gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	199
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	19.8 KiB
Average record size in memory	101.7 B

Variable types

Text	5
Numeric	6
Categorical	1

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMHOTEL00000008FREE

Alerts

`547293` is highly overall correlated with `1168010700005680005` and 1 other fields	High correlation
`1168010700005680005` is highly overall correlated with `547293` and 1 other fields	High correlation
`1168010700105680005010495` is highly overall correlated with `547293` and 1 other fields	High correlation
`G01204` has unique values	Unique
`에이프릴문 하우스` has unique values	Unique
`서울특별시 강남구 압구정로18길 19 4층 (신사동)` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:36:57.627729
Analysis finished	2023-12-10 06:37:20.961672
Duration	23.33 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

G01204
Text

UNIQUE

Distinct	199
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

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

Characters and Unicode

Total characters	1194
Distinct characters	13
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	199 ?
Unique (%)	100.0%

Sample

1st row	M01351
2nd row	M01356
3rd row	M00904
4th row	H00377
5th row	M01003

Value	Count	Frequency (%)
m01351	1	0.5%
g01175	1	0.5%
h00432	1	0.5%
m00936	1	0.5%
m00943	1	0.5%
g01239	1	0.5%
m00900	1	0.5%
h00382	1	0.5%
m00921	1	0.5%
m00987	1	0.5%
Other values (189)	189	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	358	30.0%
1	157	13.1%
M	122	10.2%
9	112	9.4%
2	83	7.0%
3	81	6.8%
8	61	5.1%
4	45	3.8%
H	39	3.3%
G	38	3.2%
Other values (3)	98	8.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	995	83.3%
Uppercase Letter	199	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	358	36.0%
1	157	15.8%
9	112	11.3%
2	83	8.3%
3	81	8.1%
8	61	6.1%
4	45	4.5%
6	37	3.7%
7	34	3.4%
5	27	2.7%

Uppercase Letter

Value	Count	Frequency (%)
M	122	61.3%
H	39	19.6%
G	38	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	995	83.3%
Latin	199	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	358	36.0%
1	157	15.8%
9	112	11.3%
2	83	8.3%
3	81	8.1%
8	61	6.1%
4	45	4.5%
6	37	3.7%
7	34	3.4%
5	27	2.7%

Latin

Value	Count	Frequency (%)
M	122	61.3%
H	39	19.6%
G	38	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1194	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	358	30.0%
1	157	13.1%
M	122	10.2%
9	112	9.4%
2	83	7.0%
3	81	6.8%
8	61	5.1%
4	45	3.8%
H	39	3.3%
G	38	3.2%
Other values (3)	98	8.2%

에이프릴문 하우스
Text

UNIQUE

Distinct	199
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	21
Median length	13
Mean length	5.080402
Min length	1

Characters and Unicode

Total characters	1011
Distinct characters	256
Distinct categories	6 ?
Distinct scripts	4 ?
Distinct blocks	3 ?

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

Unique

Unique	199 ?
Unique (%)	100.0%

Sample

1st row	빅토리아여관
2nd row	아리아모텔
3rd row	풍년파크장
4th row	호텔 세느
5th row	포시즌호텔

Value	Count	Frequency (%)
호텔	12	4.6%
역삼	5	1.9%
강남	4	1.5%
하우스	3	1.2%
더	3	1.2%
모텔	3	1.2%
프리미어	2	0.8%
신라스테이	2	0.8%
케이	2	0.8%
게스트하우스	2	0.8%
Other values (219)	222	85.4%

Most occurring characters

Value	Count	Frequency (%)
텔	84	8.3%
	61	6.0%
스	57	5.6%
호	55	5.4%
모	33	3.3%
우	29	2.9%
하	27	2.7%
리	25	2.5%
이	23	2.3%
장	15	1.5%
Other values (246)	602	59.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	916	90.6%
Space Separator	61	6.0%
Uppercase Letter	21	2.1%
Decimal Number	9	0.9%
Other Punctuation	3	0.3%
Lowercase Letter	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
텔	84	9.2%
스	57	6.2%
호	55	6.0%
모	33	3.6%
우	29	3.2%
하	27	2.9%
리	25	2.7%
이	23	2.5%
장	15	1.6%
트	14	1.5%
Other values (221)	554	60.5%

Uppercase Letter

Value	Count	Frequency (%)
L	5	23.8%
E	3	14.3%
C	3	14.3%
B	2	9.5%
F	1	4.8%
K	1	4.8%
A	1	4.8%
T	1	4.8%
M	1	4.8%
H	1	4.8%
Other values (2)	2	9.5%

