gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	2481
Missing cells	4299
Missing cells (%)	9.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	390.2 KiB
Average record size in memory	161.1 B

Variable types

Categorical	3
Text	6
Numeric	8
Boolean	1
DateTime	1

Dataset

Description	공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author	지방자치단체
URL	https://www.data.go.kr/data/15028199/standard.do

Alerts

`지정연도` is highly overall correlated with `제공기관코드`	High correlation
`도로폭` is highly overall correlated with `도로차로수`	High correlation
`시작점위도` is highly overall correlated with `종료점위도` and 3 other fields	High correlation
`시작점경도` is highly overall correlated with `종료점경도` and 2 other fields	High correlation
`종료점위도` is highly overall correlated with `시작점위도` and 3 other fields	High correlation
`종료점경도` is highly overall correlated with `시작점경도` and 2 other fields	High correlation
`제공기관코드` is highly overall correlated with `지정연도` and 4 other fields	High correlation
`시도명` is highly overall correlated with `시작점위도` and 5 other fields	High correlation
`지정사유` is highly overall correlated with `시작점위도` and 6 other fields	High correlation
`도로차로수` is highly overall correlated with `도로폭`	High correlation
`보차분리여부` is highly overall correlated with `지정사유`	High correlation
`지정사유` is highly imbalanced (66.2%)	Imbalance
`도로차로수` is highly imbalanced (86.8%)	Imbalance
`지정연도` has 1892 (76.3%) missing values	Missing
`도로안내표지일련번호` has 2407 (97.0%) missing values	Missing
`도로연장` has 65 (2.6%) zeros	Zeros

Reproduction

Analysis started	2024-05-11 07:46:54.341755
Analysis finished	2024-05-11 07:47:23.427923
Duration	29.09 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시도명
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

서울특별시	767
경기도	607
경상북도	331
경상남도	154
전라남도	115
Other values (9)	507

Length

Max length	7
Median length	5
Mean length	4.2692463
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
서울특별시	767	30.9%
경기도	607	24.5%
경상북도	331	13.3%
경상남도	154	6.2%
전라남도	115	4.6%
충청남도	113	4.6%
강원특별자치도	67	2.7%
강원도	59	2.4%
제주특별자치도	55	2.2%
인천광역시	51	2.1%
Other values (4)	162	6.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
서울특별시	767	30.9%
경기도	607	24.5%
경상북도	331	13.3%
경상남도	154	6.2%
전라남도	115	4.6%
충청남도	113	4.6%
강원특별자치도	67	2.7%
강원도	59	2.4%
제주특별자치도	55	2.2%
인천광역시	51	2.1%
Other values (4)	162	6.5%

시군구명
Text

Distinct	70
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Length

Max length	8
Median length	3
Mean length	3.0737606
Min length	2

Characters and Unicode

Total characters	7626
Distinct characters	78
Distinct categories	2 ?
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	4 ?
Unique (%)	0.2%

Sample

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

Value	Count	Frequency (%)
포항시	235	9.4%
안양시	222	8.9%
광진구	184	7.4%
서초구	166	6.7%
강서구	146	5.9%
안산시	115	4.6%
용산구	103	4.1%
관악구	97	3.9%
천안시	86	3.5%
수원시	77	3.1%
Other values (61)	1060	42.6%

Most occurring characters

Value	Count	Frequency (%)
시	1505	19.7%
구	907	11.9%
서	466	6.1%
안	423	5.5%
천	326	4.3%
산	317	4.2%
포	296	3.9%
양	275	3.6%
항	235	3.1%
진	200	2.6%
Other values (68)	2676	35.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	7616	99.9%
Space Separator	10	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	1505	19.8%
구	907	11.9%
서	466	6.1%
안	423	5.6%
천	326	4.3%
산	317	4.2%
포	296	3.9%
양	275	3.6%
항	235	3.1%
진	200	2.6%
Other values (67)	2666	35.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	7616	99.9%
Common	10	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	1505	19.8%
구	907	11.9%
서	466	6.1%
안	423	5.6%
천	326	4.3%
산	317	4.2%
포	296	3.9%
양	275	3.6%
항	235	3.1%
진	200	2.6%
Other values (67)	2666	35.0%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	7616	99.9%
ASCII	10	0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	1505	19.8%
구	907	11.9%
서	466	6.1%
안	423	5.6%
천	326	4.3%
산	317	4.2%
포	296	3.9%
양	275	3.6%
항	235	3.1%
진	200	2.6%
Other values (67)	2666	35.0%

ASCII

Value	Count	Frequency (%)
	10	100.0%

도로명
Text

Distinct	1861
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Length

Max length	62
Median length	48
Mean length	7.1015719
Min length	3

Characters and Unicode

Total characters	17619
Distinct characters	407
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

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

Unique

Unique	1478 ?
Unique (%)	59.6%

Sample

1st row	남부순환로335길
2nd row	서초중앙로2길
3rd row	남부순환로337가길
4th row	남부순환로337가길
5th row	남부순환로337가길

Value	Count	Frequency (%)
중앙로	58	1.9%
중흥로	47	1.5%
상공로	42	1.3%
	24	0.8%
계양구	22	0.7%
인천광역시	22	0.7%
남부순환로	13	0.4%
146번길	12	0.4%
신대6블럭	12	0.4%
양재천로	11	0.4%
Other values (2082)	2865	91.6%

