Overview

Dataset statistics

Number of variables8
Number of observations578
Missing cells362
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.9 KiB
Average record size in memory67.2 B

Variable types

Numeric3
Text4
Categorical1

Dataset

Description인천광역시 미추홀구의 관내신고 체육시설에 대한 데이터로 연번, 상호명,구분, 도로명주소, 지번주소, 전화번호, 좌표값을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15071413&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
도로명주소 has 23 (4.0%) missing valuesMissing
지번주소 has 20 (3.5%) missing valuesMissing
전화번호 has 291 (50.3%) missing valuesMissing
위도 has 14 (2.4%) missing valuesMissing
경도 has 14 (2.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:59:24.119879
Analysis finished2024-01-28 08:59:25.987346
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct578
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.5
Minimum1
Maximum578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-01-28T17:59:26.057389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.85
Q1145.25
median289.5
Q3433.75
95-th percentile549.15
Maximum578
Range577
Interquartile range (IQR)288.5

Descriptive statistics

Standard deviation166.9985
Coefficient of variation (CV)0.57685148
Kurtosis-1.2
Mean289.5
Median Absolute Deviation (MAD)144.5
Skewness0
Sum167331
Variance27888.5
MonotonicityStrictly increasing
2024-01-28T17:59:26.167440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
435 1
 
0.2%
383 1
 
0.2%
384 1
 
0.2%
385 1
 
0.2%
386 1
 
0.2%
387 1
 
0.2%
388 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
Other values (568) 568
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
578 1
0.2%
577 1
0.2%
576 1
0.2%
575 1
0.2%
574 1
0.2%
573 1
0.2%
572 1
0.2%
571 1
0.2%
570 1
0.2%
569 1
0.2%

상호명
Text

Distinct540
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-01-28T17:59:26.435436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.9723183
Min length2

Characters and Unicode

Total characters4030
Distinct characters398
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

Unique510 ?
Unique (%)88.2%

Sample

1st row에이스스포츠센터
2nd row한성태권도장
3rd row합기도정도관
4th row인천대도화태권도체육관
5th row인천금강복싱체육관
ValueCountFrequency (%)
당구장 24
 
2.9%
당구클럽 23
 
2.8%
태권도장 20
 
2.4%
골프 8
 
1.0%
sbs당구클럽 7
 
0.8%
휘트니스 7
 
0.8%
아카데미 7
 
0.8%
gym 6
 
0.7%
골프존파크 6
 
0.7%
주안점 6
 
0.7%
Other values (621) 715
86.2%
2024-01-28T17:59:26.820305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 279
 
6.9%
당 266
 
6.6%
254
 
6.3%
장 246
 
6.1%
스 127
 
3.2%
도 111
 
2.8%
클 99
 
2.5%
럽 99
 
2.5%
태 90
 
2.2%
권 84
 
2.1%
Other values (388) 2375
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3416
84.8%
Uppercase Letter 260
 
6.5%
Space Separator 254
 
6.3%
Lowercase Letter 33
 
0.8%
Decimal Number 30
 
0.7%
Other Punctuation 20
 
0.5%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 279
 
8.2%
당 266
 
7.8%
장 246
 
7.2%
스 127
 
3.7%
도 111
 
3.2%
클 99
 
2.9%
럽 99
 
2.9%
태 90
 
2.6%
권 84
 
2.5%
프 63
 
1.8%
Other values (332) 1952
57.1%
Uppercase Letter
ValueCountFrequency (%)
S 45
17.3%
B 26
 
10.0%
M 20
 
7.7%
Y 18
 
6.9%
G 17
 
6.5%
K 16
 
6.2%
C 14
 
5.4%
J 13
 
5.0%
P 13
 
5.0%
T 12
 
4.6%
Other values (15) 66
25.4%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.2%
s 5
15.2%
o 4
12.1%
i 3
9.1%
r 2
 
