Overview

Dataset statistics

Number of variables13
Number of observations64
Missing cells34
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory112.1 B

Variable types

Text4
Numeric6
Boolean1
Categorical2

Dataset

Description울산광역시의 유원시설 현황(업체명, 분류, 소재지, 총기종수, 검사 대상, 검사 비대상 등) 정보를 제공하고 있음.
URLhttps://www.data.go.kr/data/15083096/fileData.do

Alerts

위도 is highly overall correlated with 구분High correlation
경도 is highly overall correlated with 구분High correlation
총기종수 is highly overall correlated with 검사 비대상High correlation
검사대상 is highly overall correlated with 물놀이업체(Y-N) and 1 other fieldsHigh correlation
검사 비대상 is highly overall correlated with 총기종수High correlation
연번 is highly overall correlated with 구분High correlation
물놀이업체(Y-N) is highly overall correlated with 검사대상High correlation
구분 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
분류 is highly overall correlated with 검사대상High correlation
물놀이업체(Y-N) is highly imbalanced (88.4%)Imbalance
전화번호 has 14 (21.9%) missing valuesMissing
운영시간 has 20 (31.2%) missing valuesMissing
연번 has unique valuesUnique
검사대상 has 56 (87.5%) zerosZeros
검사 비대상 has 2 (3.1%) zerosZeros

Reproduction

Analysis started2023-12-12 14:54:46.431293
Analysis finished2023-12-12 14:54:52.014570
Duration5.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T23:54:52.243293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.265625
Min length3

Characters and Unicode

Total characters465
Distinct characters178
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)93.8%

Sample

1st row노리존울산점
2nd row스펀지카니발랜드
3rd row드림방방
4th row아이사랑방방
5th row타요키즈카폐(울산 젊음의거리점)
ValueCountFrequency (%)
꼬마대통령 4
 
4.6%
키즈카페 3
 
3.4%
플레이타임 2
 
2.3%
쁘띠몽드 2
 
2.3%
샤랄랄라 2
 
2.3%
노리파크 2
 
2.3%
아이사랑방방 2
 
2.3%
울산 2
 
2.3%
리틀비틀키즈카페 1
 
1.1%
플레이 1
 
1.1%
Other values (66) 66
75.9%
2023-12-12T23:54:52.743812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
4.9%
키 15
 
3.2%
즈 15
 
3.2%
점 14
 
3.0%
이 13
 
2.8%
카 12
 
2.6%
아 11
 
2.4%
울 10
 
2.2%
리 10
 
2.2%
페 10
 
2.2%
Other values (168) 332
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
89.5%
Space Separator 23
 
4.9%
Lowercase Letter 8
 
1.7%
Open Punctuation 6
 
1.3%
Close Punctuation 6
 
1.3%
Uppercase Letter 5
 
1.1%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
키 15
 
3.6%
즈 15
 
3.6%
점 14
 
3.4%
이 13
 
3.1%
카 12
 
2.9%
아 11
 
2.6%
울 10
 
2.4%
리 10
 
2.4%
페 10
 
2.4%
드 10
 
2.4%
Other values (152) 296
71.2%
Lowercase Letter
ValueCountFrequency (%)
u 2
25.0%
a 1
12.5%
e 1
12.5%
f 1
12.5%
z 1
12.5%
k 1
12.5%
c 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
C 1
20.0%
L 1
20.0%
J 1
20.0%
P 1
20.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
89.7%
Common 35
 
7.5%
Latin 13
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 15
 
3.6%
즈 15
 
3.6%
점 14
 
3.4%
이 13
 
3.1%
카 12
 
2.9%
아 11
 
2.6%
울 10
 
2.4%
리 10
 
2.4%
페 10
 
2.4%
드 10
 
2.4%
Other values (153) 297
71.2%
Latin
ValueCountFrequency (%)
u 2
15.4%
S 1
7.7%
a 1
7.7%
e 1
7.7%
f 1
7.7%
C 1
7.7%
z 1
7.7%
k 1
7.7%
c 1
7.7%
L 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
23
65.7%
( 6
 