Most occurring characters

Value	Count	Frequency (%)
길	1987	11.3%
로	1923	10.9%
1	782	4.4%
번	743	4.2%
	647	3.7%
2	626	3.6%
3	531	3.0%
4	461	2.6%
5	426	2.4%
대	377	2.1%
Other values (397)	9116	51.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	12446	70.6%
Decimal Number	4136	23.5%
Space Separator	647	3.7%
Open Punctuation	99	0.6%
Close Punctuation	98	0.6%
Math Symbol	88	0.5%
Dash Punctuation	74	0.4%
Uppercase Letter	15	0.1%
Other Punctuation	14	0.1%
Lowercase Letter	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
길	1987	16.0%
로	1923	15.5%
번	743	6.0%
대	377	3.0%
천	242	1.9%
동	233	1.9%
중	215	1.7%
양	169	1.4%
앙	144	1.2%
남	133	1.1%
Other values (364)	6280	50.5%

Decimal Number

Value	Count	Frequency (%)
1	782	18.9%
2	626	15.1%
3	531	12.8%
4	461	11.1%
5	426	10.3%
6	305	7.4%
7	286	6.9%
8	269	6.5%
0	231	5.6%
9	219	5.3%

Uppercase Letter

Value	Count	Frequency (%)
G	3	20.0%
S	3	20.0%
B	2	13.3%
D	2	13.3%
K	1	6.7%
T	1	6.7%
I	1	6.7%
M	1	6.7%
L	1	6.7%

Other Punctuation

Value	Count	Frequency (%)
,	5	35.7%
:	4	28.6%
.	2	14.3%
/	2	14.3%
·	1	7.1%

Math Symbol

Value	Count	Frequency (%)
~	65	73.9%
→	20	22.7%
⇒	2	2.3%
∼	1	1.1%

Space Separator

Value	Count	Frequency (%)
	647	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	99	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	98	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	74	100.0%

Lowercase Letter

Value	Count	Frequency (%)
m	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	12446	70.6%
Common	5156	29.3%
Latin	17	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
길	1987	16.0%
로	1923	15.5%
번	743	6.0%
대	377	3.0%
천	242	1.9%
동	233	1.9%
중	215	1.7%
양	169	1.4%
앙	144	1.2%
남	133	1.1%
Other values (364)	6280	50.5%

Common

Value	Count	Frequency (%)
1	782	15.2%
	647	12.5%
2	626	12.1%
3	531	10.3%
4	461	8.9%
5	426	8.3%
6	305	5.9%
7	286	5.5%
8	269	5.2%
0	231	4.5%
Other values (13)	592	11.5%

Latin

Value	Count	Frequency (%)
G	3	17.6%
S	3	17.6%
B	2	11.8%
D	2	11.8%
m	2	11.8%
K	1	5.9%
T	1	5.9%
I	1	5.9%
M	1	5.9%
L	1	5.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	12446	70.6%
ASCII	5149	29.2%
Arrows	22	0.1%
Math Operators	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
길	1987	16.0%
로	1923	15.5%
번	743	6.0%
대	377	3.0%
천	242	1.9%
동	233	1.9%
중	215	1.7%
양	169	1.4%
앙	144	1.2%
남	133	1.1%
Other values (364)	6280	50.5%

ASCII

Value	Count	Frequency (%)
1	782	15.2%
	647	12.6%
2	626	12.2%
3	531	10.3%
4	461	9.0%
5	426	8.3%
6	305	5.9%
7	286	5.6%
8	269	5.2%
0	231	4.5%
Other values (19)	585	11.4%

Arrows

Value	Count	Frequency (%)
→	20	90.9%
⇒	2	9.1%

Math Operators

Value	Count	Frequency (%)
∼	1	100.0%

None

Value	Count	Frequency (%)
·	1	100.0%

지정사유
Categorical

HIGH CORRELATION IMBALANCE

Distinct	32
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

<NA>	1871
차량소통 촉진 및 보행자 안전	166
통행원활	98
보행안전	63
교통불편 해소	55
Other values (27)	228

Length

Max length	16
Median length	4
Mean length	5.0963321
Min length	4

Unique

Unique	5 ?
Unique (%)	0.2%

Sample

1st row	차량소통 촉진 및 보행자 안전
2nd row	차량소통 촉진 및 보행자 안전
3rd row	차량소통 촉진 및 보행자 안전
4th row	차량소통 촉진 및 보행자 안전
5th row	차량소통 촉진 및 보행자 안전

Common Values

Value	Count	Frequency (%)
<NA>	1871	75.4%
차량소통 촉진 및 보행자 안전	166	6.7%
통행원활	98	4.0%
보행안전	63	2.5%
교통불편 해소	55	2.2%
교행불가	43	1.7%
교통안전	27	1.1%
주민건의	24	1.0%
혼잡지역	19	0.8%
원활한 교통흐름 및 보행 안전	17	0.7%
Other values (22)	98	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	1871	55.9%
및	185	5.5%
안전	183	5.5%
보행자	166	5.0%
차량소통	166	5.0%
촉진	166	5.0%
통행원활	98	2.9%
보행안전	63	1.9%
교통불편	55	1.6%
해소	55	1.6%
Other values (40)	340	10.2%

지정연도
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	29
Distinct (%)	4.9%
Missing	1892
Missing (%)	76.3%
Infinite	0
Infinite (%)	0.0%
Mean	2006.8964

Minimum	1990
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	1990
5-th percentile	1998
Q1	1999
median	2004
Q3	2016
95-th percentile	2020
Maximum	2022
Range	32
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	8.2572049
Coefficient of variation (CV)	0.0041144151
Kurtosis	-1.4515635
Mean	2006.8964
Median Absolute Deviation (MAD)	6
Skewness	0.26848804
Sum	1182062
Variance	68.181433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1998	110	4.4%
2001	65	2.6%
2016	65	2.6%
1999	41	1.7%
2002	39	1.6%
2010	29	1.2%
2017	22	0.9%
2018	22	0.9%
2011	20	0.8%
2013	17	0.7%
Other values (19)	159	6.4%
(Missing)	1892	76.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1990	2	0.1%
1995	5	0.2%
1996	9	0.4%
1997	4	0.2%
1998	110	4.4%
1999	41	1.7%
2000	12	0.5%
2001	65	2.6%
2002	39	1.6%
2003	3	0.1%