6.1%
b 2
 
6.1%
t 2
 
6.1%
g 2
 
6.1%
e 1
 
3.0%
u 1
 
3.0%
Other values (6) 6
18.2%
Decimal Number
ValueCountFrequency (%)
0 9
30.0%
2 7
23.3%
1 6
20.0%
5 3
 
10.0%
7 2
 
6.7%
8 2
 
6.7%
4 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 11
55.0%
& 4
 
20.0%
, 3
 
15.0%
' 2
 
10.0%
Space Separator
ValueCountFrequency (%)
254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3416
84.8%
Common 321
 
8.0%
Latin 293
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 279
 
8.2%
당 266
 
7.8%
장 246
 
7.2%
스 127
 
3.7%
도 111
 
3.2%
클 99
 
2.9%
럽 99
 
2.9%
태 90
 
2.6%
권 84
 
2.5%
프 63
 
1.8%
Other values (332) 1952
57.1%
Latin
ValueCountFrequency (%)
S 45
15.4%
B 26
 
8.9%
M 20
 
6.8%
Y 18
 
6.1%
G 17
 
5.8%
K 16
 
5.5%
C 14
 
4.8%
J 13
 
4.4%
P 13
 
4.4%
T 12
 
4.1%
Other values (31) 99
33.8%
Common
ValueCountFrequency (%)
254
79.1%
. 11
 
3.4%
0 9
 
2.8%
2 7
 
2.2%
( 7
 
2.2%
) 7
 
2.2%
1 6
 
1.9%
& 4
 
1.2%
- 3
 
0.9%
5 3
 
0.9%
Other values (5) 10
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3416
84.8%
ASCII 614
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 279
 
8.2%
당 266
 
7.8%
장 246
 
7.2%
스 127
 
3.7%
도 111
 
3.2%
클 99
 
2.9%
럽 99
 
2.9%
태 90
 
2.6%
권 84
 
2.5%
프 63
 
1.8%
Other values (332) 1952
57.1%
ASCII
ValueCountFrequency (%)
254
41.4%
S 45
 
7.3%
B 26
 
4.2%
M 20
 
3.3%
Y 18
 
2.9%
G 17
 
2.8%
K 16
 
2.6%
C 14
 
2.3%
J 13
 
2.1%
P 13
 
2.1%
Other values (46) 178
29.0%

구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
당구장업
281 
체육도장업
129 
체력단련장업
91 
골프연습장업
40 
가상체험 체육시설업
 
15
Other values (4)
 
22

Length

Max length10
Median length6
Mean length4.866782
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row수영장업
2nd row체육도장업
3rd row체육도장업
4th row체육도장업
5th row체육도장업

Common Values

ValueCountFrequency (%)
당구장업 281
48.6%
체육도장업 129
22.3%
체력단련장업 91
 
15.7%
골프연습장업 40
 
6.9%
가상체험 체육시설업 15
 
2.6%
체육교습업 12
 
2.1%
무도학원업 8
 
1.4%
수영장업 1
 
0.2%
썰매장업 1
 
0.2%

Length

2024-01-28T17:59:26.947298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:59:27.050050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 281
47.4%
체육도장업 129
21.8%
체력단련장업 91
 
15.3%
골프연습장업 40
 
6.7%
가상체험 15
 
2.5%
체육시설업 15
 
2.5%
체육교습업 12
 
2.0%
무도학원업 8
 
1.3%
수영장업 1
 
0.2%
썰매장업 1
 
0.2%

도로명주소
Text

MISSING 

Distinct537
Distinct (%)96.8%
Missing23
Missing (%)4.0%
Memory size4.6 KiB
2024-01-28T17:59:27.308924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length30.025225
Min length22

Characters and Unicode

Total characters16664
Distinct characters217
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)93.9%

