Overview

Dataset statistics

Number of variables18
Number of observations243
Missing cells1458
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.9 KiB
Average record size in memory155.5 B

Variable types

Text3
Categorical4
Numeric3
DateTime2
Unsupported6

Dataset

Description대구광역시_동구_자동차정비업체
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028204&dataSetDetailId=150282041bf9653ecfd03_202001141100&provdMethod=FILE

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
면적 is highly overall correlated with 자동차정비업체종류High correlation
자동차정비업체종류 is highly overall correlated with 면적High correlation
영업상태 is highly imbalanced (93.1%)Imbalance
폐업일자 has 243 (100.0%) missing valuesMissing
휴업시작일자 has 243 (100.0%) missing valuesMissing
휴업종료일자 has 243 (100.0%) missing valuesMissing
운영시작시각 has 243 (100.0%) missing valuesMissing
운영종료시각 has 243 (100.0%) missing valuesMissing
전화번호 has 243 (100.0%) missing valuesMissing
자동차정비업체명 has unique valuesUnique
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
운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-11-18 12:53:32.439364
Analysis finished2023-11-18 12:53:35.135494
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자동차정비업체명
Text

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-11-18T21:53:35.351367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.255144
Min length3

Characters and Unicode

Total characters1763
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)100.0%

Sample

1st row동대구현대서비스
2nd rowThe car service
3rd row용호자동차종합정비
4th row㈜보성정비
5th row반야월자동차정비공장
ValueCountFrequency (%)
주식회사 5
 
1.8%
타이어프로 3
 
1.1%
티스테이션 3
 
1.1%
동대구점 2
 
0.7%
애니카랜드 2
 
0.7%
효목점 2
 
0.7%
대구점 2
 
0.7%
대구공항점 2
 
0.7%
motors 2
 
0.7%
킹카부분정비 1
 
0.4%
Other values (260) 260
91.5%
2023-11-18T21:53:36.196512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 99
 
5.6%
카 97
 
5.5%
비 90
 
5.1%
정 65
 
3.7%
동 63
 
3.6%
터 50
 
2.8%
모 45
 
2.6%
대 45
 
2.6%
41
 
2.3%
이 38
 
2.2%
Other values (252) 1130
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1610
91.3%
Uppercase Letter 60
 
3.4%
Space Separator 41
 
2.3%
Decimal Number 15
 
0.9%
Other Symbol 14
 
0.8%
Lowercase Letter 12
 
0.7%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 99
 
6.1%
카 97
 
6.0%
비 90
 
5.6%
정 65
 
4.0%
동 63
 
3.9%
터 50
 
3.1%
모 45
 
2.8%
대 45
 
2.8%
이 38
 
2.4%
자 37
 
2.3%
Other values (216) 981
60.9%
Uppercase Letter
ValueCountFrequency (%)
T 8
13.3%
O 8
13.3%
S 6
10.0%
R 5
8.3%
I 4
 
6.7%
A 4
 
6.7%
C 4
 
6.7%
N 4
 
6.7%
M 3
 
5.0%
G 3
 
5.0%
Other values (8) 11
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
c 2
16.7%
r 2
16.7%
i 1
 
8.3%
v 1
 
8.3%
s 1
 
8.3%
a 1
 
8.3%
h 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 5
33.3%
3 4
26.7%
1 4
26.7%
5 1
 
6.7%
4 1
 
6.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1624
92.1%
Latin 72
 
4.1%
Common 67
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 99
 
6.1%
카 97
 
6.0%
비 90
 
5.5%
정 65
 
4.0%
동 63
 
3.9%
터 50
 
3.1%
모 45
 
2.8%
대 45
 
2.8%
이 38
 
2.3%
자 37
 
2.3%
Other values (217) 995
61.3%
Latin
ValueCountFrequency (%)
T 8
 
11.1%
O 8
 
11.1%
S 6
 
8.3%
R 5
 
6.9%
I 4
 
5.6%
A 4
 
5.6%
C 4
 
5.6%
N 4
 
5.6%
M 3
 
4.2%
e 3
 
4.2%
Other values (16) 23
31.9%
Common
ValueCountFrequency (%)
41
61.2%
2 5
 
7.5%
) 5
 
7.5%
( 5
 
7.5%
3 4
 
6.0%
1 4
 
6.0%
5 1
 
1.5%
- 1
 
1.5%
4 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1610
91.3%
ASCII 139
 
7.9%
None 14
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 99
 
6.1%
카 97
 
6.0%
비 90
 
5.6%
정 65
 
4.0%
동 63
 
3.9%
터 50
 
3.1%
모 45
 
2.8%
대 45
 
2.8%
이 38
 
2.4%
자 37
 
2.3%
Other values (216) 981
60.9%
ASCII
ValueCountFrequency (%)
41
29.5%
T 8
 
5.8%
O 8
 
5.8%
S 6
 
4.3%
2 5
 
3.6%
R 5
 
3.6%
) 5
 
3.6%
( 5
 
3.6%
I 4
 
2.9%
3 4
 
2.9%
Other values (25) 48
34.5%
None
ValueCountFrequency (%)
㈜ 14
100.0%

자동차정비업체종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
189 
1
29 
2
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 189
77.8%
1 29
 
