gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	1779
Missing cells	188
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	271.1 KiB
Average record size in memory	156.1 B

Variable types

Numeric	4
Text	7
Categorical	6
DateTime	2

Dataset

Description	D 데이터허브(빅데이터 통합플랫폼) 내 데이터셋의 데이터명, 데이터 설명, 카테고리, 제공방식, 제공기관 등에 대한 정보 중 ETL을 통해 추출된 데이터를 제공합니다.
URL	https://www.data.go.kr/data/15116905/fileData.do

Alerts

`공개여부(공통코드)` has constant value ""	Constant
`카테고리코드` is highly overall correlated with `카테고리명`	High correlation
`카테고리명` is highly overall correlated with `카테고리코드`	High correlation
`데이터셋ID` is highly overall correlated with `조회수`	High correlation
`조회수` is highly overall correlated with `데이터셋ID`	High correlation
`제공기관` is highly overall correlated with `제공기관명`	High correlation
`제공기관명` is highly overall correlated with `제공기관`	High correlation
`제공구분` is highly imbalanced (92.6%)	Imbalance
`다운로드 수` has 188 (10.6%) missing values	Missing
`데이터셋 상세보기 화면의 홈페이지주소(URL)` has unique values	Unique

Reproduction

Analysis started	2023-12-12 19:22:59.641798
Analysis finished	2023-12-12 19:23:04.392287
Duration	4.75 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

데이터셋ID
Real number (ℝ)

HIGH CORRELATION

Distinct	1777
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13742482

Minimum	3033387
Maximum	15116496
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	3033387
5-th percentile	3069755
Q1	15050944
median	15084263
Q3	15100233
95-th percentile	15112630
Maximum	15116496
Range	12083109
Interquartile range (IQR)	49288.5

Descriptive statistics

Standard deviation	3780133.3
Coefficient of variation (CV)	0.27506919
Kurtosis	4.124392
Mean	13742482
Median Absolute Deviation (MAD)	25158
Skewness	-2.4737058
Sum	2.4447875 × 10¹⁰
Variance	1.4289408 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3056767	2	0.1%
15002156	2	0.1%
15054193	1	0.1%
15035585	1	0.1%
15052654	1	0.1%
15052653	1	0.1%
15052652	1	0.1%
15052651	1	0.1%
15052512	1	0.1%
15052511	1	0.1%
Other values (1767)	1767	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3033387	1	0.1%
3033586	1	0.1%
3033703	1	0.1%
3037269	1	0.1%
3037270	1	0.1%
3037345	1	0.1%
3038373	1	0.1%
3038385	1	0.1%
3038386	1	0.1%
3038390	1	0.1%

Value	Count	Frequency (%)
15116496	1	0.1%
15116462	1	0.1%
15116409	1	0.1%
15116330	1	0.1%
15115844	1	0.1%
15115596	1	0.1%
15115464	1	0.1%
15115454	1	0.1%
15115285	1	0.1%
15115182	1	0.1%

데이터명
Text

Distinct	1765
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	47
Median length	32
Mean length	19.81394
Min length	6

Characters and Unicode

Total characters	35249
Distinct characters	510
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	1751 ?
Unique (%)	98.4%

Sample

1st row	대구광역시_여행업 업체 현황
2nd row	대구광역시_환경전문공사업 등록현황
3rd row	대구광역시_환경측정대행업 등록현황
4th row	대구광역시_환경컨설팅회사현황
5th row	대구광역시 달성군_석면조사대상 건축물 현황

Value	Count	Frequency (%)
대구광역시	1176	22.3%
현황	538	10.2%
및	72	1.4%
데이터	59	1.1%
상점정보	57	1.1%
정보	46	0.9%
사진	46	0.9%
대구광역시_먹거리골목	39	0.7%
중구	30	0.6%
대구시	25	0.5%
Other values (2280)	3183	60.4%

Most occurring characters

Value	Count	Frequency (%)
	3493	9.9%
구	3157	9.0%
시	2100	6.0%
대	1952	5.5%
_	1908	5.4%
광	1850	5.2%
역	1804	5.1%
현	906	2.6%
황	893	2.5%
서	612	1.7%
Other values (500)	16574	47.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	28459	80.7%
Space Separator	3493	9.9%
Connector Punctuation	1908	5.4%
Decimal Number	557	1.6%
Open Punctuation	268	0.8%
Close Punctuation	268	0.8%
Uppercase Letter	242	0.7%
Other Punctuation	48	0.1%
Lowercase Letter	5	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	3157	11.1%
시	2100	7.4%
대	1952	6.9%
광	1850	6.5%
역	1804	6.3%
현	906	3.2%
황	893	3.1%
서	612	2.2%
정	448	1.6%
보	373	1.3%
Other values (455)	14364	50.5%

Uppercase Letter

Value	Count	Frequency (%)
V	38	15.7%
P	34	14.0%
R	34	14.0%
S	27	11.2%
H	25	10.3%
C	20	8.3%
A	11	4.5%
I	10	4.1%
T	8	3.3%
L	6	2.5%
Other values (10)	29	12.0%

Decimal Number

Value	Count	Frequency (%)
1	137	24.6%
2	112	20.1%
0	110	19.7%
8	50	9.0%
3	37	6.6%
9	29	5.2%
5	24	4.3%
4	23	4.1%
6	23	4.1%
7	12	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	42	87.5%
?	2	4.2%
·	1	2.1%
＆	1	2.1%
/	1	2.1%
&	1	2.1%

