gimi9 Pandas Profiling

Dataset statistics

Number of variables	14
Number of observations	183
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	20.9 KiB
Average record size in memory	116.7 B

Variable types

Text	5
Numeric	5
Categorical	4

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMPUBLICINFO005FREE

Alerts

`동/읍/면/리사무소` is highly overall correlated with `P02000` and 2 other fields	High correlation
`P02000` is highly overall correlated with `행정기관` and 2 other fields	High correlation
`행정기관` is highly overall correlated with `P02000` and 2 other fields	High correlation
`P02003` is highly overall correlated with `P02000` and 2 other fields	High correlation
`313742` is highly overall correlated with `557432` and 2 other fields	High correlation
`557432` is highly overall correlated with `313742` and 2 other fields	High correlation
`1130510100008130003` is highly overall correlated with `313742` and 2 other fields	High correlation
`1130510100108130003000001` is highly overall correlated with `313742` and 2 other fields	High correlation
`P0202904` has unique values	Unique
`삼각산동주민센터` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:13:52.931647
Analysis finished	2023-12-10 06:14:07.983666
Duration	15.05 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

P0202904
Text

UNIQUE

Distinct	183
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

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

Characters and Unicode

Total characters	1464
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	183 ?
Unique (%)	100.0%

Sample

1st row	P0109522
2nd row	P0110016
3rd row	P0110641
4th row	P0202988
5th row	P0106984

Value	Count	Frequency (%)
p0109522	1	0.5%
p0203313	1	0.5%
p0109509	1	0.5%
p0202615	1	0.5%
p0110965	1	0.5%
p0112706	1	0.5%
p0106981	1	0.5%
p0106104	1	0.5%
p0110967	1	0.5%
p0109524	1	0.5%
Other values (173)	173	94.5%

Most occurring characters

Value	Count	Frequency (%)
0	414	28.3%
1	249	17.0%
P	183	12.5%
2	157	10.7%
9	117	8.0%
6	81	5.5%
8	59	4.0%
3	57	3.9%
7	55	3.8%
5	54	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1281	87.5%
Uppercase Letter	183	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	414	32.3%
1	249	19.4%
2	157	12.3%
9	117	9.1%
6	81	6.3%
8	59	4.6%
3	57	4.4%
7	55	4.3%
5	54	4.2%
4	38	3.0%

Uppercase Letter

Value	Count	Frequency (%)
P	183	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1281	87.5%
Latin	183	12.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	414	32.3%
1	249	19.4%
2	157	12.3%
9	117	9.1%
6	81	6.3%
8	59	4.6%
3	57	4.4%
7	55	4.3%
5	54	4.2%
4	38	3.0%

Latin

Value	Count	Frequency (%)
P	183	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1464	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	414	28.3%
1	249	17.0%
P	183	12.5%
2	157	10.7%
9	117	8.0%
6	81	5.5%
8	59	4.0%
3	57	3.9%
7	55	3.8%
5	54	3.7%

삼각산동주민센터
Text

UNIQUE

Distinct	183
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	13
Median length	11
Mean length	7.8032787
Min length	4

Characters and Unicode

Total characters	1428
Distinct characters	117
Distinct categories	3 ?
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	183 ?
Unique (%)	100.0%

Sample

1st row	서울도곡한신우편취급국
2nd row	서울번3동우체국
3rd row	서울공항동우체국
4th row	인수동주민센터
5th row	강서소방서

Value	Count	Frequency (%)
서울도곡한신우편취급국	1	0.5%
화곡4동주민센터	1	0.5%
서울역삼성보우편취급국	1	0.5%
대치1동주민센터	1	0.5%
번3파출소	1	0.5%
화곡지구대	1	0.5%
강남소방서	1	0.5%
강남세무서	1	0.5%
삼양파출소	1	0.5%
서울대치4동우편취급국	1	0.5%
Other values (173)	173	94.5%

Most occurring characters

Value	Count	Frequency (%)
동	93	6.5%
서	91	6.4%
우	70	4.9%
터	69	4.8%
센	69	4.8%
울	66	4.6%
국	64	4.5%
주	55	3.9%
민	53	3.7%
1	50	3.5%
Other values (107)	748	52.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1320	92.4%
Decimal Number	105	7.4%
Uppercase Letter	3	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	93	7.0%
서	91	6.9%
우	70	5.3%
터	69	5.2%
센	69	5.2%
울	66	5.0%
국	64	4.8%
주	55	4.2%
민	53	4.0%
급	34	2.6%
Other values (96)	656	49.7%

