Overview

Dataset statistics

Number of variables7
Number of observations614
Missing cells450
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.3 KiB
Average record size in memory57.2 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description김포시 체육시설업(업종,상호,우편번호,시설주소(지번),시설주소(도로명),시설전화번호,데이터기준일자)의 관한 데이터 현황을 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/3072970/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
우편번호 has 21 (3.4%) missing valuesMissing
시설주소(지번) has 23 (3.7%) missing valuesMissing
시설주소(도로명) has 11 (1.8%) missing valuesMissing
시설전화번호 has 395 (64.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:47:34.305229
Analysis finished2023-12-12 13:47:35.267697
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct13
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
체육도장업
175 
체력단련장업
144 
가상체험 체육시설업
99 
당구장업
95 
체육교습업
44 
Other values (8)
57 

Length

Max length10
Median length7
Mean length5.9299674
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 175
28.5%
체력단련장업 144
23.5%
가상체험 체육시설업 99
16.1%
당구장업 95
15.5%
체육교습업 44
 
7.2%
골프연습장업 34
 
5.5%
수영장업 6
 
1.0%
야구장업 6
 
1.0%
인공암벽장업 4
 
0.7%
<NA> 2
 
0.3%
Other values (3) 5
 
0.8%

Length

2023-12-12T22:47:35.345494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육도장업 175
24.5%
체력단련장업 144
20.2%
가상체험 99
13.9%
체육시설업 99
13.9%
당구장업 95
13.3%
체육교습업 44
 
6.2%
골프연습장업 34
 
4.8%
수영장업 6
 
0.8%
야구장업 6
 
0.8%
인공암벽장업 4
 
0.6%
Other values (4) 7
 
1.0%

상호
Text

Distinct605
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T22:47:35.603728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length8.9576547
Min length2

Characters and Unicode

Total characters5500
Distinct characters439
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

Unique597 ?
Unique (%)97.2%

Sample

1st row키즈 팰리스
2nd row오션차일드 김포점
3rd row에릭한 어린이 수영장
4th row발리마린키즈
5th row라온키즈
ValueCountFrequency (%)
태권도장 66
 
5.6%
김포 21
 
1.8%
용인대 20
 
1.7%
당구장 18
 
1.5%
당구클럽 17
 
1.4%
태권도 14
 
1.2%
골프존파크 14
 
1.2%
경희대 12
 
1.0%
골프 11
 
0.9%
국가대표 11
 
0.9%
Other values (745) 978
82.7%
2023-12-12T22:47:36.035033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
10.3%
스 193
 
3.5%
장 171
 
3.1%
도 148
 
2.7%
프 143
 
2.6%
태 122
 
2.2%
권 118
 
2.1%
구 118
 
2.1%
골 107
 
1.9%
클 90
 
1.6%
Other values (429) 3722
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4303
78.2%
Space Separator 568
 
10.3%
Uppercase Letter 384
 
7.0%
Lowercase Letter 87
 
1.6%
Close Punctuation 54
 
1.0%
Open Punctuation 54
 
1.0%
Decimal Number 33
 
0.6%
Other Punctuation 14
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 193
 
4.5%
장 171
 
4.0%
도 148
 
3.4%
프 143
 
3.3%
태 122
 
2.8%
권 118
 
2.7%
구 118
 
2.7%
골 107
 
2.5%
클 90
 
2.1%
포 85
 
2.0%
Other values (368) 3008
69.9%
Uppercase Letter
ValueCountFrequency (%)
T 40
 
10.4%
S 39
 
10.2%
G 36
 
9.4%
M 35
 
9.1%
P 30
 
7.8%
A 22
 
5.7%
Y 18
 
4.7%
J 18
 
4.7%
I 15
 
3.9%
O 15
 
3.9%
Other values (15) 116
30.2%
Lowercase Letter
ValueCountFrequency (%)
o 12
13.8%
i 8
 
