Overview

Dataset statistics

Number of variables11
Number of observations345
Missing cells423
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory93.4 B

Variable types

Categorical2
Text4
Numeric4
Unsupported1

Dataset

Description경기도 인증 지역서점 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=EOE8RQ0K99WC72WJ754O28934129&infSeq=1

Alerts

정제우편번호 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84위도 is highly overall correlated with 정제우편번호 and 1 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제우편번호 and 2 other fieldsHigh correlation
정제도로명주소 has 13 (3.8%) missing valuesMissing
매장전화번호 has 43 (12.5%) missing valuesMissing
비고 has 345 (100.0%) missing valuesMissing
정제우편번호 has 6 (1.7%) missing valuesMissing
정제WGS84위도 has 8 (2.3%) missing valuesMissing
정제WGS84경도 has 8 (2.3%) missing valuesMissing
사업자등록번호 has unique valuesUnique
정제지번주소 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:58:54.498100
Analysis finished2023-12-10 21:58:56.956464
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
고양시
37 
수원시
35 
용인시
26 
화성시
22 
성남시
 
20
Other values (26)
205 

Length

Max length4
Median length3
Mean length3.0869565
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 37
 
10.7%
수원시 35
 
10.1%
용인시 26
 
7.5%
화성시 22
 
6.4%
성남시 20
 
5.8%
남양주시 19
 
5.5%
파주시 19
 
5.5%
김포시 17
 
4.9%
시흥시 14
 
4.1%
부천시 13
 
3.8%
Other values (21) 123
35.7%

Length

2023-12-11T06:58:57.013209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 37
 
10.7%
수원시 35
 
10.1%
용인시 26
 
7.5%
화성시 22
 
6.4%
성남시 20
 
5.8%
남양주시 19
 
5.5%
파주시 19
 
5.5%
김포시 17
 
4.9%
시흥시 14
 
4.1%
부천시 13
 
3.8%
Other values (21) 123
35.7%

서점명
Text

Distinct331
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T06:58:57.240936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length4
Mean length5.1565217
Min length2

Characters and Unicode

Total characters1779
Distinct characters349
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)92.5%

Sample

1st row대우서적
2nd row동양문고
3rd row미금문고
4th row북포레
5th row세종서점
ValueCountFrequency (%)
삼성문고 3
 
0.8%
자유문고 3
 
0.8%
한가람문고 3
 
0.8%
일신서점 2
 
0.5%
대동서적㈜ 2
 
0.5%
한양문고 2
 
0.5%
개구리서적 2
 
0.5%
열린문고 2
 
0.5%
하늘북 2
 
0.5%
한강문고 2
 
0.5%
Other values (340) 346
93.8%
2023-12-11T06:58:57.625970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 137
 
7.7%
문 121
 
6.8%
고 116
 
6.5%
점 110
 
6.2%
책 46
 
2.6%
북 43
 
2.4%
방 38
 
2.1%
적 29
 
1.6%
동 26
 
1.5%
한 25
 
1.4%
Other values (339) 1088
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1669
93.8%
Space Separator 24
 
1.3%
Lowercase Letter 24
 
1.3%
Open Punctuation 18
 
1.0%
Close Punctuation 18
 
1.0%
Uppercase Letter 13
 
0.7%
Decimal Number 8
 
0.4%
Other Symbol 4
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 137
 
8.2%
문 121
 
7.2%
고 116
 
7.0%
점 110
 
6.6%
책 46
 
2.8%
북 43
 
2.6%
방 38
 
2.3%
적 29
 
1.7%
동 26
 
1.6%
한 25
 
1.5%
Other values (307) 978
58.6%
Lowercase Letter
ValueCountFrequency (%)
o 6
25.0%
l 3
12.5%
k 2
 
