Overview

Dataset statistics

Number of variables15
Number of observations55
Missing cells275
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory130.4 B

Variable types

Numeric3
Categorical2
Text4
Unsupported5
DateTime1

Dataset

Description영천시 의약품 도매업소의 업종명, 도로명주소, 지번주소, 영업상태명, 위도, 경도, 전화번호 등 데이터를 제공합니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15110613/fileData.do

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업종명 is highly imbalanced (62.4%)Imbalance
개업일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 55 (100.0%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
연번 has unique valuesUnique
기업명 has unique valuesUnique
개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-16 15:44:25.870720
Analysis finished2023-12-16 15:44:34.482308
Duration8.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-16T15:44:35.056655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-16T15:44:35.642960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
한약도매
51 
의료용 고압가스
 
4

Length

Max length8
Median length4
Mean length4.2909091
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한약도매 51
92.7%
의료용 고압가스 4
 
7.3%

Length

2023-12-16T15:44:36.355930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:44:36.960762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한약도매 51
86.4%
의료용 4
 
6.8%
고압가스 4
 
6.8%

기업명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-16T15:44:37.792344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.5818182
Min length3

Characters and Unicode

Total characters307
Distinct characters105
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row(주)산야초로
2nd row(주)서호약업
3rd row(주)옥천당영천지점
4th row㈜태광유통
5th row(주)퓨어마인드
ValueCountFrequency (%)
주식회사 2
 
3.4%
주)산야초로 1
 
1.7%
제일약업사 1
 
1.7%
광덕안정 1
 
1.7%
스마일허브유통 1
 
1.7%
신영흥건재약품 1
 
1.7%
에스앤디 1
 
1.7%
영성약업사 1
 
1.7%
영천약업사 1
 
1.7%
영천현대약업사 1
 
1.7%
Other values (48) 48
81.4%
2023-12-16T15:44:40.037111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
10.4%
28
 
9.1%
28
 
9.1%
11
 
3.6%
11
 
3.6%
7
 
2.3%
7
 
2.3%
6
 
2.0%
( 5
 
1.6%
5
 
1.6%
Other values (95) 167
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
93.5%
Other Symbol 6
 
2.0%
Open Punctuation 5
 
1.6%
Close Punctuation 5
 
1.6%
Space Separator 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
11.1%
28
 
9.8%
28
 
9.8%
11
 
3.8%
11
 
3.8%
7
 
2.4%
7
 
2.4%
5
 
1.7%
4
 
1.4%
4
 
1.4%
Other values (91) 150
52.3%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
95.4%
Common 14
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
10.9%
28
 
9.6%
28
 
9.6%
11
 
3.8%
11
 
3.8%
7
 
2.4%
7
 
2.4%
6
 
2.0%
5
 
1.7%
4
 
1.4%
Other values (92) 154
52.6%
Common
ValueCountFrequency (%)
( 5
35.7%
) 5
35.7%
4
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
93.5%
ASCII 14
 
4.6%
None 6
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
 
11.1%
28
 
9.8%
28
 
9.8%
11
 
3.8%
11
 
3.8%
7
 
2.4%
7
 
2.4%
5
 
1.7%
4
 
1.4%
4
 
1.4%
Other values (91) 150
52.3%
None
ValueCountFrequency (%)
6
100.0%
ASCII
ValueCountFrequency (%)
( 5
35.7%
) 5
35.7%
4
28.6%
Distinct49
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-16T15:44:40.969506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length24.127273
Min length15

Characters and Unicode

Total characters1327
Distinct characters65
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

Unique46 ?
Unique (%)83.6%

Sample

1st row경상북도 영천시 어봉길 48(대전동)
2nd row경상북도 영천시 한방로 18, A동 114호(도동)
3rd row경상북도 영천시 임고면 황강공단길 15-4
4th row경상북도 영천시 한방로 18, B동 112호(도동)
5th row경상북도 영천시 안완산길 32 (완산동)
ValueCountFrequency (%)
경상북도 55
18.6%
영천시 55
18.6%
18 24
 
