gimi9 Pandas Profiling

Dataset statistics

Number of variables	17
Number of observations	199
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	27.9 KiB
Average record size in memory	143.6 B

Variable types

Text	7
Numeric	7
Categorical	3

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMOFFICEINFO017FREE

Alerts

`20210101` has constant value ""	Constant
`1150010200006280017` is highly overall correlated with `1150010200106280017027305` and 3 other fields	High correlation
`1150010200106280017027305` is highly overall correlated with `1150010200006280017` and 4 other fields	High correlation
`299176` is highly overall correlated with `1150010200006280017` and 2 other fields	High correlation
`551389` is highly overall correlated with `1150010200006280017` and 2 other fields	High correlation
`2367000` is highly overall correlated with `1150010200006280017` and 1 other fields	High correlation
`302동` is highly overall correlated with `1150010200106280017027305`	High correlation
`302동` is highly imbalanced (66.5%)	Imbalance
`서울특별시 강서구 등촌동 628-17번지 강변샤르망3단지302동 302동동 303호` has unique values	Unique
`서울특별시 강서구 공항대로45길 95 강변샤르망3단지302동 302동동 303호` has unique values	Unique
`OH01167090` has unique values	Unique

Reproduction

Analysis started	2024-04-21 02:49:24.148558
Analysis finished	2024-04-21 02:49:47.602632
Duration	23.45 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

OI00019952
Text

Distinct	145
Distinct (%)	72.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1990
Distinct characters	12
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	111 ?
Unique (%)	55.8%

Sample

1st row	OI00003919
2nd row	OI00001176
3rd row	OI00001130
4th row	OI00054603
5th row	OI00037017

Value	Count	Frequency (%)
oi00001149	7	3.5%
oi00018336	4	2.0%
oi00003936	3	1.5%
oi00003919	3	1.5%
oi00017953	3	1.5%
oi00001133	3	1.5%
oi00039675	3	1.5%
oi00023319	3	1.5%
oi00054588	3	1.5%
oi00053848	3	1.5%
Other values (135)	164	82.4%

Most occurring characters

Value	Count	Frequency (%)
0	725	36.4%
O	199	10.0%
I	199	10.0%
3	185	9.3%
1	139	7.0%
4	93	4.7%
9	93	4.7%
5	85	4.3%
2	85	4.3%
6	67	3.4%
Other values (2)	120	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1592	80.0%
Uppercase Letter	398	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	725	45.5%
3	185	11.6%
1	139	8.7%
4	93	5.8%
9	93	5.8%
5	85	5.3%
2	85	5.3%
6	67	4.2%
8	63	4.0%
7	57	3.6%

Uppercase Letter

Value	Count	Frequency (%)
O	199	50.0%
I	199	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1592	80.0%
Latin	398	20.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	725	45.5%
3	185	11.6%
1	139	8.7%
4	93	5.8%
9	93	5.8%
5	85	5.3%
2	85	5.3%
6	67	4.2%
8	63	4.0%
7	57	3.6%

Latin

Value	Count	Frequency (%)
O	199	50.0%
I	199	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	725	36.4%
O	199	10.0%
I	199	10.0%
3	185	9.3%
1	139	7.0%
4	93	4.7%
9	93	4.7%
5	85	4.3%
2	85	4.3%
6	67	3.4%
Other values (2)	120	6.0%

OD10019952
Text

Distinct	145
Distinct (%)	72.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1990
Distinct characters	12
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	111 ?
Unique (%)	55.8%

Sample

1st row	OD10003919
2nd row	OD10001176
3rd row	OD10001130
4th row	OD10054603
5th row	OD10037017

Value	Count	Frequency (%)
od10001149	7	3.5%
od10018336	4	2.0%
od10003936	3	1.5%
od10003919	3	1.5%
od10017953	3	1.5%
od10001133	3	1.5%
od10039675	3	1.5%
od10023319	3	1.5%
od10054588	3	1.5%
od10053848	3	1.5%
Other values (135)	164	82.4%

Most occurring characters

Value	Count	Frequency (%)
0	526	26.4%
1	338	17.0%
O	199	10.0%
D	199	10.0%
3	185	9.3%
4	93	4.7%
9	93	4.7%
5	85	4.3%
2	85	4.3%
6	67	3.4%
Other values (2)	120	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1592	80.0%
Uppercase Letter	398	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	526	33.0%
1	338	21.2%
3	185	11.6%
4	93	5.8%
9	93	5.8%
5	85	5.3%
2	85	5.3%
6	67	4.2%
8	63	4.0%
7	57	3.6%

Uppercase Letter

Value	Count	Frequency (%)
O	199	50.0%
D	199	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1592	80.0%
Latin	398	20.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	526	33.0%
1	338	21.2%
3	185	11.6%
4	93	5.8%
9	93	5.8%
5	85	5.3%
2	85	5.3%
6	67	4.2%
8	63	4.0%
7	57	3.6%

Latin

Value	Count	Frequency (%)
O	199	50.0%
D	199	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	526	26.4%
1	338	17.0%
O	199	10.0%
D	199	10.0%
3	185	9.3%
4	93	4.7%
9	93	4.7%
5	85	4.3%
2	85	4.3%
6	67	3.4%
Other values (2)	120	6.0%

1150010200006280017
Real number (ℝ)

HIGH CORRELATION

Distinct	145
Distinct (%)	72.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1574728 × 10¹⁸

Minimum	1.1305101 × 10¹⁸
Maximum	1.1680118 × 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	1.1500102 × 10¹⁸
Q1	1.1500104 × 10¹⁸
median	1.1500109 × 10¹⁸
Q3	1.1680103 × 10¹⁸
95-th percentile	1.1680112 × 10¹⁸
Maximum	1.1680118 × 10¹⁸
Range	3.75017 × 10¹⁶
Interquartile range (IQR)	1.79999 × 10¹⁶