11.9%
2 25
 
10.3%

Length

2023-11-18T21:53:36.675262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-18T21:53:36.855695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 189
77.8%
1 29
 
11.9%
2 25
 
10.3%

소재지도로명주소
Text

Distinct240
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-11-18T21:53:37.179387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length22.049383
Min length19

Characters and Unicode

Total characters5358
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)97.9%

Sample

1st row대구광역시 동구 안심로55길 10(동호동)
2nd row대구광역시 동구 안심로59길 29(동호동)
3rd row대구광역시 동구 안심로69길 42-1(신서동)
4th row대구광역시 동구 안심로59길 33(동호동)
5th row대구광역시 동구 안심로55길 52(동호동)
ValueCountFrequency (%)
대구광역시 243
24.9%
동구 242
24.8%
안심로 21
 
2.2%
안심로55길 20
 
2.1%
동촌로 14
 
1.4%
반야월로 13
 
1.3%
안심로59길 12
 
1.2%
공항로 11
 
1.1%
동부로 11
 
1.1%
화랑로 7
 
0.7%
Other values (329) 381
39.1%
2023-11-18T21:53:37.931215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
732
 
13.7%
동 582
 
10.9%
구 486
 
9.1%
로 253
 
4.7%
대 245
 
4.6%
광 243
 
4.5%
역 243
 
4.5%
시 243
 
4.5%
) 243
 
4.5%
( 243
 
4.5%
Other values (90) 1845
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3315
61.9%
Decimal Number 793
 
14.8%
Space Separator 732
 
13.7%
Close Punctuation 243
 
4.5%
Open Punctuation 243
 
4.5%
Dash Punctuation 29
 
0.5%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 582
17.6%
구 486
14.7%
로 253
 
7.6%
대 245
 
7.4%
광 243
 
7.3%
역 243
 
7.3%
시 243
 
7.3%
길 100
 
3.0%
신 76
 
2.3%
안 74
 
2.2%
Other values (74) 770
23.2%
Decimal Number
ValueCountFrequency (%)
1 142
17.9%
5 123
15.5%
3 108
13.6%
2 106
13.4%
4 69
8.7%
9 69
8.7%
7 53
 
6.7%
6 50
 
6.3%
0 42
 
5.3%
8 31
 
3.9%
Space Separator
ValueCountFrequency (%)
732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3315
61.9%
Common 2042
38.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 582
17.6%
구 486
14.7%
로 253
 
7.6%
대 245
 
7.4%
광 243
 
7.3%
역 243
 
7.3%
시 243
 
7.3%
길 100
 
3.0%
신 76
 
2.3%
안 74
 
2.2%
Other values (74) 770
23.2%
Common
ValueCountFrequency (%)
732
35.8%
) 243
 
11.9%
( 243
 
11.9%
1 142
 
7.0%
5 123
 
6.0%
3 108
 
5.3%
2 106
 
5.2%
4 69
 
3.4%
9 69
 
3.4%
7 53
 
2.6%
Other values (5) 154
 
7.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3315
61.9%
ASCII 2043
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
732
35.8%
) 243
 
11.9%
( 243
 
11.9%
1 142
 
7.0%
5 123
 
6.0%
3 108
 
5.3%
2 106
 
5.2%
4 69
 
3.4%
9 69
 
3.4%
7 53
 
2.6%
Other values (6) 155
 
7.6%
Hangul
ValueCountFrequency (%)
동 582
17.6%
구 486
14.7%
로 253
 
7.6%
대 245
 
7.4%
광 243
 
7.3%
역 243
 
7.3%
시 243
 
7.3%
길 100
 
3.0%
신 76
 
2.3%
안 74
 
2.2%
Other values (74) 770
23.2%

소재지지번주소
Text

Distinct240
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-11-18T21:53:38.775678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.242798
Min length15

Characters and Unicode

Total characters4433
Distinct characters51
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