8.1%
한방로 23
 
7.8%
완산동 15
 
5.1%
도동 11
 
3.7%
완산로 7
 
2.4%
b동 6
 
2.0%
약전1길 6
 
2.0%
a동 5
 
1.7%
Other values (68) 88
29.8%
2023-12-16T15:44:42.781113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
18.2%
1 86
 
6.5%
78
 
5.9%
64
 
4.8%
58
 
4.4%
58
 
4.4%
56
 
4.2%
55
 
4.1%
55
 
4.1%
55
 
4.1%
Other values (55) 521
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 736
55.5%
Space Separator 241
 
18.2%
Decimal Number 212
 
16.0%
Close Punctuation 44
 
3.3%
Open Punctuation 44
 
3.3%
Other Punctuation 20
 
1.5%
Uppercase Letter 18
 
1.4%
Dash Punctuation 11
 
0.8%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
10.6%
64
 
8.7%
58
 
7.9%
58
 
7.9%
56
 
7.6%
55
 
7.5%
55
 
7.5%
55
 
7.5%
36
 
4.9%
31
 
4.2%
Other values (35) 190
25.8%
Decimal Number
ValueCountFrequency (%)
1 86
40.6%
8 37
17.5%
2 20
 
9.4%
0 18
 
8.5%
4 13
 
6.1%
3 11
 
5.2%
9 8
 
3.8%
6 8
 
3.8%
5 7
 
3.3%
7 4
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
33.3%
A 5
27.8%
D 4
22.2%
E 3
16.7%
Space Separator
ValueCountFrequency (%)
241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 736
55.5%
Common 572
43.1%
Latin 19
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
10.6%
64
 
8.7%
58
 
7.9%
58
 
7.9%
56
 
7.6%
55
 
7.5%
55
 
7.5%
55
 
7.5%
36
 
4.9%
31
 
4.2%
Other values (35) 190
25.8%
Common
ValueCountFrequency (%)
241
42.1%
1 86
 
15.0%
) 44
 
7.7%
( 44
 
7.7%
8 37
 
6.5%
, 20
 
3.5%
2 20
 
3.5%
0 18
 
3.1%
4 13
 
2.3%
- 11
 
1.9%
Other values (5) 38
 
6.6%
Latin
ValueCountFrequency (%)
B 6
31.6%
A 5
26.3%
D 4
21.1%
E 3
15.8%
c 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 736
55.5%
ASCII 591
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
40.8%
1 86
 
14.6%
) 44
 
7.4%
( 44
 
7.4%
8 37
 
6.3%
, 20
 
3.4%
2 20
 
3.4%
0 18
 
3.0%
4 13
 
2.2%
- 11
 
1.9%
Other values (10) 57
 
9.6%
Hangul
ValueCountFrequency (%)
78
10.6%
64
 
8.7%
58
 
7.9%
58
 
7.9%
56
 
7.6%
55
 
7.5%
55
 
7.5%
55
 
7.5%
36
 
4.9%
31
 
4.2%
Other values (35) 190
25.8%
Distinct31
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-16T15:44:43.459250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.072727
Min length16

Characters and Unicode

Total characters994
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)50.9%

Sample

1st row경상북도 영천시 대전동 750-10
2nd row경상북도 영천시 도동 265-1
3rd row경상북도 영천시 임고면 황강리 169-6
4th row경상북도 영천시 도동 265-1
5th row경상북도 영천시 완산동 476번지
ValueCountFrequency (%)
경상북도 55
24.4%
영천시 55
24.4%
도동 23
10.2%
265-1 19
 
8.4%
완산동 19
 
8.4%
924-2 6
 
2.7%
대전동 3
 
1.3%
267-1 2
 
0.9%
원기리 2
 
0.9%
금호읍 2
 
0.9%
Other values (39) 39
17.3%
2023-12-16T15:44:46.745497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
17.2%
79
 
7.9%
55
 
5.5%
55
 
5.5%
55
 
5.5%
55
 
5.5%
55
 
5.5%
55
 
5.5%
- 49
 
4.9%
48
 
4.8%
Other values (45) 317
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
54.9%
Decimal Number 225
22.6%
Space Separator 171
 
17.2%
Dash Punctuation 49
 
4.9%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
14.5%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
48
8.8%
20
 