Value	Count	Frequency (%)
2022	12	0.5%
2021	12	0.5%
2020	12	0.5%
2019	11	0.4%
2018	22	0.9%
2017	22	0.9%
2016	65	2.6%
2015	14	0.6%
2014	10	0.4%
2013	17	0.7%

도로폭
Real number (ℝ)

HIGH CORRELATION

Distinct	77
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6578799

Minimum	2
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4
median	5.5
Q3	6
95-th percentile	9
Maximum	32
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.3299391
Coefficient of variation (CV)	0.41180427
Kurtosis	18.052937
Mean	5.6578799
Median Absolute Deviation (MAD)	1.5
Skewness	2.5852824
Sum	14037.2
Variance	5.4286163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.0	601	24.2%
3.0	378	15.2%
4.0	342	13.8%
5.0	265	10.7%
8.0	236	9.5%
5.5	126	5.1%
7.0	111	4.5%
10.0	53	2.1%
9.0	50	2.0%
7.5	32	1.3%
Other values (67)	287	11.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.0	17	0.7%
2.5	1	< 0.1%
2.8	1	< 0.1%
3.0	378	15.2%
3.2	4	0.2%
3.3	2	0.1%
3.4	2	0.1%
3.5	32	1.3%
3.7	3	0.1%
3.8	6	0.2%

Value	Count	Frequency (%)
32.0	2	0.1%
24.0	1	< 0.1%
22.0	1	< 0.1%
19.0	3	0.1%
18.0	1	< 0.1%
17.0	1	< 0.1%
16.0	4	0.2%
15.5	1	< 0.1%
15.0	5	0.2%
14.6	1	< 0.1%

도로연장
Real number (ℝ)

ZEROS

Distinct	476
Distinct (%)	19.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	209.88993

Minimum	0
Maximum	5480
Zeros	65
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1.2
Q1	95
median	150
Q3	250
95-th percentile	550
Maximum	5480
Range	5480
Interquartile range (IQR)	155

Descriptive statistics

Standard deviation	243.45314
Coefficient of variation (CV)	1.1599086
Kurtosis	175.27525
Mean	209.88993
Median Absolute Deviation (MAD)	70
Skewness	9.4928144
Sum	520736.91
Variance	59269.432
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200.0	81	3.3%
100.0	68	2.7%
130.0	66	2.7%
0.0	65	2.6%
120.0	61	2.5%
110.0	59	2.4%
150.0	54	2.2%
80.0	43	1.7%
90.0	41	1.7%
160.0	40	1.6%
Other values (466)	1903	76.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	65	2.6%
0.03	2	0.1%
0.05	1	< 0.1%
0.06	2	0.1%
0.07	2	0.1%
0.08	2	0.1%
0.09	2	0.1%
0.1	6	0.2%
0.11	2	0.1%
0.12	1	< 0.1%

Value	Count	Frequency (%)
5480.0	1	< 0.1%
5370.0	1	< 0.1%
2000.0	1	< 0.1%
1920.0	1	< 0.1%
1850.0	1	< 0.1%
1800.0	2	0.1%
1700.0	1	< 0.1%
1600.0	1	< 0.1%
1400.0	2	0.1%
1180.0	1	< 0.1%

도로차로수
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

1	2370
2	90
3	10
4	9
5	2

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	2370	95.5%
2	90	3.6%
3	10	0.4%
4	9	0.4%
5	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2370	95.5%
2	90	3.6%
3	10	0.4%
4	9	0.4%
5	2	0.1%

보차분리여부
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 KiB

False	1960
True	521

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	1960	79.0%
True	521	21.0%

시작점위도
Real number (ℝ)

HIGH CORRELATION

Distinct	2291
Distinct (%)	92.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.798501

Minimum	33.242441
Maximum	38.277284
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	33.242441
5-th percentile	34.845057
Q1	36.024586
median	37.378549
Q3	37.531103
95-th percentile	37.741242
Maximum	38.277284
Range	5.034843
Interquartile range (IQR)	1.5065174

Descriptive statistics

Standard deviation	1.052442
Coefficient of variation (CV)	0.028600132
Kurtosis	1.2138732
Mean	36.798501
Median Absolute Deviation (MAD)	0.184041
Skewness	-1.3691939
Sum	91297.08
Variance	1.1076341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34.97654572	41	1.7%
37.177291	30	1.2%
34.738001	4	0.2%
34.755001	3	0.1%
37.5641741	3	0.1%
34.743001	3	0.1%
34.737001	3	0.1%
35.966751	2	0.1%
36.129601	2	0.1%
35.981819	2	0.1%
Other values (2281)	2388	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.242441	1	< 0.1%
33.2433308	1	< 0.1%
33.244272	1	< 0.1%
33.245212	1	< 0.1%
33.246671	1	< 0.1%
33.247258	1	< 0.1%
33.247341	1	< 0.1%
33.247587	1	< 0.1%
33.247675	1	< 0.1%
33.2477403	1	< 0.1%

Value	Count	Frequency (%)
38.277284	1	< 0.1%
38.123307	2	0.1%
38.091459	1	< 0.1%
38.025521	1	< 0.1%
37.940377	1	< 0.1%
37.926258	1	< 0.1%
37.918321	1	< 0.1%
37.916387	1	< 0.1%
37.912962	1	< 0.1%
37.905892	1	< 0.1%