9.2%
e 7
 
8.0%
t 7
 
8.0%
a 6
 
6.9%
s 5
 
5.7%
m 5
 
5.7%
n 5
 
5.7%
r 4
 
4.6%
b 4
 
4.6%
Other values (11) 24
27.6%
Decimal Number
ValueCountFrequency (%)
2 12
36.4%
1 11
33.3%
4 3
 
9.1%
3 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%
8 1
 
3.0%
0 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 7
50.0%
& 6
42.9%
, 1
 
7.1%
Space Separator
ValueCountFrequency (%)
568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4303
78.2%
Common 726
 
13.2%
Latin 471
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 193
 
4.5%
장 171
 
4.0%
도 148
 
3.4%
프 143
 
3.3%
태 122
 
2.8%
권 118
 
2.7%
구 118
 
2.7%
골 107
 
2.5%
클 90
 
2.1%
포 85
 
2.0%
Other values (368) 3008
69.9%
Latin
ValueCountFrequency (%)
T 40
 
8.5%
S 39
 
8.3%
G 36
 
7.6%
M 35
 
7.4%
P 30
 
6.4%
A 22
 
4.7%
Y 18
 
3.8%
J 18
 
3.8%
I 15
 
3.2%
O 15
 
3.2%
Other values (36) 203
43.1%
Common
ValueCountFrequency (%)
568
78.2%
) 54
 
7.4%
( 54
 
7.4%
2 12
 
1.7%
1 11
 
1.5%
. 7
 
1.0%
& 6
 
0.8%
- 3
 
0.4%
4 3
 
0.4%
3 2
 
0.3%
Other values (5) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4303
78.2%
ASCII 1197
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
47.5%
) 54
 
4.5%
( 54
 
4.5%
T 40
 
3.3%
S 39
 
3.3%
G 36
 
3.0%
M 35
 
2.9%
P 30
 
2.5%
A 22
 
1.8%
Y 18
 
1.5%
Other values (51) 301
25.1%
Hangul
ValueCountFrequency (%)
스 193
 
4.5%
장 171
 
4.0%
도 148
 
3.4%
프 143
 
3.3%
태 122
 
2.8%
권 118
 
2.7%
구 118
 
2.7%
골 107
 
2.5%
클 90
 
2.1%
포 85
 
2.0%
Other values (368) 3008
69.9%

우편번호
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)16.7%
Missing21
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean22386.789
Minimum10010
Maximum415867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-12T22:47:36.208649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10010
5-th percentile10021.8
Q110069
median10082
Q310110
95-th percentile10130
Maximum415867
Range405857
Interquartile range (IQR)41

Descriptive statistics

Standard deviation69600.245
Coefficient of variation (CV)3.1089874
Kurtosis28.223366
Mean22386.789
Median Absolute Deviation (MAD)20
Skewness5.4889117
Sum13275366
Variance4.8441941 × 109
MonotonicityNot monotonic
2023-12-12T22:47:36.383767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10071 77
 
12.5%
10113 40
 
6.5%
10068 23
 
3.7%
10120 20
 
3.3%
10083 19
 
3.1%
10073 19
 
3.1%
10108 14
 
2.3%
10130 13
 
2.1%
10097 12
 
2.0%
10099 11
 
1.8%
Other values (89) 345
56.2%
(Missing) 21
 
3.4%
ValueCountFrequency (%)
10010 1
 
0.2%
10011 3
 
0.5%
10013 1
 
0.2%
10016 4
0.7%
10017 5
0.8%
10018 8
1.3%
10019 6
1.0%
10020 2
 
0.3%
10023 2
 
0.3%
10024 3
 
0.5%
ValueCountFrequency (%)
415867 2
0.3%
415845 1
 
0.2%
415834 1
 
0.2%
415831 1
 
0.2%
415819 1
 
0.2%
415752 1
 
0.2%
415744 1
 
0.2%
415714 1
 
0.2%
415080 1
 
0.2%
415060 4
0.7%

시설주소(지번)
Text

MISSING 

Distinct457
Distinct (%)77.3%
Missing23
Missing (%)3.7%
Memory size4.9 KiB
2023-12-12T22:47:36.690876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length37
Mean length22.583756
Min length15