8.3%
u 2
 
8.3%
i 2
 
8.3%
s 2
 
8.3%
e 1
 
4.2%
v 1
 
4.2%
y 1
 
4.2%
b 1
 
4.2%
Other values (3) 3
12.5%
Uppercase Letter
ValueCountFrequency (%)
O 3
23.1%
K 2
15.4%
B 2
15.4%
S 1
 
7.7%
P 1
 
7.7%
N 1
 
7.7%
E 1
 
7.7%
R 1
 
7.7%
Q 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
5 3
37.5%
3 2
25.0%
6 1
 
12.5%
1 1
 
12.5%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1672
94.0%
Common 69
 
3.9%
Latin 37
 
2.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 137
 
8.2%
문 121
 
7.2%
고 116
 
6.9%
점 110
 
6.6%
책 46
 
2.8%
북 43
 
2.6%
방 38
 
2.3%
적 29
 
1.7%
동 26
 
1.6%
한 25
 
1.5%
Other values (307) 981
58.7%
Latin
ValueCountFrequency (%)
o 6
16.2%
l 3
 
8.1%
O 3
 
8.1%
K 2
 
5.4%
k 2
 
5.4%
B 2
 
5.4%
u 2
 
5.4%
i 2
 
5.4%
s 2
 
5.4%
S 1
 
2.7%
Other values (12) 12
32.4%
Common
ValueCountFrequency (%)
24
34.8%
( 18
26.1%
) 18
26.1%
5 3
 
4.3%
3 2
 
2.9%
6 1
 
1.4%
& 1
 
1.4%
1 1
 
1.4%
2 1
 
1.4%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1668
93.8%
ASCII 106
 
6.0%
None 4
 
0.2%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 137
 
8.2%
문 121
 
7.3%
고 116
 
7.0%
점 110
 
6.6%
책 46
 
2.8%
북 43
 
2.6%
방 38
 
2.3%
적 29
 
1.7%
동 26
 
1.6%
한 25
 
1.5%
Other values (306) 977
58.6%
ASCII
ValueCountFrequency (%)
24
22.6%
( 18
17.0%
) 18
17.0%
o 6
 
5.7%
5 3
 
2.8%
l 3
 
2.8%
O 3
 
2.8%
K 2
 
1.9%
k 2
 
1.9%
B 2
 
1.9%
Other values (21) 25
23.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

사업자등록번호
Real number (ℝ)

UNIQUE 

Distinct345
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1743991 × 109
Minimum1.0599269 × 109
Maximum8.9723013 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T06:58:57.770970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0599269 × 109
5-th percentile1.2390441 × 109
Q11.2893876 × 109
median1.8987008 × 109
Q35.0624832 × 109
95-th percentile7.8474812 × 109
Maximum8.9723013 × 109
Range7.9123744 × 109
Interquartile range (IQR)3.7730956 × 109

Descriptive statistics

Standard deviation2.3631867 × 109
Coefficient of variation (CV)0.74445167
Kurtosis-0.49457839
Mean3.1743991 × 109
Median Absolute Deviation (MAD)6.4941698 × 108
Skewness0.94786276
Sum1.0951677 × 1012
Variance5.5846515 × 1018
MonotonicityNot monotonic
2023-12-11T06:58:57.967906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6982500358 1
 
0.3%
1409078511 1
 
0.3%
2899701067 1
 
0.3%
1239182910 1
 
0.3%
7754600058 1
 
0.3%
3698801624 1
 
0.3%
2596800335 1
 
0.3%
5534400605 1
 
0.3%
1680800020 1
 
0.3%
1339865713 1
 
0.3%
Other values (335) 335
97.1%
ValueCountFrequency (%)
1059926935 1
0.3%
1072461153 1
0.3%
1093981197 1
0.3%
1119636456 1
0.3%
1133900140 1
0.3%
1139414172 1
0.3%
1141792694 1
0.3%
1171145223 1
0.3%
1179081414 1
0.3%
1179906136 1
0.3%
ValueCountFrequency (%)
8972301299 1
0.3%
8939400207 1
0.3%
8879100972 1
0.3%
8850101289 1
0.3%
8848700961 1
0.3%
8811201298 1
0.3%
8801300935 1
0.3%
8688801887 1
0.3%
8639800368 1
0.3%
8615000303 1
0.3%