시작점경도
Real number (ℝ)

HIGH CORRELATION

Distinct	2298
Distinct (%)	92.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.45679

Minimum	126.28928
Maximum	129.44639
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	126.28928
5-th percentile	126.71173
Q1	126.92451
median	127.04314
Q3	127.72871
95-th percentile	129.36003
Maximum	129.44639
Range	3.1571103
Interquartile range (IQR)	0.804203

Descriptive statistics

Standard deviation	0.85816082
Coefficient of variation (CV)	0.006732955
Kurtosis	0.13370718
Mean	127.45679
Median Absolute Deviation (MAD)	0.183397
Skewness	1.263959
Sum	316220.29
Variance	0.73643999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.4042148	41	1.7%
128.985502	30	1.2%
126.714855	4	0.2%
127.733001	4	0.2%
127.673001	3	0.1%
127.520733	2	0.1%
126.720048	2	0.1%
126.720201	2	0.1%
128.310157	2	0.1%
127.4867611	2	0.1%
Other values (2288)	2389	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.2892807	1	< 0.1%
126.402001	2	0.1%
126.422126	1	< 0.1%
126.422644	1	< 0.1%
126.423498	1	< 0.1%
126.424391	1	< 0.1%
126.424622	1	< 0.1%
126.426871	1	< 0.1%
126.430606	1	< 0.1%
126.448992	1	< 0.1%

Value	Count	Frequency (%)
129.446391	1	< 0.1%
129.4020633	1	< 0.1%
129.401271	2	0.1%
129.401251	1	< 0.1%
129.401211	1	< 0.1%
129.398851	1	< 0.1%
129.398411	1	< 0.1%
129.3953398	1	< 0.1%
129.393895	1	< 0.1%
129.3817043	1	< 0.1%

종료점위도
Real number (ℝ)

HIGH CORRELATION

Distinct	2288
Distinct (%)	92.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.795814

Minimum	33.242441
Maximum	38.122659
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	33.242441
5-th percentile	34.844447
Q1	36.023999
median	37.374541
Q3	37.531215
95-th percentile	37.74129
Maximum	38.122659
Range	4.880218
Interquartile range (IQR)	1.5072157

Descriptive statistics

Standard deviation	1.0542163
Coefficient of variation (CV)	0.028650442
Kurtosis	1.1906561
Mean	36.795814
Median Absolute Deviation (MAD)	0.188776
Skewness	-1.3643369
Sum	91290.413
Variance	1.1113721
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34.97654572	46	1.9%
37.173581	30	1.2%
34.738001	5	0.2%
34.747001	3	0.1%
34.743001	3	0.1%
34.737001	3	0.1%
37.881993	2	0.1%
37.880276	2	0.1%
37.878866	2	0.1%
37.5636986	2	0.1%
Other values (2278)	2383	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.242441	1	< 0.1%
33.2433308	1	< 0.1%
33.243703	1	< 0.1%
33.245022	1	< 0.1%
33.245391	1	< 0.1%
33.245727	1	< 0.1%
33.246341	1	< 0.1%
33.246458	1	< 0.1%
33.247514	1	< 0.1%
33.247593	1	< 0.1%

Value	Count	Frequency (%)
38.122659	2	0.1%
38.090745	1	< 0.1%
38.027015	1	< 0.1%
38.025324	1	< 0.1%
37.940479	1	< 0.1%
37.924582	1	< 0.1%
37.918321	1	< 0.1%
37.916878	1	< 0.1%
37.912937	1	< 0.1%
37.906153	1	< 0.1%

종료점경도
Real number (ℝ)

HIGH CORRELATION

Distinct	2293
Distinct (%)	92.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.46128

Minimum	126.29016
Maximum	138.72716
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	126.29016
5-th percentile	126.71348
Q1	126.92527
median	127.0433
Q3	127.72904
95-th percentile	129.35987
Maximum	138.72716
Range	12.437002
Interquartile range (IQR)	0.803767

Descriptive statistics

Standard deviation	0.88689444
Coefficient of variation (CV)	0.0069581477
Kurtosis	10.245365
Mean	127.46128
Median Absolute Deviation (MAD)	0.1827315
Skewness	1.9579737
Sum	316231.44
Variance	0.78658174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.4042148	46	1.9%
128.990448	30	1.2%
127.673001	3	0.1%
127.732001	3	0.1%
129.163241	2	0.1%
127.4857197	2	0.1%
126.701544	2	0.1%
126.695567	2	0.1%
126.701795	2	0.1%
129.153437	2	0.1%
Other values (2283)	2387	96.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.2901563	1	< 0.1%
126.402001	1	< 0.1%
126.422158	1	< 0.1%
126.422682	1	< 0.1%
126.4234908	1	< 0.1%
126.424618	1	< 0.1%
126.425074	1	< 0.1%
126.427016	1	< 0.1%
126.429994	1	< 0.1%
126.448783	1	< 0.1%

Value	Count	Frequency (%)
138.727158	1	< 0.1%
129.446771	1	< 0.1%
129.4052939	1	< 0.1%
129.402391	1	< 0.1%
129.402381	1	< 0.1%
129.402311	1	< 0.1%
129.399821	1	< 0.1%
129.399321	1	< 0.1%
129.397731	1	< 0.1%
129.3953683	1	< 0.1%

도로안내표지일련번호
Text

MISSING

Distinct	72
Distinct (%)	97.3%
Missing	2407
Missing (%)	97.0%
Memory size	19.5 KiB

Length

Max length	23
Median length	16.5
Mean length	12.756757
Min length	1

Characters and Unicode

Total characters	944
Distinct characters	94
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	70 ?
Unique (%)	94.6%