Characters and Unicode

Total characters13347
Distinct characters231
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)61.9%

Sample

1st row경기도 김포시 운양동 1297-9 운양프라자 801호
2nd row경기도 김포시 장기동 564 전원마을 월드1단지 지하101-1호
3rd row경기도 김포시 장기동 1868-6
4th row경기도 김포시 구래동 6884-2
5th row경기도 김포시 구래동 6883-2
ValueCountFrequency (%)
경기도 591
20.4%
김포시 591
20.4%
구래동 95
 
3.3%
풍무동 80
 
2.8%
장기동 77
 
2.7%
양촌읍 54
 
1.9%
고촌읍 47
 
1.6%
운양동 42
 
1.4%
통진읍 36
 
1.2%
북변동 34
 
1.2%
Other values (683) 1257
43.3%
2023-12-12T22:47:37.139802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2871
21.5%
기 668
 
5.0%
포 620
 
4.6%
도 609
 
4.6%
시 605
 
4.5%
김 602
 
4.5%
경 594
 
4.5%
1 460
 
3.4%
동 446
 
3.3%
- 434
 
3.3%
Other values (221) 5438
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7121
53.4%
Space Separator 2871
21.5%
Decimal Number 2866
21.5%
Dash Punctuation 434
 
3.3%
Other Punctuation 30
 
0.2%
Uppercase Letter 12
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Letter Number 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 668
 
9.4%
포 620
 
8.7%
도 609
 
8.6%
시 605
 
8.5%
김 602
 
8.5%
경 594
 
8.3%
동 446
 
6.3%
리 187
 
2.6%
읍 137
 
1.9%
양 126
 
1.8%
Other values (196) 2527
35.5%
Decimal Number
ValueCountFrequency (%)
1 460
16.1%
2 405
14.1%
8 345
12.0%
6 312
10.9%
0 287
10.0%
3 256
8.9%
4 233
8.1%
9 199
6.9%
5 194
6.8%
7 175
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
I 3
25.0%
A 2
16.7%
J 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
M 1
 
8.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
2871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7121
53.4%
Common 6211
46.5%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 668
 
9.4%
포 620
 
8.7%
도 609
 
8.6%
시 605
 
8.5%
김 602
 
8.5%
경 594
 
8.3%
동 446
 
6.3%
리 187
 
2.6%
읍 137
 
1.9%
양 126
 
1.8%
Other values (196) 2527
35.5%
Common
ValueCountFrequency (%)
2871
46.2%
1 460
 
7.4%
- 434
 
7.0%
2 405
 
6.5%
8 345
 
5.6%
6 312
 
5.0%
0 287
 
4.6%
3 256
 
4.1%
4 233
 
3.8%
9 199
 
3.2%
Other values (5) 409
 
6.6%
Latin
ValueCountFrequency (%)
B 3
20.0%
I 3
20.0%
A 2
13.3%
Ⅰ 1
 
6.7%
J 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
M 1
 
6.7%
Ⅱ 1
 
6.7%
e 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7121
53.4%
ASCII 6224
46.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2871
46.1%
1 460
 
7.4%
- 434
 
7.0%
2 405
 
6.5%
8 345
 
5.5%
6 312
 
5.0%
0 287
 
4.6%
3 256
 
4.1%
4 233
 
3.7%
9 199
 
3.2%
Other values (13) 422
 
6.8%
Hangul
ValueCountFrequency (%)
기 668
 
9.4%
포 620
 
8.7%
도 609
 
8.6%
시 605
 
8.5%
김 602
 
8.5%
경 594
 
8.3%
동 446
 
6.3%
리 187
 
2.6%
읍 137
 
1.9%
양 126
 
1.8%
Other values (196) 2527
35.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