3.7%
19
 
3.5%
Other values (30) 50
9.2%
Decimal Number
ValueCountFrequency (%)
1 48
21.3%
2 44
19.6%
6 34
15.1%
5 28
12.4%
9 23
10.2%
4 19
 
8.4%
0 9
 
4.0%
3 9
 
4.0%
7 8
 
3.6%
8 3
 
1.3%
Space Separator
ValueCountFrequency (%)
171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
54.9%
Common 448
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
14.5%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
48
8.8%
20
 
3.7%
19
 
3.5%
Other values (30) 50
9.2%
Common
ValueCountFrequency (%)
171
38.2%
- 49
 
10.9%
1 48
 
10.7%
2 44
 
9.8%
6 34
 
7.6%
5 28
 
6.2%
9 23
 
5.1%
4 19
 
4.2%
0 9
 
2.0%
3 9
 
2.0%
Other values (5) 14
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
54.9%
ASCII 448
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
38.2%
- 49
 
10.9%
1 48
 
10.7%
2 44
 
9.8%
6 34
 
7.6%
5 28
 
6.2%
9 23
 
5.1%
4 19
 
4.2%
0 9
 
2.0%
3 9
 
2.0%
Other values (5) 14
 
3.1%
Hangul
ValueCountFrequency (%)
79
14.5%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
55
10.1%
48
8.8%
20
 
3.7%
19
 
3.5%
Other values (30) 50
9.2%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 55
100.0%

Length

2023-12-16T15:44:47.583833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:44:48.126584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 55
100.0%

개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

Distinct31
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.95774
Minimum35.9131
Maximum36.075199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-16T15:44:48.653327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.9131
5-th percentile35.937689
Q135.942642
median35.955828
Q335.961811
95-th percentile36.015665
Maximum36.075199
Range0.1620987
Interquartile range (IQR)0.0191687

Descriptive statistics

Standard deviation0.02729414
Coefficient of variation (CV)0.00075906161
Kurtosis6.62182
Mean35.95774
Median Absolute Deviation (MAD)0.0131852
Skewness2.164132
Sum1977.6757
Variance0.00074497008
MonotonicityNot monotonic
2023-12-16T15:44:49.366320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
35.9426424 20
36.4%
35.9606902 5
 
9.1%
35.9883479 2
 
3.6%
35.9606649 1
 
1.8%
35.9607655 1
 
1.8%
35.943 1
 
1.8%
35.9135 1
 
1.8%
35.9639 1
 
1.8%
35.9611791 1
 
1.8%
35.9625161 1
 
1.8%
Other values (21) 21
38.2%
ValueCountFrequency (%)
35.9131001 1
 
1.8%
35.9135 1
 
1.8%
35.9261326 1
 
1.8%
35.9426424 20
36.4%
35.9427962 1
 
1.8%
35.943 1
 
1.8%
35.9430156 1
 
1.8%
35.9430196 1
 
1.8%
35.9558276 1
 
1.8%
35.9590309 1
 
1.8%
ValueCountFrequency (%)
36.0751988 1
1.8%
36.0297498 1
1.8%
36.0288216 1
1.8%
36.0100265 1
1.8%
35.9883479 2
3.6%
35.9862 1
1.8%
35.9671022 1
1.8%
35.9652138 1
1.8%
35.9639 1
1.8%
35.9625161 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct31
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.92846
Minimum128.80914
Maximum128.99788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-16T15:44:49.978859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80914
5-th percentile128.88263
Q1128.9309
median128.93109
Q3128.93941
95-th percentile128.94363
Maximum128.99788
Range0.1887474
Interquartile range (IQR)0.0085181

Descriptive statistics

Standard deviation0.02430236
Coefficient of variation (CV)0.00018849492
Kurtosis11.348881
Mean128.92846
Median Absolute Deviation (MAD)0.00769
Skewness-2.2986394
Sum7091.0655
Variance0.0005906047
MonotonicityNot monotonic
2023-12-16T15:44:50.902111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
128.9310934 20
36.4%
128.9405098 5
 