정제도로명주소
Text

MISSING 

Distinct331
Distinct (%)99.7%
Missing13
Missing (%)3.8%
Memory size2.8 KiB
2023-12-11T06:58:58.252781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length19.198795
Min length13

Characters and Unicode

Total characters6374
Distinct characters230
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

Unique330 ?
Unique (%)99.4%

Sample

1st row경기도 성남시 수정구 남문로69번길 13-1
2nd row경기도 성남시 분당구 판교로 476
3rd row경기도 성남시 분당구 돌마로 67
4th row경기도 성남시 분당구 중앙공원로40번길 4
5th row경기도 성남시 수정구 위례광장로 300
ValueCountFrequency (%)
경기도 332
 
22.0%
고양시 35
 
2.3%
수원시 33
 
2.2%
용인시 26
 
1.7%
화성시 22
 
1.5%
남양주시 19
 
1.3%
파주시 19
 
1.3%
성남시 18
 
1.2%
김포시 16
 
1.1%
일산서구 15
 
1.0%
Other values (596) 973
64.5%
2023-12-11T06:58:58.663831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1176
18.4%
기 345
 
5.4%
경 340
 
5.3%
도 340
 
5.3%
시 338
 
5.3%
로 301
 
4.7%
1 251
 
3.9%
2 161
 
2.5%
길 143
 
2.2%
구 140
 
2.2%
Other values (220) 2839
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3984
62.5%
Space Separator 1176
 
18.4%
Decimal Number 1149
 
18.0%
Dash Punctuation 65
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 345
 
8.7%
경 340
 
8.5%
도 340
 
8.5%
시 338
 
8.5%
로 301
 
7.6%
길 143
 
3.6%
구 140
 
3.5%
번 100
 
2.5%
양 98
 
2.5%
안 64
 
1.6%
Other values (208) 1775
44.6%
Decimal Number
ValueCountFrequency (%)
1 251
21.8%
2 161
14.0%
3 131
11.4%
4 101
8.8%
5 92
 
8.0%
7 90
 
7.8%
9 85
 
7.4%
0 82
 
7.1%
6 79
 
6.9%
8 77
 
6.7%
Space Separator
ValueCountFrequency (%)
1176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3984
62.5%
Common 2390
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 345
 
8.7%
경 340
 
8.5%
도 340
 
8.5%
시 338
 
8.5%
로 301
 
7.6%
길 143
 
3.6%
구 140
 
3.5%
번 100
 
2.5%
양 98
 
2.5%
안 64
 
1.6%
Other values (208) 1775
44.6%
Common
ValueCountFrequency (%)
1176
49.2%
1 251
 
10.5%
2 161
 
6.7%
3 131
 
5.5%
4 101
 
4.2%
5 92
 
3.8%
7 90
 
3.8%
9 85
 
3.6%
0 82
 
3.4%
6 79
 
3.3%
Other values (2) 142
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3984
62.5%
ASCII 2390
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1176
49.2%
1 251
 
10.5%
2 161
 
6.7%
3 131
 
5.5%
4 101
 
4.2%
5 92
 
3.8%
7 90
 
3.8%
9 85
 
3.6%
0 82
 
3.4%
6 79
 
3.3%
Other values (2) 142
 
5.9%
Hangul
ValueCountFrequency (%)
기 345
 
8.7%
경 340
 
8.5%
도 340
 
8.5%
시 338
 
8.5%
로 301
 
7.6%
길 143
 
3.6%
구 140
 
3.5%
번 100
 
2.5%
양 98
 
2.5%
안 64
 
1.6%
Other values (208) 1775
44.6%

정제지번주소
Text

UNIQUE 

Distinct345
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T06:58:58.988422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length29.530435
Min length16