시설주소(도로명)
Text

MISSING 

Distinct592
Distinct (%)98.2%
Missing11
Missing (%)1.8%
Memory size4.9 KiB
2023-12-12T22:47:37.405202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length52
Mean length33.233831
Min length17

Characters and Unicode

Total characters20040
Distinct characters275
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)96.4%

Sample

1st row경기도 김포시 김포한강11로 288-19, 8층 (운양동, 운양프라자)
2nd row경기도 김포시 전원로 32, 지하1층 101-1호 (장기동, 전원마을 월드1단지)
3rd row경기도 김포시 김포한강2로 266, 6층 (장기동, 에릭한유치원)
4th row경기도 김포시 태장로 800 (장기동)
5th row경기도 김포시 김포한강8로 412, 10층 (구래동)
ValueCountFrequency (%)
경기도 603
 
14.5%
김포시 603
 
14.5%
구래동 101
 
2.4%
2층 94
 
2.3%
장기동 86
 
2.1%
풍무동 81
 
2.0%
3층 73
 
1.8%
양촌읍 52
 
1.3%
4층 51
 
1.2%
6층 45
 
1.1%
Other values (884) 2358
56.9%
2023-12-12T22:47:38.184197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3545
 
17.7%
포 912
 
4.6%
김 880
 
4.4%
1 758
 
3.8%
, 719
 
3.6%
기 701
 
3.5%
2 633
 
3.2%
시 624
 
3.1%
도 621
 
3.1%
로 606
 
3.0%
Other values (265) 10041
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10627
53.0%
Decimal Number 4056
 
20.2%
Space Separator 3545
 
17.7%
Other Punctuation 719
 
3.6%
Open Punctuation 458
 
2.3%
Close Punctuation 458
 
2.3%
Dash Punctuation 106
 
0.5%
Math Symbol 52
 
0.3%
Uppercase Letter 14
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 912
 
8.6%
김 880
 
8.3%
기 701
 
6.6%
시 624
 
5.9%
도 621
 
5.8%
로 606
 
5.7%
경 605
 
5.7%
동 501
 
4.7%
층 404
 
3.8%
호 362
 
3.4%
Other values (238) 4411
41.5%
Decimal Number
ValueCountFrequency (%)
1 758
18.7%
2 633
15.6%
0 488
12.0%
3 445
11.0%
4 384
9.5%
6 311
7.7%
5 310
7.6%
8 299
 
7.4%
7 242
 
6.0%
9 186
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
42.9%
M 2
 
14.3%
H 1
 
7.1%
B 1
 
7.1%
C 1
 
7.1%
I 1
 
7.1%
G 1
 
7.1%
J 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
3545
100.0%
Other Punctuation
ValueCountFrequency (%)
, 719
100.0%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Math Symbol
ValueCountFrequency (%)
~ 52
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10627
53.0%
Common 9394
46.9%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 912
 
8.6%
김 880
 
8.3%
기 701
 
6.6%
시 624
 
5.9%
도 621
 
5.8%
로 606
 
5.7%
경 605
 
5.7%
동 501
 
4.7%
층 404
 
3.8%
호 362
 
3.4%
Other values (238) 4411
41.5%
Common
ValueCountFrequency (%)
3545
37.7%
1 758
 
8.1%
, 719
 
7.7%
2 633
 
6.7%
0 488
 
5.2%
( 458
 
4.9%
) 458
 
4.9%
3 445
 
4.7%
4 384
 
4.1%
6 311
 
3.3%
Other values (6) 1195
 
12.7%
Latin
ValueCountFrequency (%)
A 6
31.6%
Ⅱ 3
15.8%
M 2
 
10.5%
H 1
 
5.3%
B 1
 
5.3%
C 1
 
5.3%
I 1
 
5.3%
G 1
 
5.3%
J 1
 
5.3%
a 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10627
53.0%
ASCII 9410
47.0%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3545
37.7%
1 758
 
8.1%
, 719
 
7.6%
2 633
 
6.7%
0 488
 
5.2%
( 458
 
4.9%
) 458
 
4.9%
3 445
 
4.7%
4 384
 
4.1%
6 311
 
3.3%
Other values (16) 1211
 
12.9%
Hangul
ValueCountFrequency (%)
포 912
 
8.6%
김 880
 
8.3%
기 701
 
6.6%
시 624
 
5.9%
도 621
 
5.8%
로 606
 
5.7%
경 605
 
5.7%
동 501
 
4.7%
층 404
 
3.8%
호 362
 
3.4%
Other values (238) 4411
41.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

시설전화번호
Text

MISSING 

Distinct215
Distinct (%)98.2%
Missing395
Missing (%)64.3%
Memory size4.9 KiB
2023-12-12T22:47:38.433964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.054795
Min length11

Characters and Unicode

Total characters2640
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

Unique211 ?
Unique (%)96.3%

Sample

1st row031-983-9055
2nd row031-996-8882
3rd row031-996-1300
4th row031-985-5700
5th row031-994-8077
ValueCountFrequency (%)
031-983-0101 2
 
0.9%
031-981-5781 2
 
0.9%
031-986-5200 2
 
0.9%
031-996-8337 2
 
0.9%
031-984-7336 1
 
0.5%
031-987-6333 1
 
0.5%
031-996-0924 1
 
0.5%
031-983-9055 1
 
0.5%
031-997-8221 1
 
0.5%
031-990-4004 1
 
0.5%
Other values (205) 205
93.6%
2023-12-12T22:47:38.814337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 437
16.6%
9 366
13.9%
0 354
13.4%
3 325
12.3%
1 307
11.6%
8 287
10.9%
7 150
 
5.7%
5 117
 
4.4%
4 106
 
4.0%
2 102
 
3.9%
Other values (2) 89
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2202
83.4%
Dash Punctuation 437
 
16.6%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 366
16.6%
0 354
16.1%
3 325
14.8%
1 307
13.9%
8 287
13.0%
7 150
6.8%
5 117
 
5.3%
4 106
 
4.8%
2 102
 
4.6%
6 88
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 437
16.6%
9 366
13.9%
0 354
13.4%
3 325
12.3%
1 307
11.6%
8 287
10.9%
7 150
 
5.7%
5 117
 
4.4%
4 106
 
4.0%
2 102
 
3.9%
Other values (2) 89
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 437
16.6%
9 366
13.9%
0 354
13.4%
3 325
12.3%
1 307
11.6%
8 287
10.9%
7 150
 
5.7%
5 117
 
4.4%
4 106
 
4.0%
2 102
 
3.9%
Other values (2) 89
 
3.4%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-10-23
614 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-23
2nd row2023-10-23
3rd row2023-10-23
4th row2023-10-23
5th row2023-10-23

Common Values

ValueCountFrequency (%)
2023-10-23 614
100.0%

Length

2023-12-12T22:47:38.964305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:47:39.053758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-23 614
100.0%

Interactions

2023-12-12T22:47:34.834205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:47:39.116905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종우편번호
업종1.0000.105
우편번호0.1051.000
2023-12-12T22:47:39.202733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호업종
우편번호1.0000.081
업종0.0811.000

Missing values

2023-12-12T22:47:34.970356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:47:35.078790image/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.
2023-12-12T22:47:35.187321image/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