Sample

1st row인천광역시 미추홀구 경인로 434 (주안동)
2nd row인천광역시 미추홀구 아암대로29번길 56, 2층 (용현동)
3rd row인천광역시 미추홀구 경인로 337-1 (주안동)
4th row인천광역시 미추홀구 경인로252번길 12 (도화동)
5th row인천광역시 미추홀구 경인로 116, 형제빌딩 (숭의동)
ValueCountFrequency (%)
인천광역시 555
 
17.2%
미추홀구 555
 
17.2%
주안동 228
 
7.1%
용현동 122
 
3.8%
2층 77
 
2.4%
도화동 75
 
2.3%
3층 72
 
2.2%
학익동 60
 
1.9%
경인로 50
 
1.5%
매소홀로 38
 
1.2%
Other values (634) 1400
43.3%
2024-01-28T17:59:27.672854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2824
 
16.9%
인 704
 
4.2%
홀 641
 
3.8%
미 597
 
3.6%
추 593
 
3.6%
동 578
 
3.5%
천 561
 
3.4%
시 559
 
3.4%
구 559
 
3.4%
역 558
 
3.3%
Other values (207) 8490
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9974
59.9%
Space Separator 2824
 
16.9%
Decimal Number 2278
 
13.7%
Open Punctuation 557
 
3.3%
Close Punctuation 557
 
3.3%
Other Punctuation 374
 
2.2%
Dash Punctuation 75
 
0.5%
Uppercase Letter 18
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 704
 
7.1%
홀 641
 
6.4%
미 597
 
6.0%
추 593
 
5.9%
동 578
 
5.8%
천 561
 
5.6%
시 559
 
5.6%
구 559
 
5.6%
역 558
 
5.6%
광 555
 
5.6%
Other values (178) 4069
40.8%
Decimal Number
ValueCountFrequency (%)
1 389
17.1%
2 354
15.5%
3 342
15.0%
4 272
11.9%
5 189
8.3%
0 169
7.4%
6 155
 
6.8%
7 145
 
6.4%
8 141
 
6.2%
9 122
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
22.2%
B 3
16.7%
V 2
11.1%
K 2
11.1%
W 2
11.1%
E 2
11.1%
I 2
11.1%
T 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
y 2
33.3%
k 2
33.3%
h 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 373
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 557
100.0%
Close Punctuation
ValueCountFrequency (%)
) 557
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9974
59.9%
Common 6666
40.0%
Latin 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 704
 
7.1%
홀 641
 
6.4%
미 597
 
6.0%
추 593
 
5.9%
동 578
 
5.8%
천 561
 
5.6%
시 559
 
5.6%
구 559
 
5.6%
역 558
 
5.6%
광 555
 
5.6%
Other values (178) 4069
40.8%
Common
ValueCountFrequency (%)
2824
42.4%
( 557
 
8.4%
) 557
 
8.4%
1 389
 
5.8%
, 373
 
5.6%
2 354
 
5.3%
3 342
 
5.1%
4 272
 
4.1%
5 189
 
2.8%
0 169
 
2.5%
Other values (7) 640
 
9.6%
Latin
ValueCountFrequency (%)
S 4
16.7%
B 3
12.5%
V 2
8.3%
y 2
8.3%
K 2
8.3%
k 2
8.3%
W 2
8.3%
E 2
8.3%
I 2
8.3%
T 1
 
4.2%
Other values (2) 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9974
59.9%
ASCII 6690
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2824
42.2%
( 557
 
8.3%
) 557
 
8.3%
1 389
 
5.8%
, 373
 
5.6%
2 354
 
5.3%
3 342
 
5.1%
4 272
 
4.1%
5 189
 
2.8%
0 169
 
2.5%
Other values (19) 664
 
9.9%
Hangul
ValueCountFrequency (%)
인 704
 
7.1%
홀 641
 
6.4%
미 597
 
6.0%
추 593
 
5.9%
동 578
 
5.8%
천 561
 
5.6%
시 559
 
5.6%
구 559
 
5.6%
역 558
 
5.6%
광 555
 
5.6%
Other values (178) 4069
40.8%

지번주소
Text

MISSING 

Distinct488
Distinct (%)87.5%
Missing20
Missing (%)3.5%
Memory size4.6 KiB
2024-01-28T17:59:28.007042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length23.012545
Min length15