Characters and Unicode

Total characters10188
Distinct characters330
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

Unique345 ?
Unique (%)100.0%

Sample

1st row경기도 성남시 수정구 태평동 3139번지
2nd row경기도 성남시 분당구 이매동 97-5번지 1층 오성빌딩
3rd row경기도 성남시 분당구 금곡동 157번지 금산잼월드 지하1층 101 B1층
4th row경기도 성남시 분당구 서현동 93번지 현대카스빌딩 113호
5th row경기도 성남시 분당구 서현동 91번지 한양아파트 1층
ValueCountFrequency (%)
경기도 345
 
15.9%
1층 104
 
4.8%
2층 52
 
2.4%
지하1층 41
 
1.9%
고양시 37
 
1.7%
수원시 35
 
1.6%
용인시 26
 
1.2%
화성시 22
 
1.0%
성남시 20
 
0.9%
남양주시 19
 
0.9%
Other values (905) 1472
67.7%
2023-12-11T06:58:59.460205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1828
 
17.9%
1 566
 
5.6%
지 405
 
4.0%
기 363
 
3.6%
도 355
 
3.5%
2 353
 
3.5%
시 353
 
3.5%
동 352
 
3.5%
경 347
 
3.4%
번 333
 
3.3%
Other values (320) 4933
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5879
57.7%
Decimal Number 2138
 
21.0%
Space Separator 1828
 
17.9%
Dash Punctuation 254
 
2.5%
Uppercase Letter 43
 
0.4%
Other Punctuation 25
 
0.2%
Close Punctuation 8
 
0.1%
Open Punctuation 7
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 405
 
6.9%
기 363
 
6.2%
도 355
 
6.0%
시 353
 
6.0%
동 352
 
6.0%
경 347
 
5.9%
번 333
 
5.7%
층 231
 
3.9%
호 164
 
2.8%
구 152
 
2.6%
Other values (292) 2824
48.0%
Decimal Number
ValueCountFrequency (%)
1 566
26.5%
2 353
16.5%
0 239
11.2%
3 196
 
9.2%
4 157
 
7.3%
5 142
 
6.6%
8 137
 
6.4%
7 117
 
5.5%
9 116
 
5.4%
6 115
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 28
65.1%
A 4
 
9.3%
C 2
 
4.7%
H 2
 
4.7%
G 2
 
4.7%
L 1
 
2.3%
Y 1
 
2.3%
S 1
 
2.3%
I 1
 
2.3%
R 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 17
68.0%
. 8
32.0%
Space Separator
ValueCountFrequency (%)
1828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5879
57.7%
Common 4265
41.9%
Latin 44
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 405
 
6.9%
기 363
 
6.2%
도 355
 
6.0%
시 353
 
6.0%
동 352
 
6.0%
경 347
 
5.9%
번 333
 
5.7%
층 231
 
3.9%
호 164
 
2.8%
구 152
 
2.6%
Other values (292) 2824
48.0%
Common
ValueCountFrequency (%)
1828
42.9%
1 566
 
13.3%
2 353
 
8.3%
- 254
 
6.0%
0 239
 
5.6%
3 196
 
4.6%
4 157
 
3.7%
5 142
 
3.3%
8 137
 
3.2%
7 117
 
2.7%
Other values (7) 276
 
6.5%
Latin
ValueCountFrequency (%)
B 28
63.6%
A 4
 
9.1%
C 2
 
4.5%
H 2
 
4.5%
G 2
 
4.5%
L 1
 
2.3%
Y 1
 
2.3%
S 1
 
2.3%
I 1
 
2.3%
R 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5879
57.7%
ASCII 4309
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1828
42.4%
1 566
 