Lowercase Letter

Value	Count	Frequency (%)
o	2	40.0%
k	1	20.0%
b	1	20.0%
e	1	20.0%

Space Separator

Value	Count	Frequency (%)
	3493	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1908	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	268	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	268	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	28459	80.7%
Common	6543	18.6%
Latin	247	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	3157	11.1%
시	2100	7.4%
대	1952	6.9%
광	1850	6.5%
역	1804	6.3%
현	906	3.2%
황	893	3.1%
서	612	2.2%
정	448	1.6%
보	373	1.3%
Other values (455)	14364	50.5%

Latin

Value	Count	Frequency (%)
V	38	15.4%
P	34	13.8%
R	34	13.8%
S	27	10.9%
H	25	10.1%
C	20	8.1%
A	11	4.5%
I	10	4.0%
T	8	3.2%
L	6	2.4%
Other values (14)	34	13.8%

Common

Value	Count	Frequency (%)
	3493	53.4%
_	1908	29.2%
(	268	4.1%
)	268	4.1%
1	137	2.1%
2	112	1.7%
0	110	1.7%
8	50	0.8%
.	42	0.6%
3	37	0.6%
Other values (11)	118	1.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	28459	80.7%
ASCII	6788	19.3%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3493	51.5%
_	1908	28.1%
(	268	3.9%
)	268	3.9%
1	137	2.0%
2	112	1.6%
0	110	1.6%
8	50	0.7%
.	42	0.6%
V	38	0.6%
Other values (33)	362	5.3%

Hangul

Value	Count	Frequency (%)
구	3157	11.1%
시	2100	7.4%
대	1952	6.9%
광	1850	6.5%
역	1804	6.3%
현	906	3.2%
황	893	3.1%
서	612	2.2%
정	448	1.6%
보	373	1.3%
Other values (455)	14364	50.5%

None

Value	Count	Frequency (%)
·	1	50.0%
＆	1	50.0%

키워드1
Text

Distinct	912
Distinct (%)	51.3%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	12
Median length	11
Mean length	3.7048904
Min length	1

Characters and Unicode

Total characters	6591
Distinct characters	396
Distinct categories	7 ?
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	655 ?
Unique (%)	36.8%

Sample

1st row	여행
2nd row	대구_환경
3rd row	환_경
4th row	대표자자
5th row	달성군

Value	Count	Frequency (%)
대구	48	2.7%
지방세	47	2.6%
먹거리골목	39	2.2%
홍보	39	2.2%
관광지	38	2.1%
상점정보	26	1.5%
도서관	18	1.0%
대구_북구	16	0.9%
관광	15	0.8%
관광명소	15	0.8%
Other values (898)	1480	83.1%

Most occurring characters

Value	Count	Frequency (%)
지	203	3.1%
구	199	3.0%
대	176	2.7%
_	149	2.3%
기	144	2.2%
관	139	2.1%
공	138	2.1%
보	128	1.9%
정	112	1.7%
시	109	1.7%
Other values (386)	5094	77.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6370	96.6%
Connector Punctuation	149	2.3%
Decimal Number	38	0.6%
Uppercase Letter	30	0.5%
Space Separator	2	< 0.1%
Dash Punctuation	1	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	203	3.2%
구	199	3.1%
대	176	2.8%
기	144	2.3%
관	139	2.2%
공	138	2.2%
보	128	2.0%
정	112	1.8%
시	109	1.7%
광	97	1.5%
Other values (363)	4925	77.3%

Uppercase Letter

Value	Count	Frequency (%)
C	8	26.7%
T	4	13.3%
V	2	6.7%
R	2	6.7%
B	2	6.7%
P	2	6.7%
G	2	6.7%
D	1	3.3%
M	1	3.3%
E	1	3.3%
Other values (5)	5	16.7%

Decimal Number

Value	Count	Frequency (%)
1	21	55.3%
9	14	36.8%
8	2	5.3%
7	1	2.6%

Connector Punctuation

Value	Count	Frequency (%)
_	149	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	6370	96.6%
Common	191	2.9%
Latin	30	0.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	203	3.2%
구	199	3.1%
대	176	2.8%
기	144	2.3%
관	139	2.2%
공	138	2.2%
보	128	2.0%
정	112	1.8%
시	109	1.7%
광	97	1.5%
Other values (363)	4925	77.3%

Latin

Value	Count	Frequency (%)
C	8	26.7%
T	4	13.3%
V	2	6.7%
R	2	6.7%
B	2	6.7%
P	2	6.7%
G	2	6.7%
D	1	3.3%
M	1	3.3%
E	1	3.3%
Other values (5)	5	16.7%

Common

Value	Count	Frequency (%)
_	149	78.0%
1	21	11.0%
9	14	7.3%
	2	1.0%
8	2	1.0%
-	1	0.5%
&	1	0.5%
7	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	6370	96.6%
ASCII	221	3.4%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
지	203	3.2%
구	199	3.1%
대	176	2.8%
기	144	2.3%
관	139	2.2%
공	138	2.2%
보	128	2.0%
정	112	1.8%
시	109	1.7%
광	97	1.5%
Other values (363)	4925	77.3%

ASCII

Value	Count	Frequency (%)
_	149	67.4%
1	21	9.5%
9	14	6.3%
C	8	3.6%
T	4	1.8%
V	2	0.9%
R	2	0.9%
B	2	0.9%
P	2	0.9%
	2	0.9%
Other values (13)	15	6.8%

키워드2
Text

Distinct	1051
Distinct (%)	59.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	16
Median length	13
Mean length	3.5716695
Min length	1

Characters and Unicode

Total characters	6354
Distinct characters	401
Distinct categories	9 ?
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	784 ?
Unique (%)	44.1%

