gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	5135
Missing cells	18825
Missing cells (%)	22.9%
Duplicate rows	864
Duplicate rows (%)	16.8%
Total size in memory	672.1 KiB
Average record size in memory	134.0 B

Variable types

Text	7
Categorical	4
Unsupported	2
Numeric	3

Dataset

Description	조서관리코드,프로젝트코드,지자체,조서유형(구분),이전 조서관리코드,최상위 조서관리코드,대분류,중분류,소분류,위치명,지역명,면적기정,면적증감코드,면적변경,면적변경후,결정고시관리코드
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-20282/S/1/datasetView.do

Alerts

Dataset has 864 (16.8%) duplicate rows	Duplicates
`면적기정` is highly overall correlated with `면적변경후`	High correlation
`면적변경후` is highly overall correlated with `면적기정`	High correlation
`조서유형(구분)` is highly overall correlated with `면적증감코드`	High correlation
`면적증감코드` is highly overall correlated with `조서유형(구분)`	High correlation
`지자체` is highly imbalanced (74.8%)	Imbalance
`프로젝트코드` has 62 (1.2%) missing values	Missing
`이전 조서관리코드` has 2249 (43.8%) missing values	Missing
`최상위 조서관리코드` has 1220 (23.8%) missing values	Missing
`중분류` has 5135 (100.0%) missing values	Missing
`소분류` has 5135 (100.0%) missing values	Missing
`위치명` has 94 (1.8%) missing values	Missing
`지역명` has 1276 (24.8%) missing values	Missing
`면적기정` has 851 (16.6%) missing values	Missing
`면적변경` has 2514 (49.0%) missing values	Missing
`면적변경후` has 267 (5.2%) missing values	Missing
`중분류` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`소분류` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`면적기정` has 1001 (19.5%) zeros	Zeros
`면적변경` has 94 (1.8%) zeros	Zeros
`면적변경후` has 205 (4.0%) zeros	Zeros

Reproduction

Analysis started	2024-05-03 20:15:04.833035
Analysis finished	2024-05-03 20:15:12.153616
Duration	7.32 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

조서관리코드
Text

Distinct	3602
Distinct (%)	70.1%
Missing	0
Missing (%)	0.0%
Memory size	40.2 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	102700
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	2738 ?
Unique (%)	53.3%

Sample

1st row	11350UTZ202103220002
2nd row	11000UTZ202005250001
3rd row	11000UTZ202008111114
4th row	11000UTZ202107300003
5th row	11000UTZ202310120001

Value	Count	Frequency (%)
11000utz201403034177	10	0.2%
11000utz201304104107	9	0.2%
11000utz201706013412	9	0.2%
11000utz201810230010	9	0.2%
11000utz201303114100	8	0.2%
11000utz201111102921	8	0.2%
11000utz201708213448	8	0.2%
11000utz201311013115	8	0.2%
11000utz201708143437	8	0.2%
11000utz201809060013	7	0.1%
Other values (3592)	5051	98.4%

Most occurring characters

Value	Count	Frequency (%)
0	32746	31.9%
1	20635	20.1%
2	12460	12.1%
U	5135	5.0%
T	5135	5.0%
Z	5135	5.0%
3	4140	4.0%
4	3330	3.2%
9	3164	3.1%
6	2846	2.8%
Other values (3)	7974	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	87295	85.0%
Uppercase Letter	15405	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32746	37.5%
1	20635	23.6%
2	12460	14.3%
3	4140	4.7%
4	3330	3.8%
9	3164	3.6%
6	2846	3.3%
8	2792	3.2%
5	2628	3.0%
7	2554	2.9%

Uppercase Letter

Value	Count	Frequency (%)
U	5135	33.3%
T	5135	33.3%
Z	5135	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	87295	85.0%
Latin	15405	15.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32746	37.5%
1	20635	23.6%
2	12460	14.3%
3	4140	4.7%
4	3330	3.8%
9	3164	3.6%
6	2846	3.3%
8	2792	3.2%
5	2628	3.0%
7	2554	2.9%

Latin

Value	Count	Frequency (%)
U	5135	33.3%
T	5135	33.3%
Z	5135	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	102700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32746	31.9%
1	20635	20.1%
2	12460	12.1%
U	5135	5.0%
T	5135	5.0%
Z	5135	5.0%
3	4140	4.0%
4	3330	3.2%
9	3164	3.1%
6	2846	2.8%
Other values (3)	7974	7.8%

프로젝트코드
Text

MISSING

Distinct	1989
Distinct (%)	39.2%
Missing	62
Missing (%)	1.2%
Memory size	40.2 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	101460
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	1057 ?
Unique (%)	20.8%

Sample

1st row	11350PPL202103220002
2nd row	11000PPL202005250002
3rd row	11290PPL202008110008
4th row	11000PPL202107300003
5th row	11000PPL202310120004

Value	Count	Frequency (%)
11000ppl202306290003	42	0.8%
11000ppl201012025681	37	0.7%
11000ppl200206202718	33	0.7%
11000ppl201903213050	32	0.6%
11000ppl201510297624	27	0.5%
11000ppl200601179549	26	0.5%
11000ppl199607136208	24	0.5%
11000ppl201607140070	22	0.4%
11000ppl201007085142	20	0.4%
11000ppl201003044595	19	0.4%
Other values (1979)	4791	94.4%