9.1%
128.9172067 2
 
3.6%
128.9506953 1
 
1.8%
128.9388323 1
 
1.8%
128.9307 1
 
1.8%
128.8826 1
 
1.8%
128.952 1
 
1.8%
128.9403349 1
 
1.8%
128.9394805 1
 
1.8%
Other values (21) 21
38.2%
ValueCountFrequency (%)
128.8091351 1
1.8%
128.8779161 1
1.8%
128.8826 1
1.8%
128.8826362 1
1.8%
128.8915415 1
1.8%
128.8997065 1
1.8%
128.9164025 1
1.8%
128.9172067 2
3.6%
128.919 1
1.8%
128.9286886 1
1.8%
ValueCountFrequency (%)
128.9978825 1
 
1.8%
128.952 1
 
1.8%
128.9506953 1
 
1.8%
128.9406 1
 
1.8%
128.9405098 5
9.1%
128.9404368 1
 
1.8%
128.9403349 1
 
1.8%
128.9402653 1
 
1.8%
128.9394805 1
 
1.8%
128.9394707 1
 
1.8%
Distinct44
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-16T15:44:52.286250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.236364
Min length12

Characters and Unicode

Total characters673
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

Unique42 ?
Unique (%)76.4%

Sample

1st row054-331-4800
2nd row054-338-8283
3rd row054-337-0702
4th row054-338-3788
5th row054-337-6550
ValueCountFrequency (%)
000-0000-0000 11
 
20.0%
054-336-2298 2
 
3.6%
054-333-7147 1
 
1.8%
054-331-4800 1
 
1.8%
054-337-9162 1
 
1.8%
054-333-7040 1
 
1.8%
054-334-5146 1
 
1.8%
054-335-7007 1
 
1.8%
054-331-3922 1
 
1.8%
054-331-4804 1
 
1.8%
Other values (34) 34
61.8%
2023-12-16T15:44:53.926484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 196
29.1%
- 110
16.3%
3 96
14.3%
4 74
 
11.0%
5 66
 
9.8%
2 27
 
4.0%
7 27
 
4.0%
8 26
 
3.9%
1 25
 
3.7%
6 16
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 563
83.7%
Dash Punctuation 110
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 196
34.8%
3 96
17.1%
4 74
 
13.1%
5 66
 
11.7%
2 27
 
4.8%
7 27
 
4.8%
8 26
 
4.6%
1 25
 
4.4%
6 16
 
2.8%
9 10
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 196
29.1%
- 110
16.3%
3 96
14.3%
4 74
 
11.0%
5 66
 
9.8%
2 27
 
4.0%
7 27
 
4.0%
8 26
 
3.9%
1 25
 
3.7%
6 16
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 196
29.1%
- 110
16.3%
3 96
14.3%
4 74
 
11.0%
5 66
 
9.8%
2 27
 
4.0%
7 27
 
4.0%
8 26
 
3.9%
1 25
 
3.7%
6 16
 
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2023-12-14 00:00:00
Maximum2023-12-14 00:00:00
2023-12-16T15:44:54.713972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:55.943046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-16T15:44:31.429132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:28.149443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:30.033886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:31.878085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:28.605238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:30.506522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:32.390746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:29.439450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:44:30.947000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:44:56.629207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명기업명도로명주소지번주소좌표정보(X)좌표정보(Y)전화번호
연번1.0000.3041.0000.7230.2310.0000.0000.568
업종명0.3041.0001.0001.0001.0000.3170.3531.000
기업명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.7231.0001.0001.0000.9951.0001.0000.990
지번주소0.2311.0001.0000.9951.0001.0001.0000.891
좌표정보(X)0.0000.3171.0001.0001.0001.0000.8840.928
좌표정보(Y)0.0000.3531.0001.0001.0000.8841.0000.866
전화번호0.5681.0001.0000.9900.8910.9280.8661.000
2023-12-16T15:44:57.324641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번좌표정보(X)좌표정보(Y)업종명
연번1.000-0.019-0.0030.283
좌표정보(X)-0.0191.0000.1870.219
좌표정보(Y)-0.0030.1871.0000.495
업종명0.2830.2190.4951.000

Missing values

2023-12-16T15:44:33.136318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:44:34.131234image/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.