Sample

1st row	YC-6-중앙동2길-하-360
2nd row	YC-5-쇠늘안길-라-235
3rd row	YC-5-주남3길-하-176
4th row	YC-4-완산10길-가-122
5th row	YC-6-시장4길-나-139

Value	Count	Frequency (%)
소로	10	11.5%
nr-6-예울마루로-하-37	2	2.3%
nr-6-문수3길-하	2	2.3%
2	1	1.1%
nr-6-여문2로-하-77	1	1.1%
nr-6-진남상가길-하-37	1	1.1%
nr-6-충무로-하-51	1	1.1%
nr-6-진남로-하-88	1	1.1%
nr-6-오림1길-하-1	1	1.1%
nr-6-무선2길-하-28	1	1.1%
Other values (66)	66	75.9%

Most occurring characters

Value	Count	Frequency (%)
-	255	27.0%
6	67	7.1%
하	49	5.2%
N	46	4.9%
R	46	4.9%
1	42	4.4%
2	39	4.1%
길	39	4.1%
로	35	3.7%
3	26	2.8%
Other values (84)	300	31.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	301	31.9%
Dash Punctuation	255	27.0%
Decimal Number	251	26.6%
Uppercase Letter	122	12.9%
Space Separator	13	1.4%
Math Symbol	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
하	49	16.3%
길	39	13.0%
로	35	11.6%
소	12	4.0%
문	9	3.0%
무	7	2.3%
수	6	2.0%
충	6	2.0%
동	6	2.0%
산	6	2.0%
Other values (65)	126	41.9%

Decimal Number

Value	Count	Frequency (%)
6	67	26.7%
1	42	16.7%
2	39	15.5%
3	26	10.4%
4	19	7.6%
5	19	7.6%
7	17	6.8%
8	9	3.6%
9	7	2.8%
0	6	2.4%

Uppercase Letter

Value	Count	Frequency (%)
N	46	37.7%
R	46	37.7%
Y	13	10.7%
C	13	10.7%
G	2	1.6%
M	2	1.6%

Dash Punctuation

Value	Count	Frequency (%)
-	255	100.0%

Space Separator

Value	Count	Frequency (%)
	13	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	521	55.2%
Hangul	301	31.9%
Latin	122	12.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
하	49	16.3%
길	39	13.0%
로	35	11.6%
소	12	4.0%
문	9	3.0%
무	7	2.3%
수	6	2.0%
충	6	2.0%
동	6	2.0%
산	6	2.0%
Other values (65)	126	41.9%

Common

Value	Count	Frequency (%)
-	255	48.9%
6	67	12.9%
1	42	8.1%
2	39	7.5%
3	26	5.0%
4	19	3.6%
5	19	3.6%
7	17	3.3%
	13	2.5%
8	9	1.7%
Other values (3)	15	2.9%

Latin

Value	Count	Frequency (%)
N	46	37.7%
R	46	37.7%
Y	13	10.7%
C	13	10.7%
G	2	1.6%
M	2	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	643	68.1%
Hangul	301	31.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	255	39.7%
6	67	10.4%
N	46	7.2%
R	46	7.2%
1	42	6.5%
2	39	6.1%
3	26	4.0%
4	19	3.0%
5	19	3.0%
7	17	2.6%
Other values (9)	67	10.4%

Hangul

Value	Count	Frequency (%)
하	49	16.3%
길	39	13.0%
로	35	11.6%
소	12	4.0%
문	9	3.0%
무	7	2.3%
수	6	2.0%
충	6	2.0%
동	6	2.0%
산	6	2.0%
Other values (65)	126	41.9%

관리기관명
Text

Distinct	82
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Length

Max length	18
Median length	17
Mean length	9.9226119
Min length	5

Characters and Unicode

Total characters	24618
Distinct characters	107
Distinct categories	5 ?
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	6 ?
Unique (%)	0.2%

Sample

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

Value	Count	Frequency (%)
서울특별시	767	14.3%
경기도	492	9.2%
경상북도	331	6.2%
포항시	235	4.4%
안양시청	222	4.1%
광진구	184	3.4%
서초구청	166	3.1%
강서구	146	2.7%
경상남도	143	2.7%
안산시	115	2.1%
Other values (92)	2574	47.9%

Most occurring characters

Value	Count	Frequency (%)
	2894	11.8%
시	2293	9.3%
도	1617	6.6%
청	1440	5.8%
서	1333	5.4%
구	1099	4.5%
경	1068	4.3%
별	921	3.7%
특	921	3.7%
울	774	3.1%
Other values (97)	10258	41.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	21672	88.0%
Space Separator	2894	11.8%
Math Symbol	32	0.1%
Close Punctuation	10	< 0.1%
Open Punctuation	10	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	2293	10.6%
도	1617	7.5%
청	1440	6.6%
서	1333	6.2%
구	1099	5.1%
경	1068	4.9%
별	921	4.2%
특	921	4.2%
울	774	3.6%
상	524	2.4%
Other values (93)	9682	44.7%

Space Separator

Value	Count	Frequency (%)
	2894	100.0%

Math Symbol

Value	Count	Frequency (%)
+	32	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	21672	88.0%
Common	2946	12.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	2293	10.6%
도	1617	7.5%
청	1440	6.6%
서	1333	6.2%
구	1099	5.1%
경	1068	4.9%
별	921	4.2%
특	921	4.2%
울	774	3.6%
상	524	2.4%
Other values (93)	9682	44.7%

Common

Value	Count	Frequency (%)
	2894	98.2%
+	32	1.1%
)	10	0.3%
(	10	0.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	21672	88.0%
ASCII	2946	12.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2894	98.2%
+	32	1.1%
)	10	0.3%
(	10	0.3%