Most occurring characters

Value	Count	Frequency (%)
0	32512	32.0%
1	19388	19.1%
2	12083	11.9%
P	10146	10.0%
L	5073	5.0%
6	3630	3.6%
9	3301	3.3%
7	3265	3.2%
3	3236	3.2%
5	3098	3.1%
Other values (2)	5728	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	86241	85.0%
Uppercase Letter	15219	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32512	37.7%
1	19388	22.5%
2	12083	14.0%
6	3630	4.2%
9	3301	3.8%
7	3265	3.8%
3	3236	3.8%
5	3098	3.6%
8	2997	3.5%
4	2731	3.2%

Uppercase Letter

Value	Count	Frequency (%)
P	10146	66.7%
L	5073	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	86241	85.0%
Latin	15219	15.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32512	37.7%
1	19388	22.5%
2	12083	14.0%
6	3630	4.2%
9	3301	3.8%
7	3265	3.8%
3	3236	3.8%
5	3098	3.6%
8	2997	3.5%
4	2731	3.2%

Latin

Value	Count	Frequency (%)
P	10146	66.7%
L	5073	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	101460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32512	32.0%
1	19388	19.1%
2	12083	11.9%
P	10146	10.0%
L	5073	5.0%
6	3630	3.6%
9	3301	3.3%
7	3265	3.2%
3	3236	3.2%
5	3098	3.1%
Other values (2)	5728	5.6%

지자체
Categorical

IMBALANCE

Distinct	27
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	40.2 KiB

서울특별시	4428
동작구	60
광진구	46
송파구	46
영등포구	45
Other values (22)	510

Length

Max length	5
Median length	5
Mean length	4.7411879
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	노원구
2nd row	서울특별시
3rd row	성북구
4th row	서울특별시
5th row	서울특별시

Common Values

Value	Count	Frequency (%)
서울특별시	4428	86.2%
동작구	60	1.2%
광진구	46	0.9%
송파구	46	0.9%
영등포구	45	0.9%
은평구	39	0.8%
서초구	39	0.8%
마포구	37	0.7%
동대문구	37	0.7%
용산구	35	0.7%
Other values (17)	323	6.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
서울특별시	4428	86.2%
동작구	60	1.2%
광진구	46	0.9%
송파구	46	0.9%
영등포구	45	0.9%
은평구	39	0.8%
서초구	39	0.8%
마포구	37	0.7%
동대문구	37	0.7%
용산구	35	0.7%
Other values (17)	323	6.3%

조서유형(구분)
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.2 KiB

변경	2778
신설	1726
폐지	376
기정	193
실효	51

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
변경	2778	54.1%
신설	1726	33.6%
폐지	376	7.3%
기정	193	3.8%
실효	51	1.0%
정정	11	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
변경	2778	54.1%
신설	1726	33.6%
폐지	376	7.3%
기정	193	3.8%
실효	51	1.0%
정정	11	0.2%

이전 조서관리코드
Text

MISSING

Distinct	1263
Distinct (%)	43.8%
Missing	2249
Missing (%)	43.8%
Memory size	40.2 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	57720
Distinct characters	15
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	453 ?
Unique (%)	15.7%

Sample

1st row	11000UTZ201303114100
2nd row	11000UTZ201810020025
3rd row	11000UTZ201103222768
4th row	11500UTZ202302160001
5th row	11000UTZ200107103836

Value	Count	Frequency (%)
11000utz200911052630	17	0.6%
11000utz201110062907	16	0.6%
11000utz200609192270	13	0.5%
11000utz201112122935	12	0.4%
11000utz200904172550	12	0.4%
11000utz200206273989	12	0.4%
11000utz201205042979	10	0.3%
11000agz199812311095	10	0.3%
11000utz201304104107	10	0.3%
11000utz201207122989	10	0.3%
Other values (1253)	2764	95.8%

Most occurring characters

Value	Count	Frequency (%)
0	17661	30.6%
1	11510	19.9%
2	6453	11.2%
Z	2886	5.0%
U	2871	5.0%
T	2871	5.0%
9	2421	4.2%
3	2387	4.1%
6	1866	3.2%
8	1844	3.2%
Other values (5)	4950	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	49062	85.0%
Uppercase Letter	8658	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17661	36.0%
1	11510	23.5%
2	6453	13.2%
9	2421	4.9%
3	2387	4.9%
6	1866	3.8%
8	1844	3.8%
4	1754	3.6%
7	1699	3.5%
5	1467	3.0%

Uppercase Letter

Value	Count	Frequency (%)
Z	2886	33.3%
U	2871	33.2%
T	2871	33.2%
A	15	0.2%
G	15	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	49062	85.0%
Latin	8658	15.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	17661	36.0%
1	11510	23.5%
2	6453	13.2%
9	2421	4.9%
3	2387	4.9%
6	1866	3.8%
8	1844	3.8%
4	1754	3.6%
7	1699	3.5%
5	1467	3.0%

Latin

Value	Count	Frequency (%)
Z	2886	33.3%
U	2871	33.2%
T	2871	33.2%
A	15	0.2%
G	15	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	17661	30.6%
1	11510	19.9%
2	6453	11.2%
Z	2886	5.0%
U	2871	5.0%
T	2871	5.0%
9	2421	4.2%
3	2387	4.1%
6	1866	3.2%
8	1844	3.2%
Other values (5)	4950	8.6%

최상위 조서관리코드
Text

MISSING

Distinct	1591
Distinct (%)	40.6%
Missing	1220
Missing (%)	23.8%
Memory size	40.2 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	78300
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	1061 ?
Unique (%)	27.1%