17.1%
) 6
 
17.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
89.5%
ASCII 48
 
10.3%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
47.9%
( 6
 
12.5%
) 6
 
12.5%
u 2
 
4.2%
S 1
 
2.1%
a 1
 
2.1%
e 1
 
2.1%
f 1
 
2.1%
C 1
 
2.1%
z 1
 
2.1%
Other values (5) 5
 
10.4%
Hangul
ValueCountFrequency (%)
키 15
 
3.6%
즈 15
 
3.6%
점 14
 
3.4%
이 13
 
3.1%
카 12
 
2.9%
아 11
 
2.6%
울 10
 
2.4%
리 10
 
2.4%
페 10
 
2.4%
드 10
 
2.4%
Other values (152) 296
71.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.555036
Minimum35.392683
Maximum35.653501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:52.928968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.392683
5-th percentile35.484191
Q135.530117
median35.553269
Q335.572422
95-th percentile35.642948
Maximum35.653501
Range0.2608185
Interquartile range (IQR)0.042304698

Descriptive statistics

Standard deviation0.054453579
Coefficient of variation (CV)0.0015315293
Kurtosis0.53846271
Mean35.555036
Median Absolute Deviation (MAD)0.02236945
Skewness-0.1430573
Sum2275.5223
Variance0.0029651923
MonotonicityNot monotonic
2023-12-12T23:54:53.087035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5471406 2
 
3.1%
35.55357311 1
 
1.6%
35.6345392 1
 
1.6%
35.63328559 1
 
1.6%
35.62562994 1
 
1.6%
35.53870167 1
 
1.6%
35.63588192 1
 
1.6%
35.643278 1
 
1.6%
35.64405645 1
 
1.6%
35.562654 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
35.392683 1
1.6%
35.44009069 1
1.6%
35.440239 1
1.6%
35.48351173 1
1.6%
35.48803737 1
1.6%
35.48918305 1
1.6%
35.4905988 1
1.6%
35.49108017 1
1.6%
35.49897221 1
1.6%
35.50346859 1
1.6%
ValueCountFrequency (%)
35.6535015 1
1.6%
35.6532958 1
1.6%
35.64405645 1
1.6%
35.643278 1
1.6%
35.6410799 1
1.6%
35.6395887 1
1.6%
35.63588192 1
1.6%
35.6358667 1
1.6%
35.6350691 1
1.6%
35.635026 1
1.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.3113
Minimum129.04932
Maximum129.43899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:53.254801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.04932
5-th percentile129.09281
Q1129.29542
median129.33324
Q3129.36784
95-th percentile129.43734
Maximum129.43899
Range0.3896726
Interquartile range (IQR)0.072417125

Descriptive statistics

Standard deviation0.10838176
Coefficient of variation (CV)0.00083814612
Kurtosis0.35719665
Mean129.3113
Median Absolute Deviation (MAD)0.03869855
Skewness-1.0786327
Sum8275.9232
Variance0.011746607
MonotonicityNot monotonic
2023-12-12T23:54:53.474554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.092811 2
 
3.1%
129.31926 1
 
1.6%
129.363616 1
 
1.6%
129.3339698 1
 
1.6%
129.4375061 1
 
1.6%
129.3894322 1
 
1.6%
129.4389876 1
 
1.6%
129.3494817 1
 
1.6%
129.3483952 1
 
1.6%
129.356266 1
 
1.6%
Other values (53) 53
82.8%
ValueCountFrequency (%)
129.049315 1
1.6%
129.058796 1
1.6%
129.068798 1
1.6%
129.092811 2
3.1%
129.0988801 1
1.6%
129.108741 1
1.6%
129.1118522 1
1.6%
129.121041 1
1.6%
129.125217 1
1.6%
129.225857 1
1.6%
ValueCountFrequency (%)
129.4389876 1
1.6%
129.438951 1
1.6%
129.4386277 1
1.6%
129.4375061 1
1.6%
129.436368 1
1.6%
129.4316894 1
1.6%
129.4310633 1
1.6%
129.429783 1
1.6%
129.428734 1
1.6%
129.4274737 1
1.6%

