gimi9 Pandas Profiling

Dataset statistics

Number of variables	24
Number of observations	10000
Missing cells	17728
Missing cells (%)	7.4%
Duplicate rows	54
Duplicate rows (%)	0.5%
Total size in memory	1.9 MiB
Average record size in memory	204.0 B

Variable types

Text	9
Categorical	3
Numeric	7
Boolean	3
DateTime	2

Dataset

Description	- 공공데이터 제공 표준 기준, 지자체에서 관리하는 과속방지턱정보로 과속방지턱형태, 재료, 주소 등의 항목을 제공<br/>- 링크된 페이지의 데이터기준일자 상단 EXCEL버튼(초록색)을 클릭하여 데이터 다운로드 가능 『도로법』에 따른 도로부속물로서 차량의 속도를 제어하기 위해 설치하는 과속방지턱에 대한 정보
Author	행정안전부
URL	https://www.data.go.kr/data/15028195/standard.do

Alerts

Dataset has 54 (0.5%) duplicate rows	Duplicates
`과속방지턱형태구분` is highly imbalanced (57.2%)	Imbalance
`규격여부` is highly imbalanced (58.5%)	Imbalance
`과속방지턱관리번호` has 1604 (16.0%) missing values	Missing
`소재지도로명주소` has 6029 (60.3%) missing values	Missing
`소재지지번주소` has 1376 (13.8%) missing values	Missing
`위도` has 155 (1.6%) missing values	Missing
`경도` has 159 (1.6%) missing values	Missing
`과속방지턱설치연도` has 8405 (84.0%) missing values	Missing
`과속방지턱높이` is highly skewed (γ1 = 29.37774669)	Skewed
`과속방지턱높이` has 1070 (10.7%) zeros	Zeros

Reproduction

Analysis started	2023-12-12 03:16:22.969131
Analysis finished	2023-12-12 03:16:25.222503
Duration	2.25 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

과속방지턱관리번호
Text

MISSING

Distinct	3179
Distinct (%)	37.9%
Missing	1604
Missing (%)	16.0%
Memory size	156.2 KiB

Length

Max length	20
Median length	13
Mean length	4.487494
Min length	1

Characters and Unicode

Total characters	37677
Distinct characters	62
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	2400 ?
Unique (%)	28.6%

Sample

1st row	82000483
2nd row	192
3rd row	13422001
4th row	359
5th row	41225003

Value	Count	Frequency (%)
정읍시	246	2.8%
시내	196	2.2%
12	31	0.4%
11	30	0.3%
2	30	0.3%
	28	0.3%
14	28	0.3%
4	27	0.3%
30	27	0.3%
31	26	0.3%
Other values (2975)	8169	92.4%

Most occurring characters

Value	Count	Frequency (%)
0	7430	19.7%
2	4266	11.3%
1	4040	10.7%
3	3108	8.2%
4	2691	7.1%
8	2204	5.8%
6	2113	5.6%
-	1974	5.2%
5	1889	5.0%
7	1759	4.7%
Other values (52)	6203	16.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	31173	82.7%
Other Letter	4064	10.8%
Dash Punctuation	1974	5.2%
Space Separator	442	1.2%
Lowercase Letter	16	< 0.1%
Uppercase Letter	8	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	442	10.9%
천	322	7.9%
정	267	6.6%
지	246	6.1%
턱	246	6.1%
읍	246	6.1%
과	246	6.1%
속	246	6.1%
방	246	6.1%
이	200	4.9%
Other values (26)	1357	33.4%

Decimal Number

Value	Count	Frequency (%)
0	7430	23.8%
2	4266	13.7%
1	4040	13.0%
3	3108	10.0%
4	2691	8.6%
8	2204	7.1%
6	2113	6.8%
5	1889	6.1%
7	1759	5.6%
9	1673	5.4%

Lowercase Letter

Value	Count	Frequency (%)
u	3	18.8%
a	3	18.8%
n	2	12.5%
r	2	12.5%
p	1	6.2%
l	1	6.2%
g	1	6.2%
c	1	6.2%
t	1	6.2%
y	1	6.2%

Uppercase Letter

Value	Count	Frequency (%)
J	3	37.5%
M	2	25.0%
A	2	25.0%
O	1	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1974	100.0%

Space Separator

Value	Count	Frequency (%)
	442	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	33589	89.1%
Hangul	4064	10.8%
Latin	24	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	442	10.9%
천	322	7.9%
정	267	6.6%
지	246	6.1%
턱	246	6.1%
읍	246	6.1%
과	246	6.1%
속	246	6.1%
방	246	6.1%
이	200	4.9%
Other values (26)	1357	33.4%

Latin

Value	Count	Frequency (%)
J	3	12.5%
u	3	12.5%
a	3	12.5%
M	2	8.3%
A	2	8.3%
n	2	8.3%
r	2	8.3%
p	1	4.2%
l	1	4.2%
g	1	4.2%
Other values (4)	4	16.7%

Common

Value	Count	Frequency (%)
0	7430	22.1%
2	4266	12.7%
1	4040	12.0%
3	3108	9.3%
4	2691	8.0%
8	2204	6.6%
6	2113	6.3%
-	1974	5.9%
5	1889	5.6%
7	1759	5.2%
Other values (2)	2115	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33613	89.2%
Hangul	4064	10.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7430	22.1%
2	4266	12.7%
1	4040	12.0%
3	3108	9.2%
4	2691	8.0%
8	2204	6.6%
6	2113	6.3%
-	1974	5.9%
5	1889	5.6%
7	1759	5.2%
Other values (16)	2139	6.4%

Hangul

Value	Count	Frequency (%)
시	442	10.9%
천	322	7.9%
정	267	6.6%
지	246	6.1%
턱	246	6.1%
읍	246	6.1%
과	246	6.1%
속	246	6.1%
방	246	6.1%
이	200	4.9%
Other values (26)	1357	33.4%

시도명
Categorical

Distinct	27
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

서울특별시	1983
1	836
4	578
경기도	569
9	565
Other values (22)	5469

Length

Max length	7
Median length	5
Mean length	3.4365
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	서울특별시
2nd row	전라남도
3rd row	강원도
4th row	01
5th row	1

Common Values

Value	Count	Frequency (%)
서울특별시	1983	19.8%
1	836	8.4%
4	578	5.8%
경기도	569	5.7%
9	565	5.7%
부산광역시	542	5.4%
강원도	498	5.0%
경상북도	475	4.8%
경상남도	471	4.7%
전라북도	422	4.2%
Other values (17)	3061	30.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
서울특별시	1983	19.8%
1	836	8.4%
4	578	5.8%
경기도	569	5.7%
9	565	5.7%
부산광역시	542	5.4%
강원도	498	5.0%
경상북도	475	4.8%
경상남도	471	4.7%
전라북도	422	4.2%
Other values (17)	3061	30.6%

시군구명
Text

Distinct	98
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	7
Median length	3
Mean length	3.0429
Min length	2

Characters and Unicode

Total characters	30429
Distinct characters	100
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 (%)	< 0.1%