Unique237 ?
Unique (%)97.5%

Sample

1st row대구광역시 동구 동호동 109-6
2nd row대구광역시 동구 동호동 102-7
3rd row대구광역시 동구 신서동 637-11
4th row대구광역시 동구 동호동 102-5
5th row대구광역시 동구 동호동 100-6
ValueCountFrequency (%)
대구광역시 243
25.0%
동구 243
25.0%
동호동 42
 
4.3%
용계동 23
 
2.4%
신천동 21
 
2.2%
신암동 20
 
2.1%
효목동 16
 
1.6%
각산동 15
 
1.5%
방촌동 12
 
1.2%
율하동 12
 
1.2%
Other values (254) 325
33.4%
2023-11-18T21:53:39.899633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
16.4%
동 528
11.9%
구 486
11.0%
대 243
 
5.5%
광 243
 
5.5%
역 243
 
5.5%
시 243
 
5.5%
1 227
 
5.1%
- 219
 
4.9%
2 117
 
2.6%
Other values (41) 1155
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2429
54.8%
Decimal Number 1056
23.8%
Space Separator 729
 
16.4%
Dash Punctuation 219
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 528
21.7%
구 486
20.0%
대 243
10.0%
광 243
10.0%
역 243
10.0%
시 243
10.0%
신 61
 
2.5%
호 45
 
1.9%
암 27
 
1.1%
용 23
 
0.9%
Other values (29) 287
11.8%
Decimal Number
ValueCountFrequency (%)
1 227
21.5%
2 117
11.1%
0 113
10.7%
9 95
9.0%
3 94
8.9%
5 92
8.7%
6 90
 
8.5%
4 80
 
7.6%
7 80
 
7.6%
8 68
 
6.4%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2429
54.8%
Common 2004
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 528
21.7%
구 486
20.0%
대 243
10.0%
광 243
10.0%
역 243
10.0%
시 243
10.0%
신 61
 
2.5%
호 45
 
1.9%
암 27
 
1.1%
용 23
 
0.9%
Other values (29) 287
11.8%
Common
ValueCountFrequency (%)
729
36.4%
1 227
 
11.3%
- 219
 
10.9%
2 117
 
5.8%
0 113
 
5.6%
9 95
 
4.7%
3 94
 
4.7%
5 92
 
4.6%
6 90
 
4.5%
4 80
 
4.0%
Other values (2) 148
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2429
54.8%
ASCII 2004
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
36.4%
1 227
 
11.3%
- 219
 
10.9%
2 117
 
5.8%
0 113
 
5.6%
9 95
 
4.7%
3 94
 
4.7%
5 92
 
4.6%
6 90
 
4.5%
4 80
 
4.0%
Other values (2) 148
 
7.4%
Hangul
ValueCountFrequency (%)
동 528
21.7%
구 486
20.0%
대 243
10.0%
광 243
10.0%
역 243
10.0%
시 243
10.0%
신 61
 
2.5%
호 45
 
1.9%
암 27
 
1.1%
용 23
 
0.9%
Other values (29) 287
11.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct241
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.879235
Minimum35.864506
Maximum35.958765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-11-18T21:53:40.427834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.864506
5-th percentile35.867012
Q135.870137
median35.875218
Q335.881915
95-th percentile35.90096
Maximum35.958765
Range0.094259175
Interquartile range (IQR)0.01177854

Descriptive statistics

Standard deviation0.014127177
Coefficient of variation (CV)0.00039374241
Kurtosis8.640746
Mean35.879235
Median Absolute Deviation (MAD)0.00574437
Skewness2.5462897
Sum8718.6542
Variance0.00019957712
MonotonicityNot monotonic
2023-11-18T21:53:40.810679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87176134 3
 
1.2%
35.86714205 1
 
0.4%
35.8747039 1
 
0.4%
35.89280352 1
 
0.4%
35.89149929 1
 
0.4%
35.8756346 1
 
0.4%
35.88823233 1
 
0.4%
35.87003297 1
 
0.4%
35.8852047 1
 
0.4%
35.88553882 1
 
0.4%
Other values (231) 231
95.1%
ValueCountFrequency (%)
35.86450576 1
0.4%
35.86617786 1
0.4%
35.86626816 1
0.4%
35.86627908 1
0.4%
35.86628856 1
0.4%
35.86630951 1
0.4%
35.86646964 1
0.4%
35.86649991 1
0.4%
35.8665406144 1
0.4%
35.86656455 1
0.4%
ValueCountFrequency (%)
35.9587649351 1
0.4%
35.94343336 1
0.4%
35.943153967 1
0.4%
35.94101395 1
0.4%
35.93095227 1
0.4%
35.92077155 1
0.4%
35.9206566864 1
0.4%
35.91604258 1
0.4%
35.9160283 1
0.4%
35.90927995 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct241
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.67471
Minimum128.6092
Maximum128.73766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-11-18T21:53:41.223805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.6092
5-th percentile128.61863
Q1128.64039
median128.67885
Q3128.71533
95-th percentile128.72456
Maximum128.73766
Range0.128458
Interquartile range (IQR)0.074940448

