gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	10000
Missing cells	452
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	169.0 B

Variable types

Text	5
Numeric	7
Categorical	7

Dataset

Description	순천시 지역 창업 생태계 데이터를 구축하여 지역기반 스타트업을 활성화하고자 순천시 주거공간 데이터를 제공합니다.
Author	전라남도 순천시
URL	https://www.data.go.kr/data/15111424/fileData.do

Alerts

`시도명` has constant value ""	Constant
`시군구명` has constant value ""	Constant
`리명` is highly overall correlated with `법정동코드` and 6 other fields	High correlation
`단지구분` is highly overall correlated with `리명` and 1 other fields	High correlation
`특수지코드` is highly overall correlated with `부번` and 2 other fields	High correlation
`특수지명` is highly overall correlated with `법정동코드` and 7 other fields	High correlation
`읍면동명` is highly overall correlated with `법정동코드` and 3 other fields	High correlation
`법정동코드` is highly overall correlated with `읍면동명` and 2 other fields	High correlation
`본번` is highly overall correlated with `읍면동명` and 2 other fields	High correlation
`부번` is highly overall correlated with `리명` and 2 other fields	High correlation
`공동주택전유면적` is highly overall correlated with `공시가격` and 1 other fields	High correlation
`공시가격` is highly overall correlated with `공동주택전유면적` and 1 other fields	High correlation
`단지코드` is highly overall correlated with `공시가격` and 2 other fields	High correlation
`리명` is highly imbalanced (62.3%)	Imbalance
`단지구분` is highly imbalanced (80.9%)	Imbalance
`특수지코드` is highly imbalanced (92.7%)	Imbalance
`특수지명` is highly imbalanced (94.5%)	Imbalance
`동명칭` has 452 (4.5%) missing values	Missing
`관리번호` has unique values	Unique
`부번` has 7775 (77.8%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 17:17:44.124326
Analysis finished	2023-12-12 17:17:53.513058
Duration	9.39 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

관리번호
Text

UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	160000
Distinct characters	14
Distinct categories	3 ?
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	10000 ?
Unique (%)	100.0%

Sample

1st row	REQ-003-05-20474
2nd row	REQ-003-05-02263
3rd row	REQ-003-05-29563
4th row	REQ-003-05-23849
5th row	REQ-003-05-46251

Value	Count	Frequency (%)
req-003-05-20474	1	< 0.1%
req-003-05-31144	1	< 0.1%
req-003-05-16118	1	< 0.1%
req-003-05-33356	1	< 0.1%
req-003-05-54003	1	< 0.1%
req-003-05-09149	1	< 0.1%
req-003-05-37672	1	< 0.1%
req-003-05-22232	1	< 0.1%
req-003-05-10405	1	< 0.1%
req-003-05-42331	1	< 0.1%
Other values (9990)	9990	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	35682	22.3%
-	30000	18.8%
3	15653	9.8%
5	15626	9.8%
R	10000	6.2%
E	10000	6.2%
Q	10000	6.2%
1	5782	3.6%
2	5722	3.6%
4	5548	3.5%
Other values (4)	15987	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	100000	62.5%
Dash Punctuation	30000	18.8%
Uppercase Letter	30000	18.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	35682	35.7%
3	15653	15.7%
5	15626	15.6%
1	5782	5.8%
2	5722	5.7%
4	5548	5.5%
9	4063	4.1%
6	3993	4.0%
7	3971	4.0%
8	3960	4.0%

Uppercase Letter

Value	Count	Frequency (%)
R	10000	33.3%
E	10000	33.3%
Q	10000	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	30000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130000	81.2%
Latin	30000	18.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	35682	27.4%
-	30000	23.1%
3	15653	12.0%
5	15626	12.0%
1	5782	4.4%
2	5722	4.4%
4	5548	4.3%
9	4063	3.1%
6	3993	3.1%
7	3971	3.1%

Latin

Value	Count	Frequency (%)
R	10000	33.3%
E	10000	33.3%
Q	10000	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	35682	22.3%
-	30000	18.8%
3	15653	9.8%
5	15626	9.8%
R	10000	6.2%
E	10000	6.2%
Q	10000	6.2%
1	5782	3.6%
2	5722	3.6%
4	5548	3.5%
Other values (4)	15987	10.0%

법정동코드
Real number (ℝ)

HIGH CORRELATION

Distinct	33
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6150174 × 10⁹

Minimum	4.6150103 × 10⁹
Maximum	4.615039 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	4.6150103 × 10⁹
5-th percentile	4.6150108 × 10⁹
Q1	4.6150114 × 10⁹
median	4.6150132 × 10⁹
Q3	4.615031 × 10⁹
95-th percentile	4.615032 × 10⁹
Maximum	4.615039 × 10⁹
Range	28721
Interquartile range (IQR)	19622