소재지
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T23:54:53.858119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length19.359375
Min length9

Characters and Unicode

Total characters1239
Distinct characters143
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st row중구 젊음의거리44
2nd row중구 젊음의거리30-2
3rd row중구 남외3길 10, 2층 (남외동)
4th row중구 남외1길 28 (남외동)
5th row중구 젊음의2거리 33(성남동)
ValueCountFrequency (%)
울주군 16
 
5.9%
북구 14
 
5.1%
남구 13
 
4.8%
동구 11
 
4.0%
중구 10
 
3.7%
2층 8
 
2.9%
울산광역시 5
 
1.8%
10 5
 
1.8%
상북면 5
 
1.8%
3층 4
 
1.5%
Other values (155) 181
66.5%
2023-12-12T23:54:54.395036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
16.8%
1 55
 
4.4%
구 50
 
4.0%
동 48
 
3.9%
2 48
 
3.9%
3 47
 
3.8%
로 41
 
3.3%
, 39
 
3.1%
층 32
 
2.6%
) 31
 
2.5%
Other values (133) 640
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
51.3%
Decimal Number 267
21.5%
Space Separator 208
 
16.8%
Other Punctuation 40
 
3.2%
Close Punctuation 31
 
2.5%
Open Punctuation 31
 
2.5%
Uppercase Letter 13
 
1.0%
Dash Punctuation 9
 
0.7%
Math Symbol 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
7.9%
동 48
 
7.5%
로 41
 
6.4%
층 32
 
5.0%
산 23
 
3.6%
남 23
 
3.6%
울 22
 
3.5%
북 20
 
3.1%
길 19
 
3.0%
주 16
 
2.5%
Other values (108) 342
53.8%
Decimal Number
ValueCountFrequency (%)
1 55
20.6%
2 48
18.0%
3 47
17.6%
0 24
9.0%
4 24
9.0%
5 18
 
6.7%
6 16
 
6.0%
9 15
 
5.6%
7 13
 
4.9%
8 7
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
E 3
23.1%
C 3
23.1%
L 2
15.4%
G 1
 
7.7%
V 1
 
7.7%
P 1
 
7.7%
X 1
 
7.7%
D 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
. 1
 
2.5%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
51.3%
Common 590
47.6%
Latin 13
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
7.9%
동 48
 
7.5%
로 41
 
6.4%
층 32
 
5.0%
산 23
 
3.6%
남 23
 
3.6%
울 22
 
3.5%
북 20
 
3.1%
길 19
 
3.0%
주 16
 
2.5%
Other values (108) 342
53.8%
Common
ValueCountFrequency (%)
208
35.3%
1 55
 
9.3%
2 48
 
8.1%
3 47
 
8.0%
, 39
 
6.6%
) 31
 
5.3%
( 31
 
5.3%
0 24
 
4.1%
4 24
 
4.1%
5 18
 
3.1%
Other values (7) 65
 
11.0%
Latin
ValueCountFrequency (%)
E 3
23.1%
C 3
23.1%
L 2
15.4%
G 1
 
7.7%
V 1
 
7.7%
P 1
 
7.7%
X 1
 
7.7%
D 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
51.3%
ASCII 603
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
34.5%
1 55
 