Characters and Unicode

Total characters12841
Distinct characters183
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

Unique426 ?
Unique (%)76.3%

Sample

1st row인천광역시 미추홀구 주안동 300-3
2nd row인천광역시 미추홀구 용현동 565-96
3rd row인천광역시 미추홀구 주안동 197-21
4th row인천광역시 미추홀구 도화동 545-19
5th row인천광역시 미추홀구 숭의동 60-31 형제빌딩
ValueCountFrequency (%)
인천광역시 558
23.4%
미추홀구 558
23.4%
주안동 234
 
9.8%
용현동 130
 
5.5%
도화동 77
 
3.2%
학익동 63
 
2.6%
숭의동 32
 
1.3%
문학동 16
 
0.7%
관교동 8
 
0.3%
0 6
 
0.3%
Other values (581) 702
29.4%
2024-01-28T17:59:28.477233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2382
18.5%
동 571
 
4.4%
인 564
 
4.4%
미 563
 
4.4%
시 562
 
4.4%
역 561
 
4.4%
홀 561
 
4.4%
추 560
 
4.4%
천 560
 
4.4%
광 558
 
4.3%
Other values (173) 5399
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7349
57.2%
Decimal Number 2531
 
19.7%
Space Separator 2382
 
18.5%
Dash Punctuation 535
 
4.2%
Uppercase Letter 17
 
0.1%
Other Punctuation 15
 
0.1%
Lowercase Letter 6
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 571
 
7.8%
인 564
 
7.7%
미 563
 
7.7%
시 562
 
7.6%
역 561
 
7.6%
홀 561
 
7.6%
추 560
 
7.6%
천 560
 
7.6%
광 558
 
7.6%
구 558
 
7.6%
Other values (145) 1731
23.6%
Decimal Number
ValueCountFrequency (%)
1 521
20.6%
2 338
13.4%
6 262
10.4%
4 252
10.0%
5 230
9.1%
3 229
9.0%
9 193
 
7.6%
7 190
 
7.5%
0 182
 
7.2%
8 134
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
V 2
11.8%
K 2
11.8%
I 2
11.8%
E 2
11.8%
W 2
11.8%
A 1
 
5.9%
T 1
 
5.9%
B 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
k 2
33.3%
y 2
33.3%
h 1
16.7%
e 1
16.7%
Space Separator
ValueCountFrequency (%)
2382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 535
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7349
57.2%
Common 5469
42.6%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 571
 
7.8%
인 564
 
7.7%
미 563
 
7.7%
시 562
 
7.6%
역 561
 
7.6%
홀 561
 
7.6%
추 560
 
7.6%
천 560
 
7.6%
광 558
 
7.6%
구 558
 
7.6%
Other values (145) 1731
23.6%
Common
ValueCountFrequency (%)
2382
43.6%
- 535
 
9.8%
1 521
 
9.5%
2 338
 
6.2%
6 262
 
4.8%
4 252
 
4.6%
5 230
 
4.2%
3 229
 
4.2%
9 193
 
3.5%
7 190
 
3.5%
Other values (5) 337
 
6.2%
Latin
ValueCountFrequency (%)
S 4
17.4%
V 2
8.7%
K 2
8.7%
k 2
8.7%
y 2
8.7%
I 2
8.7%
E 2
8.7%
W 2
8.7%
A 1
 
4.3%
T 1
 
4.3%
Other values (3) 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7349
57.2%
ASCII 5492
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2382
43.4%
- 535
 