Hangul

Value	Count	Frequency (%)
시	2293	10.6%
도	1617	7.5%
청	1440	6.6%
서	1333	6.2%
구	1099	5.1%
경	1068	4.9%
별	921	4.2%
특	921	4.2%
울	774	3.6%
상	524	2.4%
Other values (93)	9682	44.7%

관리기관전화번호
Text

Distinct	89
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Length

Max length	13
Median length	12
Mean length	11.96574
Min length	11

Characters and Unicode

Total characters	29687
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	15 ?
Unique (%)	0.6%

Sample

1st row	02-2155-7236
2nd row	02-2155-7236
3rd row	02-2155-7236
4th row	02-2155-7236
5th row	02-2155-7236

Value	Count	Frequency (%)
054-270-3634	235	9.5%
031-8045-5328	222	8.9%
02-450-7923	184	7.4%
02-2155-7236	166	6.7%
02-2600-4136	146	5.9%
02-2199-7753	103	4.2%
02-879-6861	97	3.9%
041-521-5886	86	3.5%
02-330-1797	71	2.9%
031-481-6295	65	2.6%
Other values (79)	1106	44.6%

Most occurring characters

Value	Count	Frequency (%)
-	4962	16.7%
0	4157	14.0%
3	3442	11.6%
2	3031	10.2%
5	2972	10.0%
4	2541	8.6%
6	2136	7.2%
1	2127	7.2%
8	1559	5.3%
7	1498	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24725	83.3%
Dash Punctuation	4962	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4157	16.8%
3	3442	13.9%
2	3031	12.3%
5	2972	12.0%
4	2541	10.3%
6	2136	8.6%
1	2127	8.6%
8	1559	6.3%
7	1498	6.1%
9	1262	5.1%

Dash Punctuation

Value	Count	Frequency (%)
-	4962	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29687	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	4962	16.7%
0	4157	14.0%
3	3442	11.6%
2	3031	10.2%
5	2972	10.0%
4	2541	8.6%
6	2136	7.2%
1	2127	7.2%
8	1559	5.3%
7	1498	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	4962	16.7%
0	4157	14.0%
3	3442	11.6%
2	3031	10.2%
5	2972	10.0%
4	2541	8.6%
6	2136	7.2%
1	2127	7.2%
8	1559	5.3%
7	1498	5.0%

데이터기준일자
Date

Distinct	71
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Minimum	2022-05-23 00:00:00
Maximum	2024-03-05 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

HIGH CORRELATION

Distinct	81
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4085198.7

Minimum	3020000
Maximum	6520000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.9 KiB

Quantile statistics

Minimum	3020000
5-th percentile	3040000
Q1	3210000
median	3930000
Q3	4820000
95-th percentile	5370000
Maximum	6520000
Range	3500000
Interquartile range (IQR)	1610000

Descriptive statistics

Standard deviation	863371.25
Coefficient of variation (CV)	0.21134131
Kurtosis	-0.4178758
Mean	4085198.7
Median Absolute Deviation (MAD)	741000
Skewness	0.55528999
Sum	1.0135378 × 10¹⁰
Variance	7.4540991 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5020000	235	9.5%
3830000	222	8.9%
3040000	184	7.4%
3210000	166	6.7%
3150000	146	5.9%
3930000	115	4.6%
3020000	103	4.2%
3200000	97	3.9%
4490000	86	3.5%
3740000	77	3.1%
Other values (71)	1050	42.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3020000	103	4.2%
3040000	184	7.4%
3120000	71	2.9%
3150000	146	5.9%
3200000	97	3.9%
3210000	166	6.7%
3490000	19	0.8%
3530000	10	0.4%
3550000	22	0.9%
3600000	19	0.8%

Value	Count	Frequency (%)
6520000	55	2.2%
5700000	6	0.2%
5600000	6	0.2%
5590000	10	0.4%
5570000	11	0.4%
5480000	1	< 0.1%
5470000	14	0.6%
5430000	5	0.2%
5380000	11	0.4%
5370000	57	2.3%

제공기관명
Text

Distinct	81
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	19.5 KiB

Length

Max length	12
Median length	11
Mean length	8.3280935
Min length	7

Characters and Unicode

Total characters	20662
Distinct characters	87
Distinct categories	2 ?
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	8 ?
Unique (%)	0.3%

Sample

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

Value	Count	Frequency (%)
서울특별시	767	15.5%
경기도	607	12.2%
경상북도	331	6.7%
포항시	235	4.7%
안양시	222	4.5%
광진구	184	3.7%
서초구	166	3.3%
경상남도	154	3.1%
강서구	146	2.9%
전라남도	115	2.3%
Other values (74)	2035	41.0%

Most occurring characters

Value	Count	Frequency (%)
	2481	12.0%
시	2362	11.4%
도	1624	7.9%
서	1233	6.0%
경	1092	5.3%
별	930	4.5%
특	930	4.5%
구	907	4.4%
울	774	3.7%
기	607	2.9%
Other values (77)	7722	37.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	18181	88.0%
Space Separator	2481	12.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	2362	13.0%
도	1624	8.9%
서	1233	6.8%
경	1092	6.0%
별	930	5.1%
특	930	5.1%
구	907	5.0%
울	774	4.3%
기	607	3.3%
상	485	2.7%
Other values (76)	7237	39.8%

Space Separator

Value	Count	Frequency (%)
	2481	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	18181	88.0%
Common	2481	12.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	2362	13.0%
도	1624	8.9%
서	1233	6.8%
경	1092	6.0%
별	930	5.1%
특	930	5.1%
구	907	5.0%
울	774	4.3%
기	607	3.3%
상	485	2.7%
Other values (76)	7237	39.8%