Sample

1st row	기업
2nd row	환경산업체
3rd row	환_경_산_업_체
4th row	업소명
5th row	석면

Value	Count	Frequency (%)
전통시장	60	3.4%
음식점	45	2.5%
관광	28	1.6%
vr	25	1.4%
화보집	24	1.3%
항공뷰	13	0.7%
관광지	12	0.7%
대구관광	11	0.6%
교통약자	11	0.6%
유튜브	11	0.6%
Other values (1034)	1539	86.5%

Most occurring characters

Value	Count	Frequency (%)
시	192	3.0%
장	134	2.1%
관	131	2.1%
업	124	2.0%
지	115	1.8%
기	107	1.7%
통	105	1.7%
_	101	1.6%
공	98	1.5%
사	98	1.5%
Other values (391)	5149	81.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6166	97.0%
Connector Punctuation	101	1.6%
Lowercase Letter	49	0.8%
Uppercase Letter	25	0.4%
Decimal Number	6	0.1%
Other Punctuation	3	< 0.1%
Dash Punctuation	2	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	192	3.1%
장	134	2.2%
관	131	2.1%
업	124	2.0%
지	115	1.9%
기	107	1.7%
통	105	1.7%
공	98	1.6%
사	98	1.6%
대	97	1.6%
Other values (368)	4965	80.5%

Uppercase Letter

Value	Count	Frequency (%)
C	7	28.0%
V	6	24.0%
R	4	16.0%
T	3	12.0%
X	1	4.0%
P	1	4.0%
I	1	4.0%
F	1	4.0%
D	1	4.0%

Lowercase Letter

Value	Count	Frequency (%)
r	23	46.9%
v	22	44.9%
c	2	4.1%
a	1	2.0%
y	1	2.0%

Decimal Number

Value	Count	Frequency (%)
9	2	33.3%
1	2	33.3%
5	1	16.7%
0	1	16.7%

Connector Punctuation

Value	Count	Frequency (%)
_	101	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	6166	97.0%
Common	114	1.8%
Latin	74	1.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	192	3.1%
장	134	2.2%
관	131	2.1%
업	124	2.0%
지	115	1.9%
기	107	1.7%
통	105	1.7%
공	98	1.6%
사	98	1.6%
대	97	1.6%
Other values (368)	4965	80.5%

Latin

Value	Count	Frequency (%)
r	23	31.1%
v	22	29.7%
C	7	9.5%
V	6	8.1%
R	4	5.4%
T	3	4.1%
c	2	2.7%
a	1	1.4%
y	1	1.4%
X	1	1.4%
Other values (4)	4	5.4%

Common

Value	Count	Frequency (%)
_	101	88.6%
.	3	2.6%
-	2	1.8%
9	2	1.8%
1	2	1.8%
(	1	0.9%
5	1	0.9%
0	1	0.9%
)	1	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	6166	97.0%
ASCII	188	3.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	192	3.1%
장	134	2.2%
관	131	2.1%
업	124	2.0%
지	115	1.9%
기	107	1.7%
통	105	1.7%
공	98	1.6%
사	98	1.6%
대	97	1.6%
Other values (368)	4965	80.5%

ASCII

Value	Count	Frequency (%)
_	101	53.7%
r	23	12.2%
v	22	11.7%
C	7	3.7%
V	6	3.2%
R	4	2.1%
T	3	1.6%
.	3	1.6%
-	2	1.1%
c	2	1.1%
Other values (13)	15	8.0%

키워드3
Text

Distinct	1199
Distinct (%)	67.4%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	17
Median length	13
Mean length	3.9055649
Min length	1

Characters and Unicode

Total characters	6948
Distinct characters	448
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	942 ?
Unique (%)	53.0%

Sample

1st row	사업체_현황
2nd row	산업체_등록_현황
3rd row	등록현황
4th row	회사현황
5th row	건축물

Value	Count	Frequency (%)
현황	47	2.6%
사진	29	1.6%
vr_이미지	18	1.0%
환경	15	0.8%
달성군	12	0.7%
등록현황	10	0.6%
관광	9	0.5%
세금	8	0.4%
여행	8	0.4%
시설	8	0.4%
Other values (1189)	1615	90.8%

Most occurring characters

Value	Count	Frequency (%)
_	164	2.4%
시	155	2.2%
사	139	2.0%
업	139	2.0%
구	132	1.9%
지	126	1.8%
수	126	1.8%
장	123	1.8%
소	117	1.7%
현	115	1.7%
Other values (438)	5612	80.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	6563	94.5%
Connector Punctuation	164	2.4%
Decimal Number	104	1.5%
Uppercase Letter	103	1.5%
Lowercase Letter	13	0.2%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	155	2.4%
사	139	2.1%
업	139	2.1%
구	132	2.0%
지	126	1.9%
수	126	1.9%
장	123	1.9%
소	117	1.8%
현	115	1.8%
황	112	1.7%
Other values (399)	5279	80.4%

Uppercase Letter

Value	Count	Frequency (%)
V	21	20.4%
R	20	19.4%
F	8	7.8%
P	8	7.8%
C	8	7.8%
H	7	6.8%
S	7	6.8%
L	6	5.8%
Y	6	5.8%
T	3	2.9%
Other values (6)	9	8.7%

Lowercase Letter

Value	Count	Frequency (%)
u	2	15.4%
c	2	15.4%
o	1	7.7%
t	1	7.7%
e	1	7.7%
g	1	7.7%
a	1	7.7%
d	1	7.7%
r	1	7.7%
k	1	7.7%

Decimal Number

Value	Count	Frequency (%)
1	24	23.1%
0	18	17.3%
2	17	16.3%
3	13	12.5%
5	13	12.5%
4	6	5.8%
9	6	5.8%
7	3	2.9%
6	3	2.9%
8	1	1.0%

Connector Punctuation

Value	Count	Frequency (%)
_	164	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	6563	94.5%
Common	269	3.9%
Latin	116	1.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	155	2.4%
사	139	2.1%
업	139	2.1%
구	132	2.0%
지	126	1.9%
수	126	1.9%
장	123	1.9%
소	117	1.8%
현	115	1.8%
황	112	1.7%
Other values (399)	5279	80.4%

Latin

Value	Count	Frequency (%)
V	21	18.1%
R	20	17.2%
F	8	6.9%
P	8	6.9%
C	8	6.9%
H	7	6.0%
S	7	6.0%
L	6	5.2%
Y	6	5.2%
T	3	2.6%
Other values (17)	22	19.0%

Common

Value	Count	Frequency (%)
_	164	61.0%
1	24	8.9%
0	18	6.7%
2	17	6.3%
3	13	4.8%
5	13	4.8%
4	6	2.2%
9	6	2.2%
7	3	1.1%
6	3	1.1%
Other values (2)	2	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	6563	94.5%
ASCII	385	5.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	164	42.6%
1	24	6.2%
V	21	5.5%
R	20	5.2%
0	18	4.7%
2	17	4.4%
3	13	3.4%
5	13	3.4%
F	8	2.1%
P	8	2.1%
Other values (29)	79	20.5%

Hangul

Value	Count	Frequency (%)
시	155	2.4%
사	139	2.1%
업	139	2.1%
구	132	2.0%
지	126	1.9%
수	126	1.9%
장	123	1.9%
소	117	1.8%
현	115	1.8%
황	112	1.7%
Other values (399)	5279	80.4%

제공구분
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

PROV01	1754
PROV02	19
<NA>	6

Length

Max length	6
Median length	6
Mean length	5.9932546
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PROV01
2nd row	PROV01
3rd row	PROV01
4th row	PROV01
5th row	PROV01

Common Values

Value	Count	Frequency (%)
PROV01	1754	98.6%
PROV02	19	1.1%
<NA>	6	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
prov01	1754	98.6%
prov02	19	1.1%
na	6	0.3%

조회수
Real number (ℝ)

HIGH CORRELATION

Distinct	1347
Distinct (%)	75.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1469.5188

Minimum	0
Maximum	13000
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	93
Q1	485
median	1119
Q3	2274.5
95-th percentile	3489.3
Maximum	13000
Range	13000
Interquartile range (IQR)	1789.5

Descriptive statistics

Standard deviation	1304.9921
Coefficient of variation (CV)	0.88804039
Kurtosis	10.523881
Mean	1469.5188
Median Absolute Deviation (MAD)	830
Skewness	2.1681927
Sum	2614274
Variance	1703004.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
534	5	0.3%
122	5	0.3%
15	4	0.2%
1256	4	0.2%
108	4	0.2%
391	4	0.2%
333	4	0.2%
71	4	0.2%
125	4	0.2%
920	4	0.2%
Other values (1337)	1737	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
1	3	0.2%
9	2	0.1%
10	2	0.1%
11	4	0.2%
12	1	0.1%
13	2	0.1%
14	3	0.2%
15	4	0.2%
16	1	0.1%

Value	Count	Frequency (%)
13000	1	0.1%
12644	1	0.1%
10951	1	0.1%
9266	1	0.1%
8998	1	0.1%
8276	1	0.1%
7776	1	0.1%
7770	1	0.1%
7335	1	0.1%
7111	1	0.1%

구 분류체계코드
Text

Distinct	52
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	23
Median length	23
Mean length	23
Min length	23

Characters and Unicode

Total characters	40917
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	10 ?
Unique (%)	0.6%

Sample

1st row	NB000220061215100139552
2nd row	NB000220061207100091169
3rd row	NB000220061207100091169
4th row	NB000220061207100091169
5th row	NB000220061207100091641

Value	Count	Frequency (%)
nb000220061201100024361	245	13.8%
nb000220061215100139552	217	12.2%
nb000220061215100125685	104	5.8%
nb000220061130100005270	98	5.5%
nb000220061201100060496	93	5.2%
nb000220061213100114179	88	4.9%
b1000220140124000225471	81	4.6%
nb000220061213100114094	72	4.0%
nb000220061207100084608	68	3.8%
nb000220061207100091169	56	3.1%
Other values (42)	657	36.9%

Most occurring characters

Value	Count	Frequency (%)
0	15104	36.9%
1	6650	16.3%
2	6616	16.2%
6	2566	6.3%
5	1809	4.4%
B	1779	4.3%
N	1644	4.0%
4	1449	3.5%
9	1074	2.6%
3	989	2.4%
Other values (2)	1237	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	37494	91.6%
Uppercase Letter	3423	8.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15104	40.3%
1	6650	17.7%
2	6616	17.6%
6	2566	6.8%
5	1809	4.8%
4	1449	3.9%
9	1074	2.9%
3	989	2.6%
7	802	2.1%
8	435	1.2%

Uppercase Letter

Value	Count	Frequency (%)
B	1779	52.0%
N	1644	48.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	37494	91.6%
Latin	3423	8.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15104	40.3%
1	6650	17.7%
2	6616	17.6%
6	2566	6.8%
5	1809	4.8%
4	1449	3.9%
9	1074	2.9%
3	989	2.6%
7	802	2.1%
8	435	1.2%

Latin

Value	Count	Frequency (%)
B	1779	52.0%
N	1644	48.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40917	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	15104	36.9%
1	6650	16.3%
2	6616	16.2%
6	2566	6.3%
5	1809	4.4%
B	1779	4.3%
N	1644	4.0%
4	1449	3.5%
9	1074	2.6%
3	989	2.4%
Other values (2)	1237	3.0%

구 분류체계명
Text

Distinct	51
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	9
Median length	8
Mean length	4.3260259
Min length	2

Characters and Unicode

Total characters	7696
Distinct characters	109
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	10 ?
Unique (%)	0.6%

Sample

1st row	관광
2nd row	환경일반
3rd row	환경일반
4th row	환경일반
5th row	대기

Value	Count	Frequency (%)
일반행정	245	13.8%
관광	217	12.2%
보건의료	118	6.6%
산업·중소기업일반	98	5.5%
식품의약안전	93	5.2%
지역및도시	88	4.9%
세제	81	4.6%
도로	72	4.0%
안전관리	68	3.8%
환경일반	56	3.1%
Other values (41)	643	36.1%

Most occurring characters

Value	Count	Frequency (%)
일	521	6.8%
반	520	6.8%
관	325	4.2%
정	318	4.1%
기	257	3.3%
·	256	3.3%
행	255	3.3%
광	254	3.3%
업	251	3.3%
의	211	2.7%
Other values (99)	4528	58.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	7440	96.7%
Other Punctuation	256	3.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
일	521	7.0%
반	520	7.0%
관	325	4.4%
정	318	4.3%
기	257	3.5%
행	255	3.4%
광	254	3.4%
업	251	3.4%
의	211	2.8%
보	196	2.6%
Other values (98)	4332	58.2%

Other Punctuation

Value	Count	Frequency (%)
·	256	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	7440	96.7%
Common	256	3.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
일	521	7.0%
반	520	7.0%
관	325	4.4%
정	318	4.3%
기	257	3.5%
행	255	3.4%
광	254	3.4%
업	251	3.4%
의	211	2.8%
보	196	2.6%
Other values (98)	4332	58.2%

Common

Value	Count	Frequency (%)
·	256	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	7440	96.7%
None	256	3.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
일	521	7.0%
반	520	7.0%
관	325	4.4%
정	318	4.3%
기	257	3.5%
행	255	3.4%
광	254	3.4%
업	251	3.4%
의	211	2.8%
보	196	2.6%
Other values (98)	4332	58.2%

None

Value	Count	Frequency (%)
·	256	100.0%

카테고리코드
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

OC0008	333
OC0003	319
OC0012	192
OC0006	135
OC0011	126
Other values (11)	674

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	OC0008
2nd row	OC0012
3rd row	OC0012
4th row	OC0012
5th row	OC0012

Common Values

Value	Count	Frequency (%)
OC0008	333	18.7%
OC0003	319	17.9%
OC0012	192	10.8%
OC0006	135	7.6%
OC0011	126	7.1%
OC0009	118	6.6%
OC0005	107	6.0%
OC0002	97	5.5%
OC0007	93	5.2%
OC0004	93	5.2%
Other values (6)	166	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
oc0008	333	18.7%
oc0003	319	17.9%
oc0012	192	10.8%
oc0006	135	7.6%
oc0011	126	7.1%
oc0009	118	6.6%
oc0005	107	6.0%
oc0002	97	5.5%
oc0007	93	5.2%
oc0004	93	5.2%
Other values (6)	166	9.3%

카테고리명
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

문화관광	333
공공행정	319
환경기상	192
사회복지	135
교통물류	126
Other values (11)	674

Length

Max length	6
Median length	4
Mean length	3.9235526
Min length	2

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
문화관광	333	18.7%
공공행정	319	17.9%
환경기상	192	10.8%
사회복지	135	7.6%
교통물류	126	7.1%
보건의료	118	6.6%
산업고용	107	6.0%
국토관리	97	5.5%
식품건강	93	5.2%
재정금융	93	5.2%
Other values (6)	166	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
문화관광	333	18.7%
공공행정	319	17.9%
환경기상	192	10.8%
사회복지	135	7.6%
교통물류	126	7.1%
보건의료	118	6.6%
산업고용	107	6.0%
국토관리	97	5.5%
식품건강	93	5.2%
재정금융	93	5.2%
Other values (6)	166	9.3%

제공방식
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

FILE	1563
API	216

Length

Max length	4
Median length	4
Mean length	3.8785835
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
FILE	1563	87.9%
API	216	12.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
file	1563	87.9%
api	216	12.1%

등록일
Date

Distinct	547
Distinct (%)	30.7%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Minimum	2013-11-07 00:00:00
Maximum	2023-07-11 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

수정일
Date

Distinct	399
Distinct (%)	22.4%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Minimum	2018-11-06 00:00:00
Maximum	2023-07-13 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

다운로드 수
Real number (ℝ)

MISSING

Distinct	568
Distinct (%)	35.7%
Missing	188
Missing (%)	10.6%
Infinite	0
Infinite (%)	0.0%
Mean	239.03206

Minimum	1
Maximum	2722
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	32.5
median	114
Q3	396.5
95-th percentile	817
Maximum	2722
Range	2721
Interquartile range (IQR)	364

Descriptive statistics

Standard deviation	289.07095
Coefficient of variation (CV)	1.2093397
Kurtosis	6.0369946
Mean	239.03206
Median Absolute Deviation (MAD)	104
Skewness	1.9317325
Sum	380300
Variance	83562.015
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	55	3.1%
6	50	2.8%
3	31	1.7%
7	30	1.7%
8	26	1.5%
9	17	1.0%
4	17	1.0%
1	17	1.0%
10	17	1.0%
2	17	1.0%
Other values (558)	1314	73.9%
(Missing)	188	10.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	17	1.0%
2	17	1.0%
3	31	1.7%
4	17	1.0%
5	55	3.1%
6	50	2.8%
7	30	1.7%
8	26	1.5%
9	17	1.0%
10	17	1.0%

Value	Count	Frequency (%)
2722	1	0.1%
2203	1	0.1%
1539	1	0.1%
1514	1	0.1%
1496	1	0.1%
1471	1	0.1%
1414	1	0.1%
1348	1	0.1%
1338	1	0.1%
1333	1	0.1%

데이터셋 상세보기 화면의 홈페이지주소(URL)
Text

UNIQUE

Distinct	1779
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

Length

Max length	53
Median length	53
Mean length	52.767285
Min length	51

Characters and Unicode

Total characters	93873
Distinct characters	35
Distinct categories	5 ?
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	1779 ?
Unique (%)	100.0%

Sample

1st row	/data/dataView.do?dataSetId=15054193&provdMethod=FILE
2nd row	/data/dataView.do?dataSetId=15054584&provdMethod=FILE
3rd row	/data/dataView.do?dataSetId=15054585&provdMethod=FILE
4th row	/data/dataView.do?dataSetId=15054586&provdMethod=FILE
5th row	/data/dataView.do?dataSetId=3046208&provdMethod=FILE

Value	Count	Frequency (%)
data/dataview.do?datasetid=15054193&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15035922&provdmethod=file	1	0.1%
data/dataview.do?datasetid=3055972&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052655&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052654&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052653&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052652&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052651&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052512&provdmethod=file	1	0.1%
data/dataview.do?datasetid=15052511&provdmethod=file	1	0.1%
Other values (1769)	1769	99.4%

Most occurring characters

Value	Count	Frequency (%)
d	12453	13.3%
a	10674	11.4%
t	8895	9.5%
o	5337	5.7%
e	5337	5.7%
/	3558	3.8%
=	3558	3.8%
I	3558	3.8%
1	2898	3.1%
5	2583	2.8%
Other values (25)	35022	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	53370	56.9%
Decimal Number	14034	14.9%
Uppercase Letter	14016	14.9%
Other Punctuation	8895	9.5%
Math Symbol	3558	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	12453	23.3%
a	10674	20.0%
t	8895	16.7%
o	5337	10.0%
e	5337	10.0%
h	1779	3.3%
w	1779	3.3%
i	1779	3.3%
p	1779	3.3%
r	1779	3.3%

Decimal Number

Value	Count	Frequency (%)
1	2898	20.6%
5	2583	18.4%
0	2356	16.8%
9	1061	7.6%
3	936	6.7%
8	887	6.3%
4	887	6.3%
7	833	5.9%
6	832	5.9%
2	761	5.4%

Uppercase Letter

Value	Count	Frequency (%)
I	3558	25.4%
S	1779	12.7%
V	1779	12.7%
M	1779	12.7%
L	1563	11.2%
F	1563	11.2%
E	1563	11.2%
A	216	1.5%
P	216	1.5%

Other Punctuation

Value	Count	Frequency (%)
/	3558	40.0%
.	1779	20.0%
?	1779	20.0%
&	1779	20.0%

Math Symbol

Value	Count	Frequency (%)
=	3558	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	67386	71.8%
Common	26487	28.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	12453	18.5%
a	10674	15.8%
t	8895	13.2%
o	5337	7.9%
e	5337	7.9%
I	3558	5.3%
h	1779	2.6%
S	1779	2.6%
w	1779	2.6%
i	1779	2.6%
Other values (10)	14016	20.8%

Common

Value	Count	Frequency (%)
/	3558	13.4%
=	3558	13.4%
1	2898	10.9%
5	2583	9.8%
0	2356	8.9%
.	1779	6.7%
?	1779	6.7%
&	1779	6.7%
9	1061	4.0%
3	936	3.5%
Other values (5)	4200	15.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	93873	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	12453	13.3%
a	10674	11.4%
t	8895	9.5%
o	5337	5.7%
e	5337	5.7%
/	3558	3.8%
=	3558	3.8%
I	3558	3.8%
1	2898	3.1%
5	2583	2.8%
Other values (25)	35022	37.3%

제공기관
Real number (ℝ)

HIGH CORRELATION

Distinct	9
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4237982

Minimum	3410000
Maximum	6270000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	3410000
5-th percentile	3410000
Q1	3430000
median	3450000
Q3	6270000
95-th percentile	6270000
Maximum	6270000
Range	2860000
Interquartile range (IQR)	2840000

Descriptive statistics

Standard deviation	1270978.7
Coefficient of variation (CV)	0.29990185
Kurtosis	-1.0509288
Mean	4237982
Median Absolute Deviation (MAD)	20000
Skewness	0.97435516
Sum	7.53937 × 10⁹
Variance	1.6153868 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
6270000	500	28.1%
3430000	300	16.9%
3450000	257	14.4%
3470000	166	9.3%
3420000	145	8.2%
3460000	141	7.9%
3410000	98	5.5%
3440000	95	5.3%
3480000	77	4.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3410000	98	5.5%
3420000	145	8.2%
3430000	300	16.9%
3440000	95	5.3%
3450000	257	14.4%
3460000	141	7.9%
3470000	166	9.3%
3480000	77	4.3%
6270000	500	28.1%

Value	Count	Frequency (%)
6270000	500	28.1%
3480000	77	4.3%
3470000	166	9.3%
3460000	141	7.9%
3450000	257	14.4%
3440000	95	5.3%
3430000	300	16.9%
3420000	145	8.2%
3410000	98	5.5%

제공기관명
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

대구광역시	500
대구광역시 서구	300
대구광역시 북구	257
대구광역시 달서구	166
대구광역시 동구	145
Other values (4)	411

Length

Max length	9
Median length	8
Mean length	7.3726813
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
대구광역시	500	28.1%
대구광역시 서구	300	16.9%
대구광역시 북구	257	14.4%
대구광역시 달서구	166	9.3%
대구광역시 동구	145	8.2%
대구광역시 수성구	141	7.9%
대구광역시 중구	98	5.5%
대구광역시 남구	95	5.3%
대구광역시 달성군	77	4.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
대구광역시	1779	58.2%
서구	300	9.8%
북구	257	8.4%
달서구	166	5.4%
동구	145	4.7%
수성구	141	4.6%
중구	98	3.2%
남구	95	3.1%
달성군	77	2.5%

공개여부(공통코드)
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.0 KiB

rng01	1779

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	rng01
2nd row	rng01
3rd row	rng01
4th row	rng01
5th row	rng01

Common Values

Value	Count	Frequency (%)
rng01	1779	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rng01	1779	100.0%

Heatmap
Table

	데이터셋ID	제공구분	조회수	구 분류체계코드	구 분류체계명	카테고리코드	카테고리명	제공방식	다운로드 수	제공기관	제공기관명
데이터셋ID	1.000	0.018	0.455	0.337	0.325	0.233	0.233	0.163	0.174	0.134	0.179
제공구분	0.018	1.000	0.000	0.097	0.105	0.119	0.119	0.000	0.055	0.000	0.079
조회수	0.455	0.000	1.000	0.000	0.000	0.114	0.114	0.137	0.534	0.178	0.182
구 분류체계코드	0.337	0.097	0.000	1.000	1.000	1.000	1.000	0.296	0.421	0.438	0.499
구 분류체계명	0.325	0.105	0.000	1.000	1.000	1.000	1.000	0.285	0.418	0.418	0.500
카테고리코드	0.233	0.119	0.114	1.000	1.000	1.000	1.000	0.140	0.351	0.239	0.295
카테고리명	0.233	0.119	0.114	1.000	1.000	1.000	1.000	0.140	0.351	0.239	0.295
제공방식	0.163	0.000	0.137	0.296	0.285	0.140	0.140	1.000	0.282	0.122	0.270
다운로드 수	0.174	0.055	0.534	0.421	0.418	0.351	0.351	0.282	1.000	0.380	0.300
제공기관	0.134	0.000	0.178	0.438	0.418	0.239	0.239	0.122	0.380	1.000	1.000
제공기관명	0.179	0.079	0.182	0.499	0.500	0.295	0.295	0.270	0.300	1.000	1.000

Heatmap
Table

	카테고리코드	제공방식	카테고리명	제공기관명	제공구분
카테고리코드	1.000	0.109	1.000	0.126	0.093
제공방식	0.109	1.000	0.109	0.269	0.000
카테고리명	1.000	0.109	1.000	0.126	0.093
제공기관명	0.126	0.269	0.126	1.000	0.079
제공구분	0.093	0.000	0.093	0.079	1.000

Heatmap
Table

	데이터셋ID	조회수	다운로드 수	제공기관	제공구분	카테고리코드	카테고리명	제공방식	제공기관명
데이터셋ID	1.000	-0.735	-0.458	-0.028	0.000	0.179	0.179	0.104	0.176
조회수	-0.735	1.000	0.387	0.025	0.000	0.045	0.045	0.105	0.083
다운로드 수	-0.458	0.387	1.000	0.109	0.041	0.129	0.129	0.211	0.152
제공기관	-0.028	0.025	0.109	1.000	0.000	0.194	0.194	0.070	0.998
제공구분	0.000	0.000	0.041	0.000	1.000	0.093	0.093	0.000	0.079
카테고리코드	0.179	0.045	0.129	0.194	0.093	1.000	1.000	0.109	0.126
카테고리명	0.179	0.045	0.129	0.194	0.093	1.000	1.000	0.109	0.126
제공방식	0.104	0.105	0.211	0.070	0.000	0.109	0.109	1.000	0.269
제공기관명	0.176	0.083	0.152	0.998	0.079	0.126	0.126	0.269	1.000

Count
Matrix

A simple visualization of nullity by column.

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

First rows
Last rows

	데이터셋ID	데이터명	키워드1	키워드2	키워드3	제공구분	조회수	구 분류체계코드	구 분류체계명	카테고리코드	카테고리명	제공방식	등록일	수정일	다운로드 수	데이터셋 상세보기 화면의 홈페이지주소(URL)	제공기관	제공기관명	공개여부(공통코드)
0	15054193	대구광역시_여행업 업체 현황	여행	기업	사업체_현황	PROV01	2566	NB000220061215100139552	관광	OC0008	문화관광	FILE	2017-05-30	2021-11-22	308	/data/dataView.do?dataSetId=15054193&provdMethod=FILE	6270000	대구광역시	rng01
1	15054584	대구광역시_환경전문공사업 등록현황	대구_환경	환경산업체	산업체_등록_현황	PROV01	2796	NB000220061207100091169	환경일반	OC0012	환경기상	FILE	2019-05-15	2022-03-24	530	/data/dataView.do?dataSetId=15054584&provdMethod=FILE	6270000	대구광역시	rng01
2	15054585	대구광역시_환경측정대행업 등록현황	환_경	환_경_산_업_체	등록현황	PROV01	2500	NB000220061207100091169	환경일반	OC0012	환경기상	FILE	2019-05-15	2022-03-24	571	/data/dataView.do?dataSetId=15054585&provdMethod=FILE	6270000	대구광역시	rng01
3	15054586	대구광역시_환경컨설팅회사현황	대표자자	업소명	회사현황	PROV01	2694	NB000220061207100091169	환경일반	OC0012	환경기상	FILE	2019-05-15	2022-09-23	168	/data/dataView.do?dataSetId=15054586&provdMethod=FILE	6270000	대구광역시	rng01
4	3046208	대구광역시 달성군_석면조사대상 건축물 현황	달성군	석면	건축물	PROV01	1954	NB000220061207100091641	대기	OC0012	환경기상	FILE	2018-05-16	2021-11-12	434	/data/dataView.do?dataSetId=3046208&provdMethod=FILE	3480000	대구광역시 달성군	rng01
5	3054922	대구광역시 달성군_보유 도서정보	달성군청	도서관	소장목록	PROV01	2064	NB000220061201100027876	교육일반	OC0001	교육	FILE	2018-05-16	2021-09-19	457	/data/dataView.do?dataSetId=3054922&provdMethod=FILE	3480000	대구광역시 달성군	rng01
6	3068155	대구광역시 달성군_인구현황	공공	인구	현황	PROV01	3729	NB000220061201100024361	일반행정	OC0003	공공행정	FILE	2018-05-24	2021-09-29	141	/data/dataView.do?dataSetId=3068155&provdMethod=FILE	3480000	대구광역시 달성군	rng01
7	3068159	대구광역시 달성군_학교 현황	교육	학생	교육기관	PROV01	2912	NB000220061201100027876	교육일반	OC0001	교육	FILE	2017-10-20	2021-11-12	784	/data/dataView.do?dataSetId=3068159&provdMethod=FILE	3480000	대구광역시 달성군	rng01
8	3068160	대구광역시 달성군_우체국 및 금융기관 현황	공공	우체국	금융기관	PROV01	2468	NB000220061201100024361	일반행정	OC0003	공공행정	FILE	2019-09-16	2021-11-12	443	/data/dataView.do?dataSetId=3068160&provdMethod=FILE	3480000	대구광역시 달성군	rng01
9	3068166	대구광역시 달성군_공공기관 현황	공공	기관	단체	PROV01	2754	NB000220061215100128172	지방행정·재정지원	OC0003	공공행정	FILE	2018-05-21	2021-09-29	647	/data/dataView.do?dataSetId=3068166&provdMethod=FILE	3480000	대구광역시 달성군	rng01

	데이터셋ID	데이터명	키워드1	키워드2	키워드3	제공구분	조회수	구 분류체계코드	구 분류체계명	카테고리코드	카테고리명	제공방식	등록일	수정일	다운로드 수	데이터셋 상세보기 화면의 홈페이지주소(URL)	제공기관	제공기관명	공개여부(공통코드)
1769	15059755	대구광역시_건축사사무소 개설신고 현황	설계	건축	건축사	PROV01	3038	NB000220061213100114179	지역및도시	OC0002	국토관리	FILE	2020-05-06	2022-05-07	1	/data/dataView.do?dataSetId=15059755&provdMethod=FILE	6270000	대구광역시	rng01
1770	15097988	대구광역시 달성군_노인복지시설현황	노인	노인복지시설	달성군	PROV01	1729	NB000220061201100031425	노인·청소년	OC0006	사회복지	API	2022-01-04	2022-01-25	9	/data/dataView.do?dataSetId=15097988&provdMethod=API	3480000	대구광역시 달성군	rng01
1771	15097989	대구광역시 달성군_부동산중개업소현황	부동산중개업소	부동산	달성군	PROV01	1256	NB000220061201100024361	일반행정	OC0003	공공행정	API	2022-01-04	2022-01-25	8	/data/dataView.do?dataSetId=15097989&provdMethod=API	3480000	대구광역시 달성군	rng01
1772	15097990	대구광역시 달성군_우체국및금융기관현황	우체국	금융기관	달성군	PROV01	796	NB000220061201100024361	일반행정	OC0003	공공행정	API	2022-01-04	2022-01-19	5	/data/dataView.do?dataSetId=15097990&provdMethod=API	3480000	대구광역시 달성군	rng01
1773	15097991	대구광역시 달성군_문화재정보	문화재	문화체육관광	달성군	PROV01	963	NB000220061201100039076	문화재	OC0008	문화관광	API	2022-01-04	2022-01-19	6	/data/dataView.do?dataSetId=15097991&provdMethod=API	3480000	대구광역시 달성군	rng01
1774	15097992	대구광역시 달성군_복지센터현황	복지센터	사회복지	달성군	PROV01	1095	NB000220061201100031425	노인·청소년	OC0006	사회복지	API	2022-01-04	2022-01-19	5	/data/dataView.do?dataSetId=15097992&provdMethod=API	3480000	대구광역시 달성군	rng01
1775	15097993	대구광역시 달성군_서원 정보	서원	문화	달성군	PROV01	1410	NB000220061215100139552	관광	OC0008	문화관광	API	2022-01-04	2022-01-19	5	/data/dataView.do?dataSetId=15097993&provdMethod=API	3480000	대구광역시 달성군	rng01
1776	15097994	대구광역시 달성군_폐형광등 및 폐건전지 분리수거함 현황	폐건전지	폐형광등	달성군	PROV01	1453	NB000220061207100091169	환경일반	OC0012	환경기상	API	2022-01-05	2022-01-19	8	/data/dataView.do?dataSetId=15097994&provdMethod=API	3480000	대구광역시 달성군	rng01
1777	15097995	대구광역시 달성군_체육시설업현황	골프장	헬스	달성군	PROV01	1388	NB000220061215100140592	체육	OC0008	문화관광	API	2022-01-05	2022-01-19	7	/data/dataView.do?dataSetId=15097995&provdMethod=API	3480000	대구광역시 달성군	rng01
1778	15097997	대구광역시 달성군_종량제봉투 판매정보	쓰레기	종량제봉투	달성군	PROV01	2733	NB000220061207100091169	환경일반	OC0012	환경기상	API	2022-01-05	2022-01-19	6	/data/dataView.do?dataSetId=15097997&provdMethod=API	3480000	대구광역시 달성군	rng01

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Connector Punctuation

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Connector Punctuation

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Connector Punctuation

Other Punctuation

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks