Overview

Dataset statistics

Number of variables8
Number of observations65
Missing cells49
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory68.0 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description양평관내 게임업 및 음악업에 대한 데이터로 업종구분, 상호명, 소재지도로, 소재지지번, 연락처 등의 정보를 제공합니다.
Author경기도 양평군
URLhttps://www.data.go.kr/data/15061185/fileData.do

Alerts

데이터기준일 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
위도 has 2 (3.1%) missing valuesMissing
경도 has 2 (3.1%) missing valuesMissing
연락처 has 45 (69.2%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:57:59.362741
Analysis finished2023-12-12 10:58:01.100764
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종구분
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
노래연습장업
34 
인터넷컴퓨터게임시설제공업
21 
일반게임제공업
5 
청소년게임제공업
5 

Length

Max length13
Median length6
Mean length8.4923077
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 34
52.3%
인터넷컴퓨터게임시설제공업 21
32.3%
일반게임제공업 5
 
7.7%
청소년게임제공업 5
 
7.7%

Length

2023-12-12T19:58:01.212414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:58:01.382036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 34
52.3%
인터넷컴퓨터게임시설제공업 21
32.3%
일반게임제공업 5
 
7.7%
청소년게임제공업 5
 
7.7%

상호명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T19:58:01.730134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length7.4461538
Min length2

Characters and Unicode

Total characters484
Distinct characters159
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row제닉스 아레나 PC
2nd rowPC POPCON
3rd row뉴월드PC
4th row소울 PC방
5th rowi-Free pc방
ValueCountFrequency (%)
노래연습장 7
 
7.7%
pc 3
 
3.3%
양평본점 2
 
2.2%
pc방 2
 
2.2%
즐겨찾기 2
 
2.2%
제닉스 1
 
1.1%
우짜짜노래방 1
 
1.1%
최신문호노래방 1
 
1.1%
화이트노래연습장 1
 
1.1%
광탄패밀리노래연습장 1
 
1.1%
Other values (70) 70
76.9%
2023-12-12T19:58:02.361328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 35
 
7.2%
노 33
 
6.8%
래 31
 
6.4%
연 27
 
5.6%
습 27
 
5.6%
26
 
5.4%
P 17
 
3.5%
C 17
 
3.5%
방 11
 
2.3%
스 8
 
1.7%
Other values (149) 252
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
75.2%
Uppercase Letter 56
 
11.6%
Lowercase Letter 35
 
7.2%
Space Separator 26
 
5.4%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 35
 
9.6%
노 33
 
9.1%
래 31
 
8.5%
연 27
 
7.4%
습 27
 
7.4%
방 11
 
3.0%
스 8
 
2.2%
임 7
 
1.9%
게 7
 
1.9%
리 5
 
1.4%
Other values (115) 173
47.5%
Uppercase Letter
ValueCountFrequency (%)
P 17
30.4%
C 17
30.4%
O 3
 
5.4%
E 3
 
5.4%
F 3
 
5.4%
L 2
 
3.6%
A 2
 
3.6%
N 2
 
3.6%
Y 1
 
1.8%
T 1
 
1.8%
Other values (5) 5
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.3%
n 4
11.4%
r 4
11.4%
i 4
11.4%
c 3
8.6%
p 3
8.6%
o 2
 
5.7%
s 2
 
5.7%
g 2
 
5.7%
w 1
 
2.9%
Other values (5) 5
14.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
75.2%
Latin 91
 
18.8%
Common 29
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 35
 
9.6%
노 33
 
9.1%
래 31
 
8.5%
연 27
 
7.4%
습 27
 
7.4%
방 11
 
3.0%
스 8
 
2.2%
임 7
 
1.9%
게 7
 
1.9%
리 5
 
1.4%
Other values (115) 173
47.5%
Latin
ValueCountFrequency (%)
P 17
18.7%
C 17
18.7%
e 5
 
5.5%
n 4
 
4.4%
r 4
 
4.4%
i 4
 
4.4%
O 3
 
3.3%
E 3
 
3.3%
F 3
 
3.3%
c 3
 
3.3%
Other values (20) 28
30.8%
Common
ValueCountFrequency (%)
26
89.7%
- 1
 
3.4%
) 1
 
3.4%
( 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
75.2%
ASCII 120
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 35
 