Descriptive statistics

Standard deviation0.038728658
Coefficient of variation (CV)0.00030098111
Kurtosis-1.5324823
Mean128.67471
Median Absolute Deviation (MAD)0.0371684
Skewness-0.076925764
Sum31267.955
Variance0.0014999089
MonotonicityNot monotonic
2023-11-18T21:53:41.503938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7169791 3
 
1.2%
128.7164898 1
 
0.4%
128.7142269 1
 
0.4%
128.6435154 1
 
0.4%
128.6428783 1
 
0.4%
128.623885 1
 
0.4%
128.6454704 1
 
0.4%
128.7295402 1
 
0.4%
128.6151843 1
 
0.4%
128.6541949 1
 
0.4%
Other values (231) 231
95.1%
ValueCountFrequency (%)
128.6091988 1
0.4%
128.6121834 1
0.4%
128.6143386743 1
0.4%
128.6143758 1
0.4%
128.6147774 1
0.4%
128.6149778 1
0.4%
128.6151843 1
0.4%
128.6166246 1
0.4%
128.616705 1
0.4%
128.6169556 1
0.4%
ValueCountFrequency (%)
128.7376568 1
0.4%
128.7373941 1
0.4%
128.7355761 1
0.4%
128.7350761 1
0.4%
128.7347704 1
0.4%
128.7331888 1
0.4%
128.7323837 1
0.4%
128.7295402 1
0.4%
128.7286253 1
0.4%
128.7277899502 1
0.4%

사업등록일자
Date

Distinct230
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1987-12-10 00:00:00
Maximum2023-04-03 00:00:00
2023-11-18T21:53:41.759306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:42.135947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct169
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450.46091
Minimum70
Maximum5179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-11-18T21:53:42.375767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile75
Q198.5
median147
Q3330.5
95-th percentile1730.6
Maximum5179
Range5109
Interquartile range (IQR)232

Descriptive statistics

Standard deviation759.4348
Coefficient of variation (CV)1.6859061
Kurtosis12.383551
Mean450.46091
Median Absolute Deviation (MAD)58
Skewness3.2820087
Sum109462
Variance576741.22
MonotonicityNot monotonic
2023-11-18T21:53:42.678830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 6
 
2.5%
75 5
 
2.1%
77 4
 
1.6%
80 4
 
1.6%
71 4
 
1.6%
99 4
 
1.6%
125 3
 
1.2%
136 3
 
1.2%
94 3
 
1.2%
165 3
 
1.2%
Other values (159) 204
84.0%
ValueCountFrequency (%)
70 1
 
0.4%
71 4
1.6%
72 1
 
0.4%
73 1
 
0.4%
74 2
 
0.8%
75 5
2.1%
76 3
1.2%
77 4
1.6%
78 1
 
0.4%
79 3
1.2%
ValueCountFrequency (%)
5179 1
0.4%
3767 1
0.4%
3749 1
0.4%
3743 1
0.4%
3724 1
0.4%
3442 1
0.4%
3329 1
0.4%
3100 1
0.4%
2044 1
0.4%
1902 1
0.4%

영업상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
241 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 241
99.2%
2 2
 
0.8%

Length

2023-11-18T21:53:42.925944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-18T21:53:43.067062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 241
99.2%
2 2
 
0.8%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
대구광역시 동구청
243 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 동구청
2nd row대구광역시 동구청
3rd row대구광역시 동구청
4th row대구광역시 동구청
5th row대구광역시 동구청

Common Values

ValueCountFrequency (%)
대구광역시 동구청 243
100.0%

Length

2023-11-18T21:53:43.232804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-18T21:53:43.375467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 243
50.0%
동구청 243
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
053-662-3047
243 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-662-3047
2nd row053-662-3047
3rd row053-662-3047
4th row053-662-3047
5th row053-662-3047