Sample

1st row	강동구
2nd row	무안군
3rd row	강릉시
4th row	강북구
5th row	용산구

Value	Count	Frequency (%)
노원구	617	6.2%
남동구	578	5.8%
종로구	328	3.3%
계양구	312	3.1%
북구	308	3.1%
강동구	295	2.9%
관악구	294	2.9%
경산시	290	2.9%
송파구	287	2.9%
강릉시	286	2.9%
Other values (89)	6428	64.1%

Most occurring characters

Value	Count	Frequency (%)
구	5133	16.9%
시	3591	11.8%
군	1721	5.7%
천	1022	3.4%
남	985	3.2%
동	938	3.1%
원	912	3.0%
산	873	2.9%
서	750	2.5%
강	628	2.1%
Other values (90)	13876	45.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30406	99.9%
Space Separator	23	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	5133	16.9%
시	3591	11.8%
군	1721	5.7%
천	1022	3.4%
남	985	3.2%
동	938	3.1%
원	912	3.0%
산	873	2.9%
서	750	2.5%
강	628	2.1%
Other values (89)	13853	45.6%

Space Separator

Value	Count	Frequency (%)
	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30406	99.9%
Common	23	0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	5133	16.9%
시	3591	11.8%
군	1721	5.7%
천	1022	3.4%
남	985	3.2%
동	938	3.1%
원	912	3.0%
산	873	2.9%
서	750	2.5%
강	628	2.1%
Other values (89)	13853	45.6%

Common

Value	Count	Frequency (%)
	23	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30406	99.9%
ASCII	23	0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
구	5133	16.9%
시	3591	11.8%
군	1721	5.7%
천	1022	3.4%
남	985	3.2%
동	938	3.1%
원	912	3.0%
산	873	2.9%
서	750	2.5%
강	628	2.1%
Other values (89)	13853	45.6%

ASCII

Value	Count	Frequency (%)
	23	100.0%

도로명
Text

Distinct	3754
Distinct (%)	37.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	22
Median length	20
Mean length	5.1238
Min length	1

Characters and Unicode

Total characters	51238
Distinct characters	411
Distinct categories	8 ?
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	1797 ?
Unique (%)	18.0%

Sample

1st row	고덕로46길
2nd row	농어촌도로
3rd row	화부산로141번길
4th row	인수봉로
5th row	후암로

Value	Count	Frequency (%)
	140	1.3%
서구	70	0.6%
중로	60	0.6%
소로	58	0.5%
도시계획도로	57	0.5%
농어촌도로	57	0.5%
한강대로	57	0.5%
북악산로	53	0.5%
효창원로	45	0.4%
지방도	39	0.4%
Other values (3777)	10234	94.1%

Most occurring characters

Value	Count	Frequency (%)
로	8176	16.0%
길	4772	9.3%
1	2071	4.0%
2	1635	3.2%
번	1338	2.6%
3	1134	2.2%
대	910	1.8%
	870	1.7%
5	863	1.7%
4	827	1.6%
Other values (401)	28642	55.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	39873	77.8%
Decimal Number	9969	19.5%
Space Separator	870	1.7%
Dash Punctuation	328	0.6%
Open Punctuation	97	0.2%
Close Punctuation	97	0.2%
Other Punctuation	3	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	8176	20.5%
길	4772	12.0%
번	1338	3.4%
대	910	2.3%
동	794	2.0%
산	676	1.7%
서	636	1.6%
도	619	1.6%
남	539	1.4%
천	503	1.3%
Other values (384)	20910	52.4%

Decimal Number

Value	Count	Frequency (%)
1	2071	20.8%
2	1635	16.4%
3	1134	11.4%
5	863	8.7%
4	827	8.3%
7	817	8.2%
6	759	7.6%
8	702	7.0%
0	651	6.5%
9	510	5.1%

Other Punctuation

Value	Count	Frequency (%)
@	2	66.7%
,	1	33.3%

Space Separator

Value	Count	Frequency (%)
	870	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	328	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	97	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	97	100.0%

Math Symbol

Value	Count	Frequency (%)
~	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	39873	77.8%
Common	11365	22.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	8176	20.5%
길	4772	12.0%
번	1338	3.4%
대	910	2.3%
동	794	2.0%
산	676	1.7%
서	636	1.6%
도	619	1.6%
남	539	1.4%
천	503	1.3%
Other values (384)	20910	52.4%

Common

Value	Count	Frequency (%)
1	2071	18.2%
2	1635	14.4%
3	1134	10.0%
	870	7.7%
5	863	7.6%
4	827	7.3%
7	817	7.2%
6	759	6.7%
8	702	6.2%
0	651	5.7%
Other values (7)	1036	9.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	39873	77.8%
ASCII	11365	22.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	8176	20.5%
길	4772	12.0%
번	1338	3.4%
대	910	2.3%
동	794	2.0%
산	676	1.7%
서	636	1.6%
도	619	1.6%
남	539	1.4%
천	503	1.3%
Other values (384)	20910	52.4%

ASCII

Value	Count	Frequency (%)
1	2071	18.2%
2	1635	14.4%
3	1134	10.0%
	870	7.7%
5	863	7.6%
4	827	7.3%
7	817	7.2%
6	759	6.7%
8	702	6.2%
0	651	5.7%
Other values (7)	1036	9.1%

소재지도로명주소
Text

MISSING

Distinct	3686
Distinct (%)	92.8%
Missing	6029
Missing (%)	60.3%
Memory size	156.2 KiB

Length

Max length	45
Median length	38
Mean length	19.552757
Min length	11

Characters and Unicode

Total characters	77644
Distinct characters	388
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

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

Unique

Unique	3464 ?
Unique (%)	87.2%

Sample

1st row	서울특별시 강동구 고덕로46길 53
2nd row	서울특별시 강북구 인수봉로 282
3rd row	서울특별시 용산구 후암로30길 24
4th row	경기도 시흥시 정왕천로 411번길 3
5th row	강원도 삼척시 광진길122

Value	Count	Frequency (%)
서울특별시	2134	12.9%
경기도	582	3.5%
북구	377	2.3%
종로구	310	1.9%
광주광역시	295	1.8%
관악구	291	1.8%
강동구	288	1.7%
용산구	284	1.7%
은평구	282	1.7%
강원도	251	1.5%
Other values (3418)	11396	69.1%

Most occurring characters

Value	Count	Frequency (%)
	12527	16.1%
시	4016	5.2%
로	3721	4.8%
구	3377	4.3%
1	2928	3.8%
길	2648	3.4%
서	2509	3.2%
별	2136	2.8%
울	2135	2.7%
특	2134	2.7%
Other values (378)	39513	50.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	49586	63.9%
Decimal Number	13798	17.8%
Space Separator	12527	16.1%
Dash Punctuation	826	1.1%
Open Punctuation	410	0.5%
Close Punctuation	410	0.5%
Other Punctuation	83	0.1%
Math Symbol	2	< 0.1%
Letter Number	1	< 0.1%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	4016	8.1%
로	3721	7.5%
구	3377	6.8%
길	2648	5.3%
서	2509	5.1%
별	2136	4.3%
울	2135	4.3%
특	2134	4.3%
도	1468	3.0%
동	990	2.0%
Other values (359)	24452	49.3%