9.1%
2 48
 
8.0%
3 47
 
7.8%
, 39
 
6.5%
) 31
 
5.1%
( 31
 
5.1%
0 24
 
4.0%
4 24
 
4.0%
5 18
 
3.0%
Other values (15) 78
 
12.9%
Hangul
ValueCountFrequency (%)
구 50
 
7.9%
동 48
 
7.5%
로 41
 
6.4%
층 32
 
5.0%
산 23
 
3.6%
남 23
 
3.6%
울 22
 
3.5%
북 20
 
3.1%
길 19
 
3.0%
주 16
 
2.5%
Other values (108) 342
53.8%

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing14
Missing (%)21.9%
Memory size644.0 B
2023-12-12T23:54:54.694371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.36
Min length9

Characters and Unicode

Total characters618
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row0507-1348-0492
2nd row052-291-2910
3rd row052-248-0825
4th row052-285-1235
5th row052-292-1554
ValueCountFrequency (%)
070-8872-4697 1
 
2.0%
0507-1348-0492 1
 
2.0%
052-235-9870 1
 
2.0%
0507-1389-2018 1
 
2.0%
052-294-0005 1
 
2.0%
052-292-9975 1
 
2.0%
052-283-2084 1
 
2.0%
052-281-0010 1
 
2.0%
052-292-1553 1
 
2.0%
052-286-5950 1
 
2.0%
Other values (40) 40
80.0%
2023-12-12T23:54:55.144161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 100
16.2%
- 99
16.0%
0 98
15.9%
5 86
13.9%
7 47
7.6%
1 43
7.0%
9 39
 
6.3%
3 34
 
5.5%
8 33
 
5.3%
4 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 519
84.0%
Dash Punctuation 99
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 100
19.3%
0 98
18.9%
5 86
16.6%
7 47
9.1%
1 43
8.3%
9 39
 
7.5%
3 34
 
6.6%
8 33
 
6.4%
4 21
 
4.0%
6 18
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 618
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 100
16.2%
- 99
16.0%
0 98
15.9%
5 86
13.9%
7 47
7.6%
1 43
7.0%
9 39
 
6.3%
3 34
 
5.5%
8 33
 
5.3%
4 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 100
16.2%
- 99
16.0%
0 98
15.9%
5 86
13.9%
7 47
7.6%
1 43
7.0%
9 39
 
6.3%
3 34
 
5.5%
8 33
 
5.3%
4 21
 
3.4%

운영시간
Text

MISSING 

Distinct37
Distinct (%)84.1%
Missing20
Missing (%)31.2%
Memory size644.0 B
2023-12-12T23:54:55.340256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length36
Mean length21.431818
Min length13

Characters and Unicode

Total characters943
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)70.5%

Sample

1st row평일 11:30 - 22:00, 주말 09:30- 22:00
2nd row평일 14:00 - 21:00, 주말 10:00 - 21:00, 공휴일 10:00 - 21:00
3rd row평일 10:30 - 20:00, 주말 10:00 - 20:00
4th row매일 10:30 - 20:00
5th row평일 10:00 - 20:00, 주말 10:00 - 21:00
ValueCountFrequency (%)
59
26.6%
20:00 28
12.6%
10:00 21
 
9.5%
평일 14
 
6.3%
주말 14
 
6.3%
매일 12
 
5.4%
10:30 11
 
5.0%
21:00 9
 
4.1%
11:00 9
 
4.1%
18:00 8
 
3.6%
Other values (18) 37
16.7%
2023-12-12T23:54:55.685704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
31.2%
178
18.9%
: 120
12.7%
1 85
 
9.0%
- 62
 
6.6%
2 58
 
6.2%
일 28
 
3.0%
3 17
 
1.8%
, 16
 
1.7%
주 14
 
1.5%
Other values (13) 71
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
50.9%
Space Separator 178
 
18.9%
Other Punctuation 136
 
14.4%
Other Letter 87
 
9.2%
Dash Punctuation 62
 
6.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 28
32.2%
주 14
16.1%
평 14
16.1%
말 14
16.1%
매 12
13.8%
월 1
 