Decimal Number

Value	Count	Frequency (%)
1	50	47.6%
2	20	19.0%
9	14	13.3%
3	13	12.4%
4	5	4.8%
5	1	1.0%
6	1	1.0%
8	1	1.0%

Uppercase Letter

Value	Count	Frequency (%)
D	1	33.3%
I	1	33.3%
A	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1320	92.4%
Common	105	7.4%
Latin	3	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	93	7.0%
서	91	6.9%
우	70	5.3%
터	69	5.2%
센	69	5.2%
울	66	5.0%
국	64	4.8%
주	55	4.2%
민	53	4.0%
급	34	2.6%
Other values (96)	656	49.7%

Common

Value	Count	Frequency (%)
1	50	47.6%
2	20	19.0%
9	14	13.3%
3	13	12.4%
4	5	4.8%
5	1	1.0%
6	1	1.0%
8	1	1.0%

Latin

Value	Count	Frequency (%)
D	1	33.3%
I	1	33.3%
A	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1320	92.4%
ASCII	108	7.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	93	7.0%
서	91	6.9%
우	70	5.3%
터	69	5.2%
센	69	5.2%
울	66	5.0%
국	64	4.8%
주	55	4.2%
민	53	4.0%
급	34	2.6%
Other values (96)	656	49.7%

ASCII

Value	Count	Frequency (%)
1	50	46.3%
2	20	18.5%
9	14	13.0%
3	13	12.0%
4	5	4.6%
5	1	0.9%
6	1	0.9%
D	1	0.9%
I	1	0.9%
8	1	0.9%

서울특별시 강북구 삼양로19길 34
Text

Distinct	177
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	24
Median length	22
Mean length	18.076503
Min length	1

Characters and Unicode

Total characters	3308
Distinct characters	104
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	172 ?
Unique (%)	94.0%

Sample

1st row	서울특별시 강남구 논현로38길 38-4
2nd row	서울특별시 강북구 한천로105길 27
3rd row	서울특별시 강서구 공항대로 41
4th row	서울특별시 강북구 인수봉로 255
5th row	서울특별시 강서구 양천로 550

Value	Count	Frequency (%)
서울특별시	182	25.0%
강남구	87	11.9%
강서구	56	7.7%
강북구	39	5.3%
삼양로	7	1.0%
테헤란로	6	0.8%
개포로	6	0.8%
학동로	5	0.7%
선릉로	5	0.7%
한천로	5	0.7%
Other values (237)	331	45.4%

Most occurring characters

Value	Count	Frequency (%)
	546	16.5%
서	248	7.5%
강	193	5.8%
구	189	5.7%
특	182	5.5%
별	182	5.5%
시	182	5.5%
울	182	5.5%
로	180	5.4%
1	108	3.3%
Other values (94)	1116	33.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2153	65.1%
Decimal Number	603	18.2%
Space Separator	546	16.5%
Dash Punctuation	5	0.2%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	248	11.5%
강	193	9.0%
구	189	8.8%
특	182	8.5%
별	182	8.5%
시	182	8.5%
울	182	8.5%
로	180	8.4%
남	93	4.3%
길	76	3.5%
Other values (81)	446	20.7%

Decimal Number

Value	Count	Frequency (%)
1	108	17.9%
2	88	14.6%
3	67	11.1%
5	61	10.1%
6	61	10.1%
4	52	8.6%
9	47	7.8%
0	43	7.1%
7	43	7.1%
8	33	5.5%

Space Separator

Value	Count	Frequency (%)
	546	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	2153	65.1%
Common	1154	34.9%
Latin	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	248	11.5%
강	193	9.0%
구	189	8.8%
특	182	8.5%
별	182	8.5%
시	182	8.5%
울	182	8.5%
로	180	8.4%
남	93	4.3%
길	76	3.5%
Other values (81)	446	20.7%

Common

Value	Count	Frequency (%)
	546	47.3%
1	108	9.4%
2	88	7.6%
3	67	5.8%
5	61	5.3%
6	61	5.3%
4	52	4.5%
9	47	4.1%
0	43	3.7%
7	43	3.7%
Other values (2)	38	3.3%

Latin

Value	Count	Frequency (%)
X	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2153	65.1%
ASCII	1155	34.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	546	47.3%
1	108	9.4%
2	88	7.6%
3	67	5.8%
5	61	5.3%
6	61	5.3%
4	52	4.5%
9	47	4.1%
0	43	3.7%
7	43	3.7%
Other values (3)	39	3.4%