Descriptive statistics

Standard deviation	8660.9972
Coefficient of variation (CV)	1.8766987 × 10^-6
Kurtosis	-1.0336122
Mean	4.6150174 × 10⁹
Median Absolute Deviation (MAD)	1800
Skewness	0.95434386
Sum	4.6150174 × 10¹³
Variance	75012872
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
4615013300	2046	20.5%
4615011400	1431	14.3%
4615031022	1430	14.3%
4615031023	729	7.3%
4615011000	689	6.9%
4615032028	594	5.9%
4615012600	465	4.7%
4615013200	415	4.2%
4615010900	362	3.6%
4615010700	306	3.1%
Other values (23)	1533	15.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4615010300	2	< 0.1%
4615010400	51	0.5%
4615010500	13	0.1%
4615010600	2	< 0.1%
4615010700	306	3.1%
4615010800	268	2.7%
4615010900	362	3.6%
4615011000	689	6.9%
4615011100	118	1.2%
4615011200	228	2.3%

Value	Count	Frequency (%)
4615039021	3	< 0.1%
4615038021	1	< 0.1%
4615035029	1	< 0.1%
4615034022	1	< 0.1%
4615032029	18	0.2%
4615032028	594	5.9%
4615032025	2	< 0.1%
4615031023	729	7.3%
4615031022	1430	14.3%
4615025025	20	0.2%

도로명주소
Text

Distinct	306
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	20
Median length	19
Mean length	16.4445
Min length	14

Characters and Unicode

Total characters	164445
Distinct characters	139
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	50 ?
Unique (%)	0.5%

Sample

1st row	전라남도 순천시 조례1길 60
2nd row	전라남도 순천시 연향1로 62
3rd row	전라남도 순천시 장선배기길 63
4th row	전라남도 순천시 가곡길 30
5th row	전라남도 순천시 봉화2길 119

Value	Count	Frequency (%)
전라남도	10000	25.0%
순천시	10000	25.0%
신대로	770	1.9%
장선배기길	681	1.7%
좌야로	657	1.6%
55	572	1.4%
삼산로	443	1.1%
연향1로	408	1.0%
17	356	0.9%
봉화2길	345	0.9%
Other values (318)	15768	39.4%

Most occurring characters

Value	Count	Frequency (%)
	30000	18.2%
도	10514	6.4%
천	10476	6.4%
남	10179	6.2%
순	10011	6.1%
라	10009	6.1%
전	10006	6.1%
시	10003	6.1%
길	7020	4.3%
1	5706	3.5%
Other values (129)	50521	30.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	106546	64.8%
Space Separator	30000	18.2%
Decimal Number	26731	16.3%
Dash Punctuation	1168	0.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	10514	9.9%
천	10476	9.8%
남	10179	9.6%
순	10011	9.4%
라	10009	9.4%
전	10006	9.4%
시	10003	9.4%
길	7020	6.6%
로	2980	2.8%
산	1037	1.0%
Other values (117)	24311	22.8%

Decimal Number

Value	Count	Frequency (%)
1	5706	21.3%
5	3759	14.1%
2	3396	12.7%
3	2646	9.9%
0	2277	8.5%
9	2239	8.4%
7	2051	7.7%
6	2049	7.7%
4	1545	5.8%
8	1063	4.0%

Space Separator

Value	Count	Frequency (%)
	30000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	106546	64.8%
Common	57899	35.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	10514	9.9%
천	10476	9.8%
남	10179	9.6%
순	10011	9.4%
라	10009	9.4%
전	10006	9.4%
시	10003	9.4%
길	7020	6.6%
로	2980	2.8%
산	1037	1.0%
Other values (117)	24311	22.8%

Common

Value	Count	Frequency (%)
	30000	51.8%
1	5706	9.9%
5	3759	6.5%
2	3396	5.9%
3	2646	4.6%
0	2277	3.9%
9	2239	3.9%
7	2051	3.5%
6	2049	3.5%
4	1545	2.7%
Other values (2)	2231	3.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	106546	64.8%
ASCII	57899	35.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	30000	51.8%
1	5706	9.9%
5	3759	6.5%
2	3396	5.9%
3	2646	4.6%
0	2277	3.9%
9	2239	3.9%
7	2051	3.5%
6	2049	3.5%
4	1545	2.7%
Other values (2)	2231	3.9%

Hangul

Value	Count	Frequency (%)
도	10514	9.9%
천	10476	9.8%
남	10179	9.6%
순	10011	9.4%
라	10009	9.4%
전	10006	9.4%
시	10003	9.4%
길	7020	6.6%
로	2980	2.8%
산	1037	1.0%
Other values (117)	24311	22.8%

시도명
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

전라남도	10000

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
전라남도	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
전라남도	10000	100.0%

시군구명
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

순천시	10000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
순천시	10000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
순천시	10000	100.0%

읍면동명
Categorical

HIGH CORRELATION

Distinct	30
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

해룡면	2159
조례동	2046
연향동	1431
용당동	689
서면	614
Other values (25)	3061

Length

Max length	3
Median length	3
Mean length	2.9371
Min length	2

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	조례동
2nd row	연향동
3rd row	조례동
4th row	가곡동
5th row	조례동