Decimal Number

Value	Count	Frequency (%)
7	2	22.2%
6	1	11.1%
8	1	11.1%
3	1	11.1%
1	1	11.1%
2	1	11.1%
0	1	11.1%
9	1	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	1	33.3%
&	1	33.3%
'	1	33.3%

Space Separator

Value	Count	Frequency (%)
	61	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	914	90.4%
Common	73	7.2%
Latin	22	2.2%
Han	2	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
텔	84	9.2%
스	57	6.2%
호	55	6.0%
모	33	3.6%
우	29	3.2%
하	27	3.0%
리	25	2.7%
이	23	2.5%
장	15	1.6%
트	14	1.5%
Other values (219)	552	60.4%

Latin

Value	Count	Frequency (%)
L	5	22.7%
E	3	13.6%
C	3	13.6%
B	2	9.1%
F	1	4.5%
K	1	4.5%
A	1	4.5%
T	1	4.5%
a	1	4.5%
M	1	4.5%
Other values (3)	3	13.6%

Common

Value	Count	Frequency (%)
	61	83.6%
7	2	2.7%
.	1	1.4%
&	1	1.4%
6	1	1.4%
8	1	1.4%
3	1	1.4%
1	1	1.4%
2	1	1.4%
0	1	1.4%
Other values (2)	2	2.7%

Han

Value	Count	Frequency (%)
秀	1	50.0%
家	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	914	90.4%
ASCII	95	9.4%
CJK	2	0.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
텔	84	9.2%
스	57	6.2%
호	55	6.0%
모	33	3.6%
우	29	3.2%
하	27	3.0%
리	25	2.7%
이	23	2.5%
장	15	1.6%
트	14	1.5%
Other values (219)	552	60.4%

ASCII

Value	Count	Frequency (%)
	61	64.2%
L	5	5.3%
E	3	3.2%
C	3	3.2%
B	2	2.1%
7	2	2.1%
.	1	1.1%
F	1	1.1%
&	1	1.1%
K	1	1.1%
Other values (15)	15	15.8%

CJK

Value	Count	Frequency (%)
秀	1	50.0%
家	1	50.0%

547293
Real number (ℝ)

HIGH CORRELATION

Distinct	191
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	551532.04

Minimum	541988
Maximum	563728
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	541988
5-th percentile	544768.5
Q1	546238
median	549398
Q3	558132.5
95-th percentile	560362.1
Maximum	563728
Range	21740
Interquartile range (IQR)	11894.5

Descriptive statistics

Standard deviation	6097.1374
Coefficient of variation (CV)	0.011054911
Kurtosis	-1.3567599
Mean	551532.04
Median Absolute Deviation (MAD)	4184
Skewness	0.4601656
Sum	1.0975488 × 10⁸
Variance	37175084
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
546238	5	2.5%
548097	2	1.0%
546632	2	1.0%
545143	2	1.0%
546575	2	1.0%
548028	1	0.5%
557571	1	0.5%
560355	1	0.5%
544905	1	0.5%
559404	1	0.5%
Other values (181)	181	91.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
541988	1	0.5%
543870	1	0.5%
544044	1	0.5%
544050	1	0.5%
544186	1	0.5%
544224	1	0.5%
544509	1	0.5%
544580	1	0.5%
544730	1	0.5%
544737	1	0.5%

Value	Count	Frequency (%)
563728	1	0.5%
563587	1	0.5%
563481	1	0.5%
563353	1	0.5%
563352	1	0.5%
562563	1	0.5%
561170	1	0.5%
561056	1	0.5%
560919	1	0.5%
560426	1	0.5%

283725
Real number (ℝ)

Distinct	162
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	184121.85

Minimum	4380
Maximum	509232
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	4380
5-th percentile	15071.6
Q1	25925
median	219623
Q3	273178
95-th percentile	414582.7
Maximum	509232
Range	504852
Interquartile range (IQR)	247253

Descriptive statistics

Standard deviation	138892.52
Coefficient of variation (CV)	0.7543511
Kurtosis	-1.0429806
Mean	184121.85
Median Absolute Deviation (MAD)	134975
Skewness	0.14128566
Sum	36640249
Variance	1.9291133 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17279	6	3.0%
349830	5	2.5%
219285	4	2.0%
220729	4	2.0%
215851	3	1.5%
219917	3	1.5%
15142	3	1.5%
25893	3	1.5%
17014	3	1.5%
4380	2	1.0%
Other values (152)	163	81.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4380	2	1.0%
13776	1	0.5%
14432	1	0.5%
14513	1	0.5%
14652	1	0.5%
14709	1	0.5%
14852	1	0.5%
14855	1	0.5%
15059	1	0.5%
15073	1	0.5%