Sample

1st row	11000UTZ202008111114
2nd row	11000UTZ200107103836
3rd row	11000UTZ199612100962
4th row	11000UTZ200107103836
5th row	11000UTZ200107103836

Value	Count	Frequency (%)
11000utz199710071461	64	1.6%
11000utz200107103836	55	1.4%
11000utz199406130619	46	1.2%
11000utz200107103833	36	0.9%
11000utz199503080636	31	0.8%
11000utz199607130755	30	0.8%
11000utz199608080950	29	0.7%
11000utz199610230831	27	0.7%
11000utz200601262231	25	0.6%
11000utz199803181049	23	0.6%
Other values (1581)	3549	90.7%

Most occurring characters

Value	Count	Frequency (%)
0	23789	30.4%
1	15493	19.8%
2	7185	9.2%
U	3915	5.0%
T	3915	5.0%
Z	3915	5.0%
9	3791	4.8%
3	3355	4.3%
6	3321	4.2%
4	2747	3.5%
Other values (3)	6874	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	66555	85.0%
Uppercase Letter	11745	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23789	35.7%
1	15493	23.3%
2	7185	10.8%
9	3791	5.7%
3	3355	5.0%
6	3321	5.0%
4	2747	4.1%
7	2433	3.7%
8	2425	3.6%
5	2016	3.0%

Uppercase Letter

Value	Count	Frequency (%)
U	3915	33.3%
T	3915	33.3%
Z	3915	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	66555	85.0%
Latin	11745	15.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	23789	35.7%
1	15493	23.3%
2	7185	10.8%
9	3791	5.7%
3	3355	5.0%
6	3321	5.0%
4	2747	4.1%
7	2433	3.7%
8	2425	3.6%
5	2016	3.0%

Latin

Value	Count	Frequency (%)
U	3915	33.3%
T	3915	33.3%
Z	3915	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23789	30.4%
1	15493	19.8%
2	7185	9.2%
U	3915	5.0%
T	3915	5.0%
Z	3915	5.0%
9	3791	4.8%
3	3355	4.3%
6	3321	4.2%
4	2747	3.5%
Other values (3)	6874	8.8%

대분류
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.2 KiB

지구단위계획구역	3287
특별계획구역	1848

Length

Max length	8
Median length	8
Mean length	7.2802337
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
지구단위계획구역	3287	64.0%
특별계획구역	1848	36.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
지구단위계획구역	3287	64.0%
특별계획구역	1848	36.0%

중분류
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	5135
Missing (%)	100.0%
Memory size	45.3 KiB

소분류
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	5135
Missing (%)	100.0%
Memory size	45.3 KiB

위치명
Text

MISSING

Distinct	2903
Distinct (%)	57.6%
Missing	94
Missing (%)	1.8%
Memory size	40.2 KiB

Length

Max length	96
Median length	67
Mean length	16.920651
Min length	1

Characters and Unicode

Total characters	85297
Distinct characters	302
Distinct categories	11 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

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

Unique

Unique	1980 ?
Unique (%)	39.3%

Sample

1st row	노원구 월계동 402-53일대
2nd row	서초구 방배동 988-1번지 일대
3rd row	성북구 장위동 144-24일대
4th row	서초구 내곡동 374번지 일대
5th row	강서구 화곡동, 내발산동 일원

Value	Count	Frequency (%)
일대	2597	14.0%
일원	963	5.2%
용산구	291	1.6%
영등포구	218	1.2%
동작구	217	1.2%
송파구	198	1.1%
구로구	188	1.0%
마포구	185	1.0%
강남구	181	1.0%
종로구	161	0.9%
Other values (3094)	13372	72.0%

Most occurring characters

Value	Count	Frequency (%)
	14102	16.5%
동	6304	7.4%
일	4502	5.3%
구	4131	4.8%
1	3800	4.5%
대	3793	4.4%
지	2991	3.5%
번	2732	3.2%
-	2691	3.2%
2	2492	2.9%
Other values (292)	37759	44.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	47894	56.1%
Decimal Number	18649	21.9%
Space Separator	14102	16.5%
Dash Punctuation	2691	3.2%
Other Punctuation	1483	1.7%
Open Punctuation	169	0.2%
Close Punctuation	168	0.2%
Math Symbol	86	0.1%
Uppercase Letter	32	< 0.1%
Lowercase Letter	21	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	6304	13.2%
일	4502	9.4%
구	4131	8.6%
대	3793	7.9%
지	2991	6.2%
번	2732	5.7%
원	1360	2.8%
로	1003	2.1%
서	766	1.6%
강	751	1.6%
Other values (255)	19561	40.8%

Uppercase Letter

Value	Count	Frequency (%)
P	9	28.1%
D	6	18.8%
C	4	12.5%
A	2	6.2%
L	2	6.2%
I	2	6.2%
E	1	3.1%
O	1	3.1%
F	1	3.1%
W	1	3.1%
Other values (3)	3	9.4%

Decimal Number

Value	Count	Frequency (%)
1	3800	20.4%
2	2492	13.4%
3	2102	11.3%
4	1825	9.8%
5	1711	9.2%
0	1616	8.7%
6	1601	8.6%
7	1292	6.9%
8	1133	6.1%
9	1077	5.8%