Common Values

Value	Count	Frequency (%)
해룡면	2159	21.6%
조례동	2046	20.5%
연향동	1431	14.3%
용당동	689	6.9%
서면	614	6.1%
오천동	465	4.7%
왕지동	415	4.2%
가곡동	362	3.6%
매곡동	306	3.1%
풍덕동	274	2.7%
Other values (20)	1239	12.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
해룡면	2159	21.6%
조례동	2046	20.5%
연향동	1431	14.3%
용당동	689	6.9%
서면	614	6.1%
오천동	465	4.7%
왕지동	415	4.2%
가곡동	362	3.6%
매곡동	306	3.1%
풍덕동	274	2.7%
Other values (20)	1239	12.4%

리명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	7201
신대리	1430
상삼리	729
선평리	594
평중리	20
Other values (6)	26

Length

Max length	4
Median length	4
Mean length	3.7201
Min length	3

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	7201	72.0%
신대리	1430	14.3%
상삼리	729	7.3%
선평리	594	5.9%
평중리	20	0.2%
압곡리	18	0.2%
봉림리	3	< 0.1%
동산리	2	< 0.1%
농선리	1	< 0.1%
동내리	1	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	7201	72.0%
신대리	1430	14.3%
상삼리	729	7.3%
선평리	594	5.9%
평중리	20	0.2%
압곡리	18	0.2%
봉림리	3	< 0.1%
동산리	2	< 0.1%
농선리	1	< 0.1%
동내리	1	< 0.1%

단지구분
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	9563
3	226
5	211

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	9563	95.6%
3	226	2.3%
5	211	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	9563	95.6%
3	226	2.3%
5	211	2.1%

특수지코드
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

0	9911
6	89

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9911	99.1%
6	89	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	9911	99.1%
6	89	0.9%

본번
Real number (ℝ)

HIGH CORRELATION

Distinct	241
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1097.2652

Minimum	1
Maximum	2140
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	59
Q1	653
median	1022
Q3	1658
95-th percentile	2003
Maximum	2140
Range	2139
Interquartile range (IQR)	1005

Descriptive statistics

Standard deviation	624.32596
Coefficient of variation (CV)	0.56898365
Kurtosis	-1.1922423
Mean	1097.2652
Median Absolute Deviation (MAD)	585
Skewness	-0.055799132
Sum	10972652
Variance	389782.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2003	280	2.8%
1965	262	2.6%
1384	238	2.4%
891	226	2.3%
1658	199	2.0%
1386	197	2.0%
2039	192	1.9%
843	189	1.9%
1087	164	1.6%
191	158	1.6%
Other values (231)	7895	79.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	55	0.5%
2	8	0.1%
6	13	0.1%
7	46	0.5%
15	89	0.9%
18	2	< 0.1%
22	1	< 0.1%
25	5	0.1%
27	1	< 0.1%
28	88	0.9%

Value	Count	Frequency (%)
2140	3	< 0.1%
2103	139	1.4%
2039	192	1.9%
2004	141	1.4%
2003	280	2.8%
1970	78	0.8%
1969	157	1.6%
1968	112	1.1%
1965	262	2.6%
1964	66	0.7%

부번
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	34
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.6365

Minimum	0
Maximum	70
Zeros	7775
Zeros (%)	77.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	7
Maximum	70
Range	70
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.7800711
Coefficient of variation (CV)	4.1430316
Kurtosis	48.182556
Mean	1.6365
Median Absolute Deviation (MAD)	0
Skewness	6.6247821
Sum	16365
Variance	45.969365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
0	7775	77.8%
1	754	7.5%
3	415	4.2%
2	267	2.7%
5	124	1.2%
7	111	1.1%
8	109	1.1%
28	72	0.7%
50	56	0.6%
6	49	0.5%
Other values (24)	268	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7775	77.8%
1	754	7.5%
2	267	2.7%
3	415	4.2%
4	31	0.3%
5	124	1.2%
6	49	0.5%
7	111	1.1%
8	109	1.1%
9	29	0.3%

Value	Count	Frequency (%)
70	5	0.1%
63	1	< 0.1%
61	41	0.4%
60	1	< 0.1%
55	1	< 0.1%
54	2	< 0.1%
51	3	< 0.1%
50	56	0.6%
45	12	0.1%
33	4	< 0.1%

특수지명
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	9898
15블록 8로트	89
1	13

Length

Max length	8
Median length	4
Mean length	4.0317
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	9898	99.0%
15블록 8로트	89	0.9%
1	13	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	9898	98.1%
15블록	89	0.9%
8로트	89	0.9%
1	13	0.1%

단지명
Text

Distinct	305
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	16
Median length	13
Mean length	5.9312
Min length	2

Characters and Unicode

Total characters	59312
Distinct characters	235
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	51 ?
Unique (%)	0.5%