1.1%
목 1
 
1.1%
금 1
 
1.1%
공 1
 
1.1%
휴 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 294
61.3%
1 85
 
17.7%
2 58
 
12.1%
3 17
 
3.5%
8 9
 
1.9%
9 8
 
1.7%
4 4
 
0.8%
6 3
 
0.6%
5 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 120
88.2%
, 16
 
11.8%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 856
90.8%
Hangul 87
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
34.3%
178
20.8%
: 120
14.0%
1 85
 
9.9%
- 62
 
7.2%
2 58
 
6.8%
3 17
 
2.0%
, 16
 
1.9%
8 9
 
1.1%
9 8
 
0.9%
Other values (3) 9
 
1.1%
Hangul
ValueCountFrequency (%)
일 28
32.2%
주 14
16.1%
평 14
16.1%
말 14
16.1%
매 12
13.8%
월 1
 
1.1%
목 1
 
1.1%
금 1
 
1.1%
공 1
 
1.1%
휴 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 856
90.8%
Hangul 87
 
9.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
34.3%
178
20.8%
: 120
14.0%
1 85
 
9.9%
- 62
 
7.2%
2 58
 
6.8%
3 17
 
2.0%
, 16
 
1.9%
8 9
 
1.1%
9 8
 
0.9%
Other values (3) 9
 
1.1%
Hangul
ValueCountFrequency (%)
일 28
32.2%
주 14
16.1%
평 14
16.1%
말 14
16.1%
매 12
13.8%
월 1
 
1.1%
목 1
 
1.1%
금 1
 
1.1%
공 1
 
1.1%
휴 1
 
1.1%

물놀이업체(Y-N)
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size196.0 B
False
63 
True
 
1
ValueCountFrequency (%)
False 63
98.4%
True 1
 
1.6%
2023-12-12T23:54:55.840327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총기종수
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.171875
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:55.962449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum38
Range37
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.1472128
Coefficient of variation (CV)1.6227666
Kurtosis34.384495
Mean3.171875
Median Absolute Deviation (MAD)1
Skewness5.4308798
Sum203
Variance26.4938
MonotonicityNot monotonic
2023-12-12T23:54:56.085920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 24
37.5%
2 20
31.2%
3 8
 
12.5%
4 3
 
4.7%
7 2
 
3.1%
5 2
 
3.1%
6 2
 
3.1%
38 1
 
1.6%
16 1
 
1.6%
13 1
 
1.6%
ValueCountFrequency (%)
1 24
37.5%
2 20
31.2%
3 8
 
12.5%
4 3
 
4.7%
5 2
 
3.1%
6 2
 
3.1%
7 2
 
3.1%
13 1
 
1.6%
16 1
 
1.6%
38 1
 
1.6%
ValueCountFrequency (%)
38 1
 
1.6%
16 1
 
1.6%
13 1
 
1.6%
7 2
 
3.1%
6 2
 
3.1%
5 2
 
3.1%
4 3
 
4.7%
3 8
 
12.5%
2 20
31.2%
1 24
37.5%

검사대상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.359375
Minimum0
Maximum6
Zeros56
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:56.191534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.85
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1597371
Coefficient of variation (CV)3.2270945
Kurtosis13.346505
Mean0.359375
Median Absolute Deviation (MAD)0
Skewness3.6626067
Sum23
Variance1.3449901
MonotonicityNot monotonic
2023-12-12T23:54:56.304228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 56
87.5%
1 3
 
4.7%
4 1
 
1.6%
6 1
 
1.6%
2 1
 
1.6%
5 1
 
1.6%
3 1
 
1.6%
ValueCountFrequency (%)
0 56
87.5%
1 3
 
4.7%
2 1
 
1.6%
3 1
 
1.6%
4 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
5 1
 
1.6%
4 1
 
1.6%
3 1
 
1.6%
2 1
 
1.6%
1 3
 
4.7%
0 56
87.5%

검사 비대상
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8125
Minimum0
Maximum38
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:56.438992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile6.85
Maximum38
Range38
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.1451163
Coefficient of variation (CV)1.8293747
Kurtosis36.089793
Mean2.8125
Median Absolute Deviation (MAD)1
Skewness5.6324646
Sum180
Variance26.472222
MonotonicityNot monotonic
2023-12-12T23:54:56.570449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 27
42.2%
2 20
31.2%
3 8
 
12.5%
0 2
 
3.1%
38 1
 
1.6%
7 1
 
1.6%
16 1
 
1.6%
4 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
0 2
 
3.1%
1 27
42.2%
2 20
31.2%
3 8
 
12.5%
4 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
13 1
 
1.6%
16 1
 
1.6%
ValueCountFrequency (%)
38 1
 
1.6%
16 1
 
1.6%
13 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
4 1
 
1.6%
3 8
 
12.5%
2 20
31.2%
1 27
42.2%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
울주군
16 
북구
14 
남구
13 
동구
11 
중구
10 

Length

Max length3
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
울주군 16
25.0%
북구 14
21.9%
남구 13
20.3%
동구 11
17.2%
중구 10
15.6%

Length

2023-12-12T23:54:56.686439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:54:56.793776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 16
25.0%
북구 14
21.9%
남구 13
20.3%
동구 11
17.2%
중구 10
15.6%

분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
기타
56 
일반
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 56
87.5%
일반 8
 
12.5%

Length

2023-12-12T23:54:56.906346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:54:57.003096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 56
87.5%
일반 8
 
12.5%

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T23:54:57.116986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2023-12-12T23:54:57.246924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

Interactions

2023-12-12T23:54:50.588733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.277110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.971864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.589234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.225935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.874434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.677569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.407161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.075350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.678115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.330753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.971960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.799452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.547062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.190606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.806074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.460809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.107381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.926558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.666728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.294461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.915791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.546531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.229640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:51.016930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.760231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.388978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.012328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.661016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.345945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:51.125851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:47.863157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:48.487673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.118805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:49.770091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:54:50.476499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:54:57.346137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명위도경도소재지전화번호운영시간물놀이업체(Y-N)총기종수검사대상검사 비대상구분분류연번
업체명1.0000.0000.0000.9931.0000.9771.0001.0001.0001.0000.6921.0000.852
위도0.0001.0000.3601.0001.0000.3200.0000.0000.0000.0000.7940.0770.669
경도0.0000.3601.0001.0001.0000.9040.0000.2810.3270.2690.7550.3080.593
소재지0.9931.0001.0001.0001.0001.0001.0000.0000.0000.0001.0000.0000.937
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영시간0.9770.3200.9041.0001.0001.0001.0001.0001.0001.0000.5851.0000.800
물놀이업체(Y-N)1.0000.0000.0001.0001.0001.0001.0000.2551.0000.0000.0000.1090.159
총기종수1.0000.0000.2810.0001.0001.0000.2551.0000.2650.9960.0000.2300.000
검사대상1.0000.0000.3270.0001.0001.0001.0000.2651.0000.0000.0001.0000.218
검사 비대상1.0000.0000.2690.0001.0001.0000.0000.9960.0001.0000.0000.0000.000
구분0.6920.7940.7551.0001.0000.5850.0000.0000.0000.0001.0000.2160.989
분류1.0000.0770.3080.0001.0001.0000.1090.2301.0000.0000.2161.0000.606
연번0.8520.6690.5930.9371.0000.8000.1590.0000.2180.0000.9890.6061.000
2023-12-12T23:54:57.468921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
물놀이업체(Y-N)분류구분
물놀이업체(Y-N)1.0000.0680.000
분류0.0681.0000.255
구분0.0000.2551.000
2023-12-12T23:54:57.559191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도총기종수검사대상검사 비대상연번물놀이업체(Y-N)구분분류
위도1.000-0.140-0.166-0.189-0.0340.2010.0000.5950.057
경도-0.1401.0000.009-0.2510.166-0.3140.0000.5830.161
총기종수-0.1660.0091.0000.2790.769-0.2240.3020.0000.272
검사대상-0.189-0.2510.2791.000-0.335-0.1480.9590.0000.959
검사 비대상-0.0340.1660.769-0.3351.000-0.1380.0000.0000.000
연번0.201-0.314-0.224-0.148-0.1381.0000.1040.8100.436
물놀이업체(Y-N)0.0000.0000.3020.9590.0000.1041.0000.0000.068
구분0.5950.5830.0000.0000.0000.8100.0001.0000.255
분류0.0570.1610.2720.9590.0000.4360.0680.2551.000

Missing values

2023-12-12T23:54:51.304524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:54:51.493253image/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.
2023-12-12T23:54:51.955629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업체명위도경도소재지전화번호운영시간물놀이업체(Y-N)총기종수검사대상검사 비대상구분분류연번
0노리존울산점35.553573129.31926중구 젊음의거리440507-1348-0492평일 11:30 - 22:00, 주말 09:30- 22:00N110중구일반1
1스펀지카니발랜드35.553371129.318154중구 젊음의거리30-2<NA><NA>N38038중구기타2
2드림방방35.565381129.350666중구 남외3길 10, 2층 (남외동)052-291-2910평일 14:00 - 21:00, 주말 10:00 - 21:00, 공휴일 10:00 - 21:00N202중구기타3
3아이사랑방방35.564583129.350628중구 남외1길 28 (남외동)<NA><NA>N202중구기타4
4타요키즈카폐(울산 젊음의거리점)35.553167129.320389중구 젊음의2거리 33(성남동)052-248-0825평일 10:30 - 20:00, 주말 10:00 - 20:00N202중구기타5
5벨롱비35.579875129.338918중구 종가로 641,214~216호(서동)052-285-1235매일 10:30 - 20:00N303중구기타6
6아이와 키즈 랜드35.581069129.33958중구 종가로 657, 3~4층(서동)052-292-1554평일 10:00 - 20:00, 주말 10:00 - 21:00N707중구기타7
7리틀치프 울산점35.564505129.33475중구 번영로 475, 3층 C3호(복산동)0507-1357-072710:00 - 22:00N303중구기타8
8달구소35.56027129.296297중구 종가2길 5-13, 1층 (유곡동)052-212-8899<NA>N101중구기타9
9캐니언스낵35.554402129.320675울산광역시 중구 만남의거리 15, 4층 (성남동)<NA><NA>N303중구기타10
업체명위도경도소재지전화번호운영시간물놀이업체(Y-N)총기종수검사대상검사 비대상구분분류연번
54천리안캠프힐35.64108129.058796울주군 상북면 삽재4길 5<NA><NA>N101울주군기타55
55블루코코키즈카페35.567659129.125217울주군 언양읍 동문길 33, 1층052-911-1415<NA>N101울주군기타56
56꼬마대통령35.573648129.24138울주군 범서읍 구영로 100, 구영프라자 702,703호052-245-577914:00 - 21:00N202울주군기타57
57좋은맘카페35.572013129.121041울주군 언양읍 북문8길 3, 2층0507-1330-3318<NA>N101울주군기타58
58더캠프35.635069129.049315울주군 상북면 삽재로 4200507-1347-1358<NA>N101울주군기타59
59호림태권도35.563492129.225857울주군 범서읍 천상6길 24-13052-211-8187<NA>N101울주군기타60
60㈜키디랜드35.547141129.092811울주군 상북면 자수정로 212<NA><NA>N13013울주군기타61
61퍼플키즈카페 언양점35.549129.108741울산광역시 울주군 삼남읍 등억알프스로 64, 1층<NA><NA>N101울주군기타62
62라라스테이35.554031129.259974울산광역시 울주군 범서읍 굴화2길 34, 2층 201호<NA><NA>N202울주군기타63
63주식회사 어메이징캠프35.392683129.30575울산광역시 울주군 서생면 위양로 441<NA><NA>N101울주군기타64