Other Punctuation

Value	Count	Frequency (%)
,	1414	95.3%
?	38	2.6%
.	21	1.4%
:	8	0.5%
？	2	0.1%

Lowercase Letter

Value	Count	Frequency (%)
m	14	66.7%
s	4	19.0%
i	3	14.3%

Space Separator

Value	Count	Frequency (%)
	14102	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2691	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	169	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	168	100.0%

Math Symbol

Value	Count	Frequency (%)
~	86	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	47892	56.1%
Common	37350	43.8%
Latin	53	0.1%
Han	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	6304	13.2%
일	4502	9.4%
구	4131	8.6%
대	3793	7.9%
지	2991	6.2%
번	2732	5.7%
원	1360	2.8%
로	1003	2.1%
서	766	1.6%
강	751	1.6%
Other values (254)	19559	40.8%

Common

Value	Count	Frequency (%)
	14102	37.8%
1	3800	10.2%
-	2691	7.2%
2	2492	6.7%
3	2102	5.6%
4	1825	4.9%
5	1711	4.6%
0	1616	4.3%
6	1601	4.3%
,	1414	3.8%
Other values (11)	3996	10.7%

Latin

Value	Count	Frequency (%)
m	14	26.4%
P	9	17.0%
D	6	11.3%
C	4	7.5%
s	4	7.5%
i	3	5.7%
A	2	3.8%
L	2	3.8%
I	2	3.8%
E	1	1.9%
Other values (6)	6	11.3%

Han

Value	Count	Frequency (%)
外	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	47887	56.1%
ASCII	37401	43.8%
Compat Jamo	5	< 0.1%
CJK	2	< 0.1%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14102	37.7%
1	3800	10.2%
-	2691	7.2%
2	2492	6.7%
3	2102	5.6%
4	1825	4.9%
5	1711	4.6%
0	1616	4.3%
6	1601	4.3%
,	1414	3.8%
Other values (26)	4047	10.8%

Hangul

Value	Count	Frequency (%)
동	6304	13.2%
일	4502	9.4%
구	4131	8.6%
대	3793	7.9%
지	2991	6.2%
번	2732	5.7%
원	1360	2.8%
로	1003	2.1%
서	766	1.6%
강	751	1.6%
Other values (253)	19554	40.8%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	5	100.0%

CJK

Value	Count	Frequency (%)
外	2	100.0%

None

Value	Count	Frequency (%)
？	2	100.0%

지역명
Text

MISSING

Distinct	1584
Distinct (%)	41.0%
Missing	1276
Missing (%)	24.8%
Memory size	40.2 KiB

Length

Max length	58
Median length	51
Mean length	16.415652
Min length	3

Characters and Unicode

Total characters	63348
Distinct characters	351
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

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

Unique

Unique	889 ?
Unique (%)	23.0%

Sample

1st row	광운대 지구단위계획구역
2nd row	방배신동아아파트재건축
3rd row	장위1구역
4th row	헌인마을 지구단위계획구역
5th row	화곡아파트지구 지구단위계획구역

Value	Count	Frequency (%)
지구단위계획구역	1911	21.7%
제1종지구단위계획구역	731	8.3%
일대	119	1.3%
지구단위계획	106	1.2%
도시설계지구	100	1.1%
역세권	96	1.1%
일원	91	1.0%
상세계획구역	83	0.9%
및	80	0.9%
청년주택	75	0.9%
Other values (1579)	5427	61.5%

Most occurring characters

Value	Count	Frequency (%)
구	8367	13.2%
	5446	8.6%
지	5339	8.4%
역	4122	6.5%
계	3490	5.5%
획	3299	5.2%
단	3282	5.2%
위	3247	5.1%
1	1400	2.2%
제	958	1.5%
Other values (341)	24398	38.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	54330	85.8%
Space Separator	5446	8.6%
Decimal Number	2710	4.3%
Dash Punctuation	221	0.3%
Open Punctuation	192	0.3%
Close Punctuation	192	0.3%
Uppercase Letter	154	0.2%
Other Punctuation	96	0.2%
Lowercase Letter	3	< 0.1%
Letter Number	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	8367	15.4%
지	5339	9.8%
역	4122	7.6%
계	3490	6.4%
획	3299	6.1%
단	3282	6.0%
위	3247	6.0%
제	958	1.8%
종	941	1.7%
동	765	1.4%
Other values (307)	20520	37.8%

Uppercase Letter

Value	Count	Frequency (%)
C	54	35.1%
D	35	22.7%
M	34	22.1%
I	11	7.1%
K	6	3.9%
T	5	3.2%
J	4	2.6%
L	1	0.6%
W	1	0.6%
S	1	0.6%
Other values (2)	2	1.3%

Decimal Number

Value	Count	Frequency (%)
1	1400	51.7%
2	307	11.3%
3	203	7.5%
4	172	6.3%
5	141	5.2%
6	107	3.9%
8	103	3.8%
7	99	3.7%
0	96	3.5%
9	82	3.0%

Other Punctuation

Value	Count	Frequency (%)
?	67	69.8%
.	17	17.7%
,	12	12.5%

Lowercase Letter

Value	Count	Frequency (%)
g	1	33.3%
i	1	33.3%
a	1	33.3%

Space Separator

Value	Count	Frequency (%)
	5446	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	221	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	192	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	192	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	2	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	54330	85.8%
Common	8859	14.0%
Latin	159	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	8367	15.4%
지	5339	9.8%
역	4122	7.6%
계	3490	6.4%
획	3299	6.1%
단	3282	6.0%
위	3247	6.0%
제	958	1.8%
종	941	1.7%
동	765	1.4%
Other values (307)	20520	37.8%