Common Values

ValueCountFrequency (%)
053-662-3047 243
100.0%

Length

2023-11-18T21:53:43.511593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-18T21:53:43.662102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-662-3047 243
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2023-11-13 00:00:00
Maximum2023-11-13 00:00:00
2023-11-18T21:53:43.784103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:43.942614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-11-18T21:53:34.138326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.391020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.740099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:34.289299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.504993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.848332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:34.493356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.625913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-18T21:53:33.978271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-11-18T21:53:44.071531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체종류위도경도면적영업상태
자동차정비업체종류1.0000.5210.6070.7780.048
위도0.5211.0000.6570.0000.000
경도0.6070.6571.0000.3150.000
면적0.7780.0000.3151.0000.052
영업상태0.0480.0000.0000.0521.000
2023-11-18T21:53:44.246809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자동차정비업체종류영업상태
자동차정비업체종류1.0000.079
영업상태0.0791.000
2023-11-18T21:53:44.383799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도면적자동차정비업체종류영업상태
위도1.000-0.648-0.2870.2650.000
경도-0.6481.0000.3180.4450.000
면적-0.2870.3181.0000.6850.037
자동차정비업체종류0.2650.4450.6851.0000.079
영업상태0.0000.0000.0370.0791.000

Missing values

2023-11-18T21:53:34.704674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-18T21:53:35.005224image/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

자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
0동대구현대서비스1대구광역시 동구 안심로55길 10(동호동)대구광역시 동구 동호동 109-635.867142128.716491990-03-2837241<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
1The car service1대구광역시 동구 안심로59길 29(동호동)대구광역시 동구 동호동 102-735.868828128.717421992-06-0812761<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
2용호자동차종합정비1대구광역시 동구 안심로69길 42-1(신서동)대구광역시 동구 신서동 637-1135.871314128.7232991993-09-2717591<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
3㈜보성정비1대구광역시 동구 안심로59길 33(동호동)대구광역시 동구 동호동 102-535.869175128.7179851994-10-1937671<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
4반야월자동차정비공장1대구광역시 동구 안심로55길 52(동호동)대구광역시 동구 동호동 100-635.870878128.7160171998-07-1437431<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
5경북교통㈜자가정비1대구광역시 동구 경안로 752(동호동)대구광역시 동구 동호동 105-335.869767128.7140171998-12-2415251<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
6㈜레이스종합정비1대구광역시 동구 안심로55길 9(동호동)대구광역시 동구 동호동 108-735.867104128.7157431999-10-2216121<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
7자동차시대정비공장1대구광역시 동구 공항로31길 9-7(불로동)대구광역시 동구 불로동 96635.901377128.6298531999-12-0412481<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
8영화모터스1대구광역시 동구 아양로10길 19(신암동)대구광역시 동구 신암동 217-2635.881891128.6212582000-02-2131001<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
9송정종합정비1대구광역시 동구 안심로59길 18(각산동)대구광역시 동구 각산동 301-335.867761128.7183942002-07-1314031<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
233클럽레퍼드모터스3대구광역시 동구 공항로 133(불로동)대구광역시 동구 불로동 968-735.90077128.6295192021-06-071581<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
234오일플레이스 대구점3대구광역시 동구 신평로32길 11(신평동)대구광역시 동구 신평동 27235.88145128.6858292021-11-221661<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
235레드모터스3대구광역시 동구 용계로 11(용계동)대구광역시 동구 용계동 135-1535.87456128.6964162021-12-021211<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
236EASY(이지)캠핑카3대구광역시 동구 갓바위로12길 30(진인동)대구광역시 동구 진인동 336-435.958765128.7148312022-03-041111<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
237타이어힐즈 효목점3대구광역시 동구 효동로 26-1, 1층(효목동)대구광역시 동구 효목동 167-1835.880635128.6481142022-04-19801<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
238더블유모터스3대구광역시 동구 동화천로70길 21(지묘동)대구광역시 동구 지묘동 1362-535.943154128.6288272022-04-201221<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
239시원유리막 전문정비3대구광역시 동구 동부로 14-3(신천동)대구광역시 동구 신천동 600-1835.87382128.6143392022-11-16852<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
240영성모터스3대구광역시 동구 안심뉴타운4로 49(율암동)대구광역시 동구 율암동 120535.875463128.7029052023-02-271511<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
241공임나라 이시아폴리스점3대구광역시 동구 팔공로49길 33, A동(봉무동)대구광역시 동구 봉무동 1549-135.920657128.6379692023-02-283271<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13
242지성카센타3대구광역시 동구 동촌로41길 37(방촌동)대구광역시 동구 방촌동 993-535.884331128.6637292023-04-03751<NA><NA><NA><NA><NA><NA>대구광역시 동구청053-662-30472023-11-13