0.506	0.573	1.000	0.707
평일클로즈시간	-0.010	0.071	-0.125	-0.255	0.462	1.000	0.691	0.338	0.380	0.000	0.707
토요일클로즈시간	0.226	0.634	0.250	-0.405	0.204	0.691	1.000	0.565	0.062	0.000	0.707
서울시 구 구분	0.481	0.988	0.646	0.700	0.506	0.338	0.565	1.000	0.000	1.000	0.707
토요일오픈시간	0.000	0.000	0.000	0.279	0.573	0.380	0.062	0.000	1.000	1.000	0.707
일요일오픈시간	0.000	1.000	1.000	0.000	1.000	0.000	0.000	1.000	1.000	1.000	0.707
일요일클로즈시간	0.000	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	0.707	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

	구분자(PK)	카테고리 타입	카테고리	명칭	서울시 구 구분 코드	서울시 구 구분	상세주소	위치(위도,경도)	위도	경도	웹사이트주소	평일오픈시간	평일클로즈시간	토요일오픈시간	토요일클로즈시간	일요일오픈시간	일요일클로즈시간	공휴일오픈시간	공휴일클로즈시간	생성일시
0	13385	1	공구대여소	신정4동주민센터 공구대여소	19	양천구	오목로34길 5	37.5245455,126.8558042	37.524546	126.855804	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240503095054
1	13381	1	공구대여소	신월1동주민센터 공구대여소	19	양천구	곰달래로1길 38	37.532808,126.831487	37.532808	126.831487	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240503094658
2	13380	1	공구대여소	목5동주민센터 공구대여소	19	양천구	목동서로 41	37.5371201,126.8816206	37.53712	126.881621	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240503094534
3	13379	1	공구대여소	목2동주민센터 공구대여소	19	양천구	목동중앙본로 120	37.5461131,126.8717128	37.546113	126.871713	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240503094214
4	13384	1	공구대여소	신정2동주민센터 공구대여소	19	양천구	목동동로 152	37.5191665,126.8705563	37.519166	126.870556	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240501090528
5	13383	1	공구대여소	신정1동주민센터 공구대여소	19	양천구	양천구 중앙로32길 1	37.5185289,126.8542636	37.518529	126.854264	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240501090451
6	13382	1	공구대여소	신월2동주민센터 공구대여소	19	양천구	중앙로53길 47	37.5249763,126.8444512	37.524976	126.844451	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240501090420
7	13378	1	공구대여소	목1동주민센터 공구대여소	19	양천구	목동서로 192	37.5303777,126.8712323	37.530378	126.871232	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240501090203
8	149	1	공구대여소	전농제2동 공구대여소	11	동대문구	서울특별시 동대문구 사가정로 137	37.5781027,127.0600375	37.578103	127.060038	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240430165754
9	494	1	공구대여소	을지로동 공구대여소	24	중구	서울특별시 중구 을지로3가 95-7	37.5670173,126.9913248	37.567017	126.991325	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20240423144947

	구분자(PK)	카테고리 타입	카테고리	명칭	서울시 구 구분 코드	서울시 구 구분	상세주소	위치(위도,경도)	위도	경도	웹사이트주소	평일오픈시간	평일클로즈시간	토요일오픈시간	토요일클로즈시간	일요일오픈시간	일요일클로즈시간	공휴일오픈시간	공휴일클로즈시간	생성일시
671	35	1	공구대여소	둔촌2동공구도서관	2	강동구	서울시 강동구 천호대로186길 7	37.5333052,127.1397464	37.533305	127.139746	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
672	29	1	공구대여소	천호3동 공구도서관	28	서울시	서울특별시 강동구 천호동 447-17 16층 천호3동 주민센터	37.5361781,127.1332306	37.536178	127.133231	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
673	36	1	공구대여소	삼양동 공구대여소	3	강북구	서울시 강북구 삼양로 268 (미아동)	37.6273059,127.0161918	37.627306	127.016192	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
674	37	1	공구대여소	미아동 공구대여소	3	강북구	서울시 강북구 솔매로49길 14, 1층 (미아동)	37.6273059,127.0161918	37.627306	127.016192	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
675	46	1	공구대여소	수유3동 공구대여소	3	강북구	서울시 강북구 노해로 36 (수유동)	37.6446371,127.0176913	37.644637	127.017691	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
676	27	1	공구대여소	천호1동 공구도서관	2	강동구	서울시 강동구 구천면로42길 59	37.5449625,127.134603	37.544962	127.134603	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
677	38	1	공구대여소	송중동 공구대여소	3	강북구	서울시 강북구 오패산로 162 (미아동)	37.6237923,127.0224718	37.623792	127.022472	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
678	20	1	공구대여소	명일1동 공구도서관	2	강동구	서울시 강동구 양재대로138길 137	37.5493827,127.1449544	37.549383	127.144954	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
679	19	1	공구대여소	상일동 공구도서관	2	강동구	서울시 강동구 고덕로80길 111	37.5515699,127.1633115	37.55157	127.163312	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20180122115000
680	256	1	공구대여소	집수리지원센터 공구대여소(건축과)	17	성북구	서울특별시 성북구 보문로 168	37.58946,127.01685	37.58946	127.01685	<NA>	900	1800	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	2018-01-24 02:50:00

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Open Punctuation

Close Punctuation

Space Separator

Dash Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Other Punctuation

Open Punctuation

Close 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

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Uppercase Letter

Math Symbol

Space Separator

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block