9.7%
1 521
 
9.5%
2 338
 
6.2%
6 262
 
4.8%
4 252
 
4.6%
5 230
 
4.2%
3 229
 
4.2%
9 193
 
3.5%
7 190
 
3.5%
Other values (18) 360
 
6.6%
Hangul
ValueCountFrequency (%)
동 571
 
7.8%
인 564
 
7.7%
미 563
 
7.7%
시 562
 
7.6%
역 561
 
7.6%
홀 561
 
7.6%
추 560
 
7.6%
천 560
 
7.6%
광 558
 
7.6%
구 558
 
7.6%
Other values (145) 1731
23.6%

전화번호
Text

MISSING 

Distinct281
Distinct (%)97.9%
Missing291
Missing (%)50.3%
Memory size4.6 KiB
2024-01-28T17:59:28.671852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.031359
Min length12

Characters and Unicode

Total characters3453
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)96.5%

Sample

1st row032-422-4420
2nd row032-883-5119
3rd row032-862-6980
4th row032-883-1356
5th row032-428-9880
ValueCountFrequency (%)
032-873-5212 3
 
1.0%
032-882-0880 3
 
1.0%
032-875-1600 2
 
0.7%
032-428-1023 2
 
0.7%
032-883-9799 1
 
0.3%
032-874-5236 1
 
0.3%
032-863-4160 1
 
0.3%
032-867-0269 1
 
0.3%
032-868-2210 1
 
0.3%
032-872-0284 1
 
0.3%
Other values (272) 272
94.4%
2024-01-28T17:59:28.999957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 574
16.6%
2 490
14.2%
3 475
13.8%
0 465
13.5%
8 412
11.9%
7 224
 
6.5%
4 201
 
5.8%
6 173
 
5.0%
5 167
 
4.8%
1 146
 
4.2%
Other values (2) 126
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2878
83.3%
Dash Punctuation 574
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 490
17.0%
3 475
16.5%
0 465
16.2%
8 412
14.3%
7 224
7.8%
4 201
7.0%
6 173
 
6.0%
5 167
 
5.8%
1 146
 
5.1%
9 125
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 574
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3453
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 574
16.6%
2 490
14.2%
3 475
13.8%
0 465
13.5%
8 412
11.9%
7 224
 
6.5%
4 201
 
5.8%
6 173
 
5.0%
5 167
 
4.8%
1 146
 
4.2%
Other values (2) 126
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 574
16.6%
2 490
14.2%
3 475
13.8%
0 465
13.5%
8 412
11.9%
7 224
 
6.5%
4 201
 
5.8%
6 173
 
5.0%
5 167
 
4.8%
1 146
 
4.2%
Other values (2) 126
 
3.6%

위도
Real number (ℝ)

MISSING 

Distinct462
Distinct (%)81.9%
Missing14
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean37.456231
Minimum37.433765
Maximum37.722447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-01-28T17:59:29.118083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.433765
5-th percentile37.439356
Q137.448576
median37.457216
Q337.46338
95-th percentile37.470145
Maximum37.722447
Range0.28868209
Interquartile range (IQR)0.014804133

Descriptive statistics

Standard deviation0.014646638
Coefficient of variation (CV)0.00039103342
Kurtosis193.31573
Mean37.456231
Median Absolute Deviation (MAD)0.00701413
Skewness10.635909
Sum21125.314
Variance0.000214524
MonotonicityNot monotonic
2024-01-28T17:59:29.228781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4414509 5
 