Hangul

Value	Count	Frequency (%)
서	248	11.5%
강	193	9.0%
구	189	8.8%
특	182	8.5%
별	182	8.5%
시	182	8.5%
울	182	8.5%
로	180	8.4%
남	93	4.3%
길	76	3.5%
Other values (81)	446	20.7%

313742
Real number (ℝ)

HIGH CORRELATION

Distinct	177
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	310180.2

Minimum	294475
Maximum	321232
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	294475
5-th percentile	295468.6
Q1	299427
median	314429
Q3	315981
95-th percentile	319377.5
Maximum	321232
Range	26757
Interquartile range (IQR)	16554

Descriptive statistics

Standard deviation	8546.678
Coefficient of variation (CV)	0.027553913
Kurtosis	-1.1753482
Mean	310180.2
Median Absolute Deviation (MAD)	2013
Skewness	-0.76390585
Sum	56762976
Variance	73045705
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
314435	3	1.6%
299479	2	1.1%
315302	2	1.1%
317696	2	1.1%
314783	2	1.1%
315721	1	0.5%
297098	1	0.5%
316788	1	0.5%
316170	1	0.5%
298163	1	0.5%
Other values (167)	167	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
294475	1	0.5%
294781	1	0.5%
294911	1	0.5%
294920	1	0.5%
294990	1	0.5%
295072	1	0.5%
295221	1	0.5%
295399	1	0.5%
295406	1	0.5%
295465	1	0.5%

Value	Count	Frequency (%)
321232	1	0.5%
321192	1	0.5%
321051	1	0.5%
321047	1	0.5%
321031	1	0.5%
319968	1	0.5%
319550	1	0.5%
319530	1	0.5%
319407	1	0.5%
319404	1	0.5%

557432
Real number (ℝ)

HIGH CORRELATION

Distinct	175
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	549807.33

Minimum	540712
Maximum	562599
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	540712
5-th percentile	542772.6
Q1	545133
median	548410
Q3	552626
95-th percentile	560132
Maximum	562599
Range	21887
Interquartile range (IQR)	7493

Descriptive statistics

Standard deviation	5748.9971
Coefficient of variation (CV)	0.010456385
Kurtosis	-0.8355743
Mean	549807.33
Median Absolute Deviation (MAD)	3759
Skewness	0.61700073
Sum	1.0061474 × 10⁸
Variance	33050968
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
544454	3	1.6%
546672	2	1.1%
545752	2	1.1%
551277	2	1.1%
559403	2	1.1%
553718	2	1.1%
551399	2	1.1%
547896	1	0.5%
549688	1	0.5%
546706	1	0.5%
Other values (165)	165	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
540712	1	0.5%
541144	1	0.5%
541819	1	0.5%
542274	1	0.5%
542295	1	0.5%
542381	1	0.5%
542718	1	0.5%
542730	1	0.5%
542750	1	0.5%
542767	1	0.5%

Value	Count	Frequency (%)
562599	1	0.5%
561079	1	0.5%
560743	1	0.5%
560707	1	0.5%
560666	1	0.5%
560365	1	0.5%
560320	1	0.5%
560300	1	0.5%
560296	1	0.5%
560136	1	0.5%

220765
Real number (ℝ)

Distinct	161
Distinct (%)	88.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	197403.65

Minimum	9735
Maximum	518897
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	9735
5-th percentile	14723.8
Q1	27922.5
median	220101
Q3	282956.5
95-th percentile	414852.9
Maximum	518897
Range	509162
Interquartile range (IQR)	255034

Descriptive statistics

Standard deviation	147946.2
Coefficient of variation (CV)	0.74946028
Kurtosis	-1.176075
Mean	197403.65
Median Absolute Deviation (MAD)	135380
Skewness	0.082259655
Sum	36124868
Variance	2.1888077 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15248	3	1.6%
15515	3	1.6%
142113	3	1.6%
355917	3	1.6%
220809	3	1.6%
323900	2	1.1%
414643	2	1.1%
13785	2	1.1%
414149	2	1.1%
278605	2	1.1%
Other values (151)	158	86.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9735	1	0.5%
10717	1	0.5%
13779	1	0.5%
13785	2	1.1%
14138	1	0.5%
14469	1	0.5%
14537	1	0.5%
14632	1	0.5%
14711	1	0.5%
14839	1	0.5%