Value	Count	Frequency (%)
509232	1	0.5%
501958	2	1.0%
500559	1	0.5%
418816	1	0.5%
416841	1	0.5%
416838	1	0.5%
415663	1	0.5%
415274	1	0.5%
414823	1	0.5%
414556	1	0.5%

서울특별시 강남구 압구정로18길 19 4층 (신사동)
Text

UNIQUE

Distinct	199
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	55
Median length	45
Mean length	27.81407
Min length	22

Characters and Unicode

Total characters	5535
Distinct characters	161
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	199 ?
Unique (%)	100.0%

Sample

1st row	서울특별시 강서구 월정로18길 13 (화곡동)
2nd row	서울특별시 강서구 월정로18길 9 (화곡동)
3rd row	서울특별시 강북구 도봉로 366 (번동)
4th row	서울특별시 강남구 논현로 533 호텔 세느 (역삼동)
5th row	서울특별시 강북구 오패산로77길 46 (번동)

Value	Count	Frequency (%)
서울특별시	199	18.2%
강남구	78	7.1%
강북구	68	6.2%
강서구	53	4.8%
화곡동	34	3.1%
미아동	27	2.5%
수유동	26	2.4%
역삼동	25	2.3%
삼성동	21	1.9%
논현동	14	1.3%
Other values (336)	551	50.3%

Most occurring characters

Value	Count	Frequency (%)
	963	17.4%
서	259	4.7%
동	227	4.1%
강	211	3.8%
구	203	3.7%
울	201	3.6%
)	200	3.6%
(	200	3.6%
로	199	3.6%
시	199	3.6%
Other values (151)	2673	48.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3226	58.3%
Space Separator	963	17.4%
Decimal Number	880	15.9%
Close Punctuation	200	3.6%
Open Punctuation	200	3.6%
Dash Punctuation	33	0.6%
Uppercase Letter	26	0.5%
Other Punctuation	5	0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	259	8.0%
동	227	7.0%
강	211	6.5%
구	203	6.3%
울	201	6.2%
로	199	6.2%
시	199	6.2%
별	199	6.2%
특	199	6.2%
길	134	4.2%
Other values (123)	1195	37.0%

Uppercase Letter

Value	Count	Frequency (%)
L	4	15.4%
E	3	11.5%
I	3	11.5%
O	3	11.5%
H	3	11.5%
R	2	7.7%
T	2	7.7%
A	2	7.7%
P	1	3.8%
C	1	3.8%
Other values (2)	2	7.7%

Decimal Number

Value	Count	Frequency (%)
1	191	21.7%
3	109	12.4%
2	102	11.6%
0	77	8.8%
6	76	8.6%
7	74	8.4%
4	73	8.3%
8	65	7.4%
5	61	6.9%
9	52	5.9%

Space Separator

Value	Count	Frequency (%)
	963	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	200	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	200	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	5	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3226	58.3%
Common	2283	41.2%
Latin	26	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	259	8.0%
동	227	7.0%
강	211	6.5%
구	203	6.3%
울	201	6.2%
로	199	6.2%
시	199	6.2%
별	199	6.2%
특	199	6.2%
길	134	4.2%
Other values (123)	1195	37.0%

Common

Value	Count	Frequency (%)
	963	42.2%
)	200	8.8%
(	200	8.8%
1	191	8.4%
3	109	4.8%
2	102	4.5%
0	77	3.4%
6	76	3.3%
7	74	3.2%
4	73	3.2%
Other values (6)	218	9.5%

Latin

Value	Count	Frequency (%)
L	4	15.4%
E	3	11.5%
I	3	11.5%
O	3	11.5%
H	3	11.5%
R	2	7.7%
T	2	7.7%
A	2	7.7%
P	1	3.8%
C	1	3.8%
Other values (2)	2	7.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3226	58.3%
ASCII	2309	41.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	963	41.7%
)	200	8.7%
(	200	8.7%
1	191	8.3%
3	109	4.7%
2	102	4.4%
0	77	3.3%
6	76	3.3%
7	74	3.2%
4	73	3.2%
Other values (18)	244	10.6%