Sample

연번업종명기업명도로명주소지번주소영업상태명개업일자폐업일자휴업시작일자휴업종료일자재개업일자좌표정보(X)좌표정보(Y)전화번호데이터기준일자
01한약도매(주)산야초로경상북도 영천시 어봉길 48(대전동)경상북도 영천시 대전동 750-10영업<NA><NA><NA><NA><NA>35.988348128.917207054-331-48002023-12-14
12한약도매(주)서호약업경상북도 영천시 한방로 18, A동 114호(도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-338-82832023-12-14
23한약도매(주)옥천당영천지점경상북도 영천시 임고면 황강공단길 15-4경상북도 영천시 임고면 황강리 169-6영업<NA><NA><NA><NA><NA>36.028822128.997883054-337-07022023-12-14
34한약도매㈜태광유통경상북도 영천시 한방로 18, B동 112호(도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-338-37882023-12-14
45한약도매(주)퓨어마인드경상북도 영천시 안완산길 32 (완산동)경상북도 영천시 완산동 476번지영업<NA><NA><NA><NA><NA>35.960665128.950695054-337-65502023-12-14
56한약도매가락약업사경상북도 영천시 한방로 18, D동 110호 (도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093000-0000-00002023-12-14
67한약도매강진허브경상북도 영천시 한방로 18, B동 114호(도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-338-81802023-12-14
78한약도매경일약업사경상북도 영천시 완산로 16 (완산동)경상북도 영천시 완산동 922-6영업<NA><NA><NA><NA><NA>35.961503128.939471054-332-11472023-12-14
89한약도매고려약업사경상북도 영천시 완산로 18 (완산동)경상북도 영천시 완산동 926-1영업<NA><NA><NA><NA><NA>35.961701128.939359054-332-85842023-12-14
910한약도매글리스코 코리아경상북도 영천시 숭렬당길 29(교촌동)경상북도 영천시 교촌동 179-2영업<NA><NA><NA><NA><NA>35.967102128.928689070-4285-66922023-12-14
연번업종명기업명도로명주소지번주소영업상태명개업일자폐업일자휴업시작일자휴업종료일자재개업일자좌표정보(X)좌표정보(Y)전화번호데이터기준일자
4546한약도매진영약업사경상북도 영천시 완산로 19-1 (완산동)경상북도 영천시 완산동 909-6영업<NA><NA><NA><NA><NA>35.961921128.938856054-332-52252023-12-14
4647한약도매진풍약업사경상북도 영천시 한방로 18(도동) c동 106호경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-337-05502023-12-14
4748한약도매창영약업사경상북도 영천시 완산로 28-1 (완산동)경상북도 영천시 완산동 978-15영업<NA><NA><NA><NA><NA>35.962516128.939481054-333-24002023-12-14
4849한약도매태극인약업사경상북도 영천시 한방로 18, D동 104호 (도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-336-78952023-12-14
4950한약도매태극인허브경상북도 영천시 한방로 18(도동) A동 114호경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-331-30662023-12-14
5051한약도매태창약업사경상북도 영천시 약전길 22 (완산동)경상북도 영천시 완산동 921-10영업<NA><NA><NA><NA><NA>35.961179128.940335054-332-84842023-12-14
5152한약도매파머손경상북도 영천시 바깥완산길 93-26 (완산동)경상북도 영천시 완산동 499-1영업<NA><NA><NA><NA><NA>35.9639128.952000-0000-00002023-12-14
5253한약도매파이토지노믹스(주)경상북도 영천시 금호읍 금창로 208-65경상북도 영천시 금호읍 원기리 14번지영업<NA><NA><NA><NA><NA>35.9135128.8826054-336-22982023-12-14
5354한약도매폴인허브경상북도 영천시 한방로 18, E동 109호 (도동)경상북도 영천시 도동 265-1영업<NA><NA><NA><NA><NA>35.942642128.931093054-333-55882023-12-14
5455한약도매허브애경상북도 영천시 한방로 14, 101호 (도동)경상북도 영천시 도동 267-1영업<NA><NA><NA><NA><NA>35.943128.9307000-0000-00002023-12-14