Common

Value	Count	Frequency (%)
	5446	61.5%
1	1400	15.8%
2	307	3.5%
-	221	2.5%
3	203	2.3%
(	192	2.2%
)	192	2.2%
4	172	1.9%
5	141	1.6%
6	107	1.2%
Other values (8)	478	5.4%

Latin

Value	Count	Frequency (%)
C	54	34.0%
D	35	22.0%
M	34	21.4%
I	11	6.9%
K	6	3.8%
T	5	3.1%
J	4	2.5%
Ⅱ	2	1.3%
g	1	0.6%
L	1	0.6%
Other values (6)	6	3.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	54322	85.8%
ASCII	9016	14.2%
Compat Jamo	8	< 0.1%
Number Forms	2	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	8367	15.4%
지	5339	9.8%
역	4122	7.6%
계	3490	6.4%
획	3299	6.1%
단	3282	6.0%
위	3247	6.0%
제	958	1.8%
종	941	1.7%
동	765	1.4%
Other values (306)	20512	37.8%

ASCII

Value	Count	Frequency (%)
	5446	60.4%
1	1400	15.5%
2	307	3.4%
-	221	2.5%
3	203	2.3%
(	192	2.1%
)	192	2.1%
4	172	1.9%
5	141	1.6%
6	107	1.2%
Other values (23)	635	7.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	8	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅱ	2	100.0%

면적기정
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	1526
Distinct (%)	35.6%
Missing	851
Missing (%)	16.6%
Infinite	0
Infinite (%)	0.0%
Mean	233242.16

Minimum	0
Maximum	4701460
Zeros	1001
Zeros (%)	19.5%
Negative	0
Negative (%)	0.0%
Memory size	45.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	882.75
median	29076
Q3	157500
95-th percentile	1071491
Maximum	4701460
Range	4701460
Interquartile range (IQR)	156617.25

Descriptive statistics

Standard deviation	603417.06
Coefficient of variation (CV)	2.587084
Kurtosis	22.331657
Mean	233242.16
Median Absolute Deviation (MAD)	29076
Skewness	4.5512291
Sum	9.9920942 × 10⁸
Variance	3.6411215 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1001	19.5%
1071585.2	32	0.6%
554990.0	25	0.5%
550338.0	19	0.4%
184840.0	18	0.4%
1071491.0	17	0.3%
3436880.0	15	0.3%
654822.0	15	0.3%
71160.0	14	0.3%
220300.0	13	0.3%
Other values (1516)	3115	60.7%
(Missing)	851	16.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1001	19.5%
3.38	1	< 0.1%
6.66	1	< 0.1%
20.0	1	< 0.1%
22.33	2	< 0.1%
66.0	1	< 0.1%
98.22	2	< 0.1%
99.0	1	< 0.1%
106.42	1	< 0.1%
119.0	1	< 0.1%

Value	Count	Frequency (%)
4701460.0	3	0.1%
4375391.0	2	< 0.1%
4368963.0	1	< 0.1%
4368463.0	2	< 0.1%
3937263.0	2	< 0.1%
3883394.0	4	0.1%
3668796.0	1	< 0.1%
3666644.2	1	< 0.1%
3666582.0	1	< 0.1%
3665783.0	5	0.1%

면적증감코드
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.2 KiB

<NA>	2635
1	1518
2	982

Length

Max length	4
Median length	4
Mean length	2.5394352
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	2635	51.3%
1	1518	29.6%
2	982	19.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	2635	51.3%
1	1518	29.6%
2	982	19.1%

면적변경
Real number (ℝ)

MISSING ZEROS

Distinct	1368
Distinct (%)	52.2%
Missing	2514
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	44997.036

Minimum	0
Maximum	3883394
Zeros	94
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	45.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1.1
Q1	322
median	4956
Q3	25229.6
95-th percentile	188743
Maximum	3883394
Range	3883394
Interquartile range (IQR)	24907.6

Descriptive statistics

Standard deviation	184865.69
Coefficient of variation (CV)	4.108397
Kurtosis	177.55964
Mean	44997.036
Median Absolute Deviation (MAD)	4939
Skewness	11.652801
Sum	1.1793723 × 10⁸
Variance	3.4175322 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	94	1.8%
94.2	16	0.3%
0.6	12	0.2%
258595.0	12	0.2%
2.0	11	0.2%
25030.0	11	0.2%
115.7	10	0.2%
293.49	10	0.2%
9.9	10	0.2%
4.2	9	0.2%
Other values (1358)	2426	47.2%
(Missing)	2514	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	94	1.8%
0.01	1	< 0.1%
0.2	5	0.1%
0.3	3	0.1%
0.4	5	0.1%
0.5	1	< 0.1%
0.59	1	< 0.1%
0.6	12	0.2%
0.8	1	< 0.1%
1.0	7	0.1%

Value	Count	Frequency (%)
3883394.0	1	< 0.1%
3310000.0	1	< 0.1%
2821097.5	1	< 0.1%
2768400.0	1	< 0.1%
2663453.0	1	< 0.1%
1987995.7	2	< 0.1%
1660535.0	1	< 0.1%
1441267.0	3	0.1%
1337938.0	1	< 0.1%
1164364.5	1	< 0.1%