Common

Value	Count	Frequency (%)
	2481	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	18181	88.0%
ASCII	2481	12.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2481	100.0%

Hangul

Value	Count	Frequency (%)
시	2362	13.0%
도	1624	8.9%
서	1233	6.8%
경	1092	6.0%
별	930	5.1%
특	930	5.1%
구	907	5.0%
울	774	4.3%
기	607	3.3%
상	485	2.7%
Other values (76)	7237	39.8%

Heatmap
Table

	시도명	시군구명	지정사유	지정연도	도로폭	도로연장	도로차로수	보차분리여부	시작점위도	시작점경도	종료점위도	종료점경도	도로안내표지일련번호	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명
시도명	1.000	0.998	0.972	0.711	0.477	0.244	0.381	0.401	0.917	0.871	0.917	0.820	1.000	1.000	0.998	0.999	0.979	1.000
시군구명	0.998	1.000	0.993	0.878	0.851	0.515	0.595	0.625	0.996	1.000	0.997	0.955	1.000	1.000	1.000	1.000	1.000	1.000
지정사유	0.972	0.993	1.000	0.839	0.832	0.626	0.495	0.602	0.968	0.969	0.959	0.929	1.000	0.991	0.993	0.988	0.983	0.991
지정연도	0.711	0.878	0.839	1.000	0.435	0.159	0.203	0.285	0.739	0.672	0.565	0.747	1.000	0.883	0.880	0.880	0.759	0.883
도로폭	0.477	0.851	0.832	0.435	1.000	0.282	0.708	0.325	0.435	0.378	0.398	0.144	1.000	0.853	0.853	0.848	0.366	0.863
도로연장	0.244	0.515	0.626	0.159	0.282	1.000	0.576	0.105	0.138	0.198	0.128	0.043	1.000	0.487	0.600	0.489	0.120	0.488
도로차로수	0.381	0.595	0.495	0.203	0.708	0.576	1.000	0.241	0.179	0.156	0.158	0.000	1.000	0.574	0.577	0.570	0.267	0.571
보차분리여부	0.401	0.625	0.602	0.285	0.325	0.105	0.241	1.000	0.246	0.301	0.234	0.250	1.000	0.633	0.622	0.591	0.320	0.606
시작점위도	0.917	0.996	0.968	0.739	0.435	0.138	0.179	0.246	1.000	0.807	0.990	0.675	1.000	0.997	0.997	0.994	0.943	0.999
시작점경도	0.871	1.000	0.969	0.672	0.378	0.198	0.156	0.301	0.807	1.000	0.782	0.918	1.000	0.998	0.999	0.997	0.813	0.998
종료점위도	0.917	0.997	0.959	0.565	0.398	0.128	0.158	0.234	0.990	0.782	1.000	0.670	1.000	0.998	0.998	0.996	0.938	0.999
종료점경도	0.820	0.955	0.929	0.747	0.144	0.043	0.000	0.250	0.675	0.918	0.670	1.000	1.000	0.957	0.957	0.952	0.725	0.956
도로안내표지일련번호	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
관리기관명	1.000	1.000	0.991	0.883	0.853	0.487	0.574	0.633	0.997	0.998	0.998	0.957	1.000	1.000	1.000	1.000	1.000	1.000
관리기관전화번호	0.998	1.000	0.993	0.880	0.853	0.600	0.577	0.622	0.997	0.999	0.998	0.957	1.000	1.000	1.000	1.000	1.000	1.000
데이터기준일자	0.999	1.000	0.988	0.880	0.848	0.489	0.570	0.591	0.994	0.997	0.996	0.952	1.000	1.000	1.000	1.000	0.998	1.000
제공기관코드	0.979	1.000	0.983	0.759	0.366	0.120	0.267	0.320	0.943	0.813	0.938	0.725	1.000	1.000	1.000	0.998	1.000	1.000
제공기관명	1.000	1.000	0.991	0.883	0.863	0.488	0.571	0.606	0.999	0.998	0.999	0.956	1.000	1.000	1.000	1.000	1.000	1.000

Heatmap
Table

	보차분리여부	시도명	도로차로수	지정사유
보차분리여부	1.000	0.314	0.295	0.505
시도명	0.314	1.000	0.210	0.786
도로차로수	0.295	0.210	1.000	0.253
지정사유	0.505	0.786	0.253	1.000

Heatmap
Table

	지정연도	도로폭	도로연장	시작점위도	시작점경도	종료점위도	종료점경도	제공기관코드	시도명	지정사유	도로차로수	보차분리여부
지정연도	1.000	0.067	0.153	-0.374	0.322	-0.376	0.326	0.569	0.376	0.466	0.124	0.281
도로폭	0.067	1.000	0.132	-0.046	-0.080	-0.045	-0.080	0.036	0.203	0.499	0.549	0.289
도로연장	0.153	0.132	1.000	0.050	-0.118	0.051	-0.117	-0.055	0.129	0.346	0.247	0.128
시작점위도	-0.374	-0.046	0.050	1.000	-0.318	0.998	-0.320	-0.780	0.718	0.809	0.104	0.245
시작점경도	0.322	-0.080	-0.118	-0.318	1.000	-0.320	0.999	0.488	0.598	0.810	0.065	0.231
종료점위도	-0.376	-0.045	0.051	0.998	-0.320	1.000	-0.321	-0.780	0.717	0.773	0.091	0.234
종료점경도	0.326	-0.080	-0.117	-0.320	0.999	-0.321	1.000	0.490	0.626	0.782	0.000	0.166
제공기관코드	0.569	0.036	-0.055	-0.780	0.488	-0.780	0.490	1.000	0.915	0.874	0.152	0.315
시도명	0.376	0.203	0.129	0.718	0.598	0.717	0.626	0.915	1.000	0.786	0.210	0.314
지정사유	0.466	0.499	0.346	0.809	0.810	0.773	0.782	0.874	0.786	1.000	0.253	0.505
도로차로수	0.124	0.549	0.247	0.104	0.065	0.091	0.000	0.152	0.210	0.253	1.000	0.295
보차분리여부	0.281	0.289	0.128	0.245	0.231	0.234	0.166	0.315	0.314	0.505	0.295	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