9.6%
노 33
 
9.1%
래 31
 
8.5%
연 27
 
7.4%
습 27
 
7.4%
방 11
 
3.0%
스 8
 
2.2%
임 7
 
1.9%
게 7
 
1.9%
리 5
 
1.4%
Other values (115) 173
47.5%
ASCII
ValueCountFrequency (%)
26
21.7%
P 17
14.2%
C 17
14.2%
e 5
 
4.2%
n 4
 
3.3%
r 4
 
3.3%
i 4
 
3.3%
O 3
 
2.5%
E 3
 
2.5%
F 3
 
2.5%
Other values (24) 34
28.3%

소재지도로명주소
Text

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T19:58:02.782217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.461538
Min length17

Characters and Unicode

Total characters1330
Distinct characters78
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row경기도 양평군 양평읍 양평시장1길 18
2nd row경기도 양평군 양평읍 양평시장길 14-1
3rd row경기도 양평군 용문면 용문시장5길 5
4th row경기도 양평군 양평읍 양근로 197-2
5th row경기도 양평군 용문면 용문로371번길 2
ValueCountFrequency (%)
경기도 65
19.9%
양평군 65
19.9%
양평읍 27
 
8.3%
용문면 16
 
4.9%
양근로 8
 
2.4%
양서면 7
 
2.1%
양평시장길 6
 
1.8%
3 5
 
1.5%
용문로 5
 
1.5%
개군면 5
 
1.5%
Other values (91) 118
36.1%
2023-12-12T19:58:03.423093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
19.7%
양 128
 
9.6%
평 108
 
8.1%
군 71
 
5.3%
경 67
 
5.0%
기 65
 
4.9%
도 65
 
4.9%
1 47
 
3.5%
길 44
 
3.3%
면 38
 
2.9%
Other values (68) 435
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
65.0%
Space Separator 262
 
19.7%
Decimal Number 190
 
14.3%
Dash Punctuation 14
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 128
14.8%
평 108
12.5%
군 71
 
8.2%
경 67
 
7.8%
기 65
 
7.5%
도 65
 
7.5%
길 44
 
5.1%
면 38
 
4.4%
로 34
 
3.9%
문 32
 
3.7%
Other values (56) 212
24.5%
Decimal Number
ValueCountFrequency (%)
1 47
24.7%
2 25
13.2%
3 23
12.1%
5 22
11.6%
7 18
 
9.5%
4 15
 
7.9%
8 13
 
6.8%
0 12
 
6.3%
6 8
 
4.2%
9 7
 
3.7%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
65.0%
Common 466
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 128
14.8%
평 108
12.5%
군 71
 
8.2%
경 67
 
7.8%
기 65
 
7.5%
도 65
 
7.5%
길 44
 
5.1%
면 38
 
4.4%
로 34
 
3.9%
문 32
 
3.7%
Other values (56) 212
24.5%
Common
ValueCountFrequency (%)
262
56.2%
1 47
 
10.1%
2 25
 
5.4%
3 23
 
4.9%
5 22
 
4.7%
7 18
 
3.9%
4 15
 
3.2%
- 14
 
3.0%
8 13
 
2.8%
0 12
 
2.6%
Other values (2) 15
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
65.0%
ASCII 466
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
56.2%
1 47
 
10.1%
2 25
 
5.4%
3 23
 
4.9%
5 22
 
4.7%
7 18
 
3.9%
4 15
 
3.2%
- 14
 
3.0%
8 13
 
2.8%
0 12
 
2.6%
Other values (2) 15
 
3.2%
Hangul
ValueCountFrequency (%)
양 128
14.8%
평 108
12.5%
군 71
 
8.2%
경 67
 
7.8%
기 65
 
7.5%
도 65
 
7.5%
길 44
 
5.1%
면 38
 
4.4%
로 34
 
3.9%
문 32
 
3.7%
Other values (56) 212
24.5%

소재지지번주소
Text

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T19:58:03.817119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length21.323077
Min length19

Characters and Unicode

Total characters1386
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st row경기도 양평군 양평읍 양근리 410-43
2nd row경기도 양평군 양평읍 양근리 361-9
3rd row경기도 양평군 용문면 다문리 322-7
4th row경기도 양평군 양평읍 양근리 308-1
5th row경기도 양평군 용문면 다문리 331-17
ValueCountFrequency (%)
경기도 65
19.8%
양평군 65
19.8%
양평읍 29
 
8.8%
양근리 24
 
7.3%
용문면 16
 
4.9%
다문리 12
 
3.7%
양서면 7
 
2.1%
양수리 5
 
1.5%
개군면 3
 
0.9%
180-5 2
 
0.6%
Other values (87) 100
30.5%
2023-12-12T19:58:04.490772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
19.2%
양 132
 