Hangul

Value	Count	Frequency (%)
서	259	8.0%
동	227	7.0%
강	211	6.5%
구	203	6.3%
울	201	6.2%
로	199	6.2%
시	199	6.2%
별	199	6.2%
특	199	6.2%
길	134	4.2%
Other values (123)	1195	37.0%

도시민박
Categorical

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

여관	122
도시민박	38
관광호텔	30
일반호텔	9

Length

Max length	4
Median length	2
Mean length	2.7738693
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
여관	122	61.3%
도시민박	38	19.1%
관광호텔	30	15.1%
일반호텔	9	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
여관	122	61.3%
도시민박	38	19.1%
관광호텔	30	15.1%
일반호텔	9	4.5%

-9999
Real number (ℝ)

Distinct	9
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-9592.191

Minimum	-9999
Maximum	336
Zeros	0
Zeros (%)	0.0%
Negative	191
Negative (%)	96.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	-9999
5-th percentile	-9999
Q1	-9999
median	-9999
Q3	-9999
95-th percentile	-9999
Maximum	336
Range	10335
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1992.8902
Coefficient of variation (CV)	-0.20776173
Kurtosis	20.469924
Mean	-9592.191
Median Absolute Deviation (MAD)	0
Skewness	4.7181479
Sum	-1908846
Variance	3971611.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
-9999	191	96.0%
280	1	0.5%
50	1	0.5%
51	1	0.5%
54	1	0.5%
100	1	0.5%
336	1	0.5%
28	1	0.5%
64	1	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-9999	191	96.0%
28	1	0.5%
50	1	0.5%
51	1	0.5%
54	1	0.5%
64	1	0.5%
100	1	0.5%
280	1	0.5%
336	1	0.5%

Value	Count	Frequency (%)
336	1	0.5%
280	1	0.5%
100	1	0.5%
64	1	0.5%
54	1	0.5%
51	1	0.5%
50	1	0.5%
28	1	0.5%
-9999	191	96.0%

1168010700005680005
Real number (ℝ)

HIGH CORRELATION

Distinct	193
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1504023 × 10¹⁸

Minimum	1.1305101 × 10¹⁸
Maximum	1.168011 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1305101 × 10¹⁸
5-th percentile	1.1305101 × 10¹⁸
Q1	1.1305103 × 10¹⁸
median	1.1500103 × 10¹⁸
Q3	1.1680104 × 10¹⁸
95-th percentile	1.1680108 × 10¹⁸
Maximum	1.168011 × 10¹⁸
Range	3.75009 × 10¹⁶
Interquartile range (IQR)	3.75001 × 10¹⁶

Descriptive statistics

Standard deviation	1.6064746 × 10¹⁶
Coefficient of variation (CV)	0.013964459
Kurtosis	-1.6277205
Mean	1.1504023 × 10¹⁸
Median Absolute Deviation (MAD)	1.80002 × 10¹⁶
Skewness	-0.13464452
Sum	7.5691325 × 10¹⁸
Variance	2.5807607 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1168010500001070000	5	2.5%
1168010800001070027	2	1.0%
1168010100007000031	2	1.0%
1150010300009370009	1	0.5%
1150010300009220015	1	0.5%
1130510100004570016	1	0.5%
1130510300001750020	1	0.5%
1168010100006210008	1	0.5%
1130510300000900007	1	0.5%
1168010800002010005	1	0.5%
Other values (183)	183	92.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1130510100000350030	1	0.5%
1130510100000370006	1	0.5%
1130510100000380021	1	0.5%
1130510100000420099	1	0.5%
1130510100000420115	1	0.5%
1130510100000440004	1	0.5%
1130510100000440015	1	0.5%
1130510100000440026	1	0.5%
1130510100000440029	1	0.5%
1130510100000440030	1	0.5%

Value	Count	Frequency (%)
1168011000003690001	1	0.5%
1168010800002730010	1	0.5%
1168010800002010005	1	0.5%
1168010800002010004	1	0.5%
1168010800001510030	1	0.5%
1168010800001330002	1	0.5%
1168010800001250010	1	0.5%
1168010800001070027	2	1.0%
1168010800000740000	1	0.5%
1168010800000540004	1	0.5%

1168010700105680005010495
Real number (ℝ)

HIGH CORRELATION

Distinct	151
Distinct (%)	75.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1504023 × 10²⁴

Minimum	1.1305101 × 10²⁴
Maximum	1.168011 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1305101 × 10²⁴
5-th percentile	1.1305101 × 10²⁴
Q1	1.1305103 × 10²⁴
median	1.1500103 × 10²⁴
Q3	1.1680104 × 10²⁴
95-th percentile	1.1680108 × 10²⁴
Maximum	1.168011 × 10²⁴
Range	3.75009 × 10²²
Interquartile range (IQR)	3.75001 × 10²²

Descriptive statistics

Standard deviation	1.6064746 × 10²²
Coefficient of variation (CV)	0.013964459
Kurtosis	-1.6277205
Mean	1.1504023 × 10²⁴
Median Absolute Deviation (MAD)	1.80002 × 10²²
Skewness	-0.13464452
Sum	2.2893006 × 10²⁶
Variance	2.5807607 × 10⁴⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.15001030010937e+24	6	3.0%
1.13051020010446e+24	5	2.5%
1.16801050010107e+24	5	2.5%
1.13051010010044e+24	5	2.5%
1.15001030010024e+24	4	2.0%
1.1680101001072e+24	4	2.0%
1.15001030010982e+24	3	1.5%
1.15001030010905e+24	3	1.5%
1.16801080010201e+24	2	1.0%
1.1305103001023e+24	2	1.0%
Other values (141)	160	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.13051010010035e+24	1	0.5%
1.13051010010037e+24	1	0.5%
1.13051010010038e+24	1	0.5%
1.13051010010042e+24	2	1.0%
1.13051010010044e+24	5	2.5%
1.1305101001006e+24	1	0.5%
1.1305101001016e+24	2	1.0%
1.13051010010187e+24	1	0.5%
1.13051010010189e+24	1	0.5%
1.13051010010223e+24	1	0.5%

Value	Count	Frequency (%)
1.16801100010369e+24	1	0.5%
1.16801080010273e+24	1	0.5%
1.16801080010201e+24	2	1.0%
1.16801080010151e+24	1	0.5%
1.16801080010133e+24	1	0.5%
1.16801080010125e+24	1	0.5%
1.16801080010107e+24	2	1.0%
1.16801080010074e+24	1	0.5%
1.16801080010054e+24	1	0.5%
1.16801080010041e+24	1	0.5%

서울특별시 강남구 신사동 568-5번지
Text

Distinct	193
Distinct (%)	97.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	23
Median length	22
Mean length	21.236181
Min length	17

Characters and Unicode

Total characters	4226
Distinct characters	57
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	190 ?
Unique (%)	95.5%

Sample

1st row	서울특별시 강서구 화곡동 937-9번지
2nd row	서울특별시 강서구 화곡동 937-11번지
3rd row	서울특별시 강북구 번동 463-53번지
4th row	서울특별시 강남구 역삼동 628-12번지
5th row	서울특별시 강북구 번동 446-65번지

Value	Count	Frequency (%)
서울특별시	199	25.0%
강남구	78	9.8%
강북구	68	8.5%
강서구	53	6.7%
화곡동	34	4.3%
미아동	27	3.4%
수유동	26	3.3%
역삼동	25	3.1%
삼성동	17	2.1%
논현동	14	1.8%
Other values (207)	255	32.0%

Most occurring characters

Value	Count	Frequency (%)
	597	14.1%
서	252	6.0%
번	208	4.9%
구	200	4.7%
특	199	4.7%
별	199	4.7%
시	199	4.7%
강	199	4.7%
동	199	4.7%
울	199	4.7%
Other values (47)	1775	42.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2579	61.0%
Decimal Number	868	20.5%
Space Separator	597	14.1%
Dash Punctuation	182	4.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	252	9.8%
번	208	8.1%
구	200	7.8%
특	199	7.7%
별	199	7.7%
시	199	7.7%
강	199	7.7%
동	199	7.7%
울	199	7.7%
지	199	7.7%
Other values (35)	526	20.4%

Decimal Number

Value	Count	Frequency (%)
1	160	18.4%
2	125	14.4%
4	88	10.1%
3	82	9.4%
7	79	9.1%
6	75	8.6%
9	71	8.2%
0	71	8.2%
5	69	7.9%
8	48	5.5%

Space Separator

Value	Count	Frequency (%)
	597	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	182	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2579	61.0%
Common	1647	39.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	252	9.8%
번	208	8.1%
구	200	7.8%
특	199	7.7%
별	199	7.7%
시	199	7.7%
강	199	7.7%
동	199	7.7%
울	199	7.7%
지	199	7.7%
Other values (35)	526	20.4%