13.1%
2 353
 
8.2%
- 254
 
5.9%
0 239
 
5.5%
3 196
 
4.5%
4 157
 
3.6%
5 142
 
3.3%
8 137
 
3.2%
7 117
 
2.7%
Other values (18) 320
 
7.4%
Hangul
ValueCountFrequency (%)
지 405
 
6.9%
기 363
 
6.2%
도 355
 
6.0%
시 353
 
6.0%
동 352
 
6.0%
경 347
 
5.9%
번 333
 
5.7%
층 231
 
3.9%
호 164
 
2.8%
구 152
 
2.6%
Other values (292) 2824
48.0%

매장전화번호
Text

MISSING 

Distinct302
Distinct (%)100.0%
Missing43
Missing (%)12.5%
Memory size2.8 KiB
2023-12-11T06:58:59.719604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.162252
Min length11

Characters and Unicode

Total characters3673
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

Unique302 ?
Unique (%)100.0%

Sample

1st row031-751-1351
2nd row031-719-7465
3rd row032-709-5523
4th row031-701-7203
5th row031-755-7435
ValueCountFrequency (%)
031-291-7761 1
 
0.3%
031-903-0462 1
 
0.3%
0507-1359-3532 1
 
0.3%
031-397-7963 1
 
0.3%
031-393-3142 1
 
0.3%
070-4184-5004 1
 
0.3%
031-716-3071 1
 
0.3%
031-765-3927 1
 
0.3%
070-4145-9596 1
 
0.3%
02-2613-5576 1
 
0.3%
Other values (292) 292
96.7%
2023-12-11T06:59:00.155613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 604
16.4%
0 555
15.1%
3 466
12.7%
1 442
12.0%
2 264
7.2%
5 251
6.8%
7 249
6.8%
4 236
 
6.4%
9 218
 
5.9%
6 205
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3069
83.6%
Dash Punctuation 604
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 555
18.1%
3 466
15.2%
1 442
14.4%
2 264
8.6%
5 251
8.2%
7 249
8.1%
4 236
7.7%
9 218
 
7.1%
6 205
 
6.7%
8 183
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 604
16.4%
0 555
15.1%
3 466
12.7%
1 442
12.0%
2 264
7.2%
5 251
6.8%
7 249
6.8%
4 236
 
6.4%
9 218
 
5.9%
6 205
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 604
16.4%
0 555
15.1%
3 466
12.7%
1 442
12.0%
2 264
7.2%
5 251
6.8%
7 249
6.8%
4 236
 
6.4%
9 218
 
5.9%
6 205
 
5.6%

인증기간
Categorical

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2022.04.29.~2024.04.28.
167 
2022.11.15.~2024.11.14.
60 
2022.11.15.~2024.11.14
50 
2023.09.23.~2025.09.22
30 
2023.03.18.~2025.03.17.
27 

Length

Max length23
Median length23
Mean length22.768116
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022.11.15.~2024.11.14.
2nd row2022.11.15.~2024.11.14.
3rd row2022.04.29.~2024.04.28.
4th row2022.11.15.~2024.11.14
5th row2022.04.29.~2024.04.28.

Common Values

ValueCountFrequency (%)
2022.04.29.~2024.04.28. 167
48.4%
2022.11.15.~2024.11.14. 60
 
17.4%
2022.11.15.~2024.11.14 50
 
14.5%
2023.09.23.~2025.09.22 30
 
8.7%
2023.03.18.~2025.03.17. 27
 
7.8%
2022.02.14.~2024.02.13. 11
 
3.2%

Length

2023-12-11T06:59:00.292322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:00.401452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022.04.29.~2024.04.28 167
48.4%
2022.11.15.~2024.11.14 110
31.9%
2023.09.23.~2025.09.22 30
 
8.7%
2023.03.18.~2025.03.17 27
 
7.8%
2022.02.14.~2024.02.13 11
 
3.2%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing345
Missing (%)100.0%
Memory size3.2 KiB

정제우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct312
Distinct (%)92.0%
Missing6
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean13991.327
Minimum10017
Maximum18600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T06:59:00.528919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10017
5-th percentile10218
Q111464.5
median14006
Q316526
95-th percentile18398.6
Maximum18600
Range8583
Interquartile range (IQR)5061.5

Descriptive statistics

Standard deviation2736.1425
Coefficient of variation (CV)0.19555989
Kurtosis-1.3675253
Mean13991.327
Median Absolute Deviation (MAD)2533
Skewness0.095776358
Sum4743060
Variance7486475.9
MonotonicityNot monotonic
2023-12-11T06:59:00.681901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13837 3
 
0.9%
12150 3
 
0.9%
10088 3
 
0.9%
13627 2
 
0.6%
10368 2
 
0.6%
14099 2
 
0.6%
11033 2
 
0.6%
14286 2
 
0.6%
17589 2
 
0.6%
15582 2
 
0.6%
Other values (302) 316
91.6%
(Missing) 6
 
1.7%
ValueCountFrequency (%)
10017 1
 
0.3%
10018 1
 
0.3%
10071 1
 
0.3%
10073 1
 
0.3%
10074 1
 
0.3%
10083 1
 
0.3%
10088 3
0.9%
10097 1
 
0.3%
10102 1
 
0.3%
10104 1
 
0.3%
ValueCountFrequency (%)
18600 1
0.3%
18593 1
0.3%
18505 1
0.3%
18497 1
0.3%
18479 1
0.3%
18476 2
0.6%
18466 1
0.3%
18463 1
0.3%
18459 1
0.3%
18453 1
0.3%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct336
Distinct (%)99.7%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean37.465791
Minimum36.956411
Maximum38.181331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T06:59:00.811116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.956411
5-th percentile37.11113
Q137.294919
median37.428712
Q337.657896
95-th percentile37.823971
Maximum38.181331
Range1.2249194
Interquartile range (IQR)0.36297748

Descriptive statistics

Standard deviation0.23230709
Coefficient of variation (CV)0.0062005122
Kurtosis-0.4118731
Mean37.465791
Median Absolute Deviation (MAD)0.18354941
Skewness0.1749955
Sum12625.972
Variance0.053966586
MonotonicityNot monotonic
2023-12-11T06:59:00.949483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.9789601868 2
 
0.6%
37.3491980369 1
 
0.3%
37.6218551497 1
 
0.3%
37.64350166 1
 
0.3%
37.626721032 1
 
0.3%
37.6884715899 1
 
0.3%
37.6259718548 1
 
0.3%
37.3476722715 1
 
0.3%
37.3703285734 1
 
0.3%
37.6308709819 1
 
0.3%
Other values (326) 326
94.5%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
36.9564111409 1
0.3%
36.9789601868 2
0.6%
36.992826425 1
0.3%
36.9946506789 1
0.3%
36.9962409918 1
0.3%
36.9992291365 1
0.3%
37.0001128972 1
0.3%
37.0014619025 1
0.3%
37.0080120517 1
0.3%
37.0084311868 1
0.3%
ValueCountFrequency (%)
38.1813305573 1
0.3%
38.1007405562 1
0.3%
38.0885027089 1
0.3%
38.0278159026 1
0.3%
38.0267702318 1
0.3%
37.957831412 1
0.3%
37.8984467812 1
0.3%
37.8970133518 1
0.3%
37.8965686104 1
0.3%
37.8927926761 1
0.3%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct336
Distinct (%)99.7%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean126.9958
Minimum126.59929
Maximum127.64949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T06:59:01.090998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59929
5-th percentile126.71066
Q1126.81095
median127.01434
Q3127.11249
95-th percentile127.3059
Maximum127.64949
Range1.0501917
Interquartile range (IQR)0.3015376