0.9%
37.43654516 4
 
0.7%
37.45868568 3
 
0.5%
37.44788947 3
 
0.5%
37.4477592 3
 
0.5%
37.44280537 3
 
0.5%
37.45856675 3
 
0.5%
37.45843328 3
 
0.5%
37.4701339 3
 
0.5%
37.46781865 3
 
0.5%
Other values (452) 531
91.9%
(Missing) 14
 
2.4%
ValueCountFrequency (%)
37.43376491 1
 
0.2%
37.43654516 4
0.7%
37.43708799 1
 
0.2%
37.43737508 1
 
0.2%
37.43759155 1
 
0.2%
37.43765114 1
 
0.2%
37.43778893 1
 
0.2%
37.43803884 1
 
0.2%
37.43819886 1
 
0.2%
37.43826067 1
 
0.2%
ValueCountFrequency (%)
37.722447 1
0.2%
37.47857166 1
0.2%
37.47798768 2
0.3%
37.47706783 1
0.2%
37.4762603 1
0.2%
37.47553071 1
0.2%
37.47544045 1
0.2%
37.47531187 2
0.3%
37.47525189 1
0.2%
37.47524526 1
0.2%

경도
Real number (ℝ)

MISSING 

Distinct461
Distinct (%)81.7%
Missing14
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean126.66824
Minimum126.63037
Maximum126.97605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-01-28T17:59:29.349458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63037
5-th percentile126.63514
Q1126.65605
median126.67102
Q3126.68143
95-th percentile126.69032
Maximum126.97605
Range0.3456848
Interquartile range (IQR)0.02537545

Descriptive statistics

Standard deviation0.021776666
Coefficient of variation (CV)0.00017191892
Kurtosis69.563347
Mean126.66824
Median Absolute Deviation (MAD)0.0125232
Skewness4.7442836
Sum71440.887
Variance0.0004742232
MonotonicityNot monotonic
2024-01-28T17:59:29.457884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6619763 5
 
0.9%
126.6864606 4
 
0.7%
126.6420491 3
 
0.5%
126.6810625 3
 
0.5%
126.6581578 3
 
0.5%
126.6891131 3
 
0.5%
126.6943547 3
 
0.5%
126.6332704 3
 
0.5%
126.6797958 3
 
0.5%
126.6693298 3
 
0.5%
Other values (451) 531
91.9%
(Missing) 14
 
2.4%
ValueCountFrequency (%)
126.6303662 2
0.3%
126.6317417 1
 
0.2%
126.6321988 1
 
0.2%
126.6322635 1
 
0.2%
126.6327692 1
 
0.2%
126.6332136 1
 
0.2%
126.6332704 3
0.5%
126.633278 1
 
0.2%
126.6335634 1
 
0.2%
126.6336152 1
 
0.2%
ValueCountFrequency (%)
126.976051 1
0.2%
126.7015187 1
0.2%
126.6966793 2
0.3%
126.6962681 1
0.2%
126.6962602 1
0.2%
126.6961002 1
0.2%
126.6950158 1
0.2%
126.6948742 1
0.2%
126.6947749 1
0.2%
126.6945796 1
0.2%

Interactions

2024-01-28T17:59:25.186315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:24.701587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:24.948668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:25.532375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:24.782363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:25.026217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:25.612620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:24.874657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:59:25.110665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:59:29.532228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분위도경도
연번1.0000.8460.1280.090
구분0.8461.0000.0000.000
위도0.1280.0001.0000.675
경도0.0900.0000.6751.000
2024-01-28T17:59:29.621069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도구분
연번1.0000.072-0.0420.597
위도0.0721.0000.0510.000
경도-0.0420.0511.0000.000
구분0.5970.0000.0001.000

Missing values

2024-01-28T17:59:25.722160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:59:25.821721image/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.
2024-01-28T17:59:25.912797image/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