면적변경후
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	2815
Distinct (%)	57.8%
Missing	267
Missing (%)	5.2%
Infinite	0
Infinite (%)	0.0%
Mean	235383.46

Minimum	0
Maximum	5268557
Zeros	205
Zeros (%)	4.0%
Negative	0
Negative (%)	0.0%
Memory size	45.3 KiB

Quantile statistics

Minimum	0
5-th percentile	259.9
Q1	7050.55
median	36379.5
Q3	166010
95-th percentile	1060990.5
Maximum	5268557
Range	5268557
Interquartile range (IQR)	158959.45

Descriptive statistics

Standard deviation	606025.7
Coefficient of variation (CV)	2.5746316
Kurtosis	23.879729
Mean	235383.46
Median Absolute Deviation (MAD)	34144.56
Skewness	4.688345
Sum	1.1458467 × 10⁹
Variance	3.6726714 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	205	4.0%
1071585.2	34	0.7%
554990.0	22	0.4%
184840.0	21	0.4%
550338.0	16	0.3%
654822.0	14	0.3%
801860.0	12	0.2%
220300.0	11	0.2%
1071491.0	11	0.2%
67183.0	10	0.2%
Other values (2805)	4512	87.9%
(Missing)	267	5.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	205	4.0%
21.9	2	< 0.1%
29.5	3	0.1%
35.0	1	< 0.1%
108.4	1	< 0.1%
115.92	2	< 0.1%
121.3	1	< 0.1%
132.0	2	< 0.1%
134.9	1	< 0.1%
144.0	2	< 0.1%

Value	Count	Frequency (%)
5268557.0	3	0.1%
5015191.0	1	< 0.1%
4375391.0	2	< 0.1%
4371097.4	1	< 0.1%
4368963.0	1	< 0.1%
4368463.0	2	< 0.1%
3937263.0	3	0.1%
3883394.0	9	0.2%
3668801.7	1	< 0.1%
3668796.0	1	< 0.1%

결정고시관리코드
Text

Distinct	1991
Distinct (%)	38.9%
Missing	22
Missing (%)	0.4%
Memory size	40.2 KiB

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	102260
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	1057 ?
Unique (%)	20.7%

Sample

1st row	11350NTC202103220003
2nd row	11000NTC202005250002
3rd row	11000NTC202008110008
4th row	11000NTC202107300003
5th row	11000NTC202404250002

Value	Count	Frequency (%)
11000ntc202310040001	42	0.8%
11000ntc201711160001	37	0.7%
11000ntc201012025681	37	0.7%
11000ntc200206202718	33	0.6%
11000ntc201903213050	32	0.6%
11000ntc201510297624	27	0.5%
11000ntc200601179549	26	0.5%
11000ntc199607136208	24	0.5%
11000ntc201607140070	22	0.4%
11000ntc201007085142	20	0.4%
Other values (1981)	4813	94.1%

Most occurring characters

Value	Count	Frequency (%)
0	33042	32.3%
1	19710	19.3%
2	11999	11.7%
N	5113	5.0%
T	5113	5.0%
C	5113	5.0%
6	3570	3.5%
9	3321	3.2%
7	3307	3.2%
3	3305	3.2%
Other values (3)	8667	8.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	86921	85.0%
Uppercase Letter	15339	15.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33042	38.0%
1	19710	22.7%
2	11999	13.8%
6	3570	4.1%
9	3321	3.8%
7	3307	3.8%
3	3305	3.8%
5	3011	3.5%
8	2935	3.4%
4	2721	3.1%

Uppercase Letter

Value	Count	Frequency (%)
N	5113	33.3%
T	5113	33.3%
C	5113	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	86921	85.0%
Latin	15339	15.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33042	38.0%
1	19710	22.7%
2	11999	13.8%
6	3570	4.1%
9	3321	3.8%
7	3307	3.8%
3	3305	3.8%
5	3011	3.5%
8	2935	3.4%
4	2721	3.1%

Latin

Value	Count	Frequency (%)
N	5113	33.3%
T	5113	33.3%
C	5113	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	102260	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33042	32.3%
1	19710	19.3%
2	11999	11.7%
N	5113	5.0%
T	5113	5.0%
C	5113	5.0%
6	3570	3.5%
9	3321	3.2%
7	3307	3.2%
3	3305	3.2%
Other values (3)	8667	8.5%

Heatmap
Table

	지자체	조서유형(구분)	대분류	면적기정	면적증감코드	면적변경	면적변경후
지자체	1.000	0.249	0.123	0.041	0.136	0.000	0.045
조서유형(구분)	0.249	1.000	0.452	0.309	0.525	0.258	0.260
대분류	0.123	0.452	1.000	0.260	0.213	0.120	0.339
면적기정	0.041	0.309	0.260	1.000	0.122	0.676	0.918
면적증감코드	0.136	0.525	0.213	0.122	1.000	0.027	0.119
면적변경	0.000	0.258	0.120	0.676	0.027	1.000	0.896
면적변경후	0.045	0.260	0.339	0.918	0.119	0.896	1.000

Heatmap
Table

	지자체	조서유형(구분)	대분류	면적증감코드
지자체	1.000	0.112	0.106	0.116
조서유형(구분)	0.112	1.000	0.326	0.636
대분류	0.106	0.326	1.000	0.137
면적증감코드	0.116	0.636	0.137	1.000

Heatmap
Table

	면적기정	면적변경	면적변경후	지자체	조서유형(구분)	대분류	면적증감코드
면적기정	1.000	-0.077	0.711	0.014	0.159	0.260	0.092
면적변경	-0.077	1.000	0.126	0.000	0.110	0.092	0.026
면적변경후	0.711	0.126	1.000	0.016	0.140	0.260	0.118
지자체	0.014	0.000	0.016	1.000	0.112	0.106	0.116
조서유형(구분)	0.159	0.110	0.140	0.112	1.000	0.326	0.636
대분류	0.260	0.092	0.260	0.106	0.326	1.000	0.137
면적증감코드	0.092	0.026	0.118	0.116	0.636	0.137	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	조서관리코드	프로젝트코드	지자체	조서유형(구분)	이전 조서관리코드	최상위 조서관리코드	대분류	중분류	소분류	위치명	지역명	면적기정	면적증감코드	면적변경	면적변경후	결정고시관리코드
0	11350UTZ202103220002	11350PPL202103220002	노원구	변경	<NA>	<NA>	지구단위계획구역	<NA>	<NA>	노원구 월계동 402-53일대	광운대 지구단위계획구역	56400.0	<NA>	<NA>	56413.0	11350NTC202103220003
1	11000UTZ202005250001	11000PPL202005250002	서울특별시	신설	<NA>	<NA>	지구단위계획구역	<NA>	<NA>	서초구 방배동 988-1번지 일대	방배신동아아파트재건축	0.0	<NA>	<NA>	37902.6	11000NTC202005250002
2	11000UTZ202008111114	11290PPL202008110008	성북구	변경	<NA>	11000UTZ202008111114	특별계획구역	<NA>	<NA>	성북구 장위동 144-24일대	장위1구역	80265.6	1	46.6	80312.2	11000NTC202008110008
3	11000UTZ202107300003	11000PPL202107300003	서울특별시	변경	<NA>	<NA>	지구단위계획구역	<NA>	<NA>	서초구 내곡동 374번지 일대	헌인마을 지구단위계획구역	132379.7	<NA>	<NA>	132523.0	11000NTC202107300003
4	11000UTZ202310120001	11000PPL202310120004	서울특별시	신설	<NA>	<NA>	지구단위계획구역	<NA>	<NA>	강서구 화곡동, 내발산동 일원	화곡아파트지구 지구단위계획구역	0.0	1	371276.4	371276.4	11000NTC202404250002
5	11140UTZ202310240003	11140PPL202310240002	중구	신설	<NA>	<NA>	특별계획구역	<NA>	<NA>	신당동 295-25번지 일대	신당?청구 역세권 일대 지구단위계획구역	0.0	1	6227.0	6227.0	11140NTC202403190001
6	11000UTZ202306290035	11000PPL202306290003	서울특별시	신설	<NA>	<NA>	특별계획구역	<NA>	<NA>	잠원동 50-2번지	반포아파트지구 지구단위계획구역	0.0	1	9949.2	9949.2	11000NTC202310040001
7	11215UTZ202309190010	11215PPL202309190012	광진구	신설	<NA>	<NA>	특별계획구역	<NA>	<NA>	화양동 49-11번지 일대	동일로지구 지구단위계획구역	0.0	1	2940.5	2940.5	11215NTC202309190012
8	11000UTZ201304104107	11000PPL201212136697	서울특별시	변경	11000UTZ201303114100	11000UTZ200107103836	특별계획구역	<NA>	<NA>	용산구 한강로 3가 63번지 일대	<NA>	110089.8	2	6.2	110083.6	11000NTC201212136697
9	11000UTZ201908160001	11000PPL201908160006	서울특별시	변경	11000UTZ201810020025	11000UTZ199612100962	특별계획구역	<NA>	<NA>	휘경동 161-37번지 일대	이문 생활권중심 지구단위계획구역	5299.6	<NA>	<NA>	5283.6	11230NTC201908160004

	조서관리코드	프로젝트코드	지자체	조서유형(구분)	이전 조서관리코드	최상위 조서관리코드	대분류	중분류	소분류	위치명	지역명	면적기정	면적증감코드	면적변경	면적변경후	결정고시관리코드
5125	11000UTZ202012020068	11000PPL202012020025	서울특별시	변경	<NA>	<NA>	특별계획구역	<NA>	<NA>	자양동 550-1호 일대	자양지구단위계획구역	4344.0	<NA>	<NA>	4248.0	11000NTC202012020025
5126	11000UTZ200511293565	11000PPL200508048676	서울특별시	변경	11000UTZ200008166150	11000UTZ200008166150	특별계획구역	<NA>	<NA>	중랑구 상봉동 79-1번지 일대	<NA>	8757.0	<NA>	<NA>	8759.1	11000NTC200508048676
5127	11000UTZ200504214358	11000PPL200504218057	서울특별시	변경	11000UTZ200503176132	11000UTZ200503176132	특별계획구역	<NA>	<NA>	강서구 공항동71-2 일대	<NA>	9866.0	<NA>	<NA>	9867.0	11000NTC200504218057
5128	11000UTZ199702201465	11000PPL199702206723	서울특별시	신설	<NA>	11000UTZ199702201465	지구단위계획구역	<NA>	<NA>	동대문구 신설동 96번지 일대	신설 상세계획구역	0.0	<NA>	<NA>	61300.0	11000NTC199702206723
5129	11000UTZ202011081129	11000PPL201711168335	금천구	신설	<NA>	11000UTZ202011081129	특별계획구역	<NA>	<NA>	시흥3동 972-9 일대	석수역세권 지구단위계획구역	0.0	1	6502.0	6502.0	11000NTC201711168335
5130	11710UTZ202101220001	11710PPL202101220003	송파구	신설	<NA>	<NA>	지구단위계획구역	<NA>	<NA>	송파구 방이동 52-2번지 일원	송파구 방이동 52-2번지 일원 창업지원주택 지구단위계획구역	0.0	<NA>	<NA>	11276.8	11710NTC202101220003
5131	11000UTZ201208202996	11000PPL201203026428	서울특별시	기정	<NA>	11000UTZ201208202996	지구단위계획구역	<NA>	<NA>	강남구 수서동, 일원동 일원	수서택지개발지구 지구단위계획구역	1335246.0	<NA>	<NA>	1335246.0	11000NTC201203026428
5132	11000UTZ201511123272	11000PPL201509247597	서울특별시	변경	11000UTZ201112122935	11000UTZ199406130617	지구단위계획구역	<NA>	<NA>	송파구 잠실동, 올림픽로 주변	잠실광역중심제2지구 지구단위계획구역	1121878.0	<NA>	<NA>	367687.0	11000NTC201509247597
5133	11000UTZ200108103846	11000PPL200108101159	서울특별시	변경	<NA>	11000UTZ200108103846	지구단위계획구역	<NA>	<NA>	화곡동 1074-31	신월지구	175.4	<NA>	<NA>	175.4	11000NTC200108101159
5134	11000UTZ202012170005	11000PPL202012170002	서울특별시	신설	<NA>	<NA>	특별계획구역	<NA>	<NA>	서초구 방배동 874-2번지 일대	내방역 일대 지구단위계획구역	0.0	<NA>	<NA>	3295.0	11000NTC202012170002

Most frequently occurring

	조서관리코드	프로젝트코드	지자체	조서유형(구분)	이전 조서관리코드	최상위 조서관리코드	대분류	위치명	지역명	면적기정	면적증감코드	면적변경	면적변경후	결정고시관리코드	# duplicates
560	11000UTZ201403034177	11000PPL201312127033	서울특별시	변경	11000UTZ201304104107	11000UTZ200107103836	특별계획구역	용산구 한강로3가 63번지 일대	<NA>	110083.6	2	115.7	109967.9	11000NTC201312127033	10
517	11000UTZ201304104107	11000PPL201212136697	서울특별시	변경	11000UTZ201303114100	11000UTZ200107103836	특별계획구역	용산구 한강로 3가 63번지 일대	<NA>	110089.8	2	6.2	110083.6	11000NTC201212136697	9
662	11000UTZ201706013412	11000PPL201612017952	서울특별시	변경	11000UTZ201111102921	11000UTZ199710071461	지구단위계획구역	구로구 구로동 602-5 일대, 신도림동 642 일대	구로역 및 신도림역세권 지구단위계획구역	1071585.2	2	10908.5	1060676.7	11000NTC201612017952	9
771	11000UTZ201810230010	11000PPL201810040004	서울특별시	변경	11000UTZ201708213448	11000UTZ199406130619	지구단위계획구역	마포구 신촌로, 양화로변 일대	마포지구 지구단위계획구역	270547.0	1	0.6	270547.6	11000NTC201810040004	9
467	11000UTZ201111102921	11000PPL201111106302	서울특별시	기정	11000UTZ201110062907	11000UTZ199710071461	지구단위계획구역	구로구 구로동 602-5일대(경인로332일대)	구로역 및 신도림역세권 제1종지구단위계획구역	1071585.2	<NA>	<NA>	1071585.2	11000NTC201111106302	8
514	11000UTZ201303114100	11000PPL201207136551	서울특별시	변경	11000UTZ201209194090	11000UTZ200107103836	특별계획구역	용산구 한강로3가 63번지 일대	<NA>	110102.3	2	12.5	110089.8	11000NTC201207136551	8
529	11000UTZ201311013115	11000PPL201111106307	서울특별시	기정	11000UTZ201110062907	11000UTZ199710071461	지구단위계획구역	구로구 구로동 602-5일대(경인로332일대)	구로역 및 신도림역세권 제1종지구단위계획구역	1071585.2	<NA>	<NA>	1071585.2	11000NTC201111106307	8
676	11000UTZ201708143437	11000PPL201612157963	서울특별시	변경	11000UTZ201611303384	11000UTZ200107103833	지구단위계획구역	중구 봉래동~용산구 한강로 일대	용산지구단위계획구역	3436880.0	2	293.49	3436586.51	11000NTC201612157963	8
678	11000UTZ201708213448	11000PPL201706158166	서울특별시	변경	11000UTZ201405133196	11000UTZ199406130619	지구단위계획구역	마포구 신촌로, 양화로변 일대	마포지구 지구단위계획구역	305043.0	2	34496.0	270547.0	11000NTC201706158166	8
464	11000UTZ201110062907	11000PPL201110066259	서울특별시	기정	11000UTZ201109072856	11000UTZ199710071461	지구단위계획구역	구로구 구로동 602-5번지 일대	구로역 및 신도림역세권 제1종지구단위계획구역	1071585.2	<NA>	0.0	1071585.2	11000NTC201110066259	7

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

Common Values

Length

Common Values

Length

Common Values (Plot)

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

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Connector Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Han

Most occurring blocks

Most frequent character per block