Descriptive statistics

Standard deviation0.1992475
Coefficient of variation (CV)0.0015689298
Kurtosis0.34926462
Mean126.9958
Median Absolute Deviation (MAD)0.1255519
Skewness0.48735167
Sum42797.586
Variance0.039699565
MonotonicityNot monotonic
2023-12-11T06:59:01.248631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9190964584 2
 
0.6%
127.1707601961 1
 
0.3%
126.7205735422 1
 
0.3%
126.6261996286 1
 
0.3%
126.702844202 1
 
0.3%
126.6038281051 1
 
0.3%
126.7107281335 1
 
0.3%
126.9437261964 1
 
0.3%
126.938996238 1
 
0.3%
127.1159606727 1
 
0.3%
Other values (326) 326
94.5%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
126.5992941441 1
0.3%
126.6038281051 1
0.3%
126.6261996286 1
0.3%
126.667362725 1
0.3%
126.6723242884 1
0.3%
126.6725636886 1
0.3%
126.6747145334 1
0.3%
126.6847967272 1
0.3%
126.6867669819 1
0.3%
126.6913363791 1
0.3%
ValueCountFrequency (%)
127.6494858612 1
0.3%
127.6350809464 1
0.3%
127.6297466082 1
0.3%
127.5849041585 1
0.3%
127.5149652421 1
0.3%
127.5145794568 1
0.3%
127.4986085792 1
0.3%
127.4911430745 1
0.3%
127.488670928 1
0.3%
127.4885317519 1
0.3%

Interactions

2023-12-11T06:58:56.076783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.132685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.451838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.752072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:56.157018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.219702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.532645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.843729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:56.225464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.294265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.599468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.916646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:56.300191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.377669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.672392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:55.999573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:59:01.354349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업자등록번호인증기간정제우편번호정제WGS84위도정제WGS84경도
시군명1.0000.1620.4170.9920.9700.944
사업자등록번호0.1621.0000.2780.0000.0000.196
인증기간0.4170.2781.0000.0000.2020.261
정제우편번호0.9920.0000.0001.0000.9150.853
정제WGS84위도0.9700.0000.2020.9151.0000.676
정제WGS84경도0.9440.1960.2610.8530.6761.000
2023-12-11T06:59:01.456626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인증기간
시군명1.0000.189
인증기간0.1891.000
2023-12-11T06:59:01.541877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호정제우편번호정제WGS84위도정제WGS84경도시군명인증기간
사업자등록번호1.000-0.0230.035-0.0860.0560.149
정제우편번호-0.0231.000-0.9060.3710.9060.000
정제WGS84위도0.035-0.9061.000-0.2730.7860.107
정제WGS84경도-0.0860.371-0.2731.0000.6900.139
시군명0.0560.9060.7860.6901.0000.189
인증기간0.1490.0000.1070.1390.1891.000

Missing values

2023-12-11T06:58:56.396793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:58:56.536845image/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.
2023-12-11T06:58:56.893335image/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