	시도명	시군구명	도로명	지정사유	지정연도	도로폭	도로연장	도로차로수	보차분리여부	시작점위도	시작점경도	종료점위도	종료점경도	도로안내표지일련번호	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명
0	서울특별시	서초구	남부순환로335길	차량소통 촉진 및 보행자 안전	1999	4.5	225.0	1	N	37.484398	127.021934	37.483149	127.020423	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
1	서울특별시	서초구	서초중앙로2길	차량소통 촉진 및 보행자 안전	1998	3.0	60.0	1	N	37.484885	127.021662	37.484909	127.021092	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
2	서울특별시	서초구	남부순환로337가길	차량소통 촉진 및 보행자 안전	1999	3.2	80.0	1	N	37.483741	127.022368	37.483606	127.021609	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
3	서울특별시	서초구	남부순환로337가길	차량소통 촉진 및 보행자 안전	1999	3.8	120.0	1	N	37.484111	127.022853	37.484127	127.023691	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
4	서울특별시	서초구	남부순환로337가길	차량소통 촉진 및 보행자 안전	1999	3.0	37.0	1	N	37.484898	127.023943	37.484774	127.024219	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
5	서울특별시	서초구	남부순환로339길	차량소통 촉진 및 보행자 안전	1998	3.3	100.0	1	N	37.486174	127.022442	37.485908	127.021571	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
6	서울특별시	서초구	사임당로18길	차량소통 촉진 및 보행자 안전	2005	7.3	200.0	1	N	37.487981	127.019415	37.489391	127.018785	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
7	서울특별시	서초구	남부순환로	차량소통 촉진 및 보행자 안전	1998	3.3	50.0	1	N	37.483778	127.024285	37.483949	127.023569	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
8	서울특별시	서초구	효령로79길	차량소통 촉진 및 보행자 안전	1999	3.8	335.0	1	N	37.489911	127.030141	37.492488	127.028913	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구
9	서울특별시	서초구	강남대로47길	차량소통 촉진 및 보행자 안전	2000	5.3	285.0	1	N	37.488548	127.029999	37.488122	127.028631	<NA>	서울특별시 서초구청	02-2155-7236	2023-08-25	3210000	서울특별시 서초구

	시도명	시군구명	도로명	지정사유	지정연도	도로폭	도로연장	도로차로수	보차분리여부	시작점위도	시작점경도	종료점위도	종료점경도	도로안내표지일련번호	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명
2471	경상북도	울진군	월변5길	<NA>	<NA>	4.0	50.0	1	N	36.988641	129.398851	36.988531	129.399321	<NA>	경상북도 울진경찰서	054-785-0342	2023-12-18	5250000	경상북도 울진군
2472	경상북도	울진군	울진중앙로	<NA>	<NA>	4.0	55.0	1	N	36.987851	129.398411	36.988001	129.397731	<NA>	경상북도 울진경찰서	054-785-0342	2023-12-18	5250000	경상북도 울진군
2473	경상북도	울진군	후포로	<NA>	<NA>	4.0	100.0	1	N	36.679031	129.446391	36.678131	129.446771	<NA>	경상북도 울진경찰서	054-785-0342	2023-12-18	5250000	경상북도 울진군
2474	경상남도	통영시	동달안길 8	<NA>	<NA>	4.4	380.0	1	N	34.894386	128.457061	34.897556	128.458033	<NA>	경상남도 통영시 교통과	055-650-5333	2024-03-05	5330000	경상남도 통영시
2475	전라북도	고창군	천변북로	<NA>	2000	5.0	800.0	1	Y	35.434289	126.695575	35.434104	126.701795	<NA>	전라북도 고창군청	063-560-2566	2023-08-02	4781000	전북특별자치도 고창군
2476	전라북도	고창군	천변남로	<NA>	2000	5.0	800.0	1	Y	35.433769	126.701747	35.433843	126.695567	<NA>	전라북도 고창군청	063-560-2566	2023-08-02	4781000	전북특별자치도 고창군
2477	전라북도	고창군	동리로	<NA>	2014	5.0	800.0	1	N	35.433198	126.695536	35.432928	126.701544	<NA>	전라북도 고창군청	063-560-2566	2023-08-02	4781000	전북특별자치도 고창군
2478	충청남도	논산시	중앙로480번길	<NA>	<NA>	7.0	476.0	2	N	36.206266	127.088844	36.205852	127.083781	<NA>	충청남도 논산시청	041-746-6257	2023-12-22	4540000	충청남도 논산시
2479	충청남도	논산시	해월로198번길	<NA>	<NA>	5.0	230.0	1	N	36.205991	127.088569	36.204438	127.089847	<NA>	충청남도 논산시청	041-746-6257	2023-12-22	4540000	충청남도 논산시
2480	경상북도	울진군	읍내6길	<NA>	<NA>	4.0	126.0	1	N	36.993581	129.401271	36.993221	129.399821	<NA>	경상북도 울진경찰서	054-785-0342	2023-12-18	5250000	경상북도 울진군

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

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

Other Punctuation

Math Symbol

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Lowercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Arrows

Math Operators

None

Common Values

Length

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Uppercase Letter

Dash Punctuation

Space Separator

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Math Symbol

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII