Overview

Dataset statistics

Number of variables4
Number of observations153
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory32.9 B

Variable types

Categorical1
Text2
DateTime1

Dataset

Description울산 남구 지역에 운영중인 다중이용시설 실내공기질 관리대상 정보에 대한 데이터로 시설명, 시설군, 소재지 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15037047/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 17:56:47.194588
Analysis finished2023-12-12 17:56:47.846012
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설군
Categorical

Distinct14
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
실내주차장
44 
의료기관
37 
보육시설
25 
인터넷컴퓨터게임시설
10 
대규모점포
9 
Other values (9)
28 

Length

Max length10
Median length8
Mean length4.9934641
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row터미널
2nd row도서관
3rd row도서관
4th row박물관
5th row의료기관

Common Values

ValueCountFrequency (%)
실내주차장 44
28.8%
의료기관 37
24.2%
보육시설 25
16.3%
인터넷컴퓨터게임시설 10
 
6.5%
대규모점포 9
 
5.9%
장례식장 6
 
3.9%
어린이놀이시설 5
 
3.3%
산후조리원 4
 
2.6%
목욕장(찜질방) 4
 
2.6%
노인요양시설 3
 
2.0%
Other values (4) 6
 
3.9%

Length

2023-12-13T02:56:47.976859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 44
28.8%
의료기관 37
24.2%
보육시설 25
16.3%
인터넷컴퓨터게임시설 10
 
6.5%
대규모점포 9
 
5.9%
장례식장 6
 
3.9%
어린이놀이시설 5
 
3.3%
산후조리원 4
 
2.6%
목욕장(찜질방 4
 
2.6%
노인요양시설 3
 
2.0%
Other values (4) 6
 
3.9%

시설명
Text

Distinct146
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:56:48.370597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.5947712
Min length3

Characters and Unicode

Total characters1315
Distinct characters264
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)90.8%

Sample

1st row시외버스터미날㈜울산정류장
2nd row남부도서관
3rd row울산도서관
4th row울산박물관
5th row의료법인혜명심의료재단 울산병원
ValueCountFrequency (%)
의료법인 4
 
2.0%
울산점 4
 
2.0%
울산남구점 3
 
1.5%
현대백화점울산점 2
 
1.0%
구인의료재단법인 2
 
1.0%
챔피언 2
 
1.0%
의 2
 
1.0%
프라우메디병원 2
 
1.0%
홈플러스(주 2
 
1.0%
울산사옥 2
 
1.0%
Other values (169) 174
87.4%
2023-12-13T02:56:48.907550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 60
 
4.6%
원 59
 
4.5%
울 54
 
4.1%
46
 
3.5%
병 42
 
3.2%
이 38
 
2.9%
어 27
 
2.1%
의 26
 
2.0%
점 25
 
1.9%
린 24
 
1.8%
Other values (254) 914
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1194
90.8%
Space Separator 46
 
3.5%
Uppercase Letter 41
 
3.1%
Close Punctuation 12
 
0.9%
Open Punctuation 12
 
0.9%
Other Symbol 7
 
0.5%
Decimal Number 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 60
 
5.0%
원 59
 
4.9%
울 54
 
4.5%
병 42
 
3.5%
이 38
 
3.2%
어 27
 
2.3%
의 26
 
2.2%
점 25
 
2.1%
린 24
 
2.0%
집 24
 
2.0%
Other values (234) 815
68.3%
Uppercase Letter
ValueCountFrequency (%)
C 12
29.3%
P 10
24.4%
K 5
12.2%
N 2
 
4.9%
B 2
 
4.9%
E 2
 
4.9%
U 2
 
4.9%
O 1
 
2.4%
T 1
 
2.4%
J 1
 
2.4%
Other values (3) 3
 
7.3%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1201
91.3%
Common 73
 
5.6%
Latin 41
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 60
 
5.0%
원 59
 
4.9%
울 54
 
4.5%
병 42
 
3.5%
이 38
 
3.2%
어 27
 
2.2%
의 26
 
2.2%
점 25
 
2.1%
린 24
 
2.0%
집 24
 
2.0%
Other values (235) 822
68.4%
Latin
ValueCountFrequency (%)
C 12
29.3%
P 10
24.4%
K 5
12.2%
N 2
 
4.9%
B 2
 
4.9%
E 2
 
4.9%
U 2
 
4.9%
O 1
 
2.4%
T 1
 
2.4%
J 1
 
2.4%
Other values (3) 3
 
7.3%
Common
ValueCountFrequency (%)
46
63.0%
) 12
 
16.4%
( 12
 
16.4%
. 1
 
1.4%
3 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1194
90.8%
ASCII 114
 
8.7%
None 7
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 60
 
5.0%
원 59
 
4.9%
울 54
 
4.5%
병 42
 
3.5%
이 38
 
3.2%
어 27
 
2.3%
의 26
 
2.2%
점 25
 
2.1%
린 24
 
2.0%
집 24
 
2.0%
Other values (234) 815
68.3%
ASCII
ValueCountFrequency (%)
46
40.4%
C 12
 
10.5%
) 12
 
10.5%
( 12
 
10.5%
P 10
 
8.8%
K 5
 
4.4%
N 2
 
1.8%
B 2
 
1.8%
E 2
 
1.8%
U 2
 
1.8%
Other values (9) 9
 
7.9%
None
ValueCountFrequency (%)
㈜ 7
100.0%

소재지도로명주소
Text

Distinct139
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:56:49.348223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length22.705882
Min length18

Characters and Unicode

Total characters3474
Distinct characters101
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)83.7%

Sample

1st row울산광역시 남구 화합로 133(삼산동)
2nd row울산광역시 남구 거마로13번길 6(옥동)
3rd row울산광역시 남구 꽃대나리로 140(여천동)
4th row울산광역시 남구 두왕로 277(신정동)
5th row울산광역시 남구 월평로171번길 13(신정동)
ValueCountFrequency (%)
울산광역시 153
24.1%
남구 153
24.1%
삼산로 29
 
4.6%
번영로 11
 
1.7%
대학로 9
 
1.4%
돋질로 7
 
1.1%
화합로 6
 
0.9%
수암로 6
 
0.9%
26(신정동 5
 
0.8%
중앙로 5
 
0.8%
Other values (211) 251
39.5%
2023-12-13T02:56:50.009422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
482
 
13.9%
산 227
 
6.5%
남 161
 
4.6%
동 155
 
4.5%
구 154
 
4.4%
울 154
 
4.4%
시 153
 
4.4%
역 153
 
4.4%
광 153
 
4.4%
로 152
 
4.4%
Other values (91) 1530
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2114
60.9%
Decimal Number 534
 
15.4%
Space Separator 482
 
13.9%
Open Punctuation 152
 
4.4%
Close Punctuation 152
 
4.4%
Other Punctuation 24
 
0.7%
Math Symbol 9
 
0.3%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 227
 
10.7%
남 161
 
7.6%
동 155
 
7.3%
구 154
 
7.3%
울 154
 
7.3%
시 153
 
7.2%
역 153
 
7.2%
광 153
 
7.2%
로 152
 
7.2%
삼 71
 
3.4%
Other values (75) 581
27.5%
Decimal Number
ValueCountFrequency (%)
1 128
24.0%
2 87
16.3%
3 53
9.9%
4 46
 
8.6%
6 45
 
8.4%
8 42
 
7.9%
0 39
 
7.3%
7 37
 
6.9%
5 35
 
6.6%
9 22
 
4.1%
Space Separator
ValueCountFrequency (%)
482
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2114
60.9%
Common 1360
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 227
 
10.7%
남 161
 
7.6%
동 155
 
7.3%
구 154
 
7.3%
울 154
 
7.3%
시 153
 
7.2%
역 153
 
7.2%
광 153
 
7.2%
로 152
 
7.2%
삼 71
 
3.4%
Other values (75) 581
27.5%
Common
ValueCountFrequency (%)
482
35.4%
( 152
 
11.2%
) 152
 
11.2%
1 128
 
9.4%
2 87
 
6.4%
3 53
 
3.9%
4 46
 
3.4%
6 45
 
3.3%
8 42
 
3.1%
0 39
 
2.9%
Other values (6) 134
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2114
60.9%
ASCII 1360
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
482
35.4%
( 152
 
11.2%
) 152
 
11.2%
1 128
 
9.4%
2 87
 
6.4%
3 53
 
3.9%
4 46
 
3.4%
6 45
 
3.3%
8 42
 
3.1%
0 39
 
2.9%
Other values (6) 134
 
9.9%
Hangul
ValueCountFrequency (%)
산 227
 
10.7%
남 161
 
7.6%
동 155
 
7.3%
구 154
 
7.3%
울 154
 
7.3%
시 153
 
7.2%
역 153
 
7.2%
광 153
 
7.2%
로 152
 
7.2%
삼 71
 
3.4%
Other values (75) 581
27.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-07-27 00:00:00
Maximum2023-07-27 00:00:00
2023-12-13T02:56:50.154115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:56:50.282637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T02:56:47.630204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:56:47.801643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시설군시설명소재지도로명주소데이터기준일자
0터미널시외버스터미날㈜울산정류장울산광역시 남구 화합로 133(삼산동)2023-07-27
1도서관남부도서관울산광역시 남구 거마로13번길 6(옥동)2023-07-27
2도서관울산도서관울산광역시 남구 꽃대나리로 140(여천동)2023-07-27
3박물관울산박물관울산광역시 남구 두왕로 277(신정동)2023-07-27
4의료기관의료법인혜명심의료재단 울산병원울산광역시 남구 월평로171번길 13(신정동)2023-07-27
5의료기관프라우메디병원울산광역시 남구 삼산중로 94(삼산동)2023-07-27
6의료기관(의) 내경의료재단 울산제일병원울산광역시 남구 남산로354번길 26(신정동)2023-07-27
7의료기관(의)인석의료재단 보람병원울산광역시 남구 돋질로336번길 10(삼산동)2023-07-27
8의료기관굿모닝병원울산광역시 남구 삼산로110(달동)2023-07-27
9의료기관울산미즈병원울산광역시 남구 남산로 2(무거동)2023-07-27
시설군시설명소재지도로명주소데이터기준일자
143실내주차장양우내안애팰리스울산광역시 남구 봉월로 55(신정동)2023-07-27
144실내주차장팔레드상떼울산광역시 남구 번영로 234(삼산동)2023-07-27
145실내주차장시티파라다이스울산광역시 남구 남산로 386(신정동)2023-07-27
146실내주차장번영로코아루더클래식주상복합울산광역시 남구 번영로 165(달동)2023-07-27
147실내주차장왕생이공원 공영주차장울산광역시 남구 달동 1345-62023-07-27
148실내주차장신정지웰울산광역시 남구 월평로171번길 26(신정동)2023-07-27
149목욕장(찜질방)맑은샘사우나울산광역시 남구 울밀로 2894(무거동)2023-07-27
150목욕장(찜질방)대로사우나찜질방울산광역시 남구 대학로 152(무거동)2023-07-27
151목욕장(찜질방)UBC사우나울산광역시 남구 삼산로35번길 18(신정동)2023-07-27
152목욕장(찜질방)공업탑사우나울산광역시 남구 수암로33번길 3(신정동)2023-07-27