Sample

1st row	남양휴튼
2nd row	부영2
3rd row	중흥파크2
4th row	신영아파트
5th row	대림1

Value	Count	Frequency (%)
중흥에스-클래스5단지	280	2.8%
중흥에듀힐스9단지	262	2.6%
순천두산위브	226	2.3%
대주피오레	218	2.2%
부영1	211	2.1%
주공2	203	2.0%
부영2	197	2.0%
중흥에스-클래스2단지	192	1.9%
현대	191	1.9%
순천왕지동롯데캐슬	189	1.9%
Other values (295)	7831	78.3%

Most occurring characters

Value	Count	Frequency (%)
스	2569	4.3%
지	2342	3.9%
대	1729	2.9%
단	1713	2.9%
에	1698	2.9%
중	1654	2.8%
흥	1621	2.7%
1	1568	2.6%
2	1331	2.2%
주	1328	2.2%
Other values (225)	41759	70.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	52354	88.3%
Decimal Number	5284	8.9%
Dash Punctuation	1132	1.9%
Close Punctuation	186	0.3%
Open Punctuation	186	0.3%
Lowercase Letter	107	0.2%
Uppercase Letter	51	0.1%
Math Symbol	12	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
스	2569	4.9%
지	2342	4.5%
대	1729	3.3%
단	1713	3.3%
에	1698	3.2%
중	1654	3.2%
흥	1621	3.1%
주	1328	2.5%
영	1237	2.4%
파	1217	2.3%
Other values (199)	35246	67.3%

Decimal Number

Value	Count	Frequency (%)
1	1568	29.7%
2	1331	25.2%
5	451	8.5%
3	399	7.6%
9	389	7.4%
6	308	5.8%
8	292	5.5%
7	267	5.1%
4	148	2.8%
0	131	2.5%

Uppercase Letter

Value	Count	Frequency (%)
A	15	29.4%
C	7	13.7%
M	4	7.8%
P	4	7.8%
D	4	7.8%
U	4	7.8%
T	4	7.8%
Y	4	7.8%
S	4	7.8%
B	1	2.0%

Math Symbol

Value	Count	Frequency (%)
~	8	66.7%
+	4	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	1132	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	186	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	186	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	107	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	52354	88.3%
Common	6800	11.5%
Latin	158	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
스	2569	4.9%
지	2342	4.5%
대	1729	3.3%
단	1713	3.3%
에	1698	3.2%
중	1654	3.2%
흥	1621	3.1%
주	1328	2.5%
영	1237	2.4%
파	1217	2.3%
Other values (199)	35246	67.3%

Common

Value	Count	Frequency (%)
1	1568	23.1%
2	1331	19.6%
-	1132	16.6%
5	451	6.6%
3	399	5.9%
9	389	5.7%
6	308	4.5%
8	292	4.3%
7	267	3.9%
)	186	2.7%
Other values (5)	477	7.0%

Latin

Value	Count	Frequency (%)
e	107	67.7%
A	15	9.5%
C	7	4.4%
M	4	2.5%
P	4	2.5%
D	4	2.5%
U	4	2.5%
T	4	2.5%
Y	4	2.5%
S	4	2.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	52354	88.3%
ASCII	6958	11.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
스	2569	4.9%
지	2342	4.5%
대	1729	3.3%
단	1713	3.3%
에	1698	3.2%
중	1654	3.2%
흥	1621	3.1%
주	1328	2.5%
영	1237	2.4%
파	1217	2.3%
Other values (199)	35246	67.3%

ASCII

Value	Count	Frequency (%)
1	1568	22.5%
2	1331	19.1%
-	1132	16.3%
5	451	6.5%
3	399	5.7%
9	389	5.6%
6	308	4.4%
8	292	4.2%
7	267	3.8%
)	186	2.7%
Other values (16)	635	9.1%

공동주택전유면적
Real number (ℝ)

HIGH CORRELATION

Distinct	517
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.616424

Minimum	15.24
Maximum	182.02
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	15.24
5-th percentile	36.63
Q1	59.73
median	77.08
Q3	84.96
95-th percentile	125.29
Maximum	182.02
Range	166.78
Interquartile range (IQR)	25.23

Descriptive statistics

Standard deviation	24.69713
Coefficient of variation (CV)	0.33098785
Kurtosis	2.3040939
Mean	74.616424
Median Absolute Deviation (MAD)	17.08
Skewness	0.8734218
Sum	746164.24
Variance	609.94823
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.0	716	7.2%
84.99	604	6.0%
85.0	374	3.7%
84.95	350	3.5%
84.96	262	2.6%
84.87	243	2.4%
59.71	218	2.2%
49.72	189	1.9%
84.98	181	1.8%
49.77	156	1.6%
Other values (507)	6707	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.24	1	< 0.1%
16.13	1	< 0.1%
16.77	3	< 0.1%
16.89	1	< 0.1%
17.16	2	< 0.1%
17.18	42	0.4%
17.64	1	< 0.1%
17.71	2	< 0.1%
17.75	1	< 0.1%
17.82	5	0.1%

Value	Count	Frequency (%)
182.02	25	0.2%
175.5	16	0.2%
174.23	2	< 0.1%
173.18	1	< 0.1%
172.68	13	0.1%
170.32	10	0.1%
168.96	1	< 0.1%
164.67	2	< 0.1%
161.45	4	< 0.1%
156.59	29	0.3%

공시가격
Real number (ℝ)

HIGH CORRELATION

Distinct	881
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4796846 × 10⁸

Minimum	5390000
Maximum	5.73 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	5390000
5-th percentile	40000000
Q1	63400000
median	1.13 × 10⁸
Q3	2.14 × 10⁸
95-th percentile	3.5 × 10⁸
Maximum	5.73 × 10⁸
Range	5.6761 × 10⁸
Interquartile range (IQR)	1.506 × 10⁸

Descriptive statistics

Standard deviation	1.034939 × 10⁸
Coefficient of variation (CV)	0.69943212
Kurtosis	0.94561686
Mean	1.4796846 × 10⁸
Median Absolute Deviation (MAD)	56500000
Skewness	1.140806
Sum	1.4796846 × 10¹²
Variance	1.0710986 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
282000000	111	1.1%
179000000	104	1.0%
103000000	97	1.0%
229000000	90	0.9%
121000000	89	0.9%
57600000	86	0.9%
61000000	82	0.8%
264000000	81	0.8%
112000000	78	0.8%
135000000	78	0.8%
Other values (871)	9104	91.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5390000	1	< 0.1%
5460000	1	< 0.1%
5510000	3	< 0.1%
5570000	1	< 0.1%
5800000	2	< 0.1%
5810000	1	< 0.1%
5930000	2	< 0.1%
9380000	1	< 0.1%
9870000	1	< 0.1%
9890000	1	< 0.1%

Value	Count	Frequency (%)
573000000	4	< 0.1%
568000000	4	< 0.1%
566000000	13	0.1%
561000000	3	< 0.1%
551000000	2	< 0.1%
535000000	7	0.1%
527000000	1	< 0.1%
526000000	3	< 0.1%
516000000	3	< 0.1%
514000000	1	< 0.1%

단지코드
Real number (ℝ)

HIGH CORRELATION

Distinct	315
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9159267.6

Minimum	12961
Maximum	20428105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	12961
5-th percentile	12979
Q1	13029
median	223539
Q3	20292607
95-th percentile	20408177
Maximum	20428105
Range	20415144
Interquartile range (IQR)	20279578

Descriptive statistics

Standard deviation	9895519.5
Coefficient of variation (CV)	1.0803833
Kurtosis	-1.9323507
Mean	9159267.6
Median Absolute Deviation (MAD)	210563
Skewness	0.19643619
Sum	9.1592676 × 10¹⁰
Variance	9.7921305 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20292607	280	2.8%
20392489	262	2.6%
20135361	226	2.3%
223470	211	2.1%
223471	197	2.0%
20180828	192	1.9%
20123637	189	1.9%
223555	164	1.6%
12976	157	1.6%
20373224	157	1.6%
Other values (305)	7965	79.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12961	2	< 0.1%
12962	4	< 0.1%
12963	34	0.3%
12964	6	0.1%
12965	7	0.1%
12966	5	0.1%
12967	30	0.3%
12968	2	< 0.1%
12969	44	0.4%
12971	5	0.1%

Value	Count	Frequency (%)
20428105	52	0.5%
20427614	70	0.7%
20426894	2	< 0.1%
20423283	80	0.8%
20420364	2	< 0.1%
20417922	1	< 0.1%
20413112	66	0.7%
20412964	5	0.1%
20412238	3	< 0.1%
20411779	143	1.4%

동명칭
Text

MISSING

Distinct	200
Distinct (%)	2.1%
Missing	452
Missing (%)	4.5%
Memory size	156.2 KiB

Length

Max length	9
Median length	3
Mean length	3.1040008
Min length	1

Characters and Unicode

Total characters	29637
Distinct characters	28
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	10 ?
Unique (%)	0.1%

Sample

1st row	108
2nd row	203
3rd row	202
4th row	102
5th row	103

Value	Count	Frequency (%)
101	801	8.4%
102	668	7.0%
103	656	6.9%
105	412	4.3%
104	407	4.3%
106	406	4.3%
107	240	2.5%
108	219	2.3%
1	204	2.1%
203	198	2.1%
Other values (190)	5337	55.9%

Most occurring characters

Value	Count	Frequency (%)
0	8316	28.1%
1	8170	27.6%
2	2976	10.0%
3	1936	6.5%
동	1804	6.1%
5	1408	4.8%
4	1128	3.8%
6	1093	3.7%
7	733	2.5%
8	720	2.4%
Other values (18)	1353	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27070	91.3%
Other Letter	2287	7.7%
Close Punctuation	107	0.4%
Open Punctuation	107	0.4%
Uppercase Letter	66	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	1804	78.9%
파	117	5.1%
트	112	4.9%
아	112	4.9%
가	69	3.0%
나	37	1.6%
다	21	0.9%
레	5	0.2%
스	5	0.2%
제	3	0.1%
Other values (2)	2	0.1%