Value	Count	Frequency (%)
518897	1	0.5%
518516	1	0.5%
508825	2	1.1%
502544	1	0.5%
418721	1	0.5%
417617	1	0.5%
417062	1	0.5%
415152	1	0.5%
414862	1	0.5%
414771	1	0.5%

P02000
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

P01000	127
P02000	56

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	P01000
2nd row	P01000
3rd row	P01000
4th row	P02000
5th row	P01000

Common Values

Value	Count	Frequency (%)
P01000	127	69.4%
P02000	56	30.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
p01000	127	69.4%
p02000	56	30.6%

행정기관
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

공공기관	127
행정기관	56

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
공공기관	127	69.4%
행정기관	56	30.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공공기관	127	69.4%
행정기관	56	30.6%

P02003
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

P01010	64
P02003	53
P01012	19
P01009	17
P01014	14
Other values (4)	16

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	P01010
2nd row	P01010
3rd row	P01010
4th row	P02003
5th row	P01009

Common Values

Value	Count	Frequency (%)
P01010	64	35.0%
P02003	53	29.0%
P01012	19	10.4%
P01009	17	9.3%
P01014	14	7.7%
P01008	6	3.3%
P01003	4	2.2%
P01007	3	1.6%
P02002	3	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
p01010	64	35.0%
p02003	53	29.0%
p01012	19	10.4%
p01009	17	9.3%
p01014	14	7.7%
p01008	6	3.3%
p01003	4	2.2%
p01007	3	1.6%
p02002	3	1.6%

동/읍/면/리사무소
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

우체국	64
동/읍/면/리사무소	53
파출소	19
소방서	17
지구대	14
Other values (4)	16

Length

Max length	10
Median length	3
Mean length	5.0928962
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	우체국
2nd row	우체국
3rd row	우체국
4th row	동/읍/면/리사무소
5th row	소방서

Common Values

Value	Count	Frequency (%)
우체국	64	35.0%
동/읍/면/리사무소	53	29.0%
파출소	19	10.4%
소방서	17	9.3%
지구대	14	7.7%
세무서	6	3.3%
경찰서	4	2.2%
세관	3	1.6%
도/시/구/군청	3	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
우체국	64	35.0%
동/읍/면/리사무소	53	29.0%
파출소	19	10.4%
소방서	17	9.3%
지구대	14	7.7%
세무서	6	3.3%
경찰서	4	2.2%
세관	3	1.6%
도/시/구/군청	3	1.6%

서울특별시 강북구 삼양로19길 34(미아동)
Text

Distinct	177
Distinct (%)	96.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	31
Median length	28
Mean length	22.234973
Min length	13

Characters and Unicode

Total characters	4069
Distinct characters	132
Distinct categories	6 ?
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	172 ?
Unique (%)	94.0%

Sample

1st row	서울특별시 강남구 논현로38길 38-4
2nd row	서울특별시 강북구 한천로 105길 27
3rd row	서울특별시 강서구 공항대로 41 서울공항동우체국
4th row	서울특별시 강북구 인수봉로 255(수유동)
5th row	서울특별시 강서구 양천로 550 (등촌동)

Value	Count	Frequency (%)
서울특별시	179	20.9%
강남구	88	10.3%
강서구	56	6.5%
강북구	39	4.6%
화곡동	15	1.8%
삼양로	9	1.1%
개포로	6	0.7%
한천로	6	0.7%
미아동	6	0.7%
등촌동	6	0.7%
Other values (300)	447	52.2%

Most occurring characters

Value	Count	Frequency (%)
	678	16.7%
서	260	6.4%
강	195	4.8%
구	191	4.7%
울	191	4.7%
로	181	4.4%
특	179	4.4%
별	179	4.4%
시	179	4.4%
동	121	3.0%
Other values (122)	1715	42.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2561	62.9%
Space Separator	678	16.7%
Decimal Number	633	15.6%
Open Punctuation	96	2.4%
Close Punctuation	96	2.4%
Dash Punctuation	5	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	260	10.2%
강	195	7.6%
구	191	7.5%
울	191	7.5%
로	181	7.1%
특	179	7.0%
별	179	7.0%
시	179	7.0%
동	121	4.7%
남	95	3.7%
Other values (108)	790	30.8%

Decimal Number

Value	Count	Frequency (%)
1	114	18.0%
2	95	15.0%
3	71	11.2%
6	64	10.1%
5	62	9.8%
4	54	8.5%
0	50	7.9%
9	47	7.4%
7	44	7.0%
8	32	5.1%