시군명서점명사업자등록번호정제도로명주소정제지번주소매장전화번호인증기간비고정제우편번호정제WGS84위도정제WGS84경도
0성남시대우서적6982500358경기도 성남시 수정구 남문로69번길 13-1경기도 성남시 수정구 태평동 3139번지<NA>2022.11.15.~2024.11.14.<NA>1328737.447369127.13456
1성남시동양문고2449600049경기도 성남시 분당구 판교로 476경기도 성남시 분당구 이매동 97-5번지 1층 오성빌딩031-751-13512022.11.15.~2024.11.14.<NA>1356637.405142127.126697
2성남시미금문고1299230038경기도 성남시 분당구 돌마로 67경기도 성남시 분당구 금곡동 157번지 금산잼월드 지하1층 101 B1층031-719-74652022.04.29.~2024.04.28.<NA>1361837.350499127.109524
3성남시북포레1119636456경기도 성남시 분당구 중앙공원로40번길 4경기도 성남시 분당구 서현동 93번지 현대카스빌딩 113호032-709-55232022.11.15.~2024.11.14<NA>1358937.380354127.129418
4성남시세종서점1299021345<NA>경기도 성남시 분당구 서현동 91번지 한양아파트 1층031-701-72032022.04.29.~2024.04.28.<NA>1358837.381575127.125233
5성남시위례중앙서점2022968081경기도 성남시 수정구 위례광장로 300경기도 성남시 수정구 창곡동 509번지 중앙타워 B1층 B33,B34호031-755-74352022.11.15.~2024.11.14.<NA>1364037.473479127.142689
6성남시이매문고7745700385경기도 성남시 분당구 판교로 440경기도 성남시 분당구 이매동 131-5번지 도도빌딩 지하1층031-708-65552023.03.18.~2025.03.17.<NA>1352337.405129127.122652
7성남시좋은날의책방2208808526경기도 성남시 분당구 느티로63번길 27경기도 성남시 분당구 정자동 75-3번지 1층031-711-31702022.11.15.~2024.11.14<NA>1361037.371021127.111541
8성남시코끼리서적1299135773경기도 성남시 분당구 내정로166번길 7-6경기도 성남시 분당구 수내동 56번지 코끼리상가 지하1층031-711-02952022.04.29.~2024.04.28.<NA>1359937.373096127.120419
9성남시홍익서점1299000374<NA>경기도 성남시 수정구 중원구 산성대로 486번지 1층031-743-49832022.04.29.~2024.04.28.<NA><NA><NA><NA>
시군명서점명사업자등록번호정제도로명주소정제지번주소매장전화번호인증기간비고정제우편번호정제WGS84위도정제WGS84경도
335이천시서희문고3053576033경기도 이천시 향교로82번길 9-1경기도 이천시 창전동 437-9번지031-637-66772023.03.18.~2025.03.17.<NA>1736437.283797127.446765
336파주시동화나라서점1282468041경기도 파주시 탄현면 헤이리마을길 82-91경기도 파주시 탄현면 법흥리 1652-542번지 크레타 202호031-942-19562023.09.23.~2025.09.22<NA>1085937.788885126.704104
337파주시발전소책방5협동조합5338101129경기도 파주시 꽃아마길 35경기도 파주시 문발동 605-7번지 102호031-942-32552022.04.29.~2024.04.28.<NA>1088437.7197126.707999
338파주시소소한책방5810702068경기도 파주시 와석순환로192번길 35경기도 파주시 동패동 1819번지 1층<NA>2022.11.15.~2024.11.14.<NA>1090137.715285126.74113
339파주시쑬딴스북카페4478601482경기도 파주시 탄현면 헤이리마을길 21-7경기도 파주시 탄현면 법흥리 1652-280번지 1층<NA>2022.11.15.~2024.11.14.<NA>1085937.788245126.696195
340파주시율곡서점1289066640경기도 파주시 정담길 30경기도 파주시 아동동 275-14번지 1층031-946-65892022.04.29.~2024.04.28.<NA>1085337.76959126.777227
341파주시책향기문고3430701958경기도 파주시 청암로17번길 63경기도 파주시 목동동 945번지 장은프라자 201호031-945-34302022.11.15.~2024.11.14.<NA>1089237.728146126.734122
342파주시푸른서점1419014145경기도 파주시 조리읍 봉천로 38-75경기도 파주시 조리읍 봉일천리 203-6번지 1층031-941-51652022.04.29.~2024.04.28.<NA>1093737.744093126.807428
343파주시행복한책방(파주)4078210097경기도 파주시 가람로21번길 27-38경기도 파주시 와동동 1628-5번지 1층031-945-89222022.02.14.~2024.02.13.<NA>1087037.735571126.750649
344평택시비전문고4049200212경기도 평택시 비전5로 11경기도 평택시 비전동 1091-4번지 103호 203호031-653-58122023.03.18.~2025.03.17.<NA>1785437.000113127.112626