Common

Value	Count	Frequency (%)
	597	36.2%
-	182	11.1%
1	160	9.7%
2	125	7.6%
4	88	5.3%
3	82	5.0%
7	79	4.8%
6	75	4.6%
9	71	4.3%
0	71	4.3%
Other values (2)	117	7.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2579	61.0%
ASCII	1647	39.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	597	36.2%
-	182	11.1%
1	160	9.7%
2	125	7.6%
4	88	5.3%
3	82	5.0%
7	79	4.8%
6	75	4.6%
9	71	4.3%
0	71	4.3%
Other values (2)	117	7.1%

Hangul

Value	Count	Frequency (%)
서	252	9.8%
번	208	8.1%
구	200	7.8%
특	199	7.7%
별	199	7.7%
시	199	7.7%
강	199	7.7%
동	199	7.7%
울	199	7.7%
지	199	7.7%
Other values (35)	526	20.4%

서울특별시 강남구 압구정로18길 19
Text

Distinct	191
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	24
Median length	22
Mean length	18.728643
Min length	1

Characters and Unicode

Total characters	3727
Distinct characters	85
Distinct categories	6 ?
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	187 ?
Unique (%)	94.0%

Sample

1st row	서울특별시 강서구 월정로18길 13
2nd row	서울특별시 강서구 월정로18길 9
3rd row	서울특별시 강북구 도봉로 366
4th row	서울특별시 강남구 논현로 533
5th row	서울특별시 강북구 오패산로77길 46

Value	Count	Frequency (%)
서울특별시	196	24.9%
강남구	77	9.8%
강북구	68	8.6%
강서구	51	6.5%
영동대로	8	1.0%
11	8	1.0%
논현로	7	0.9%
도봉로73길	6	0.8%
도산대로	6	0.8%
602	5	0.6%
Other values (242)	355	45.1%

Most occurring characters

Value	Count	Frequency (%)
	588	15.8%
서	251	6.7%
강	205	5.5%
구	199	5.3%
특	196	5.3%
별	196	5.3%
시	196	5.3%
울	196	5.3%
로	195	5.2%
1	158	4.2%
Other values (75)	1347	36.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2372	63.6%
Decimal Number	730	19.6%
Space Separator	588	15.8%
Dash Punctuation	33	0.9%
Uppercase Letter	3	0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	251	10.6%
강	205	8.6%
구	199	8.4%
특	196	8.3%
별	196	8.3%
시	196	8.3%
울	196	8.3%
로	195	8.2%
길	133	5.6%
남	82	3.5%
Other values (61)	523	22.0%

Decimal Number

Value	Count	Frequency (%)
1	158	21.6%
3	96	13.2%
2	77	10.5%
6	70	9.6%
7	66	9.0%
4	60	8.2%
8	60	8.2%
5	55	7.5%
9	46	6.3%
0	42	5.8%

Space Separator

Value	Count	Frequency (%)
	588	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	33	100.0%

Uppercase Letter

Value	Count	Frequency (%)
X	3	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2372	63.6%
Common	1352	36.3%
Latin	3	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	251	10.6%
강	205	8.6%
구	199	8.4%
특	196	8.3%
별	196	8.3%
시	196	8.3%
울	196	8.3%
로	195	8.2%
길	133	5.6%
남	82	3.5%
Other values (61)	523	22.0%

Common

Value	Count	Frequency (%)
	588	43.5%
1	158	11.7%
3	96	7.1%
2	77	5.7%
6	70	5.2%
7	66	4.9%
4	60	4.4%
8	60	4.4%
5	55	4.1%
9	46	3.4%
Other values (3)	76	5.6%

Latin

Value	Count	Frequency (%)
X	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2372	63.6%
ASCII	1355	36.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	588	43.4%
1	158	11.7%
3	96	7.1%
2	77	5.7%
6	70	5.2%
7	66	4.9%
4	60	4.4%
8	60	4.4%
5	55	4.1%
9	46	3.4%
Other values (4)	79	5.8%

Hangul

Value	Count	Frequency (%)
서	251	10.6%
강	205	8.6%
구	199	8.4%
특	196	8.3%
별	196	8.3%
시	196	8.3%
울	196	8.3%
로	195	8.2%
길	133	5.6%
남	82	3.5%
Other values (61)	523	22.0%

314014
Real number (ℝ)

Distinct	189
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	310182.28

Minimum	294315
Maximum	317613
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	294315
5-th percentile	295536.4
Q1	300571
median	314070
Q3	314832
95-th percentile	316600.4
Maximum	317613
Range	23298
Interquartile range (IQR)	14261

Descriptive statistics

Standard deviation	7634.9912
Coefficient of variation (CV)	0.02461453
Kurtosis	-0.74436472
Mean	310182.28
Median Absolute Deviation (MAD)	1139
Skewness	-1.0548988
Sum	61726274
Variance	58293091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
317148	5	2.5%
314042	2	1.0%
315499	2	1.0%
297614	2	1.0%
315058	2	1.0%
314423	2	1.0%
315646	2	1.0%
298288	1	0.5%
314349	1	0.5%
314372	1	0.5%
Other values (179)	179	89.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
294315	1	0.5%
294423	1	0.5%
294889	1	0.5%
295036	1	0.5%
295058	1	0.5%
295063	1	0.5%
295085	1	0.5%
295184	1	0.5%
295410	1	0.5%
295477	1	0.5%

Value	Count	Frequency (%)
317613	1	0.5%
317372	1	0.5%
317183	1	0.5%
317148	5	2.5%
316827	1	0.5%
316667	1	0.5%
316593	1	0.5%
316561	1	0.5%
316516	1	0.5%
316457	1	0.5%

Phik (φk)
Auto

Heatmap
Table

	547293	283725	도시민박	-9999	1168010700005680005	1168010700105680005010495	314014
547293	1.000	0.787	0.536	NaN	0.928	0.928	0.850
283725	0.787	1.000	0.544	NaN	0.798	0.798	0.595
도시민박	0.536	0.544	1.000	NaN	0.465	0.465	0.313
-9999	NaN	NaN	NaN	1.000	NaN	NaN	NaN
1168010700005680005	0.928	0.798	0.465	NaN	1.000	1.000	0.977
1168010700105680005010495	0.928	0.798	0.465	NaN	1.000	1.000	0.977
314014	0.850	0.595	0.313	NaN	0.977	0.977	1.000

Heatmap
Table

	547293	283725	-9999	1168010700005680005	1168010700105680005010495	314014	도시민박
547293	1.000	-0.218	-0.038	-0.800	-0.800	-0.434	0.350
283725	-0.218	1.000	-0.140	0.018	0.017	0.499	0.348
-9999	-0.038	-0.140	1.000	0.046	0.046	-0.129	0.471
1168010700005680005	-0.800	0.018	0.046	1.000	1.000	0.284	0.460
1168010700105680005010495	-0.800	0.017	0.046	1.000	1.000	0.284	0.175
314014	-0.434	0.499	-0.129	0.284	0.284	1.000	0.215
도시민박	0.350	0.348	0.471	0.460	0.175	0.215	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

	G01204	에이프릴문 하우스	547293	283725	서울특별시 강남구 압구정로18길 19 4층 (신사동)	도시민박	-9999	1168010700005680005	1168010700105680005010495	서울특별시 강남구 신사동 568-5번지	서울특별시 강남구 압구정로18길 19	314014
0	M01351	빅토리아여관	548098	17279	서울특별시 강서구 월정로18길 13 (화곡동)	여관	-9999	1150010300009370009	1150010300109370009024261	서울특별시 강서구 화곡동 937-9번지	서울특별시 강서구 월정로18길 13	297632
1	M01356	아리아모텔	548097	17279	서울특별시 강서구 월정로18길 9 (화곡동)	여관	-9999	1150010300009370011	1150010300109370011024785	서울특별시 강서구 화곡동 937-11번지	서울특별시 강서구 월정로18길 9	297615
2	M00904	풍년파크장	560156	218961	서울특별시 강북구 도봉로 366 (번동)	여관	-9999	1130510200004630053	1130510200104630053016272	서울특별시 강북구 번동 463-53번지	서울특별시 강북구 도봉로 366	314407
3	H00377	호텔 세느	545079	275665	서울특별시 강남구 논현로 533 호텔 세느 (역삼동)	관광호텔	-9999	1168010100006280012	1168010100106280012022707	서울특별시 강남구 역삼동 628-12번지	서울특별시 강남구 논현로 533	314887
4	M01003	포시즌호텔	559738	219285	서울특별시 강북구 오패산로77길 46 (번동)	여관	-9999	1130510200004460065	1130510200104460065018004	서울특별시 강북구 번동 446-65번지	서울특별시 강북구 오패산로77길 46	314103
5	H02909	호텔클릭	545837	350522	서울특별시 강남구 봉은사로 409 (삼성동)	일반호텔	-9999	1168010500000370016	1168010500100370016016433	서울특별시 강남구 삼성동 37-16번지	서울특별시 강남구 봉은사로 409	315742
6	M00992	신세계	557028	220729	서울특별시 강북구 월계로3길 41 (미아동)	여관	-9999	1130510100000370006	1130510100100370006027228	서울특별시 강북구 미아동 37-6번지	서울특별시 강북구 월계로3길 41	314646
7	M00878	몽	557089	220731	서울특별시 강북구 도봉로6길 28 (미아동)	여관	-9999	1130510100000440004	1130510100100440004027856	서울특별시 강북구 미아동 44-4번지	서울특별시 강북구 도봉로6길 28	314698
8	M01315	금성여관	548392	355484	서울특별시 강서구 곰달래로 257 (화곡동)	여관	-9999	1150010300007970020	1150010300107970020020298	서울특별시 강서구 화곡동 797-20번지	서울특별시 강서구 곰달래로 257	299578
9	M01903	프린세스호텔	547678	24425	서울특별시 강남구 압구정로46길 17 (신사동)	여관	-9999	1168010700006410001	1168010700106410001009797	서울특별시 강남구 신사동 641-1번지	서울특별시 강남구 압구정로46길 17	315046

	G01204	에이프릴문 하우스	547293	283725	서울특별시 강남구 압구정로18길 19 4층 (신사동)	도시민박	-9999	1168010700005680005	1168010700105680005010495	서울특별시 강남구 신사동 568-5번지	서울특별시 강남구 압구정로18길 19	314014
189	G01174	준엽하우스	546238	349830	서울특별시 강남구 영동대로 602 902호 (삼성동 삼성동 미켈란 107)	도시민박	-9999	1168010500001070000	1168010500101070010027830	서울특별시 강남구 삼성동 107번지	서울특별시 강남구 영동대로 602	317148
190	M00981	르레브	559502	218992	서울특별시 강북구 덕릉로26길 16 (수유동)	여관	-9999	1130510300001040002	1130510300101040002013803	서울특별시 강북구 수유동 104-2번지	서울특별시 강북구 덕릉로26길 16	313898
191	M00891	블루모텔	558530	220516	서울특별시 강북구 도봉로49길 7 (미아동)	여관	-9999	1130510100003040016	1130510100103040016029572	서울특별시 강북구 미아동 304-16번지	서울특별시 강북구 도봉로49길 7	314226
192	G01231	야코리아 강남	545143	275602	서울특별시 강남구 테헤란로43길 19 (역삼동)	도시민박	-9999	1168010100007000031	1168010100107000031026240	서울특별시 강남구 역삼동 700-31번지	서울특별시 강남구 테헤란로43길 19	315646
193	M01314	티롤	550176	14855	서울특별시 강서구 공항대로75길 48 (염창동)	여관	-9999	1150010100002620004	1150010100102620004028175	서울특별시 강서구 염창동 262-4번지	X	300843
194	G00573	해피 하우스	557540	221015	서울특별시 강북구 삼양로27길 19 (미아동)	도시민박	-9999	1130510100008120000	1130510100108120000000001	서울특별시 강북구 미아동 812번지	서울특별시 강북구 삼양로27길 19	313832
195	G01183	은실하우스	546809	28258	서울특별시 강남구 강남대로158길 34-2 201호 (신사동)	도시민박	-9999	1168010700005180018	1168010700105180018011753	서울특별시 강남구 신사동 518-18번지	서울특별시 강남구 강남대로158길 34-2	313704
196	M01898	아마레호텔	544044	277250	서울특별시 강남구 논현로 328 (역삼동)	여관	-9999	1168010100007760019	1168010100107760019025311	서울특별시 강남구 역삼동 776-19번지	서울특별시 강남구 논현로 328	315325
197	H00368	영동관광호텔	546611	25467	서울특별시 강남구 도산대로 144 (논현동 영동관광호텔)	관광호텔	-9999	1168010800000060000	1168010800100060000005754	서울특별시 강남구 논현동 6번지	X	313974
198	G01244	압구정게스트하우스	548375	32908	서울특별시 강남구 압구정로29길 71 23동 6층 3호 (압구정동 현대아파트)	도시민박	-9999	1168011000003690001	1168011000103690001004767	서울특별시 강남구 압구정동 369-1번지	서울특별시 강남구 압구정로29길 71	314318

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

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Han

Most occurring blocks

Most frequent character per block

Hangul

ASCII

CJK

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Other Punctuation

Math Symbol

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)

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