9.5%
평 96
 
6.9%
군 68
 
4.9%
도 67
 
4.8%
경 65
 
4.7%
리 65
 
4.7%
기 65
 
4.7%
- 62
 
4.5%
3 43
 
3.1%
Other values (60) 457
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
56.7%
Decimal Number 272
 
19.6%
Space Separator 266
 
19.2%
Dash Punctuation 62
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 132
16.8%
평 96
12.2%
군 68
8.7%
도 67
8.5%
경 65
8.3%
리 65
8.3%
기 65
8.3%
면 36
 
4.6%
문 30
 
3.8%
읍 29
 
3.7%
Other values (48) 133
16.9%
Decimal Number
ValueCountFrequency (%)
3 43
15.8%
4 42
15.4%
1 36
13.2%
2 31
11.4%
5 23
8.5%
9 23
8.5%
7 23
8.5%
0 22
8.1%
6 18
6.6%
8 11
 
4.0%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
56.7%
Common 600
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 132
16.8%
평 96
12.2%
군 68
8.7%
도 67
8.5%
경 65
8.3%
리 65
8.3%
기 65
8.3%
면 36
 
4.6%
문 30
 
3.8%
읍 29
 
3.7%
Other values (48) 133
16.9%
Common
ValueCountFrequency (%)
266
44.3%
- 62
 
10.3%
3 43
 
7.2%
4 42
 
7.0%
1 36
 
6.0%
2 31
 
5.2%
5 23
 
3.8%
9 23
 
3.8%
7 23
 
3.8%
0 22
 
3.7%
Other values (2) 29
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
56.7%
ASCII 600
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
44.3%
- 62
 
10.3%
3 43
 
7.2%
4 42
 
7.0%
1 36
 
6.0%
2 31
 
5.2%
5 23
 
3.8%
9 23
 
3.8%
7 23
 
3.8%
0 22
 
3.7%
Other values (2) 29
 
4.8%
Hangul
ValueCountFrequency (%)
양 132
16.8%
평 96
12.2%
군 68
8.7%
도 67
8.5%
경 65
8.3%
리 65
8.3%
기 65
8.3%
면 36
 
4.6%
문 30
 
3.8%
읍 29
 
3.7%
Other values (48) 133
16.9%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct60
Distinct (%)95.2%
Missing2
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean37.496197
Minimum37.41767
Maximum37.603757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:58:04.751873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.41767
5-th percentile37.432137
Q137.483557
median37.490231
Q337.495676
95-th percentile37.565724
Maximum37.603757
Range0.18608703
Interquartile range (IQR)0.012118847

Descriptive statistics

Standard deviation0.036125213
Coefficient of variation (CV)0.00096343672
Kurtosis1.8024756
Mean37.496197
Median Absolute Deviation (MAD)0.0067446072
Skewness0.80875592
Sum2362.2604
Variance0.001305031
MonotonicityNot monotonic
2023-12-12T19:58:04.971487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4851457273 2
 
3.1%
37.4905098176 2
 
3.1%
37.4692360696 2
 
3.1%
37.4881741569 1
 
1.5%
37.4683575128 1
 
1.5%
37.4598942648 1
 
1.5%
37.4908011101 1
 
1.5%
37.5068127976 1
 
1.5%
37.5805526675 1
 
1.5%
37.5955592821 1
 
1.5%
Other values (50) 50
76.9%
(Missing) 2
 
3.1%
ValueCountFrequency (%)
37.4176699387 1
1.5%
37.4198407181 1
1.5%
37.4240819733 1
1.5%
37.4290530638 1
1.5%
37.4598942648 1
1.5%
37.4683575128 1
1.5%
37.4692360696 2
3.1%
37.4743088317 1
1.5%
37.4752210182 1
1.5%
37.4785218267 1
1.5%
ValueCountFrequency (%)
37.6037569662 1
1.5%
37.5955592821 1
1.5%
37.5805526675 1
1.5%
37.5669431023 1
1.5%
37.5547515755 1
1.5%
37.5450733308 1
1.5%
37.5447068532 1
1.5%
37.5446276326 1
1.5%
37.5446237923 1
1.5%
37.5445276931 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct60
Distinct (%)95.2%
Missing2
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean127.51503
Minimum127.31788
Maximum127.75591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-12T19:58:05.210886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.31788
5-th percentile127.31986
Q1127.48958
median127.49234
Q3127.59368
95-th percentile127.64135
Maximum127.75591
Range0.43803782
Interquartile range (IQR)0.104102

Descriptive statistics

Standard deviation0.10048699
Coefficient of variation (CV)0.00078804034
Kurtosis0.31041101
Mean127.51503
Median Absolute Deviation (MAD)0.052713926
Skewness-0.12213261
Sum8033.4468
Variance0.010097634
MonotonicityNot monotonic
2023-12-12T19:58:05.438486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5951790097 2
 
3.1%
127.4921735246 2
 
3.1%
127.5326578286 2
 
3.1%
127.5957145663 1
 
1.5%
127.5320358623 1
 
1.5%
127.592456486 1
 
1.5%
127.4885920997 1
 
1.5%
127.6307947252 1
 
1.5%
127.6418933282 1
 
1.5%
127.3502489794 1
 
1.5%
Other values (50) 50
76.9%
(Missing) 2
 
3.1%
ValueCountFrequency (%)
127.3178752405 1
1.5%
127.3185261474 1
1.5%
127.3196194386 1
1.5%
127.3197948114 1
1.5%
127.3204048417 1
1.5%
127.3242892938 1
1.5%
127.3502489794 1
1.5%
127.3531320359 1
1.5%
127.4004355076 1
1.5%
127.4196719761 1
1.5%
ValueCountFrequency (%)
127.7559130585 1
1.5%
127.7542477259 1
1.5%
127.7096544614 1
1.5%
127.6418933282 1
1.5%
127.6364371189 1
1.5%
127.6328512368 1
1.5%
127.6307947252 1
1.5%
127.5957797497 1
1.5%
127.5957145663 1
1.5%
127.5955218304 1
1.5%

연락처
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing45
Missing (%)69.2%
Memory size652.0 B
2023-12-12T19:58:05.704059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05
Min length12

Characters and Unicode

Total characters241
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

Unique20 ?
Unique (%)100.0%

Sample

1st row031-775-1098
2nd row070-4685-1379
3rd row031-774-9877
4th row031-774-2012
5th row031-775-5335
ValueCountFrequency (%)
031-771-9475 1
 
5.0%
031-774-9877 1
 
5.0%
031-773-1043 1
 
5.0%
031-772-6789 1
 
5.0%
031-771-0090 1
 
5.0%
031-775-4725 1
 
5.0%
031-772-9988 1
 
5.0%
031-771-3663 1
 
5.0%
031-774-8269 1
 
5.0%
031-774-3838 1
 
5.0%
Other values (10) 10
50.0%
2023-12-12T19:58:06.145601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 48
19.9%
- 40
16.6%
1 33
13.7%
0 31
12.9%
3 31
12.9%
5 12
 
5.0%
9 11
 
4.6%
2 11
 
4.6%
8 10
 
4.1%
4 9
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.4%
Dash Punctuation 40
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 48
23.9%
1 33
16.4%
0 31
15.4%
3 31
15.4%
5 12
 
6.0%
9 11
 
5.5%
2 11
 
5.5%
8 10
 
5.0%
4 9
 
4.5%
6 5
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 48
19.9%
- 40
16.6%
1 33
13.7%
0 31
12.9%
3 31
12.9%
5 12
 
5.0%
9 11
 
4.6%
2 11
 
4.6%
8 10
 
4.1%
4 9
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 48
19.9%
- 40
16.6%
1 33
13.7%
0 31
12.9%
3 31
12.9%
5 12
 
5.0%
9 11
 
4.6%
2 11
 
4.6%
8 10
 
4.1%
4 9
 
3.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-10-27
65 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-27
2nd row2023-10-27
3rd row2023-10-27
4th row2023-10-27
5th row2023-10-27

Common Values

ValueCountFrequency (%)
2023-10-27 65
100.0%

Length

2023-12-12T19:58:06.316376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:58:06.433620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-27 65
100.0%

Interactions

2023-12-12T19:58:00.279458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:57:59.939113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:58:00.450264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:58:00.124245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:58:06.507592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종구분상호명소재지도로명주소소재지지번주소위도경도연락처
업종구분1.0001.0000.0000.0000.2510.0001.000
상호명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.0001.0001.0001.0001.0001.0001.000
소재지지번주소0.0001.0001.0001.0001.0001.0001.000
위도0.2511.0001.0001.0001.0000.8971.000
경도0.0001.0001.0001.0000.8971.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
2023-12-12T19:58:06.654257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종구분
위도1.000-0.6230.149
경도-0.6231.0000.000
업종구분0.1490.0001.000

Missing values

2023-12-12T19:58:00.658109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:58:00.853089image/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.
2023-12-12T19:58:01.026696image/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

업종구분상호명소재지도로명주소소재지지번주소위도경도연락처데이터기준일
0인터넷컴퓨터게임시설제공업제닉스 아레나 PC경기도 양평군 양평읍 양평시장1길 18경기도 양평군 양평읍 양근리 410-4337.490195127.491063031-775-10982023-10-27
1인터넷컴퓨터게임시설제공업PC POPCON경기도 양평군 양평읍 양평시장길 14-1경기도 양평군 양평읍 양근리 361-937.49051127.492174070-4685-13792023-10-27
2인터넷컴퓨터게임시설제공업뉴월드PC경기도 양평군 용문면 용문시장5길 5경기도 양평군 용문면 다문리 322-737.485146127.595179<NA>2023-10-27
3인터넷컴퓨터게임시설제공업소울 PC방경기도 양평군 양평읍 양근로 197-2경기도 양평군 양평읍 양근리 308-137.489407127.491561<NA>2023-10-27
4인터넷컴퓨터게임시설제공업i-Free pc방경기도 양평군 용문면 용문로371번길 2경기도 양평군 용문면 다문리 331-1737.485503127.594597<NA>2023-10-27
5인터넷컴퓨터게임시설제공업뮤토PC방경기도 양평군 양평읍 시민로 29경기도 양평군 양평읍 양근리 180-537.490354127.494752031-774-98772023-10-27
6인터넷컴퓨터게임시설제공업하늘다리PC방경기도 양평군 용문면 용문역길 22경기도 양평군 용문면 다문리 737-6237.482745127.593836031-774-20122023-10-27
7인터넷컴퓨터게임시설제공업SWEET PC CAFE경기도 양평군 용문면 용문역길 3경기도 양평군 용문면 다문리 731-1437.48395127.593519031-775-53352023-10-27
8인터넷컴퓨터게임시설제공업아이센스리그PC 양평본점경기도 양평군 양평읍 양근로 177경기도 양평군 양평읍 양근리 417-137.49061127.489626<NA>2023-10-27
9인터넷컴퓨터게임시설제공업GND ComFunny경기도 양평군 양평읍 봉성길 110경기도 양평군 양평읍 봉성리 336-437.474309127.545056<NA>2023-10-27
업종구분상호명소재지도로명주소소재지지번주소위도경도연락처데이터기준일
55노래연습장업국수청계산노래연습장경기도 양평군 양서면 경강로 1027경기도 양평군 양서면 국수리 328-837.511821127.400436031-775-11332023-10-27
56노래연습장업맘마미아 노래연습장경기도 양평군 양평읍 시민로 47경기도 양평군 양평읍 양근리 175-737.490809127.496935<NA>2023-10-27
57노래연습장업최고노래연습장경기도 양평군 양평읍 양평대교길 3경기도 양평군 양평읍 양근리 263-437.487496127.491967<NA>2023-10-27
58노래연습장업비상노래연습장경기도 양평군 개군면 하자포길 10경기도 양평군 개군면 상자포리 404-1237.424082127.538685<NA>2023-10-27
59노래연습장업YP코인 노래연습장경기도 양평군 양평읍 양평시장길17번길 12-2경기도 양평군 양평읍 양근리 35037.489537127.491063<NA>2023-10-27
60노래연습장업singer song writer 코인노래연습장경기도 양평군 양서면 양수로 163-1경기도 양평군 양서면 양수리 563-837.544707127.317875<NA>2023-10-27
61노래연습장업행운노래연습장경기도 양평군 용문면 용문시장5길 5경기도 양평군 용문면 다문리 322-737.485146127.595179<NA>2023-10-27
62노래연습장업불름노래연습장경기도 양평군 강하면 강남로 316-5경기도 양평군 강하면 전수리 566-937.500197127.419672<NA>2023-10-27
63노래연습장업랑데뷰노래연습장경기도 양평군 용문면 용문로 346-1경기도 양평군 용문면 다문리 740-737.483487127.592798<NA>2023-10-27
64노래연습장업호텔 노래연습장경기도 양평군 양평읍 해오름길 37경기도 양평군 양평읍 양근리 443-337.490426127.488855<NA>2023-10-27