업종상호우편번호시설주소(지번)시설주소(도로명)시설전화번호데이터 기준일자
0수영장업키즈 팰리스10073경기도 김포시 운양동 1297-9 운양프라자 801호경기도 김포시 김포한강11로 288-19, 8층 (운양동, 운양프라자)031-983-90552023-10-23
1수영장업오션차일드 김포점415744경기도 김포시 장기동 564 전원마을 월드1단지 지하101-1호경기도 김포시 전원로 32, 지하1층 101-1호 (장기동, 전원마을 월드1단지)031-996-88822023-10-23
2수영장업에릭한 어린이 수영장10082경기도 김포시 장기동 1868-6경기도 김포시 김포한강2로 266, 6층 (장기동, 에릭한유치원)031-996-13002023-10-23
3수영장업발리마린키즈10089<NA>경기도 김포시 태장로 800 (장기동)031-985-57002023-10-23
4수영장업라온키즈10071경기도 김포시 구래동 6884-2경기도 김포시 김포한강8로 412, 10층 (구래동)031-994-80772023-10-23
5수영장업늘봄2410071경기도 김포시 구래동 6883-2경기도 김포시 김포한강9로76번길 63, 4층 7,8,9호 (구래동)<NA>2023-10-23
6체육도장업김포 검도장10110경기도 김포시 사우동 290 공설운동장내경기도 김포시 돌문로15번길 20 (사우동)031-982-47962023-10-23
7체육도장업승룡태권도장10016경기도 김포시 통진읍 서암리 417-1경기도 김포시 통진읍 소서명로 27-12, 청룡빌딩 3층<NA>2023-10-23
8체육도장업화랑체육관10125경기도 김포시 고촌읍 신곡리 1105경기도 김포시 고촌읍 신곡로29번길 31<NA>2023-10-23
9체육도장업성우태권도장10102경기도 김포시 감정동 448-2경기도 김포시 봉화로 175 (감정동)<NA>2023-10-23
업종상호우편번호시설주소(지번)시설주소(도로명)시설전화번호데이터 기준일자
604체육교습업파파FC10068경기도 김포시 마산동 650-3경기도 김포시 김포한강8로148번길 5, 유송타워 3층 (마산동)<NA>2023-10-23
605체육교습업윤영주 축구교실10131경기도 김포시 고촌읍 태리 134-9경기도 김포시 고촌읍 태리로190번길 80-20, 가동<NA>2023-10-23
606체육교습업렛츠 점프10071경기도 김포시 구래동 6917-4 우승프라자경기도 김포시 김포한강4로 530, 우승프라자 304호 (구래동)<NA>2023-10-23
607체육교습업국가대표 보름줄넘기10131경기도 김포시 고촌읍 신곡리 923-2 캐슬앤파밀리에시티 1단지경기도 김포시 고촌읍 태리로 236, 401동 306호 (캐슬앤파밀리에시티 1단지)<NA>2023-10-23
608체육교습업(주)엘에스스포츠먼트10104경기도 김포시 감정동 626-10경기도 김포시 감정로 86, 2층 (감정동)<NA>2023-10-23
609체육교습업고려대 바른 줄넘기10088경기도 김포시 장기동 2055-3 센타프라자경기도 김포시 김포한강2로 110, 센타프라자 504호 (장기동)<NA>2023-10-23
610인공암벽장업디스커버리씨에스주식회사 구래지점10071경기도 김포시 구래동 6884-3 스타프라자경기도 김포시 김포한강8로 410, 스타프라자 902호 (구래동)031-8049-04482023-10-23
611인공암벽장업잼클라이밍10088경기도 김포시 장기동 2039-2 프레즌스빌딩경기도 김포시 김포한강2로 76, 프레즌스빌딩 3층 301호 (장기동)031-988-25272023-10-23
612인공암벽장업PIC클라이밍10071경기도 김포시 구래동 6880-2경기도 김포시 김포한강4로 507, 4층 404,405호 (구래동)031-989-44432023-10-23
613인공암벽장업키클 클라이밍 풍무점10113경기도 김포시 풍무동 949경기도 김포시 풍무로146번길 14, 901호 (풍무동)<NA>2023-10-23