연번상호명구분도로명주소지번주소전화번호위도경도
01에이스스포츠센터수영장업인천광역시 미추홀구 경인로 434 (주안동)인천광역시 미추홀구 주안동 300-3032-422-442037.45753126.688187
12한성태권도장체육도장업인천광역시 미추홀구 아암대로29번길 56, 2층 (용현동)인천광역시 미추홀구 용현동 565-96032-883-511937.457022126.63955
23합기도정도관체육도장업인천광역시 미추홀구 경인로 337-1 (주안동)인천광역시 미추홀구 주안동 197-21032-862-698037.722447126.976051
34인천대도화태권도체육관체육도장업인천광역시 미추홀구 경인로252번길 12 (도화동)인천광역시 미추홀구 도화동 545-19<NA>37.462805126.669422
45인천금강복싱체육관체육도장업인천광역시 미추홀구 경인로 116, 형제빌딩 (숭의동)인천광역시 미추홀구 숭의동 60-31 형제빌딩032-883-135637.465939126.655558
56하나남인천태권도체육관체육도장업인천광역시 미추홀구 숙골로 114, 401호 (도화동, 우리타워)인천광역시 미추홀구 도화동 16-2 우리타워 401호<NA>37.472116126.662017
67유신태권도장체육도장업인천광역시 미추홀구 경인로142번길 53, 2층, B1층 (숭의동)인천광역시 미추홀구 숭의동 1-114<NA>37.463886126.657832
78전무검도관체육도장업인천광역시 미추홀구 경원대로 898 (주안동)인천광역시 미추홀구 주안동 929-11032-428-988037.462833126.690077
89인하서태권도장체육도장업인천광역시 미추홀구 학익소로63번길 23 (학익동)인천광역시 미추홀구 학익동 37-9032-867-836337.441742126.671803
910강호합기도체육도장업인천광역시 미추홀구 토금중로47번길 1 (용현동)인천광역시 미추홀구 용현동 611-40032-883-359337.452433126.638464
연번상호명구분도로명주소지번주소전화번호위도경도
568569국가대표 줄넘기 클럽체육교습업인천광역시 미추홀구 석정로461번길 7, 삼미빌딩 2층 (주안동)인천광역시 미추홀구 주안동 19-138 삼미빌딩<NA>37.466544126.686716
569570전국 줄넘기세상체육교습업인천광역시 미추홀구 낙섬중로 3, 5층 (용현동)인천광역시 미추홀구 용현동 627-357<NA>37.449294126.635138
570571위즈덤 축구클럽체육교습업인천광역시 미추홀구 석산로 42, 지하1층 (주안동, 두산주상복합아파트)인천광역시 미추홀구 주안동 892-1 두산주상복합아파트<NA>37.461404126.696679
571572예스점프로프아카데미 용현체육교습업인천광역시 미추홀구 독배로317번길 29, 컬러프라자 2층 (용현동)인천광역시 미추홀구 용현동 665-1 컬러프라자<NA>37.447759126.646866
572573스포츠 아카데미 비알티(B.R.T)체육교습업인천광역시 미추홀구 경인로 391, 주안현대아파트 2층 1호 (주안동)인천광역시 미추홀구 주안동 80-1 주안현대아파트032-716-915037.458567126.683547
573574미추홀구리틀야구단체육교습업<NA>인천광역시 미추홀구 학익동 587-226<NA>37.433765126.64388
574575도화아이스타클럽체육교습업인천광역시 미추홀구 염전로202번길 63, 4층 (도화동)인천광역시 미추홀구 도화동 992-1<NA>37.47544126.660341
575576남태혁 베이스볼체육교습업인천광역시 미추홀구 석정로301번길 101, 쉴드라이프코리아(주) 4층 (도화동)인천광역시 미추홀구 도화동 68-16 쉴드라이프코리아(주)<NA>37.469799126.67344
576577엠앤엠농구교실 미추홀LAB체육교습업인천광역시 미추홀구 매소홀로 255, 인하대역시네마타워 401호, 402호 (학익동)인천광역시 미추홀구 학익동 401-21 인하대역시네마타워<NA>37.44562126.651823
577578포그축구클럽(P.O.G)체육교습업인천광역시 미추홀구 한나루로 349, 4층 (학익동)인천광역시 미추홀구 학익동 695-1032-710-494037.439258126.661766