Decimal Number

Value	Count	Frequency (%)
0	8316	30.7%
1	8170	30.2%
2	2976	11.0%
3	1936	7.2%
5	1408	5.2%
4	1128	4.2%
6	1093	4.0%
7	733	2.7%
8	720	2.7%
9	590	2.2%

Uppercase Letter

Value	Count	Frequency (%)
A	25	37.9%
B	22	33.3%
C	18	27.3%
D	1	1.5%

Close Punctuation

Value	Count	Frequency (%)
)	107	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	107	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	27284	92.1%
Hangul	2287	7.7%
Latin	66	0.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8316	30.5%
1	8170	29.9%
2	2976	10.9%
3	1936	7.1%
5	1408	5.2%
4	1128	4.1%
6	1093	4.0%
7	733	2.7%
8	720	2.6%
9	590	2.2%
Other values (2)	214	0.8%

Hangul

Value	Count	Frequency (%)
동	1804	78.9%
파	117	5.1%
트	112	4.9%
아	112	4.9%
가	69	3.0%
나	37	1.6%
다	21	0.9%
레	5	0.2%
스	5	0.2%
제	3	0.1%
Other values (2)	2	0.1%

Latin

Value	Count	Frequency (%)
A	25	37.9%
B	22	33.3%
C	18	27.3%
D	1	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27350	92.3%
Hangul	2287	7.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8316	30.4%
1	8170	29.9%
2	2976	10.9%
3	1936	7.1%
5	1408	5.1%
4	1128	4.1%
6	1093	4.0%
7	733	2.7%
8	720	2.6%
9	590	2.2%
Other values (6)	280	1.0%

Hangul

Value	Count	Frequency (%)
동	1804	78.9%
파	117	5.1%
트	112	4.9%
아	112	4.9%
가	69	3.0%
나	37	1.6%
다	21	0.9%
레	5	0.2%
스	5	0.2%
제	3	0.1%
Other values (2)	2	0.1%

층번호
Real number (ℝ)

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5416

Minimum	-1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	< 0.1%
Memory size	166.0 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	4
median	8
Q3	12
95-th percentile	19
Maximum	30
Range	31
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.6383374
Coefficient of variation (CV)	0.66010319
Kurtosis	0.60801718
Mean	8.5416
Median Absolute Deviation (MAD)	4
Skewness	0.85272237
Sum	85416
Variance	31.790849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3	808	8.1%
4	746	7.5%
2	738	7.4%
5	706	7.1%
1	646	6.5%
7	622	6.2%
6	614	6.1%
11	575	5.8%
8	567	5.7%
10	564	5.6%
Other values (21)	3414	34.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	1	< 0.1%
1	646	6.5%
2	738	7.4%
3	808	8.1%
4	746	7.5%
5	706	7.1%
6	614	6.1%
7	622	6.2%
8	567	5.7%
9	546	5.5%

Value	Count	Frequency (%)
30	5	0.1%
29	21	0.2%
28	23	0.2%
27	27	0.3%
26	37	0.4%
25	41	0.4%
24	50	0.5%
23	45	0.4%
22	53	0.5%
21	61	0.6%

호명
Text

Distinct	421
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	7
Median length	3
Mean length	3.4071
Min length	1

Characters and Unicode

Total characters	34071
Distinct characters	14
Distinct categories	3 ?
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	131 ?
Unique (%)	1.3%

Sample

1st row	206
2nd row	1313
3rd row	703
4th row	102
5th row	406

Value	Count	Frequency (%)
301	154	1.5%
402	150	1.5%
202	139	1.4%
502	136	1.4%
201	134	1.3%
302	132	1.3%
401	131	1.3%
303	130	1.3%
101	130	1.3%
203	130	1.3%
Other values (413)	8646	86.4%

Most occurring characters

Value	Count	Frequency (%)
0	10375	30.5%
1	7220	21.2%
2	3703	10.9%
3	3150	9.2%
4	2394	7.0%
5	2341	6.9%
6	1621	4.8%
7	1285	3.8%
8	1072	3.1%
9	873	2.6%
Other values (4)	37	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34034	99.9%
Other Letter	25	0.1%
Space Separator	12	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10375	30.5%
1	7220	21.2%
2	3703	10.9%
3	3150	9.3%
4	2394	7.0%
5	2341	6.9%
6	1621	4.8%
7	1285	3.8%
8	1072	3.1%
9	873	2.6%

Other Letter

Value	Count	Frequency (%)
월	12	48.0%
일	12	48.0%
마	1	4.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	34046	99.9%
Hangul	25	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10375	30.5%
1	7220	21.2%
2	3703	10.9%
3	3150	9.3%
4	2394	7.0%
5	2341	6.9%
6	1621	4.8%
7	1285	3.8%
8	1072	3.1%
9	873	2.6%

Hangul

Value	Count	Frequency (%)
월	12	48.0%
일	12	48.0%
마	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34046	99.9%
Hangul	25	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10375	30.5%
1	7220	21.2%
2	3703	10.9%
3	3150	9.3%
4	2394	7.0%
5	2341	6.9%
6	1621	4.8%
7	1285	3.8%
8	1072	3.1%
9	873	2.6%

Hangul

Value	Count	Frequency (%)
월	12	48.0%
일	12	48.0%
마	1	4.0%

Heatmap
Table

	법정동코드	읍면동명	리명	단지구분	특수지코드	본번	부번	특수지명	공동주택전유면적	공시가격	단지코드	층번호
법정동코드	1.000	1.000	1.000	0.532	0.135	0.689	0.269	0.895	0.244	0.327	0.365	0.256
읍면동명	1.000	1.000	1.000	0.664	0.606	0.942	0.819	1.000	0.663	0.709	0.676	0.411
리명	1.000	1.000	1.000	0.938	NaN	0.880	0.891	NaN	0.517	0.721	0.906	0.481
단지구분	0.532	0.664	0.938	1.000	0.009	0.266	0.561	0.956	0.484	0.283	0.412	0.305
특수지코드	0.135	0.606	NaN	0.009	1.000	0.356	0.542	0.998	0.415	0.144	0.162	0.038
본번	0.689	0.942	0.880	0.266	0.356	1.000	0.358	0.498	0.521	0.656	0.578	0.474
부번	0.269	0.819	0.891	0.561	0.542	0.358	1.000	0.895	0.243	0.215	0.247	0.097
특수지명	0.895	1.000	NaN	0.956	0.998	0.498	0.895	1.000	1.000	0.253	NaN	0.525
공동주택전유면적	0.244	0.663	0.517	0.484	0.415	0.521	0.243	1.000	1.000	0.827	0.365	0.231
공시가격	0.327	0.709	0.721	0.283	0.144	0.656	0.215	0.253	0.827	1.000	0.669	0.421
단지코드	0.365	0.676	0.906	0.412	0.162	0.578	0.247	NaN	0.365	0.669	1.000	0.348
층번호	0.256	0.411	0.481	0.305	0.038	0.474	0.097	0.525	0.231	0.421	0.348	1.000

Heatmap
Table

	리명	단지구분	특수지코드	특수지명	읍면동명
리명	1.000	0.920	1.000	NaN	0.999
단지구분	0.920	1.000	0.015	0.811	0.401
특수지코드	1.000	0.015	1.000	0.955	0.486
특수지명	NaN	0.811	0.955	1.000	0.995
읍면동명	0.999	0.401	0.486	0.995	1.000

Heatmap
Table

	법정동코드	본번	부번	공동주택전유면적	공시가격	단지코드	층번호	읍면동명	리명	단지구분	특수지코드	특수지명
법정동코드	1.000	0.446	-0.300	-0.067	0.185	0.340	0.138	0.999	0.999	0.258	0.097	0.705
본번	0.446	1.000	-0.394	0.095	0.384	0.347	0.196	0.642	0.709	0.165	0.273	0.754
부번	-0.300	-0.394	1.000	-0.213	-0.438	-0.218	-0.230	0.446	0.633	0.308	0.628	0.705
공동주택전유면적	-0.067	0.095	-0.213	1.000	0.754	0.102	0.160	0.273	0.293	0.333	0.318	0.995
공시가격	0.185	0.384	-0.438	0.754	1.000	0.544	0.334	0.307	0.298	0.177	0.110	0.162
단지코드	0.340	0.347	-0.218	0.102	0.544	1.000	0.192	0.420	0.863	0.404	0.107	1.000
층번호	0.138	0.196	-0.230	0.160	0.334	0.192	1.000	0.143	0.165	0.191	0.029	0.371
읍면동명	0.999	0.642	0.446	0.273	0.307	0.420	0.143	1.000	0.999	0.401	0.486	0.995
리명	0.999	0.709	0.633	0.293	0.298	0.863	0.165	0.999	1.000	0.920	1.000	0.000
단지구분	0.258	0.165	0.308	0.333	0.177	0.404	0.191	0.401	0.920	1.000	0.015	0.811
특수지코드	0.097	0.273	0.628	0.318	0.110	0.107	0.029	0.486	1.000	0.015	1.000	0.955
특수지명	0.705	0.754	0.705	0.995	0.162	1.000	0.371	0.995	0.000	0.811	0.955	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

	관리번호	법정동코드	도로명주소	시도명	시군구명	읍면동명	리명	단지구분	본번	부번	특수지명	단지명	공동주택전유면적	공시가격	단지코드	동명칭	층번호	호명
20473	REQ-003-05-20474	4615013300	전라남도 순천시 조례1길 60	전라남도	순천시	조례동	<NA>	1	550	0	<NA>	남양휴튼	175.5	371000000	20054581	108	2	206
2262	REQ-003-05-02263	4615011400	전라남도 순천시 연향1로 62	전라남도	순천시	연향동	<NA>	1	1386	0	<NA>	부영2	60.0	63100000	223471	203	13	1313
29562	REQ-003-05-29563	4615013300	전라남도 순천시 장선배기길 63	전라남도	순천시	조례동	<NA>	1	1611	0	<NA>	중흥파크2	59.97	82100000	13045	202	7	703
23848	REQ-003-05-23849	4615010900	전라남도 순천시 가곡길 30	전라남도	순천시	가곡동	<NA>	1	646	0	<NA>	신영아파트	49.77	34200000	12974	102	1	102
46250	REQ-003-05-46251	4615013300	전라남도 순천시 봉화2길 119	전라남도	순천시	조례동	<NA>	1	851	0	<NA>	대림1	84.73	105000000	13025	103	4	406
51429	REQ-003-05-51430	4615011400	전라남도 순천시 안산길 75	전라남도	순천시	연향동	<NA>	5	89	51	<NA>	신성뜨란채	129.62	232000000	20355709	제7동	3	302
48823	REQ-003-05-48824	4615011000	전라남도 순천시 삼산로 135-5	전라남도	순천시	용당동	<NA>	1	215	0	<NA>	삼성	84.87	103000000	12979	6	11	1102
7907	REQ-003-05-07908	4615013300	전라남도 순천시 봉화2길 116	전라남도	순천시	조례동	<NA>	1	1658	0	<NA>	주공7	39.74	48100000	13048	703	8	802
23693	REQ-003-05-23694	4615011400	전라남도 순천시 도장길 40	전라남도	순천시	연향동	<NA>	1	1631	0	<NA>	율산에코지오아파트	84.98	115000000	223477	1204	2	202
56137	REQ-003-05-56138	4615031022	전라남도 순천시 신대로 96	전라남도	순천시	해룡면	신대리	1	2004	0	<NA>	중흥에스-클래스3단지	85.0	267000000	20285694	315	6	602

	관리번호	법정동코드	도로명주소	시도명	시군구명	읍면동명	리명	단지구분	특수지코드	본번	부번	특수지명	단지명	공동주택전유면적	공시가격	단지코드	동명칭	층번호	호명
21894	REQ-003-05-21895	4615031022	전라남도 순천시 신대로 66	전라남도	순천시	해룡면	신대리	1	0	2039	0	<NA>	중흥에스-클래스2단지	84.99	308000000	20180828	205	19	1902
26507	REQ-003-05-26508	4615011400	전라남도 순천시 도장길 40	전라남도	순천시	연향동	<NA>	1	0	1631	0	<NA>	율산에코지오아파트	84.98	131000000	223477	1203	14	1401
49759	REQ-003-05-49760	4615031022	전라남도 순천시 신대로 147	전라남도	순천시	해룡면	신대리	1	0	1969	0	<NA>	중흥에코시티8단지	104.95	475000000	20373224	805동	16	1603
5106	REQ-003-05-05107	4615010900	전라남도 순천시 고지1길 57	전라남도	순천시	가곡동	<NA>	1	6	15	8	15블록 8로트	참샘마을	46.9	62000000	20129920	103	3	305
26112	REQ-003-05-26113	4615011300	전라남도 순천시 이수로 224-29	전라남도	순천시	덕암동	<NA>	1	0	1	50	<NA>	현대	84.96	103000000	12990	103	8	804
49960	REQ-003-05-49961	4615013300	전라남도 순천시 유동길 1	전라남도	순천시	조례동	<NA>	1	0	1348	0	<NA>	주공1	40.47	67400000	13037	106	1	101
2403	REQ-003-05-02404	4615011400	전라남도 순천시 연향1로 62	전라남도	순천시	연향동	<NA>	1	0	1386	0	<NA>	부영2	60.0	63100000	223471	203	8	813
4596	REQ-003-05-04597	4615031023	전라남도 순천시 지봉로 372-5	전라남도	순천시	해룡면	상삼리	1	0	428	0	<NA>	신원아르시스	84.97	183000000	20085708	101	10	1001
13827	REQ-003-05-13828	4615011400	전라남도 순천시 연향1로 55	전라남도	순천시	연향동	<NA>	1	0	1384	3	<NA>	부영1	60.0	57600000	223470	105	13	1309
25156	REQ-003-05-25157	4615011300	전라남도 순천시 이수로 224-29	전라남도	순천시	덕암동	<NA>	1	0	1	50	<NA>	현대	84.96	97100000	12990	103	13	1301

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Dash Punctuation

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

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

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

Length

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

Uppercase Letter

Math Symbol

Dash Punctuation

Close Punctuation

Open Punctuation

Lowercase 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

Uppercase Letter

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Common