Space Separator

Value	Count	Frequency (%)
	678	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	96	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	96	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2561	62.9%
Common	1508	37.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	260	10.2%
강	195	7.6%
구	191	7.5%
울	191	7.5%
로	181	7.1%
특	179	7.0%
별	179	7.0%
시	179	7.0%
동	121	4.7%
남	95	3.7%
Other values (108)	790	30.8%

Common

Value	Count	Frequency (%)
	678	45.0%
1	114	7.6%
(	96	6.4%
)	96	6.4%
2	95	6.3%
3	71	4.7%
6	64	4.2%
5	62	4.1%
4	54	3.6%
0	50	3.3%
Other values (4)	128	8.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2561	62.9%
ASCII	1508	37.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	678	45.0%
1	114	7.6%
(	96	6.4%
)	96	6.4%
2	95	6.3%
3	71	4.7%
6	64	4.2%
5	62	4.1%
4	54	3.6%
0	50	3.3%
Other values (4)	128	8.5%

Hangul

Value	Count	Frequency (%)
서	260	10.2%
강	195	7.6%
구	191	7.5%
울	191	7.5%
로	181	7.1%
특	179	7.0%
별	179	7.0%
시	179	7.0%
동	121	4.7%
남	95	3.7%
Other values (108)	790	30.8%

1130510100008130003
Real number (ℝ)

HIGH CORRELATION

Distinct	176
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1545105 × 10¹⁸

Minimum	1.1305101 × 10¹⁸
Maximum	1.1680118 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1.1305101 × 10¹⁸
5-th percentile	1.1305101 × 10¹⁸
Q1	1.1500102 × 10¹⁸
median	1.1500109 × 10¹⁸
Q3	1.1680105 × 10¹⁸
95-th percentile	1.1680114 × 10¹⁸
Maximum	1.1680118 × 10¹⁸
Range	3.75017 × 10¹⁶
Interquartile range (IQR)	1.80003 × 10¹⁶

Descriptive statistics

Standard deviation	1.4757562 × 10¹⁶
Coefficient of variation (CV)	0.012782527
Kurtosis	-1.1481347
Mean	1.1545105 × 10¹⁸
Median Absolute Deviation (MAD)	1.79996 × 10¹⁶
Skewness	-0.56647912
Sum	8.3612366 × 10¹⁸
Variance	2.1778564 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1168010100008240000	3	1.6%
1150010800013730005	2	1.1%
1150010200006300002	2	1.1%
1168010500001710003	2	1.1%
1130510200003650001	2	1.1%
1168010800000710000	2	1.1%
1168011800004170001	1	0.5%
1150010600006810005	1	0.5%
1168010600006460002	1	0.5%
1130510200002420006	1	0.5%
Other values (166)	166	90.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1130510100000620006	1	0.5%
1130510100000870141	1	0.5%
1130510100001270009	1	0.5%
1130510100001970001	1	0.5%
1130510100003270001	1	0.5%
1130510100003270002	1	0.5%
1130510100003270005	1	0.5%
1130510100007760005	1	0.5%
1130510100007910350	1	0.5%
1130510100008600056	1	0.5%

Value	Count	Frequency (%)
1168011800008920006	1	0.5%
1168011800005430007	1	0.5%
1168011800004670012	1	0.5%
1168011800004590000	1	0.5%
1168011800004170001	1	0.5%
1168011500007410001	1	0.5%
1168011500007180003	1	0.5%
1168011500007180002	1	0.5%
1168011500007180001	1	0.5%
1168011400007350004	1	0.5%

1130510100108130003000001
Real number (ℝ)

HIGH CORRELATION

Distinct	159
Distinct (%)	86.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1545105 × 10²⁴

Minimum	1.1305101 × 10²⁴
Maximum	1.1680118 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1.1305101 × 10²⁴
5-th percentile	1.1305101 × 10²⁴
Q1	1.1500102 × 10²⁴
median	1.1500109 × 10²⁴
Q3	1.1680105 × 10²⁴
95-th percentile	1.1680114 × 10²⁴
Maximum	1.1680118 × 10²⁴
Range	3.75017 × 10²²
Interquartile range (IQR)	1.80003 × 10²²

Descriptive statistics

Standard deviation	1.4757562 × 10²²
Coefficient of variation (CV)	0.012782527
Kurtosis	-1.1481347
Mean	1.1545105 × 10²⁴
Median Absolute Deviation (MAD)	1.79996 × 10²²
Skewness	-0.56647912
Sum	2.1127542 × 10²⁶
Variance	2.1778564 × 10⁴⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.16801010010824e+24	3	1.6%
1.1500103001098e+24	3	1.6%
1.1305103001060504e+24	3	1.6%
1.16801150010718e+24	3	1.6%
1.13051020010242e+24	3	1.6%
1.13051010010327e+24	3	1.6%
1.1500103001002402e+24	2	1.1%
1.1500108001015e+24	2	1.1%
1.16801030010014e+24	2	1.1%
1.16801140010712e+24	2	1.1%
Other values (149)	157	85.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.13051010010062e+24	1	0.5%
1.13051010010087e+24	1	0.5%
1.13051010010127e+24	1	0.5%
1.13051010010197e+24	1	0.5%
1.13051010010327e+24	3	1.6%
1.13051010010776e+24	1	0.5%
1.1305101001079104e+24	1	0.5%
1.1305101001086e+24	2	1.1%
1.13051010010867e+24	1	0.5%
1.13051010011267e+24	1	0.5%

Value	Count	Frequency (%)
1.16801180010892e+24	1	0.5%
1.16801180010869e+24	1	0.5%
1.16801180010467e+24	1	0.5%
1.16801180010459e+24	1	0.5%
1.16801180010417e+24	1	0.5%
1.16801150010741e+24	1	0.5%
1.16801150010718e+24	3	1.6%
1.16801140010735e+24	2	1.1%
1.16801140010712e+24	2	1.1%
1.16801140010621e+24	1	0.5%

서울특별시 강북구 미아동 813-3번지
Text

Distinct	176
Distinct (%)	96.2%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

Length

Max length	23
Median length	22
Mean length	20.972678
Min length	17

Characters and Unicode

Total characters	3838
Distinct characters	65
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	170 ?
Unique (%)	92.9%

Sample

1st row	서울특별시 강남구 도곡동 417-1번지
2nd row	서울특별시 강북구 번동 242-2번지
3rd row	서울특별시 강서구 공항동 28-1번지
4th row	서울특별시 강북구 수유동 527-19번지
5th row	서울특별시 강서구 등촌동 630-2번지

Value	Count	Frequency (%)
서울특별시	183	25.0%
강남구	88	12.0%
강서구	56	7.7%
강북구	39	5.3%
화곡동	21	2.9%
역삼동	15	2.0%
미아동	14	1.9%
수유동	14	1.9%
삼성동	13	1.8%
논현동	12	1.6%
Other values (196)	277	37.8%

Most occurring characters

Value	Count	Frequency (%)
	549	14.3%
서	243	6.3%
번	193	5.0%
구	186	4.8%
시	183	4.8%
별	183	4.8%
강	183	4.8%
울	183	4.8%
동	183	4.8%
특	183	4.8%
Other values (55)	1569	40.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2376	61.9%
Decimal Number	761	19.8%
Space Separator	549	14.3%
Dash Punctuation	152	4.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	243	10.2%
번	193	8.1%
구	186	7.8%
시	183	7.7%
별	183	7.7%
강	183	7.7%
울	183	7.7%
동	183	7.7%
특	183	7.7%
지	183	7.7%
Other values (43)	473	19.9%

Decimal Number

Value	Count	Frequency (%)
1	157	20.6%
2	103	13.5%
6	75	9.9%
4	74	9.7%
3	69	9.1%
7	68	8.9%
5	64	8.4%
8	57	7.5%
0	49	6.4%
9	45	5.9%

Space Separator

Value	Count	Frequency (%)
	549	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	152	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2376	61.9%
Common	1462	38.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	243	10.2%
번	193	8.1%
구	186	7.8%
시	183	7.7%
별	183	7.7%
강	183	7.7%
울	183	7.7%
동	183	7.7%
특	183	7.7%
지	183	7.7%
Other values (43)	473	19.9%

Common

Value	Count	Frequency (%)
	549	37.6%
1	157	10.7%
-	152	10.4%
2	103	7.0%
6	75	5.1%
4	74	5.1%
3	69	4.7%
7	68	4.7%
5	64	4.4%
8	57	3.9%
Other values (2)	94	6.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2376	61.9%
ASCII	1462	38.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	549	37.6%
1	157	10.7%
-	152	10.4%
2	103	7.0%
6	75	5.1%
4	74	5.1%
3	69	4.7%
7	68	4.7%
5	64	4.4%
8	57	3.9%
Other values (2)	94	6.4%

Hangul

Value	Count	Frequency (%)
서	243	10.2%
번	193	8.1%
구	186	7.8%
시	183	7.7%
별	183	7.7%
강	183	7.7%
울	183	7.7%
동	183	7.7%
특	183	7.7%
지	183	7.7%
Other values (43)	473	19.9%

Heatmap
Table

	313742	557432	220765	P02000	행정기관	P02003	동/읍/면/리사무소	1130510100008130003	1130510100108130003000001
313742	1.000	0.723	0.596	0.000	0.000	0.000	0.000	0.815	0.815
557432	0.723	1.000	0.685	0.000	0.000	0.000	0.000	0.999	0.999
220765	0.596	0.685	1.000	0.000	0.000	0.000	0.000	0.856	0.856
P02000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000
행정기관	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000
P02003	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000
동/읍/면/리사무소	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000
1130510100008130003	0.815	0.999	0.856	0.000	0.000	0.000	0.000	1.000	1.000
1130510100108130003000001	0.815	0.999	0.856	0.000	0.000	0.000	0.000	1.000	1.000

Heatmap
Table

	동/읍/면/리사무소	P02000	행정기관	P02003
동/읍/면/리사무소	1.000	0.980	0.980	1.000
P02000	0.980	1.000	0.987	0.980
행정기관	0.980	0.987	1.000	0.980
P02003	1.000	0.980	0.980	1.000

Heatmap
Table

	313742	557432	220765	1130510100008130003	1130510100108130003000001	P02000	행정기관	P02003	동/읍/면/리사무소
313742	1.000	-0.634	0.289	0.527	0.527	0.000	0.000	0.000	0.000
557432	-0.634	1.000	-0.201	-0.832	-0.832	0.000	0.000	0.000	0.000
220765	0.289	-0.201	1.000	0.072	0.073	0.000	0.000	0.000	0.000
1130510100008130003	0.527	-0.832	0.072	1.000	1.000	0.000	0.000	0.000	0.000
1130510100108130003000001	0.527	-0.832	0.073	1.000	1.000	0.182	0.182	0.213	0.213
P02000	0.000	0.000	0.000	0.000	0.182	1.000	0.987	0.980	0.980
행정기관	0.000	0.000	0.000	0.000	0.182	0.987	1.000	0.980	0.980
P02003	0.000	0.000	0.000	0.000	0.213	0.980	0.980	1.000	1.000
동/읍/면/리사무소	0.000	0.000	0.000	0.000	0.213	0.980	0.980	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

	P0202904	삼각산동주민센터	서울특별시 강북구 삼양로19길 34	313742	557432	220765	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강북구 삼양로19길 34(미아동)	1130510100008130003	1130510100108130003000001	서울특별시 강북구 미아동 813-3번지
0	P0109522	서울도곡한신우편취급국	서울특별시 강남구 논현로38길 38-4	315721	543002	19106	P01000	공공기관	P01010	우체국	서울특별시 강남구 논현로38길 38-4	1168011800004170001	1168011800104170001000973	서울특별시 강남구 도곡동 417-1번지
1	P0110016	서울번3동우체국	서울특별시 강북구 한천로105길 27	316005	558582	219195	P01000	공공기관	P01010	우체국	서울특별시 강북구 한천로 105길 27	1130510200002420002	1130510200102420002035152	서울특별시 강북구 번동 242-2번지
2	P0110641	서울공항동우체국	서울특별시 강서구 공항대로 41	295221	551697	15885	P01000	공공기관	P01010	우체국	서울특별시 강서구 공항대로 41 서울공항동우체국	1150010800000280001	1150010800100280001005979	서울특별시 강서구 공항동 28-1번지
3	P0202988	인수동주민센터	서울특별시 강북구 인수봉로 255	312877	560365	221245	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강북구 인수봉로 255(수유동)	1130510300005270019	1130510300105270019001502	서울특별시 강북구 수유동 527-19번지
4	P0106984	강서소방서	서울특별시 강서구 양천로 550	299479	551277	282922	P01000	공공기관	P01009	소방서	서울특별시 강서구 양천로 550 (등촌동)	1150010200006300002	1150010200106300002026625	서울특별시 강서구 등촌동 630-2번지
5	P0106868	수서119안전센터	서울특별시 강남구 광평로31길 6	319968	542916	264903	P01000	공공기관	P01009	소방서	서울특별시 강남구 광평로31길 6 (수서동)	1168011500007410001	1168011500107410001001709	서울특별시 강남구 수서동 741-1번지
6	P0202986	수유3동주민센터	서울특별시 강북구 노해로 36	313982	560046	220132	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강북구 노해로 36(수유동)	1130510300002230008	1130510300102230008008871	서울특별시 강북구 수유동 223-8번지
7	P0203003	화곡2동주민센터	서울특별시 강서구 곰달래로37길 13	298952	548351	15353	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강서구 곰달래로37길 13 (화곡동)	1150010300008600004	1150010300108600004023074	서울특별시 강서구 화곡동 860-4번지
8	P0109523	서울대치우성우편취급국	서울특별시 강남구 남부순환로 2917	316999	543860	269766	P01000	공공기관	P01010	우체국	서울특별시 강남구 남부순환로 2917 청실상가 2층	1168010600006260000	1168010600106260000014407	서울특별시 강남구 대치동 626번지
9	P0202621	삼성2동주민센터	서울특별시 강남구 봉은사로 419	315853	545874	24415	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강남구 봉은사로 419	1168010500000380034	1168010500100380034016359	서울특별시 강남구 삼성동 38-34번지

	P0202904	삼각산동주민센터	서울특별시 강북구 삼양로19길 34	313742	557432	220765	P02000	행정기관	P02003	동/읍/면/리사무소	서울특별시 강북구 삼양로19길 34(미아동)	1130510100008130003	1130510100108130003000001	서울특별시 강북구 미아동 813-3번지
173	P0109518	서울압구정우편취급국	서울특별시 강남구 압구정로 332	315153	547772	283723	P01000	공공기관	P01010	우체국	서울특별시 강남구 압구정로 332 동도상가 2층	1168010700006600007	1168010700106600007009696	서울특별시 강남구 신사동 660-7번지
174	P0110647	서울화곡4동우체국	서울특별시 강서구 곰달래로 265	299662	548410	355481	P01000	공공기관	P01010	우체국	서울특별시 강서구 곰달래로 265 서울화곡4동우체국	1150010300007780005	1150010300107780005019710	서울특별시 강서구 화곡동 778-5번지
175	P0100233	서울강서경찰서	서울특별시 강서구 화곡로 308	298552	550546	15515	P01000	공공기관	P01003	경찰서	서울 강서구 화곡로 308	1150010300009800027	1150010300109800027014891	서울특별시 강서구 화곡동 980-27번지
176	P0110648	김포공항우편취급국	서울특별시 강서구 하늘길 112	294920	551168	508825	P01000	공공기관	P01010	우체국	서울특별시 강서구 하늘길 112	1150010800013730005	1150010800101500000007416	서울특별시 강서구 공항동 1373-5번지
177	P0110974	화곡3파출소	서울특별시 강서구 강서로45다길 71	297262	549798	14999	P01000	공공기관	P01012	파출소	서울특별시 강서구 강서로45다길 71 (화곡동)	1150010300010190000	1150010300110190000029859	서울특별시 강서구 화곡동 1019번지
178	P0109387	서울수서동우체국	서울특별시 강남구 광평로 303	321051	543325	142113	P01000	공공기관	P01010	우체국	서울특별시 강남구 광평로 303	1168011500007180003	1168011500107180003001451	서울특별시 강남구 수서동 718-3번지
179	P0110957	삼성2파출소	서울특별시 강남구 선릉로 626	315637	546009	24411	P01000	공공기관	P01012	파출소	서울특별시 강남구 선릉로 626 (삼성동)	1168010500000350000	1168010500100350000016012	서울특별시 강남구 삼성동 35번지
180	P0112701	곰달래지구대	서울특별시 강서구 곰달래로59길 12	299718	548462	355476	P01000	공공기관	P01014	지구대	서울특별시 강서구 곰달래로59길 12 (화곡동)	1150010300007760004	1150010300107760004020809	서울특별시 강서구 화곡동 776-4번지
181	P0200197	강서구청	서울특별시 강서구 화곡로 302	298540	550480	15515	P02000	행정기관	P02002	도/시/구/군청	서울특별시 강서구 화곡로 302 (화곡동)	1150010300009800016	1150010300109800016015086	서울특별시 강서구 화곡동 980-16번지
182	P0112848	대치지구대	서울특별시 강남구 삼성로 203	317306	544046	271945	P01000	공공기관	P01014	지구대	서울특별시 강남구 삼성로 203 (대치동)	1168010600005980000	1168010600105980000000001	서울특별시 강남구 대치동 598번지

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

Uppercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

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

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 (Plot)

Common Values

Length

Common Values (Plot)

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

Decimal Number

Space Separator

Open Punctuation

Close Punctuation

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