Decimal Number

Value	Count	Frequency (%)
1	2928	21.2%
2	2062	14.9%
3	1628	11.8%
4	1281	9.3%
5	1214	8.8%
6	1076	7.8%
7	1029	7.5%
8	967	7.0%
0	809	5.9%
9	804	5.8%

Other Punctuation

Value	Count	Frequency (%)
,	82	98.8%
@	1	1.2%

Space Separator

Value	Count	Frequency (%)
	12527	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	826	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	410	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	410	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅱ	1	100.0%

Uppercase Letter

Value	Count	Frequency (%)
A	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	49586	63.9%
Common	28056	36.1%
Latin	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	4016	8.1%
로	3721	7.5%
구	3377	6.8%
길	2648	5.3%
서	2509	5.1%
별	2136	4.3%
울	2135	4.3%
특	2134	4.3%
도	1468	3.0%
동	990	2.0%
Other values (359)	24452	49.3%

Common

Value	Count	Frequency (%)
	12527	44.6%
1	2928	10.4%
2	2062	7.3%
3	1628	5.8%
4	1281	4.6%
5	1214	4.3%
6	1076	3.8%
7	1029	3.7%
8	967	3.4%
-	826	2.9%
Other values (7)	2518	9.0%

Latin

Value	Count	Frequency (%)
Ⅱ	1	50.0%
A	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	49586	63.9%
ASCII	28057	36.1%
Number Forms	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12527	44.6%
1	2928	10.4%
2	2062	7.3%
3	1628	5.8%
4	1281	4.6%
5	1214	4.3%
6	1076	3.8%
7	1029	3.7%
8	967	3.4%
-	826	2.9%
Other values (8)	2519	9.0%

Hangul

Value	Count	Frequency (%)
시	4016	8.1%
로	3721	7.5%
구	3377	6.8%
길	2648	5.3%
서	2509	5.1%
별	2136	4.3%
울	2135	4.3%
특	2134	4.3%
도	1468	3.0%
동	990	2.0%
Other values (359)	24452	49.3%

Number Forms

Value	Count	Frequency (%)
Ⅱ	1	100.0%

소재지지번주소
Text

MISSING

Distinct	7557
Distinct (%)	87.6%
Missing	1376
Missing (%)	13.8%
Memory size	156.2 KiB

Length

Max length	36
Median length	33
Mean length	19.288497
Min length	4

Characters and Unicode

Total characters	166344
Distinct characters	354
Distinct categories	10 ?
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	6895 ?
Unique (%)	80.0%

Sample

1st row	서울특별시 강동구 명일동 296-1
2nd row	전라남도 무안군 현경면해운리 635-2
3rd row	강원도 강릉시 교동 298-9
4th row	서울특별시 강북구 수유동 544-4
5th row	강원도 강릉시 주문진읍 교항리 139-1

Value	Count	Frequency (%)
서울특별시	1300	3.6%
경기도	1149	3.2%
인천광역시	913	2.5%
전라북도	716	2.0%
노원구	612	1.7%
서울	597	1.7%
남동구	578	1.6%
부산광역시	550	1.5%
충청남도	540	1.5%
경상북도	470	1.3%
Other values (8315)	28638	79.4%

Most occurring characters

Value	Count	Frequency (%)
	27440	16.5%
동	6994	4.2%
1	6952	4.2%
-	6924	4.2%
시	6386	3.8%
도	4792	2.9%
2	4551	2.7%
구	4425	2.7%
3	4030	2.4%
4	3432	2.1%
Other values (344)	90418	54.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	96473	58.0%
Decimal Number	35277	21.2%
Space Separator	27440	16.5%
Dash Punctuation	6924	4.2%
Close Punctuation	104	0.1%
Open Punctuation	104	0.1%
Uppercase Letter	11	< 0.1%
Math Symbol	5	< 0.1%
Lowercase Letter	4	< 0.1%
Other Punctuation	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	6994	7.2%
시	6386	6.6%
도	4792	5.0%
구	4425	4.6%
서	2939	3.0%
리	2925	3.0%
남	2833	2.9%
천	2479	2.6%
광	2386	2.5%
산	2376	2.5%
Other values (325)	57938	60.1%

Decimal Number

Value	Count	Frequency (%)
1	6952	19.7%
2	4551	12.9%
3	4030	11.4%
4	3432	9.7%
5	3242	9.2%
6	2970	8.4%
7	2844	8.1%
8	2547	7.2%
9	2391	6.8%
0	2318	6.6%

Uppercase Letter

Value	Count	Frequency (%)
A	9	81.8%
B	2	18.2%

Space Separator

Value	Count	Frequency (%)
	27440	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6924	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	104	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	104	100.0%

Math Symbol

Value	Count	Frequency (%)
~	5	100.0%

Lowercase Letter

Value	Count	Frequency (%)
a	4	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	96473	58.0%
Common	69856	42.0%
Latin	15	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	6994	7.2%
시	6386	6.6%
도	4792	5.0%
구	4425	4.6%
서	2939	3.0%
리	2925	3.0%
남	2833	2.9%
천	2479	2.6%
광	2386	2.5%
산	2376	2.5%
Other values (325)	57938	60.1%

Common

Value	Count	Frequency (%)
	27440	39.3%
1	6952	10.0%
-	6924	9.9%
2	4551	6.5%
3	4030	5.8%
4	3432	4.9%
5	3242	4.6%
6	2970	4.3%
7	2844	4.1%
8	2547	3.6%
Other values (6)	4924	7.0%

Latin

Value	Count	Frequency (%)
A	9	60.0%
a	4	26.7%
B	2	13.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	96473	58.0%
ASCII	69871	42.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27440	39.3%
1	6952	9.9%
-	6924	9.9%
2	4551	6.5%
3	4030	5.8%
4	3432	4.9%
5	3242	4.6%
6	2970	4.3%
7	2844	4.1%
8	2547	3.6%
Other values (9)	4939	7.1%

Hangul

Value	Count	Frequency (%)
동	6994	7.2%
시	6386	6.6%
도	4792	5.0%
구	4425	4.6%
서	2939	3.0%
리	2925	3.0%
남	2833	2.9%
천	2479	2.6%
광	2386	2.5%
산	2376	2.5%
Other values (325)	57938	60.1%

설치장소
Text

Distinct	5670
Distinct (%)	56.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	37
Median length	33
Mean length	8.1799
Min length	1

Characters and Unicode

Total characters	81799
Distinct characters	683
Distinct categories	11 ?
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	4965 ?
Unique (%)	49.6%

Sample

1st row	서울특별시 강동구 고덕로46길 53
2nd row	해운리 635-2
3rd row	화부산로141번길
4th row	한진카인테리어
5th row	후암로30길

Value	Count	Frequency (%)
도로	1684	8.9%
앞	1100	5.8%
근처	493	2.6%
해당지번	486	2.6%
부근	293	1.5%
도로상	290	1.5%
서울특별시	288	1.5%
강동구	288	1.5%
해당없음	282	1.5%
입구	254	1.3%
Other values (6563)	13495	71.2%

Most occurring characters

Value	Count	Frequency (%)
	8962	11.0%
로	3241	4.0%
동	2831	3.5%
1	2659	3.3%
도	2438	3.0%
2	1787	2.2%
-	1614	2.0%
0	1379	1.7%
3	1314	1.6%
앞	1267	1.5%
Other values (673)	54307	66.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	56631	69.2%
Decimal Number	12602	15.4%
Space Separator	8962	11.0%
Dash Punctuation	1614	2.0%
Lowercase Letter	612	0.7%
Close Punctuation	470	0.6%
Open Punctuation	465	0.6%
Uppercase Letter	281	0.3%
Other Punctuation	118	0.1%
Math Symbol	41	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	3241	5.7%
동	2831	5.0%
도	2438	4.3%
앞	1267	2.2%
지	1134	2.0%
리	1090	1.9%
교	1000	1.8%
근	981	1.7%
당	944	1.7%
길	934	1.6%
Other values (612)	40771	72.0%

Uppercase Letter

Value	Count	Frequency (%)
C	44	15.7%
A	37	13.2%
I	28	10.0%
S	28	10.0%
K	20	7.1%
G	19	6.8%
B	13	4.6%
J	12	4.3%
M	11	3.9%
O	9	3.2%
Other values (12)	60	21.4%

Lowercase Letter

Value	Count	Frequency (%)
m	583	95.3%
e	8	1.3%
s	5	0.8%
a	4	0.7%
l	3	0.5%
c	2	0.3%
h	1	0.2%
f	1	0.2%
i	1	0.2%
r	1	0.2%
Other values (3)	3	0.5%

Decimal Number

Value	Count	Frequency (%)
1	2659	21.1%
2	1787	14.2%
0	1379	10.9%
3	1314	10.4%
5	1259	10.0%
4	1094	8.7%
6	887	7.0%
7	807	6.4%
8	723	5.7%
9	693	5.5%

Other Punctuation

Value	Count	Frequency (%)
,	95	80.5%
@	7	5.9%
/	5	4.2%
.	4	3.4%
'	4	3.4%
&	2	1.7%
?	1	0.8%

Math Symbol

Value	Count	Frequency (%)
~	25	61.0%
>	7	17.1%
<	5	12.2%
→	4	9.8%

Space Separator

Value	Count	Frequency (%)
	8962	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1614	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	470	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	465	100.0%

Other Symbol

Value	Count	Frequency (%)
㈜	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	56634	69.2%
Common	24272	29.7%
Latin	893	1.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	3241	5.7%
동	2831	5.0%
도	2438	4.3%
앞	1267	2.2%
지	1134	2.0%
리	1090	1.9%
교	1000	1.8%
근	981	1.7%
당	944	1.7%
길	934	1.6%
Other values (613)	40774	72.0%

Latin

Value	Count	Frequency (%)
m	583	65.3%
C	44	4.9%
A	37	4.1%
I	28	3.1%
S	28	3.1%
K	20	2.2%
G	19	2.1%
B	13	1.5%
J	12	1.3%
M	11	1.2%
Other values (25)	98	11.0%

Common

Value	Count	Frequency (%)
	8962	36.9%
1	2659	11.0%
2	1787	7.4%
-	1614	6.6%
0	1379	5.7%
3	1314	5.4%
5	1259	5.2%
4	1094	4.5%
6	887	3.7%
7	807	3.3%
Other values (15)	2510	10.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	56630	69.2%
ASCII	25161	30.8%
Arrows	4	< 0.1%
None	3	< 0.1%
Compat Jamo	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8962	35.6%
1	2659	10.6%
2	1787	7.1%
-	1614	6.4%
0	1379	5.5%
3	1314	5.2%
5	1259	5.0%
4	1094	4.3%
6	887	3.5%
7	807	3.2%
Other values (49)	3399	13.5%

Hangul

Value	Count	Frequency (%)
로	3241	5.7%
동	2831	5.0%
도	2438	4.3%
앞	1267	2.2%
지	1134	2.0%
리	1090	1.9%
교	1000	1.8%
근	981	1.7%
당	944	1.7%
길	934	1.6%
Other values (611)	40770	72.0%

Arrows

Value	Count	Frequency (%)
→	4	100.0%

None

Value	Count	Frequency (%)
㈜	3	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㅡ	1	100.0%

과속방지턱재료
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9374

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	99
Maximum	99
Range	98
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	24.718244
Coefficient of variation (CV)	3.1141487
Kurtosis	9.6492424
Mean	7.9374
Median Absolute Deviation (MAD)	0
Skewness	3.4121711
Sum	79374
Variance	610.99158
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	7208	72.1%
2	2070	20.7%
99	686	6.9%
3	33	0.3%
4	2	< 0.1%
5	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7208	72.1%
2	2070	20.7%
3	33	0.3%
4	2	< 0.1%
5	1	< 0.1%
99	686	6.9%

Value	Count	Frequency (%)
99	686	6.9%
5	1	< 0.1%
4	2	< 0.1%
3	33	0.3%
2	2070	20.7%
1	7208	72.1%

과속방지턱형태구분
Categorical

IMBALANCE

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	7515
01	1494
3	574
03	252
2	124
Other values (2)	41

Length

Max length	2
Median length	1
Mean length	1.1787
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	03
5th row	1

Common Values

Value	Count	Frequency (%)
1	7515	75.1%
01	1494	14.9%
3	574	5.7%
03	252	2.5%
2	124	1.2%
99	39	0.4%
02	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	7515	75.1%
01	1494	14.9%
3	574	5.7%
03	252	2.5%
2	124	1.2%
99	39	0.4%
02	2	< 0.1%

과속방지턱높이
Real number (ℝ)

SKEWED ZEROS

Distinct	41
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.079393

Minimum	0
Maximum	1000
Zeros	1070
Zeros (%)	10.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.11
median	10
Q3	10
95-th percentile	10
Maximum	1000
Range	1000
Interquartile range (IQR)	9.89

Descriptive statistics

Standard deviation	26.727052
Coefficient of variation (CV)	3.308052
Kurtosis	967.74247
Mean	8.079393
Median Absolute Deviation (MAD)	0
Skewness	29.377747
Sum	80793.93
Variance	714.33534
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
10.0	6033	60.3%
0.1	1219	12.2%
0.0	1070	10.7%
7.5	560	5.6%
8.0	360	3.6%
7.0	179	1.8%
0.08	88	0.9%
0.11	80	0.8%
5.0	79	0.8%
6.0	62	0.6%
Other values (31)	270	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1070	10.7%
0.04	4	< 0.1%
0.05	15	0.1%
0.06	31	0.3%
0.07	7	0.1%
0.08	88	0.9%
0.09	29	0.3%
0.1	1219	12.2%
0.11	80	0.8%
0.12	19	0.2%

Value	Count	Frequency (%)
1000.0	4	< 0.1%
750.0	3	< 0.1%
360.0	11	0.1%
20.0	9	0.1%
15.0	10	0.1%
14.0	1	< 0.1%
13.0	3	< 0.1%
12.0	4	< 0.1%
11.0	5	0.1%
10.0	6033	60.3%

과속방지턱폭
Real number (ℝ)

Distinct	282
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	252.97825

Minimum	1
Maximum	2900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3.6
Q1	3.7
median	360
Q3	360
95-th percentile	410
Maximum	2900
Range	2899
Interquartile range (IQR)	356.3

Descriptive statistics

Standard deviation	194.05132
Coefficient of variation (CV)	0.76706719
Kurtosis	5.728296
Mean	252.97825
Median Absolute Deviation (MAD)	0
Skewness	0.62591796
Sum	2529782.5
Variance	37655.914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360.0	5230	52.3%
3.6	2157	21.6%
36.0	335	3.4%
200.0	262	2.6%
3.7	249	2.5%
300.0	165	1.7%
400.0	134	1.3%
3.8	108	1.1%
380.0	67	0.7%
3.0	58	0.6%
Other values (272)	1235	12.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.0	1	< 0.1%
1.1	1	< 0.1%
2.0	28	0.3%
2.1	6	0.1%
2.2	7	0.1%
2.3	3	< 0.1%
2.4	2	< 0.1%
2.5	4	< 0.1%
2.6	1	< 0.1%
2.7	1	< 0.1%

Value	Count	Frequency (%)
2900.0	1	< 0.1%
2000.0	1	< 0.1%
1871.0	1	< 0.1%
1866.0	1	< 0.1%
1620.0	1	< 0.1%
1500.0	1	< 0.1%
1378.0	1	< 0.1%
1280.0	1	< 0.1%
1269.0	1	< 0.1%
1240.0	1	< 0.1%

과속방지턱연장
Real number (ℝ)

Distinct	375
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	430.86742

Minimum	0.9
Maximum	11000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0.9
5-th percentile	3.6
Q1	7.1
median	500
Q3	600
95-th percentile	840.5
Maximum	11000
Range	10999.1
Interquartile range (IQR)	592.9

Descriptive statistics

Standard deviation	424.8657
Coefficient of variation (CV)	0.98607061
Kurtosis	144.06284
Mean	430.86742
Median Absolute Deviation (MAD)	200
Skewness	7.7413687
Sum	4308674.2
Variance	180510.86
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600.0	1750	17.5%
500.0	1088	10.9%
300.0	566	5.7%
800.0	551	5.5%
700.0	510	5.1%
7.0	419	4.2%
400.0	351	3.5%
6.0	314	3.1%
4.0	253	2.5%
360.0	179	1.8%
Other values (365)	4019	40.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.9	1	< 0.1%
1.0	1	< 0.1%
1.6	1	< 0.1%
1.7	1	< 0.1%
2.0	44	0.4%
2.1	8	0.1%
2.2	3	< 0.1%
2.3	2	< 0.1%
2.4	4	< 0.1%
2.5	27	0.3%

Value	Count	Frequency (%)
11000.0	2	< 0.1%
7500.0	2	< 0.1%
7000.0	8	0.1%
6000.0	2	< 0.1%
5400.0	1	< 0.1%
3600.0	1	< 0.1%
2554.0	1	< 0.1%
2200.0	1	< 0.1%
2130.0	1	< 0.1%
2000.0	12	0.1%

도로유형구분
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

1	5379
2	2854
01	1342
02	425

Length

Max length	2
Median length	1
Mean length	1.1767
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	02
4th row	01
5th row	2

Common Values

Value	Count	Frequency (%)
1	5379	53.8%
2	2854	28.5%
01	1342	13.4%
02	425	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5379	53.8%
2	2854	28.5%
01	1342	13.4%
02	425	4.2%

규격여부
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	87.9 KiB

True	9162
False	838

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	9162	91.6%
False	838	8.4%

위도
Real number (ℝ)

MISSING

Distinct	8812
Distinct (%)	89.5%
Missing	155
Missing (%)	1.6%
Infinite	0
Infinite (%)	0.0%
Mean	36.664227

Minimum	33.209227
Maximum	39.191577
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	33.209227
5-th percentile	34.89777
Q1	35.681843
median	37.402054
Q3	37.52704
95-th percentile	37.758175
Maximum	39.191577
Range	5.9823495
Interquartile range (IQR)	1.8451966

Descriptive statistics

Standard deviation	1.1449426
Coefficient of variation (CV)	0.031227784
Kurtosis	0.031866746
Mean	36.664227
Median Absolute Deviation (MAD)	0.21172305
Skewness	-0.96794295
Sum	360959.32
Variance	1.3108935
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.0926758	122	1.2%
33.3060336	11	0.1%
33.3225332	11	0.1%
36.017116	10	0.1%
37.496847	9	0.1%
37.4968	9	0.1%
35.16466581	8	0.1%
33.3420367	8	0.1%
35.20017944	7	0.1%
35.1155121	7	0.1%
Other values (8802)	9643	96.4%
(Missing)	155	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
33.2092275	1	< 0.1%
33.2095443	1	< 0.1%
33.2097797	1	< 0.1%
33.2112097	2	< 0.1%
33.2117573	1	< 0.1%
33.2190151	1	< 0.1%
33.2198042	1	< 0.1%
33.2198281	1	< 0.1%
33.2203736	1	< 0.1%
33.2214816	1	< 0.1%

Value	Count	Frequency (%)
39.191577	1	< 0.1%
38.15606641	3	< 0.1%
38.1518244907	1	< 0.1%
38.1475527936	1	< 0.1%
38.1452665619	1	< 0.1%
38.1427187253	1	< 0.1%
38.1351622115	1	< 0.1%
38.1350185171	1	< 0.1%
38.1340647094	1	< 0.1%
38.1213860052	1	< 0.1%

경도
Real number (ℝ)

MISSING

Distinct	8789
Distinct (%)	89.3%
Missing	159
Missing (%)	1.6%
Infinite	0
Infinite (%)	0.0%
Mean	127.36605

Minimum	126.102
Maximum	136.88947
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	126.102
5-th percentile	126.50899
Q1	126.84234
median	127.00488
Q3	127.44532
95-th percentile	129.16722
Maximum	136.88947
Range	10.787471
Interquartile range (IQR)	0.6029821

Descriptive statistics

Standard deviation	0.84742897
Coefficient of variation (CV)	0.0066534921
Kurtosis	1.6225233
Mean	127.36605
Median Absolute Deviation (MAD)	0.2687288
Skewness	1.3411558
Sum	1253409.2
Variance	0.71813586
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
129.0570719	122	1.2%
126.887771	18	0.2%
126.6580882	11	0.1%
126.8228665	11	0.1%
129.363747	10	0.1%
127.144099	9	0.1%
127.145847	9	0.1%
129.1779832	8	0.1%
126.5884214	8	0.1%
129.115598	7	0.1%
Other values (8779)	9628	96.3%
(Missing)	159	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.102	2	< 0.1%
126.127	1	< 0.1%
126.1398757	1	< 0.1%
126.165091	1	< 0.1%
126.1844366	1	< 0.1%
126.1938276	1	< 0.1%
126.2004199	4	< 0.1%
126.208	1	< 0.1%
126.2267121	1	< 0.1%
126.2278928	1	< 0.1%

Value	Count	Frequency (%)
136.889471	1	< 0.1%
129.5605997	1	< 0.1%
129.504002	1	< 0.1%
129.43949475	1	< 0.1%
129.4279058	1	< 0.1%
129.420397	1	< 0.1%
129.420249	1	< 0.1%
129.410887	1	< 0.1%
129.4107001	1	< 0.1%
129.4076043	3	< 0.1%

보차분리여부
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	87.9 KiB

False	5219
True	4781

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	5219	52.2%
True	4781	47.8%

연속형여부
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	87.9 KiB

False	6686
True	3314

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	6686	66.9%
True	3314	33.1%

과속방지턱설치연도
Date

MISSING

Distinct	21
Distinct (%)	1.3%
Missing	8405
Missing (%)	84.0%
Memory size	156.2 KiB

Minimum	1999-01-01 00:00:00
Maximum	2019-01-01 00:00:00

Histogram

Histogram with fixed size bins (bins=21)

관리기관명
Text

Distinct	90
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	14
Median length	12
Mean length	7.8513
Min length	3

Characters and Unicode

Total characters	78513
Distinct characters	111
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	1 ?
Unique (%)	< 0.1%

Sample

1st row	서울특별시 강동구청
2nd row	무안군 건설교통과
3rd row	강릉시 강릉시청
4th row	서울특별시 북부도로사업소
5th row	서울특별시 용산구청

Value	Count	Frequency (%)
서울특별시	1576	9.3%
경기도	954	5.7%
부산광역시	617	3.7%
노원구청	596	3.5%
인천광역시	587	3.5%
남동구청	578	3.4%
도로과	543	3.2%
북구청	402	2.4%
계양구청	312	1.8%
경상북도	299	1.8%
Other values (98)	10419	61.7%

Most occurring characters

Value	Count	Frequency (%)
청	7825	10.0%
시	7398	9.4%
	6883	8.8%
구	5273	6.7%
도	3331	4.2%
서	2937	3.7%
울	2167	2.8%
특	2116	2.7%
별	2116	2.7%
광	2054	2.6%
Other values (101)	36413	46.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	71630	91.2%
Space Separator	6883	8.8%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
청	7825	10.9%
시	7398	10.3%
구	5273	7.4%
도	3331	4.7%
서	2937	4.1%
울	2167	3.0%
특	2116	3.0%
별	2116	3.0%
광	2054	2.9%
군	1790	2.5%
Other values (100)	34623	48.3%

Space Separator

Value	Count	Frequency (%)
	6883	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	71630	91.2%
Common	6883	8.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
청	7825	10.9%
시	7398	10.3%
구	5273	7.4%
도	3331	4.7%
서	2937	4.1%
울	2167	3.0%
특	2116	3.0%
별	2116	3.0%
광	2054	2.9%
군	1790	2.5%
Other values (100)	34623	48.3%

Common

Value	Count	Frequency (%)
	6883	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	71630	91.2%
ASCII	6883	8.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
청	7825	10.9%
시	7398	10.3%
구	5273	7.4%
도	3331	4.7%
서	2937	4.1%
울	2167	3.0%
특	2116	3.0%
별	2116	3.0%
광	2054	2.9%
군	1790	2.5%
Other values (100)	34623	48.3%

ASCII

Value	Count	Frequency (%)
	6883	100.0%

관리기관전화번호
Text

Distinct	169
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	13
Median length	12
Mean length	11.8881
Min length	11

Characters and Unicode

Total characters	118881
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	74 ?
Unique (%)	0.7%

Sample

1st row	02-3425-6352
2nd row	061-450-5673
3rd row	033-640-5382
4th row	02-944-5436
5th row	02-2199-7860

Value	Count	Frequency (%)
02-2116-4106	596	6.0%
032-453-2684	578	5.8%
032-450-5556	312	3.1%
02-2148-3273	296	3.0%
062-410-6774	295	2.9%
053-810-6130	290	2.9%
02-3425-6352	288	2.9%
031-310-2436	286	2.9%
033-640-5382	286	2.9%
02-879-6762	284	2.8%
Other values (159)	6489	64.9%

Most occurring characters

Value	Count	Frequency (%)
-	20000	16.8%
0	16669	14.0%
3	13287	11.2%
4	12085	10.2%
2	11901	10.0%
5	10763	9.1%
6	10442	8.8%
1	8874	7.5%
7	5747	4.8%
8	5468	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	98881	83.2%
Dash Punctuation	20000	16.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	16669	16.9%
3	13287	13.4%
4	12085	12.2%
2	11901	12.0%
5	10763	10.9%
6	10442	10.6%
1	8874	9.0%
7	5747	5.8%
8	5468	5.5%
9	3645	3.7%

Dash Punctuation

Value	Count	Frequency (%)
-	20000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	118881	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	20000	16.8%
0	16669	14.0%
3	13287	11.2%
4	12085	10.2%
2	11901	10.0%
5	10763	9.1%
6	10442	8.8%
1	8874	7.5%
7	5747	4.8%
8	5468	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118881	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	20000	16.8%
0	16669	14.0%
3	13287	11.2%
4	12085	10.2%
2	11901	10.0%
5	10763	9.1%
6	10442	8.8%
1	8874	7.5%
7	5747	4.8%
8	5468	4.6%

데이터기준일자
Date

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Minimum	2019-04-09 00:00:00
Maximum	2020-10-27 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct	73
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4099386

Minimum	3000000
Maximum	6520000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3000000
5-th percentile	3020000
Q1	3230000
median	3970000
Q3	4790000
95-th percentile	6110000
Maximum	6520000
Range	3520000
Interquartile range (IQR)	1560000

Descriptive statistics

Standard deviation	958149.98
Coefficient of variation (CV)	0.23373012
Kurtosis	-0.34375631
Mean	4099386
Median Absolute Deviation (MAD)	740000
Skewness	0.77576729
Sum	4.099386 × 10¹⁰
Variance	9.1805139 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3100000	596	6.0%
3530000	578	5.8%
6110000	315	3.1%
3550000	312	3.1%
3000000	296	3.0%
3620000	295	2.9%
5130000	290	2.9%
3240000	288	2.9%
4200000	286	2.9%
4010000	286	2.9%
Other values (63)	6458	64.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3000000	296	3.0%
3020000	281	2.8%
3100000	596	6.0%
3110000	282	2.8%
3120000	139	1.4%
3160000	256	2.6%
3170000	123	1.2%
3200000	284	2.8%
3220000	3	< 0.1%
3230000	271	2.7%

Value	Count	Frequency (%)
6520000	283	2.8%
6310000	23	0.2%
6110000	315	3.1%
5670000	272	2.7%
5600000	140	1.4%
5430000	105	1.1%
5420000	3	< 0.1%
5390000	94	0.9%
5370000	75	0.8%
5180000	9	0.1%

제공기관명
Text

Distinct	73
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	12
Median length	10
Mean length	8.3133
Min length	5

Characters and Unicode

Total characters	83133
Distinct characters	93
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	0 ?
Unique (%)	0.0%

Sample

1st row	서울특별시 강동구
2nd row	전라남도 무안군
3rd row	강원도 강릉시
4th row	서울특별시
5th row	서울특별시 용산구

Value	Count	Frequency (%)
서울특별시	3134	15.9%
경기도	1284	6.5%
인천광역시	913	4.6%
전라북도	716	3.6%
부산광역시	625	3.2%
노원구	596	3.0%
남동구	578	2.9%
경상남도	549	2.8%
충청남도	540	2.7%
강원도	498	2.5%
Other values (76)	10229	52.0%

Most occurring characters

Value	Count	Frequency (%)
	9662	11.6%
시	8688	10.5%
도	5023	6.0%
구	4865	5.9%
서	3871	4.7%
특	3417	4.1%
별	3417	4.1%
울	3157	3.8%
경	2598	3.1%
남	2537	3.1%
Other values (83)	35898	43.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	73471	88.4%
Space Separator	9662	11.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	8688	11.8%
도	5023	6.8%
구	4865	6.6%
서	3871	5.3%
특	3417	4.7%
별	3417	4.7%
울	3157	4.3%
경	2598	3.5%
남	2537	3.5%
광	2388	3.3%
Other values (82)	33510	45.6%

Space Separator

Value	Count	Frequency (%)
	9662	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	73471	88.4%
Common	9662	11.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	8688	11.8%
도	5023	6.8%
구	4865	6.6%
서	3871	5.3%
특	3417	4.7%
별	3417	4.7%
울	3157	4.3%
경	2598	3.5%
남	2537	3.5%
광	2388	3.3%
Other values (82)	33510	45.6%

Common

Value	Count	Frequency (%)
	9662	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	73471	88.4%
ASCII	9662	11.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	9662	100.0%

Hangul

Value	Count	Frequency (%)
시	8688	11.8%
도	5023	6.8%
구	4865	6.6%
서	3871	5.3%
특	3417	4.7%
별	3417	4.7%
울	3157	4.3%
경	2598	3.5%
남	2537	3.5%
광	2388	3.3%
Other values (82)	33510	45.6%

First rows
Last rows

	과속방지턱관리번호	시도명	시군구명	도로명	소재지도로명주소	소재지지번주소	설치장소	과속방지턱재료	과속방지턱형태구분	과속방지턱높이	과속방지턱폭	과속방지턱연장	도로유형구분	규격여부	위도	경도	보차분리여부	연속형여부	과속방지턱설치연도	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명
461	82000483	서울특별시	강동구	고덕로46길	서울특별시 강동구 고덕로46길 53	서울특별시 강동구 명일동 296-1	서울특별시 강동구 고덕로46길 53	1	1	10.0	360.0	560	2	Y	37.5530322	127.1474373	N	N	2009	서울특별시 강동구청	02-3425-6352	2020-09-11	3240000	서울특별시 강동구
11901	192	전라남도	무안군	농어촌도로	<NA>	전라남도 무안군 현경면해운리 635-2	해운리 635-2	1	1	10.0	360.0	750	1	Y	35.06575862	126.4597374	Y	N	<NA>	무안군 건설교통과	061-450-5673	2020-10-19	4950000	전라남도 무안군
2700	13422001	강원도	강릉시	화부산로141번길	<NA>	강원도 강릉시 교동 298-9	화부산로141번길	99	3	0.0	616.0	284	02	N	37.76650878	128.8936961	N	N	<NA>	강릉시 강릉시청	033-640-5382	2020-09-21	4200000	강원도 강릉시
6477	359	01	강북구	인수봉로	서울특별시 강북구 인수봉로 282	서울특별시 강북구 수유동 544-4	한진카인테리어	99	03	0.0	360.0	1240	01	Y	37.643725	127.010902	Y	N	<NA>	서울특별시 북부도로사업소	02-944-5436	2019-06-19	6110000	서울특별시
2954	<NA>	1	용산구	후암로	서울특별시 용산구 후암로30길 24	<NA>	후암로30길	2	1	0.1	3.6	4	2	Y	37.55042426	126.9786705	N	N	<NA>	서울특별시 용산구청	02-2199-7860	2020-03-06	3020000	서울특별시 용산구
13117	41225003	강원도	강릉시	주문로	<NA>	강원도 강릉시 주문진읍 교항리 139-1	주문로	99	1	0.0	360.0	580	02	Y	37.88475884	128.8247064	N	N	<NA>	강릉시 강릉시청	033-640-5382	2020-09-21	4200000	강원도 강릉시
1646	정왕-003	9	시흥시	정왕천로 411번길	경기도 시흥시 정왕천로 411번길 3	경기도 시흥시 정왕동 1196	해당지번 근처	2	1	10.0	360.0	500	2	N	37.3443874	126.7515899	Y	N	<NA>	경기도 시흥시청	031-310-2436	2020-03-20	4010000	경기도 시흥시
17342	이천-34	경기도	이천시	무촌로	<NA>	경기도 이천시 부발읍 무촌리 166-44	해당지번 근처	2	1	10.0	360.0	300	1	Y	37.2832649	127.4876754	N	N	<NA>	경기도 이천시청	031-644-2437	2020-07-16	4070000	경기도 이천시
1049	146	충청남도	서천군	장천로	<NA>	충청남도 서천군 종천면 장구리 699-3	장구사거리에서 신송리 쪽으로 150m	2	1	10.0	360.0	800	1	Y	36.09203004	126.6535362	Y	N	<NA>	서천군청	041-950-4160	2020-10-20	4580000	충청남도 서천군
5886	46	전라남도	함평군	구산원선길	<NA>	전라남도 함평군 나산면 나산리 332-4	원구산마을전방 370m	2	1	10.0	360.0	500	1	Y	35.098001	126.584001	N	N	<NA>	전라남도 함평군청	061-320-1964	2020-09-10	4960000	전라남도 함평군

	과속방지턱관리번호	시도명	시군구명	도로명	소재지도로명주소	소재지지번주소	설치장소	과속방지턱재료	과속방지턱형태구분	과속방지턱높이	과속방지턱폭	과속방지턱연장	도로유형구분	규격여부	위도	경도	보차분리여부	연속형여부	과속방지턱설치연도	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명
3275	70	서울특별시	구로구	구일로8길	서울특별시 구로구 구일로8길 107	<NA>	도로	1	1	10.0	360.0	500	2	Y	37.4978353516	126.887771	Y	N	<NA>	서울특별시구로구청	02-860-2455	2020-09-16	3160000	서울특별시 구로구
1438	정읍시 과속방지턱-170	13	정읍시	태고로	<NA>	전라북도 정읍시 정우면 화천리 565-5	덕촌마을 진입로 일원	99	3	0.0	3.8	6	1	Y	35.64484998	126.9112706	N	Y	<NA>	정읍시청	063-539-5853	2020-01-31	4690000	전라북도 정읍시
2417	<NA>	제주특별자치도	서귀포시	마소물로	<NA>	제주특별자치도 서귀포시 보목동 884	보목초등학교 후문 입구 남측	1	1	10.0	3.6	800	1	Y	33.244304	126.5990028	Y	N	<NA>	서귀포시	064-760-3093	2020-06-25	6520000	제주특별자치도 서귀포시
3225	45	서울특별시	금천구	금하로23길	서울특별시 금천구 금하로 750	<NA>	도로	1	1	10.0	360.0	600	1	Y	37.4493853	126.9136755	Y	N	2010	금천구청 도로과	02-2627-1819	2020-08-31	3170000	서울특별시 금천구
10104	취암동-60	12	논산시	중앙로	<NA>	충청남도 논산시 취암동 1094	충청남도 논산시 취암동 1094	1	3	0.0	360.0	600	1	Y	36.2013993	127.0920446	Y	Y	<NA>	충청남도 논산시청	041-746-6257	2020-03-29	4540000	충청남도 논산시
10762	1	경기도	오산시	오산로	<NA>	경기도 오산시 갈곶동 212	소망빌 앞	1	1	10.0	3.6	5.4	1	Y	37.1308521	127.0689542	N	Y	<NA>	경기도 오산시청	031-8036-7702	2020-07-09	4000000	경기도 오산시
5861	354	서울특별시	구로구	새말로16길	서울특별시 구로구 새말로16길 27	<NA>	도로	1	1	10.0	360.0	400	2	Y	37.504385	126.891011	Y	Y	<NA>	서울특별시구로구청	02-860-2455	2020-09-16	3160000	서울특별시 구로구
14087	358	경기도	과천시	장군마을1길	경기도 과천시 장군마을1길 42	경기도 과천시 주암동 64-7	주암동 64-7,63-6번지 사이	1	1	10.0	360.0	300	2	Y	37.462834	127.032759	N	Y	<NA>	경기도 과천시청	02-3677-2433	2020-05-19	3970000	경기도 과천시
6398	35	09	구리시	강변북로	<NA>	경기도 구리시 아천동 65-36	강변북로 아천IC 램프상(아차산로→구리암사대교)	99	03	0.0	360.0	320	01	Y	37.574689	127.125972	N	Y	2015	서울시설공단	02-2290-6363	2019-06-19	6110000	서울특별시
10032	52	14	화순군	진각로	<NA>	전라남도 화순군 화순읍 향청리 121-1	김영운치과 앞	99	3	0.0	380.0	1450	1	Y	35.0621807	126.9863086	Y	N	<NA>	화순군청 도시과	061-379-3782	2020-04-06	4900000	전라남도 화순군

Most frequently occurring

	과속방지턱관리번호	시도명	시군구명	도로명	소재지도로명주소	소재지지번주소	설치장소	과속방지턱재료	과속방지턱형태구분	과속방지턱높이	과속방지턱폭	과속방지턱연장	도로유형구분	규격여부	위도	경도	보차분리여부	연속형여부	과속방지턱설치연도	관리기관명	관리기관전화번호	데이터기준일자	제공기관코드	제공기관명	# duplicates
30	<NA>	경상남도	창원시	학교단지로	<NA>	경상남도 창원시 마산회원구 합성동 30-1	도로	1	1	10.0	360.0	500	1	Y	35.2459375	128.5932428	Y	N	<NA>	마산회원구청	055-230-4646	2020-10-01	5670000	경상남도 창원시	4
44	<NA>	충청남도	서산시	-	<NA>	충청남도 서산시 동문동1-44번지	-	1	01	10.0	3.6	5	01	Y	36.785965	126.463540	Y	N	<NA>	서산시청 도로과	041-660-2437	2020-10-15	4530000	충청남도 서산시	4
18	<NA>	경상남도	창원시	광려로	경상남도 창원시 마산회원구 내서읍 광려로 100	경상남도 창원시 마산회원구 내서읍 신감리 1373	도로	1	1	10.0	360.0	500	1	Y	35.2179718	128.5020755	Y	N	<NA>	마산회원구청	055-230-4646	2020-10-01	5670000	경상남도 창원시	3
26	<NA>	경상남도	창원시	삼풍로	<NA>	경상남도 창원시 마산회원구 내서읍 삼계리 12	도로	1	1	10.0	360.0	500	1	Y	35.2340678	128.5023854	Y	N	<NA>	마산회원구청	055-230-4646	2020-10-01	5670000	경상남도 창원시	3
28	<NA>	경상남도	창원시	석전동로	경상남도 창원시 마산회원구 석전동로 8	경상남도 창원시 마산회원구 석전동 243-1	도로	1	1	10.0	360.0	500	1	Y	35.23227108	128.5761875	Y	N	<NA>	마산회원구청	055-230-4646	2020-10-01	5670000	경상남도 창원시	3
29	<NA>	경상남도	창원시	양덕서로	경상남도 창원시 마산회원구 양덕서로 30	경상남도 창원시 마산회원구 양덕동 84-1	도로	1	1	10.0	360.0	500	1	Y	35.22836895	128.5826626	Y	N	<NA>	마산회원구청	055-230-4646	2020-10-01	5670000	경상남도 창원시	3
35	<NA>	서울특별시	서대문구	세검정로1길	<NA>	서울특별시 서대문구 홍은동 48-454	홍제초등학교 어린이보호구역	1	1	7.5	200.0	300	2	N	37.5937443978	126.9458074873	Y	Y	<NA>	서울특별시 서대문구	02-330-1835	2020-01-01	3120000	서울특별시 서대문구	3
36	<NA>	서울특별시	서대문구	이화여대2길	<NA>	서울특별시 서대문구 대현동 62-13	대신초등학교 어린이보호구역	1	1	7.5	200.0	300	2	N	37.5585128704	126.9479335969	Y	Y	<NA>	서울특별시 서대문구	02-330-1835	2020-01-01	3120000	서울특별시 서대문구	3
39	<NA>	서울특별시	서대문구	포방터길	<NA>	서울특별시 서대문구 홍은동 9-485	홍은초등학교 어린이보호구역	1	1	7.5	200.0	300	2	N	37.5972171963	126.9507828488	Y	Y	<NA>	서울특별시 서대문구	02-330-1835	2020-01-01	3120000	서울특별시 서대문구	3
51	<NA>	충청남도	서산시	-	<NA>	충청남도 서산시 운산면 신창리 358-9	운신초 앞	1	01	10.0	3.6	6	01	Y	36.755989	126.562748	Y	Y	<NA>	서산시청 도로과	041-660-2437	2020-10-15	4530000	충청남도 서산시	3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Lowercase Letter

Uppercase Letter

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

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

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

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

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Letter Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Number Forms

Most occurring characters

Most occurring categories

Most frequent character per category