Descriptive statistics

Standard deviation	1.0059491 × 10¹⁶
Coefficient of variation (CV)	0.0086909092
Kurtosis	-0.71201108
Mean	1.1574728 × 10¹⁸
Median Absolute Deviation (MAD)	7.0000534 × 10¹¹
Skewness	-0.28407868
Sum	8.9761583 × 10¹⁸
Variance	1.0119336 × 10³²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1168010300000130003	7	3.5%
1168010100007020013	4	2.0%
1168010100008240025	3	1.5%
1168010600009430024	3	1.5%
1150010500007730001	3	1.5%
1168010100007350011	3	1.5%
1150010500007600000	3	1.5%
1168010500001420003	3	1.5%
1130510100000350004	3	1.5%
1150010500007730003	3	1.5%
Other values (135)	164	82.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1130510100000350004	3	1.5%
1130510100001600003	1	0.5%
1130510200004650004	1	0.5%
1130510300002290049	1	0.5%
1150010100002400021	1	0.5%
1150010100002580001	1	0.5%
1150010100002620000	1	0.5%
1150010100002660008	1	0.5%
1150010200000780007	1	0.5%
1150010200006280016	1	0.5%

Value	Count	Frequency (%)
1168011800004670029	2	1.0%
1168011800004670019	1	0.5%
1168011800004670006	1	0.5%
1168011800004670000	1	0.5%
1168011800001680000	2	1.0%
1168011500007250000	2	1.0%
1168011300001010013	1	0.5%
1168011200006700000	1	0.5%
1168011200006620000	1	0.5%
1168011200006580000	1	0.5%

1150010200106280017027305
Real number (ℝ)

HIGH CORRELATION

Distinct	109
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1574728 × 10²⁴

Minimum	1.1305101 × 10²⁴
Maximum	1.1680118 × 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	1.1500102 × 10²⁴
Q1	1.1500104 × 10²⁴
median	1.1500109 × 10²⁴
Q3	1.1680103 × 10²⁴
95-th percentile	1.1680112 × 10²⁴
Maximum	1.1680118 × 10²⁴
Range	3.75017 × 10²²
Interquartile range (IQR)	1.79999 × 10²²

Descriptive statistics

Standard deviation	1.0059491 × 10²²
Coefficient of variation (CV)	0.0086909092
Kurtosis	-0.71201108
Mean	1.1574728 × 10²⁴
Median Absolute Deviation (MAD)	7.0000534 × 10¹⁷
Skewness	-0.28407868
Sum	2.3033709 × 10²⁶
Variance	1.0119336 × 10⁴⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.15001050010776e+24	8	4.0%
1.16801030010013e+24	7	3.5%
1.16801010010702e+24	5	2.5%
1.16801180010467e+24	5	2.5%
1.1500105001076e+24	5	2.5%
1.1500109001083e+24	5	2.5%
1.15001050010757e+24	4	2.0%
1.15001050010797e+24	4	2.0%
1.15001050010773e+24	4	2.0%
1.15001020010656e+24	4	2.0%
Other values (99)	148	74.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.13051010010035e+24	3	1.5%
1.1305101001016e+24	1	0.5%
1.13051020010465e+24	1	0.5%
1.13051030010229e+24	1	0.5%
1.1500101001024e+24	1	0.5%
1.15001010010258e+24	1	0.5%
1.15001010010262e+24	1	0.5%
1.15001010010266e+24	1	0.5%
1.15001020010078e+24	1	0.5%
1.15001020010628e+24	1	0.5%

Value	Count	Frequency (%)
1.16801180010467e+24	5	2.5%
1.16801180010168e+24	2	1.0%
1.16801150010725e+24	2	1.0%
1.16801130010101e+24	1	0.5%
1.16801120010662e+24	1	0.5%
1.16801120010658e+24	1	0.5%
1.16801120010655e+24	1	0.5%
1.16801120010379e+24	1	0.5%
1.16801120010056e+24	1	0.5%
1.16801110010587e+24	1	0.5%

서울특별시 강서구 등촌동 628-17번지 강변샤르망3단지302동 302동동 303호
Text

UNIQUE

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

Length

Max length	54
Median length	44
Mean length	36.226131
Min length	28

Characters and Unicode

Total characters	7209
Distinct characters	248
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	199 ?
Unique (%)	100.0%

Sample

1st row	서울특별시 강남구 역삼동 824-25번지 대우디오빌플러스 1519호
2nd row	서울특별시 강남구 대치동 511번지 한보미도종합상가 130호
3rd row	서울특별시 강남구 역삼동 707-38번지 테헤란로오피스텔 408호
4th row	서울특별시 강서구 염창동 262번지 염창투웨니퍼스트 401호
5th row	서울특별시 강서구 마곡동 739-2번지 우성르보아투 -동 1011호

Value	Count	Frequency (%)
서울특별시	199	16.1%
강서구	104	8.4%
강남구	89	7.2%
마곡동	48	3.9%
역삼동	31	2.5%
동	27	2.2%
화곡동	19	1.5%
등촌동	13	1.0%
대치동	13	1.0%
방화동	11	0.9%
Other values (486)	685	55.3%

Most occurring characters

Value	Count	Frequency (%)
	1040	14.4%
1	328	4.5%
서	319	4.4%
동	286	4.0%
지	235	3.3%
강	224	3.1%
시	219	3.0%
호	213	3.0%
-	212	2.9%
울	203	2.8%
Other values (238)	3930	54.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4320	59.9%
Decimal Number	1561	21.7%
Space Separator	1040	14.4%
Dash Punctuation	212	2.9%
Uppercase Letter	58	0.8%
Close Punctuation	5	0.1%
Open Punctuation	5	0.1%
Letter Number	5	0.1%
Lowercase Letter	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	319	7.4%
동	286	6.6%
지	235	5.4%
강	224	5.2%
시	219	5.1%
호	213	4.9%
울	203	4.7%
구	200	4.6%
번	200	4.6%
별	199	4.6%
Other values (203)	2022	46.8%

Uppercase Letter

Value	Count	Frequency (%)
B	18	31.0%
I	6	10.3%
A	5	8.6%
O	5	8.6%
C	4	6.9%
L	3	5.2%
R	3	5.2%
G	3	5.2%
V	2	3.4%
H	2	3.4%
Other values (7)	7	12.1%

Decimal Number

Value	Count	Frequency (%)
1	328	21.0%
2	194	12.4%
0	185	11.9%
3	162	10.4%
7	156	10.0%
6	132	8.5%
4	122	7.8%
5	101	6.5%
8	98	6.3%
9	83	5.3%

Letter Number

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

Lowercase Letter

Value	Count	Frequency (%)
l	2	66.7%
i	1	33.3%

Space Separator

Value	Count	Frequency (%)
	1040	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	212	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4320	59.9%
Common	2823	39.2%
Latin	66	0.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	319	7.4%
동	286	6.6%
지	235	5.4%
강	224	5.2%
시	219	5.1%
호	213	4.9%
울	203	4.7%
구	200	4.6%
번	200	4.6%
별	199	4.6%
Other values (203)	2022	46.8%

Latin

Value	Count	Frequency (%)
B	18	27.3%
I	6	9.1%
A	5	7.6%
O	5	7.6%
Ⅰ	4	6.1%
C	4	6.1%
L	3	4.5%
R	3	4.5%
G	3	4.5%
V	2	3.0%
Other values (11)	13	19.7%

Common

Value	Count	Frequency (%)
	1040	36.8%
1	328	11.6%
-	212	7.5%
2	194	6.9%
0	185	6.6%
3	162	5.7%
7	156	5.5%
6	132	4.7%
4	122	4.3%
5	101	3.6%
Other values (4)	191	6.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4320	59.9%
ASCII	2884	40.0%
Number Forms	5	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1040	36.1%
1	328	11.4%
-	212	7.4%
2	194	6.7%
0	185	6.4%
3	162	5.6%
7	156	5.4%
6	132	4.6%
4	122	4.2%
5	101	3.5%
Other values (23)	252	8.7%

Hangul

Value	Count	Frequency (%)
서	319	7.4%
동	286	6.6%
지	235	5.4%
강	224	5.2%
시	219	5.1%
호	213	4.9%
울	203	4.7%
구	200	4.6%
번	200	4.6%
별	199	4.6%
Other values (203)	2022	46.8%

Number Forms

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

서울특별시 강서구 공항대로45길 95 강변샤르망3단지302동 302동동 303호
Text

UNIQUE

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

Length

Max length	56
Median length	44
Mean length	35.075377
Min length	28

Characters and Unicode

Total characters	6980
Distinct characters	268
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	199 ?
Unique (%)	100.0%

Sample

1st row	서울특별시 강남구 강남대로84길 33 대우디오빌플러스 1519호
2nd row	서울특별시 강남구 삼성로 150 한보미도종합상가 130호
3rd row	서울특별시 강남구 테헤란로52길 6 테헤란로오피스텔 408호
4th row	서울특별시 강서구 공항대로81길 35 염창투웨니퍼스트 401호
5th row	서울특별시 강서구 마곡중앙5로 87 우성르보아투 -동 1011호

Value	Count	Frequency (%)
서울특별시	199	16.1%
강서구	104	8.4%
강남구	89	7.2%
동	27	2.2%
양천로	9	0.7%
마곡중앙로	9	0.7%
테헤란로	8	0.6%
개포로	8	0.6%
마곡중앙6로	8	0.6%
10	7	0.6%
Other values (525)	771	62.2%

Most occurring characters

Value	Count	Frequency (%)
	1239	17.8%
1	340	4.9%
서	332	4.8%
강	242	3.5%
시	219	3.1%
호	213	3.1%
로	209	3.0%
구	203	2.9%
울	203	2.9%
특	199	2.9%
Other values (258)	3581	51.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	4143	59.4%
Decimal Number	1443	20.7%
Space Separator	1239	17.8%
Dash Punctuation	79	1.1%
Uppercase Letter	58	0.8%
Open Punctuation	5	0.1%
Close Punctuation	5	0.1%
Letter Number	5	0.1%
Lowercase Letter	3	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	332	8.0%
강	242	5.8%
시	219	5.3%
호	213	5.1%
로	209	5.0%
구	203	4.9%
울	203	4.9%
특	199	4.8%
별	199	4.8%
남	115	2.8%
Other values (223)	2009	48.5%

Uppercase Letter

Value	Count	Frequency (%)
B	18	31.0%
I	6	10.3%
A	5	8.6%
O	5	8.6%
C	4	6.9%
R	3	5.2%
L	3	5.2%
G	3	5.2%
V	2	3.4%
H	2	3.4%
Other values (7)	7	12.1%

Decimal Number

Value	Count	Frequency (%)
1	340	23.6%
0	194	13.4%
2	190	13.2%
3	145	10.0%
4	135	9.4%
6	128	8.9%
5	102	7.1%
8	87	6.0%
9	61	4.2%
7	61	4.2%

Letter Number

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

Lowercase Letter

Value	Count	Frequency (%)
l	2	66.7%
i	1	33.3%

Space Separator

Value	Count	Frequency (%)
	1239	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	79	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	4143	59.4%
Common	2771	39.7%
Latin	66	0.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	332	8.0%
강	242	5.8%
시	219	5.3%
호	213	5.1%
로	209	5.0%
구	203	4.9%
울	203	4.9%
특	199	4.8%
별	199	4.8%
남	115	2.8%
Other values (223)	2009	48.5%

Latin

Value	Count	Frequency (%)
B	18	27.3%
I	6	9.1%
A	5	7.6%
O	5	7.6%
Ⅰ	4	6.1%
C	4	6.1%
R	3	4.5%
L	3	4.5%
G	3	4.5%
V	2	3.0%
Other values (11)	13	19.7%

Common

Value	Count	Frequency (%)
	1239	44.7%
1	340	12.3%
0	194	7.0%
2	190	6.9%
3	145	5.2%
4	135	4.9%
6	128	4.6%
5	102	3.7%
8	87	3.1%
-	79	2.9%
Other values (4)	132	4.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	4143	59.4%
ASCII	2832	40.6%
Number Forms	5	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1239	43.8%
1	340	12.0%
0	194	6.9%
2	190	6.7%
3	145	5.1%
4	135	4.8%
6	128	4.5%
5	102	3.6%
8	87	3.1%
-	79	2.8%
Other values (23)	193	6.8%

Hangul

Value	Count	Frequency (%)
서	332	8.0%
강	242	5.8%
시	219	5.3%
호	213	5.1%
로	209	5.0%
구	203	4.9%
울	203	4.9%
특	199	4.8%
별	199	4.8%
남	115	2.8%
Other values (223)	2009	48.5%

Number Forms

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

299176
Real number (ℝ)

HIGH CORRELATION

Distinct	144
Distinct (%)	72.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	306489.46

Minimum	294815
Maximum	322235
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	294815
5-th percentile	295374.2
Q1	297645.5
median	299655
Q3	315885
95-th percentile	318812
Maximum	322235
Range	27420
Interquartile range (IQR)	18239.5

Descriptive statistics

Standard deviation	9609.08
Coefficient of variation (CV)	0.031352074
Kurtosis	-1.8639612
Mean	306489.46
Median Absolute Deviation (MAD)	4618
Skewness	0.12740001
Sum	60991402
Variance	92334419
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
318812	7	3.5%
315782	4	2.0%
296539	3	1.5%
297665	3	1.5%
314738	3	1.5%
296669	3	1.5%
314620	3	1.5%
317041	3	1.5%
316287	3	1.5%
314522	3	1.5%
Other values (134)	164	82.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
294815	1	0.5%
294834	1	0.5%
294872	1	0.5%
294936	1	0.5%
295037	1	0.5%
295320	1	0.5%
295332	1	0.5%
295349	3	1.5%
295377	1	0.5%
295692	1	0.5%

Value	Count	Frequency (%)
322235	1	0.5%
321219	1	0.5%
321068	1	0.5%
321033	1	0.5%
320944	1	0.5%
320907	1	0.5%
320884	2	1.0%
320651	1	0.5%
318812	7	3.5%
317833	1	0.5%

551389
Real number (ℝ)

HIGH CORRELATION

Distinct	143
Distinct (%)	71.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	548615.11

Minimum	540897
Maximum	560381
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	540897
5-th percentile	543209.1
Q1	544756.5
median	549921
Q3	551923.5
95-th percentile	553369.8
Maximum	560381
Range	19484
Interquartile range (IQR)	7167

Descriptive statistics

Standard deviation	4072.5972
Coefficient of variation (CV)	0.0074234143
Kurtosis	-0.71811748
Mean	548615.11
Median Absolute Deviation (MAD)	2804
Skewness	0.12345661
Sum	1.0917441 × 10⁸
Variance	16586048
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
543972	7	3.5%
545053	4	2.0%
544371	3	1.5%
551493	3	1.5%
551549	3	1.5%
544512	3	1.5%
552317	3	1.5%
557081	3	1.5%
545304	3	1.5%
545378	3	1.5%
Other values (133)	164	82.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
540897	1	0.5%
541273	1	0.5%
541738	1	0.5%
541740	1	0.5%
541747	1	0.5%
541779	1	0.5%
541791	1	0.5%
542105	1	0.5%
543111	2	1.0%
543220	1	0.5%

Value	Count	Frequency (%)
560381	1	0.5%
559966	1	0.5%
559544	1	0.5%
557081	3	1.5%
553554	1	0.5%
553542	1	0.5%
553449	2	1.0%
553361	1	0.5%
553355	1	0.5%
552734	1	0.5%

282919
Real number (ℝ)

Distinct	113
Distinct (%)	56.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	253285.2

Minimum	11636
Maximum	518566
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	11636
5-th percentile	14605.8
Q1	31038.5
median	281000
Q3	414054.5
95-th percentile	414675.8
Maximum	518566
Range	506930
Interquartile range (IQR)	383016

Descriptive statistics

Standard deviation	163816.44
Coefficient of variation (CV)	0.64676672
Kurtosis	-1.3090624
Mean	253285.2
Median Absolute Deviation (MAD)	133237
Skewness	-0.46579174
Sum	50403755
Variance	2.6835826 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
414237	14	7.0%
414546	10	5.0%
414023	8	4.0%
281000	7	3.5%
414556	6	3.0%
16949	5	2.5%
275824	5	2.5%
350529	3	1.5%
355774	3	1.5%
269784	3	1.5%
Other values (103)	135	67.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11636	2	1.0%
13765	1	0.5%
13772	1	0.5%
13776	1	0.5%
13777	1	0.5%
14408	1	0.5%
14417	1	0.5%
14555	1	0.5%
14604	1	0.5%
14606	2	1.0%

Value	Count	Frequency (%)
518566	2	1.0%
509643	1	0.5%
509640	1	0.5%
501958	1	0.5%
422440	1	0.5%
421898	1	0.5%
421731	1	0.5%
417050	1	0.5%
414800	1	0.5%
414662	1	0.5%

OH01167090
Text

UNIQUE

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

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1990
Distinct characters	12
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	OH00741626
2nd row	OH00755893
3rd row	OH00735114
4th row	OH01165062
5th row	OH00070533

Value	Count	Frequency (%)
oh00741626	1	0.5%
oh00750155	1	0.5%
oh00937744	1	0.5%
oh00245316	1	0.5%
oh00430155	1	0.5%
oh00743526	1	0.5%
oh00761944	1	0.5%
oh00747981	1	0.5%
oh01428948	1	0.5%
oh00749006	1	0.5%
Other values (189)	189	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	456	22.9%
O	199	10.0%
H	199	10.0%
7	178	8.9%
4	174	8.7%
1	148	7.4%
2	131	6.6%
3	120	6.0%
5	118	5.9%
6	98	4.9%
Other values (2)	169	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1592	80.0%
Uppercase Letter	398	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	456	28.6%
7	178	11.2%
4	174	10.9%
1	148	9.3%
2	131	8.2%
3	120	7.5%
5	118	7.4%
6	98	6.2%
8	86	5.4%
9	83	5.2%

Uppercase Letter

Value	Count	Frequency (%)
O	199	50.0%
H	199	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1592	80.0%
Latin	398	20.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	456	28.6%
7	178	11.2%
4	174	10.9%
1	148	9.3%
2	131	8.2%
3	120	7.5%
5	118	7.4%
6	98	6.2%
8	86	5.4%
9	83	5.2%

Latin

Value	Count	Frequency (%)
O	199	50.0%
H	199	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	456	22.9%
O	199	10.0%
H	199	10.0%
7	178	8.9%
4	174	8.7%
1	148	7.4%
2	131	6.6%
3	120	6.0%
5	118	5.9%
6	98	4.9%
Other values (2)	169	8.5%

강변샤르망3단지302동
Text

Distinct	145
Distinct (%)	72.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	23
Median length	14
Mean length	7.8693467
Min length	3

Characters and Unicode

Total characters	1566
Distinct characters	236
Distinct categories	8 ?
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	111 ?
Unique (%)	55.8%

Sample

1st row	대우디오빌플러스
2nd row	한보미도종합상가
3rd row	테헤란로오피스텔
4th row	염창투웨니퍼스트
5th row	우성르보아투

Value	Count	Frequency (%)
대청타워	7	3.5%
성지하이츠1	4	2.0%
은마상가에이동	3	1.5%
대우디오빌플러스	3	1.5%
신안메트로칸	3	1.5%
신일유토빌	3	1.5%
마곡역센트럴푸르지오시티	3	1.5%
트레지오	3	1.5%
마곡파크뷰대방디엠시티오피스텔	3	1.5%
힐스테이트에코동익	3	1.5%
Other values (135)	164	82.4%

Most occurring characters

Value	Count	Frequency (%)
스	91	5.8%
오	55	3.5%
이	44	2.8%
텔	40	2.6%
트	37	2.4%
피	37	2.4%
지	34	2.2%
동	33	2.1%
마	33	2.1%
타	32	2.0%
Other values (226)	1130	72.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1442	92.1%
Decimal Number	65	4.2%
Uppercase Letter	36	2.3%
Open Punctuation	5	0.3%
Close Punctuation	5	0.3%
Dash Punctuation	5	0.3%
Letter Number	5	0.3%
Lowercase Letter	3	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
스	91	6.3%
오	55	3.8%
이	44	3.1%
텔	40	2.8%
트	37	2.6%
피	37	2.6%
지	34	2.4%
동	33	2.3%
마	33	2.3%
타	32	2.2%
Other values (193)	1006	69.8%

Uppercase Letter

Value	Count	Frequency (%)
B	6	16.7%
I	6	16.7%
L	3	8.3%
R	3	8.3%
C	3	8.3%
G	3	8.3%
V	2	5.6%
E	1	2.8%
S	1	2.8%
A	1	2.8%
Other values (7)	7	19.4%

Decimal Number

Value	Count	Frequency (%)
1	25	38.5%
2	18	27.7%
0	8	12.3%
7	3	4.6%
6	3	4.6%
4	3	4.6%
8	2	3.1%
3	2	3.1%
9	1	1.5%

Letter Number

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

Lowercase Letter

Value	Count	Frequency (%)
l	2	66.7%
i	1	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1442	92.1%
Common	80	5.1%
Latin	44	2.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
스	91	6.3%
오	55	3.8%
이	44	3.1%
텔	40	2.8%
트	37	2.6%
피	37	2.6%
지	34	2.4%
동	33	2.3%
마	33	2.3%
타	32	2.2%
Other values (193)	1006	69.8%

Latin

Value	Count	Frequency (%)
B	6	13.6%
I	6	13.6%
Ⅰ	4	9.1%
L	3	6.8%
R	3	6.8%
C	3	6.8%
G	3	6.8%
l	2	4.5%
V	2	4.5%
E	1	2.3%
Other values (11)	11	25.0%

Common

Value	Count	Frequency (%)
1	25	31.2%
2	18	22.5%
0	8	10.0%
(	5	6.2%
)	5	6.2%
-	5	6.2%
7	3	3.8%
6	3	3.8%
4	3	3.8%
8	2	2.5%
Other values (2)	3	3.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1442	92.1%
ASCII	119	7.6%
Number Forms	5	0.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
스	91	6.3%
오	55	3.8%
이	44	3.1%
텔	40	2.8%
트	37	2.6%
피	37	2.6%
지	34	2.4%
동	33	2.3%
마	33	2.3%
타	32	2.2%
Other values (193)	1006	69.8%

ASCII

Value	Count	Frequency (%)
1	25	21.0%
2	18	15.1%
0	8	6.7%
B	6	5.0%
I	6	5.0%
(	5	4.2%
)	5	4.2%
-	5	4.2%
7	3	2.5%
L	3	2.5%
Other values (21)	35	29.4%

Number Forms

Value	Count	Frequency (%)
Ⅰ	4	80.0%
Ⅱ	1	20.0%

302동
Categorical

HIGH CORRELATION IMBALANCE

Distinct	15
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

동명없음	154
-	27
B	3
에이동	3
지동	2
Other values (10)	10

Length

Max length	7
Median length	4
Mean length	3.4974874
Min length	1

Unique

Unique	10 ?
Unique (%)	5.0%

Sample

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

Common Values

Value	Count	Frequency (%)
동명없음	154	77.4%
-	27	13.6%
B	3	1.5%
에이동	3	1.5%
지동	2	1.0%
디동	1	0.5%
662	1	0.5%
266-8	1	0.5%
없음	1	0.5%
655	1	0.5%
Other values (5)	5	2.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
동명없음	154	77.4%
	27	13.6%
b	3	1.5%
에이동	3	1.5%
지동	2	1.0%
디동	1	0.5%
662	1	0.5%
266-8	1	0.5%
없음	1	0.5%
655	1	0.5%
Other values (5)	5	2.5%

303
Text

Distinct	167
Distinct (%)	83.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	8
Median length	3
Mean length	3.6231156
Min length	1

Characters and Unicode

Total characters	721
Distinct characters	23
Distinct categories	4 ?
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	144 ?
Unique (%)	72.4%

Sample

1st row	1519
2nd row	130
3rd row	408
4th row	401
5th row	1011

Value	Count	Frequency (%)
904	4	2.0%
301	4	2.0%
502	4	2.0%
401	3	1.5%
1011	3	1.5%
402	3	1.5%
111	2	1.0%
304	2	1.0%
1	2	1.0%
1003	2	1.0%
Other values (157)	170	85.4%

Most occurring characters

Value	Count	Frequency (%)
1	173	24.0%
0	134	18.6%
2	76	10.5%
3	58	8.0%
4	52	7.2%
5	39	5.4%
8	35	4.9%
6	33	4.6%
7	29	4.0%
9	26	3.6%
Other values (13)	66	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	655	90.8%
Other Letter	29	4.0%
Uppercase Letter	19	2.6%
Dash Punctuation	18	2.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	173	26.4%
0	134	20.5%
2	76	11.6%
3	58	8.9%
4	52	7.9%
5	39	6.0%
8	35	5.3%
6	33	5.0%
7	29	4.4%
9	26	4.0%

Other Letter

Value	Count	Frequency (%)
호	13	44.8%
에	4	13.8%
층	4	13.8%
이	4	13.8%
관	2	6.9%
서	1	3.4%
동	1	3.4%

Uppercase Letter

Value	Count	Frequency (%)
B	9	47.4%
O	4	21.1%
A	4	21.1%
C	1	5.3%
H	1	5.3%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	673	93.3%
Hangul	29	4.0%
Latin	19	2.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	173	25.7%
0	134	19.9%
2	76	11.3%
3	58	8.6%
4	52	7.7%
5	39	5.8%
8	35	5.2%
6	33	4.9%
7	29	4.3%
9	26	3.9%

Hangul

Value	Count	Frequency (%)
호	13	44.8%
에	4	13.8%
층	4	13.8%
이	4	13.8%
관	2	6.9%
서	1	3.4%
동	1	3.4%

Latin

Value	Count	Frequency (%)
B	9	47.4%
O	4	21.1%
A	4	21.1%
C	1	5.3%
H	1	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	692	96.0%
Hangul	29	4.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	173	25.0%
0	134	19.4%
2	76	11.0%
3	58	8.4%
4	52	7.5%
5	39	5.6%
8	35	5.1%
6	33	4.8%
7	29	4.2%
9	26	3.8%
Other values (6)	37	5.3%

Hangul

Value	Count	Frequency (%)
호	13	44.8%
에	4	13.8%
층	4	13.8%
이	4	13.8%
관	2	6.9%
서	1	3.4%
동	1	3.4%

지상층3
Categorical

Distinct	24
Distinct (%)	12.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

지상층3	24
지상층4	19
지상층1	18
지상층5	14
지상층9	13
Other values (19)	111

Length

Max length	5
Median length	4
Mean length	4.281407
Min length	4

Unique

Unique	5 ?
Unique (%)	2.5%

Sample

1st row	지상층15
2nd row	지상층1
3rd row	지상층4
4th row	지상층4
5th row	지상층10

Common Values

Value	Count	Frequency (%)
지상층3	24	12.1%
지상층4	19	9.5%
지상층1	18	9.0%
지상층5	14	7.0%
지상층9	13	6.5%
지상층6	12	6.0%
지상층2	12	6.0%
지상층8	11	5.5%
지상층10	11	5.5%
지상층7	10	5.0%
Other values (14)	55	27.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
지상층3	24	12.1%
지상층4	19	9.5%
지상층1	18	9.0%
지상층5	14	7.0%
지상층9	13	6.5%
지상층6	12	6.0%
지상층2	12	6.0%
지상층8	11	5.5%
지상층10	11	5.5%
지상층7	10	5.0%
Other values (14)	55	27.6%

100.33
Real number (ℝ)

Distinct	180
Distinct (%)	90.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.068809

Minimum	11.85
Maximum	1301.87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	11.85
5-th percentile	24.587
Q1	44.355
median	55.42
Q3	73.71
95-th percentile	229.8879
Maximum	1301.87
Range	1290.02
Interquartile range (IQR)	29.355

Descriptive statistics

Standard deviation	114.21248
Coefficient of variation (CV)	1.3916674
Kurtosis	68.477388
Mean	82.068809
Median Absolute Deviation (MAD)	13.12
Skewness	7.2233672
Sum	16331.693
Variance	13044.492
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55.201	4	2.0%
68.54	3	1.5%
60.43	3	1.5%
67.44	2	1.0%
58.608	2	1.0%
55.36	2	1.0%
52.54	2	1.0%
52.95	2	1.0%
66.702	2	1.0%
27.81	2	1.0%
Other values (170)	175	87.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11.85	1	0.5%
13.39	1	0.5%
13.46	1	0.5%
13.78	1	0.5%
14.4	1	0.5%
19.14	1	0.5%
21.52	1	0.5%
22.23	1	0.5%
22.26	1	0.5%
22.85	1	0.5%

Value	Count	Frequency (%)
1301.87	1	0.5%
608.09	1	0.5%
470.17	1	0.5%
385.44	1	0.5%
372.107	1	0.5%
316.379	1	0.5%
294.41	1	0.5%
260.16	1	0.5%
253.93	1	0.5%
243.828	1	0.5%

2367000
Real number (ℝ)

HIGH CORRELATION

Distinct	177
Distinct (%)	88.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3478050.3

Minimum	798000
Maximum	24780000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	798000
5-th percentile	1459300
Q1	2233500
median	2696000
Q3	3536500
95-th percentile	9645300
Maximum	24780000
Range	23982000
Interquartile range (IQR)	1303000

Descriptive statistics

Standard deviation	2972393
Coefficient of variation (CV)	0.85461473
Kurtosis	21.918684
Mean	3478050.3
Median Absolute Deviation (MAD)	606000
Skewness	4.1785956
Sum	6.92132 × 10⁸
Variance	8.83512 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2921000	4	2.0%
2186000	4	2.0%
2314000	3	1.5%
2851000	3	1.5%
2201000	2	1.0%
3601000	2	1.0%
1676000	2	1.0%
1716000	2	1.0%
2712000	2	1.0%
2932000	2	1.0%
Other values (167)	173	86.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
798000	1	0.5%
980000	1	0.5%
1116000	1	0.5%
1229000	1	0.5%
1244000	1	0.5%
1274000	1	0.5%
1277000	1	0.5%
1295000	1	0.5%
1343000	1	0.5%
1354000	1	0.5%

Value	Count	Frequency (%)
24780000	1	0.5%
21414000	1	0.5%
17139000	1	0.5%
13341000	1	0.5%
12117000	1	0.5%
11129000	1	0.5%
10421000	1	0.5%
10216000	1	0.5%
9814000	1	0.5%
9729000	1	0.5%

20210101
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

20210101	199

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210101
2nd row	20210101
3rd row	20210101
4th row	20210101
5th row	20210101

Common Values

Value	Count	Frequency (%)
20210101	199	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210101	199	100.0%

Heatmap
Table

	1150010200006280017	1150010200106280017027305	299176	551389	282919	302동	지상층3	100.33	2367000
1150010200006280017	1.000	1.000	0.940	0.968	0.784	0.392	0.243	0.125	0.482
1150010200106280017027305	1.000	1.000	0.940	0.968	0.784	0.392	0.243	0.125	0.482
299176	0.940	0.940	1.000	0.835	0.778	0.675	0.347	0.000	0.405
551389	0.968	0.968	0.835	1.000	0.803	0.506	0.000	0.000	0.400
282919	0.784	0.784	0.778	0.803	1.000	0.509	0.560	0.000	0.000
302동	0.392	0.392	0.675	0.506	0.509	1.000	0.000	0.443	0.721
지상층3	0.243	0.243	0.347	0.000	0.560	0.000	1.000	0.398	0.000
100.33	0.125	0.125	0.000	0.000	0.000	0.443	0.398	1.000	0.000
2367000	0.482	0.482	0.405	0.400	0.000	0.721	0.000	0.000	1.000

Heatmap
Table

	302동	지상층3
302동	1.000	0.000
지상층3	0.000	1.000

Heatmap
Table

	1150010200006280017	1150010200106280017027305	299176	551389	282919	100.33	2367000	302동	지상층3
1150010200006280017	1.000	0.999	0.636	-0.704	0.044	0.239	0.517	0.196	0.021
1150010200106280017027305	0.999	1.000	0.634	-0.701	0.042	0.242	0.519	0.542	0.000
299176	0.636	0.634	1.000	-0.822	-0.191	0.073	0.413	0.383	0.136
551389	-0.704	-0.701	-0.822	1.000	0.082	-0.173	-0.421	0.219	0.000
282919	0.044	0.042	-0.191	0.082	1.000	0.180	-0.022	0.241	0.221
100.33	0.239	0.242	0.073	-0.173	0.180	1.000	0.101	0.218	0.161
2367000	0.517	0.519	0.413	-0.421	-0.022	0.101	1.000	0.388	0.000
302동	0.196	0.542	0.383	0.219	0.241	0.218	0.388	1.000	0.000
지상층3	0.021	0.000	0.136	0.000	0.221	0.161	0.000	0.000	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

	OI00019952	OD10019952	1150010200006280017	1150010200106280017027305	서울특별시 강서구 등촌동 628-17번지 강변샤르망3단지302동 302동동 303호	서울특별시 강서구 공항대로45길 95 강변샤르망3단지302동 302동동 303호	299176	551389	282919	OH01167090	강변샤르망3단지302동	302동	303	지상층3	100.33	2367000	20210101
0	OI00003919	OD10003919	1168010100008240025	1168010100108240025000001	서울특별시 강남구 역삼동 824-25번지 대우디오빌플러스 1519호	서울특별시 강남구 강남대로84길 33 대우디오빌플러스 1519호	314522	544371	350529	OH00741626	대우디오빌플러스	동명없음	1519	지상층15	54.02	3528000	20210101
1	OI00001176	OD10001176	1168010600005110000	1168010600105110000014289	서울특별시 강남구 대치동 511번지 한보미도종합상가 130호	서울특별시 강남구 삼성로 150 한보미도종합상가 130호	317833	544132	273304	OH00755893	한보미도종합상가	동명없음	130	지상층1	28.09	24780000	20210101
2	OI00001130	OD10001130	1168010100007070038	1168010100107070038022914	서울특별시 강남구 역삼동 707-38번지 테헤란로오피스텔 408호	서울특별시 강남구 테헤란로52길 6 테헤란로오피스텔 408호	315945	544985	358768	OH00735114	테헤란로오피스텔	동명없음	408	지상층4	48.75	2286000	20210101
3	OI00054603	OD10054603	1150010100002620000	1150010100102620000000001	서울특별시 강서구 염창동 262번지 염창투웨니퍼스트 401호	서울특별시 강서구 공항대로81길 35 염창투웨니퍼스트 401호	300888	550208	14855	OH01165062	염창투웨니퍼스트	동명없음	401	지상층4	40.1	4967000	20210101
4	OI00037017	OD10037017	1150010500007390002	1150010500107390002000001	서울특별시 강서구 마곡동 739-2번지 우성르보아투 -동 1011호	서울특별시 강서구 마곡중앙5로 87 우성르보아투 -동 1011호	295756	552314	414161	OH00070533	우성르보아투	-	1011	지상층10	50.5	2065000	20210101
5	OI00001149	OD10001149	1168010300000130003	1168010300100130003019067	서울특별시 강남구 개포동 13-3번지 대청타워 2509호	서울특별시 강남구 개포로 623 대청타워 2509호	318812	543972	281000	OH00748549	대청타워	동명없음	2509	지상층25	55.201	2921000	20210101
6	OI00038433	OD10038433	1150010500007760004	1150010500107760004000001	서울특별시 강서구 마곡동 776-4번지 엠코지니어스타 -동 624호	서울특별시 강서구 강서로 471 엠코지니어스타 -동 624호	297771	552319	414023	OH00247497	엠코지니어스타	-	624	지상층6	50.96	2597000	20210101
7	OI00046040	OD10046040	1168010100006480001	1168010100106480001023753	서울특별시 강남구 역삼동 648-1번지 강남IBC오피스텔 305호	서울특별시 강남구 테헤란로7길 8 강남IBC오피스텔 305호	314527	544620	277650	OH00731665	강남IBC오피스텔	동명없음	305	지상층3	55.56	4546000	20210101
8	OI00043196	OD10043196	1150010500007570000	1150010500107570000000001	서울특별시 강서구 마곡동 757번지 두산더랜드파크 OC-906호	서울특별시 강서구 마곡중앙로 161-8 두산더랜드파크 OC-906호	296599	552498	414237	OH00071738	두산더랜드파크	동명없음	OC-906	지상층9	121.97	2186000	20210101
9	OI00043391	OD10043391	1168010100007110003	1168010100107110000000002	서울특별시 강남구 역삼동 711-3번지 역삼자이 108호	서울특별시 강남구 언주로 420 역삼자이 108호	315724	544570	250425	OH00736100	역삼자이	동명없음	108	지상층1	35.662	7389000	20210101

	OI00019952	OD10019952	1150010200006280017	1150010200106280017027305	서울특별시 강서구 등촌동 628-17번지 강변샤르망3단지302동 302동동 303호	서울특별시 강서구 공항대로45길 95 강변샤르망3단지302동 302동동 303호	299176	551389	282919	OH01167090	강변샤르망3단지302동	302동	303	지상층3	100.33	2367000	20210101
189	OI00032822	OD10032822	1150010300009250003	1150010300109250003024929	서울특별시 강서구 화곡동 925-3번지 SRVill 301호	서울특별시 강서구 곰달래로20길 14 SRVill 301호	297906	548118	417050	OH01422891	SRVill	동명없음	301	지상층3	30.04	2134000	20210101
190	OI00003950	OD10003950	1168010600008910026	1168010600108910026027149	서울특별시 강남구 대치동 891-26번지 대우아이빌멤버스 413호	서울특별시 강남구 삼성로85길 42 대우아이빌멤버스 413호	316538	545128	273363	OH00758716	대우아이빌멤버스	동명없음	413	지상층4	63.988	3302000	20210101
191	OI00036139	OD10036139	1150010900006120171	1150010900106120171002526	서울특별시 강서구 방화동 612-171번지 진팰리스 304호	서울특별시 강서구 방화동로1길 50 진팰리스 304호	294834	551960	13772	OH00433152	진팰리스	동명없음	304	지상층3	25.31	2361000	20210101
192	OI00045062	OD10045062	1168010100008320016	1168010100108320016000001	서울특별시 강남구 역삼동 832-16번지 BIEL106 -동 1121호	서울특별시 강남구 역삼로 106 BIEL106 -동 1121호	314502	543861	358243	OH00744771	BIEL106	-	1121	지상층11	61.544	4939000	20210101
193	OI00032825	OD10032825	1150010300011610000	1150010300111100002014777	서울특별시 강서구 화곡동 1161번지 강서동도센트리움 921호	서울특별시 강서구 공항대로46길 28 강서동도센트리움 921호	298842	550894	15466	OH01426682	강서동도센트리움	동명없음	921	지상층9	40.123	1981000	20210101
194	OI00038433	OD10038433	1150010500007760004	1150010500107760004000001	서울특별시 강서구 마곡동 776-4번지 엠코지니어스타 -동 306호	서울특별시 강서구 강서로 471 엠코지니어스타 -동 306호	297771	552319	414023	OH00247344	엠코지니어스타	-	306	지상층3	52.95	2518000	20210101
195	OI00023371	OD10023371	1168010800002410001	1168010800102410001000001	서울특별시 강남구 논현동 241-1번지 강남파라곤 B304호	서울특별시 강남구 학동로 338 강남파라곤 B304호	315345	546471	31557	OH00935900	강남파라곤	동명없음	B304	지상층3	142.29	3780000	20210101
196	OI00043229	OD10043229	1150010300001110084	1150010300101110084018823	서울특별시 강서구 화곡동 111-84번지 킹덤그레이스102동 102동 201호	서울특별시 강서구 화곡로 219 킹덤그레이스102동 102동 201호	298044	549830	17522	OH01421184	킹덤그레이스102동	102	201	지상층2	66.32	2439000	20210101
197	OI00039166	OD10039166	1150010500007840004	1150010500107840004000001	서울특별시 강서구 마곡동 784-4번지 미르웰플러스오피스텔 -동 B709호호	서울특별시 강서구 강서로 447 미르웰플러스오피스텔 -동 B709호호	297721	552105	413906	OH00248535	미르웰플러스오피스텔	-	B709호	지상층7	47.89	2233000	20210101
198	OI00003919	OD10003919	1168010100008240025	1168010100108240025000001	서울특별시 강남구 역삼동 824-25번지 대우디오빌플러스 627호	서울특별시 강남구 강남대로84길 33 대우디오빌플러스 627호	314522	544371	350529	OH00741321	대우디오빌플러스	동명없음	627	지상층6	59.86	3315000	20210101

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

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

Letter Number

Lowercase Letter

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Number Forms

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Letter Number

Lowercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Number Forms

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