Overview

Dataset statistics

Number of variables18
Number of observations45
Missing cells180
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory155.8 B

Variable types

Categorical11
Unsupported4
Numeric3

Dataset

Description대구광역시_중구_자동차정비업체
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028204&dataSetDetailId=150282041d40360e3310b_201910021421&provdMethod=FILE

Alerts

자동차정비업체종류 has constant value "3"Constant
영업상태 has constant value "1"Constant
관리기관명 has constant value "대구광역시 중구청"Constant
관리기관전화번호 has constant value "053-661-3017"Constant
데이터기준일자 has constant value "2023-07-12"Constant
운영시작시각 is highly overall correlated with 자동차정비업체명 and 1 other fieldsHigh correlation
사업등록일자 is highly overall correlated with 자동차정비업체명High correlation
소재지도로명주소 is highly overall correlated with 자동차정비업체명 and 1 other fieldsHigh correlation
자동차정비업체명 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
전화번호 is highly overall correlated with 자동차정비업체명 and 1 other fieldsHigh correlation
운영종료시각 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 자동차정비업체명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 자동차정비업체명High correlation
면적 is highly overall correlated with 자동차정비업체명High correlation
운영종료시각 is highly imbalanced (51.3%)Imbalance
소재지지번주소 has 45 (100.0%) missing valuesMissing
폐업일자 has 45 (100.0%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
자동차정비업체명 has unique valuesUnique
면적 has unique valuesUnique
소재지지번주소 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

Reproduction

Analysis started2023-07-28 14:53:42.864452
Analysis finished2023-07-28 14:53:46.879736
Duration4.02 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

자동차정비업체명
Categorical

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
무성모터스
 
1
남문자동차서비스
 
1
만도프라자
 
1
보경모터스
 
1
금강카부분정비
 
1
Other values (40)
40 

Length

Max length18
Median length11
Mean length6.7777778
Min length3

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row무성모터스
2nd row남문자동차서비스
3rd row만도프라자
4th row보경모터스
5th row금강카부분정비

Common Values

ValueCountFrequency (%)
무성모터스 1
 
2.2%
남문자동차서비스 1
 
2.2%
만도프라자 1
 
2.2%
보경모터스 1
 
2.2%
금강카부분정비 1
 
2.2%
수창카부분정비 1
 
2.2%
수도카서비스 1
 
2.2%
동북카부분정비 1
 
2.2%
아세아카센타 1
 
2.2%
일광종합부분정비 1
 
2.2%
Other values (35) 35
77.8%

Length

2023-07-28T23:53:46.976786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무성모터스 1
 
1.9%
대성쇼바모터스 1
 
1.9%
남일카 1
 
1.9%
매니져 1
 
1.9%
한국gm중구 1
 
1.9%
바로서비스 1
 
1.9%
남군카사랑 1
 
1.9%
제일밧데리 1
 
1.9%
타이어프로 1
 
1.9%
삼덕점 1
 
1.9%
Other values (43) 43
81.1%

자동차정비업체종류
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
3
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 45
100.0%

Length

2023-07-28T23:53:47.749933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:47.942396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 45
100.0%

소재지도로명주소
Categorical

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
대구광역시 중구 명덕로35길 34(남산동)
 
3
대구광역시 중구 명덕로35길 14(남산동)
 
1
대구광역시 중구 달구벌대로440길 6(대봉동)
 
1
대구광역시 중구 공평로 14(삼덕동2가)
 
1
대구광역시 중구 명덕로35길 28(남산동, 26번지 포함)
 
1
Other values (38)
38 

Length

Max length32
Median length31
Mean length24.266667
Min length20

Unique

Unique42 ?
Unique (%)93.3%

Sample

1st row대구광역시 중구 동덕로36길 84(동인동4가)
2nd row대구광역시 중구 명륜로 46(남산동)
3rd row대구광역시 중구 공평로 14(삼덕동2가)
4th row대구광역시 중구 명덕로35길 28(남산동, 26번지 포함)
5th row대구광역시 중구 명덕로 275(대봉동)

Common Values

ValueCountFrequency (%)
대구광역시 중구 명덕로35길 34(남산동) 3
 
6.7%
대구광역시 중구 명덕로35길 14(남산동) 1
 
2.2%
대구광역시 중구 달구벌대로440길 6(대봉동) 1
 
2.2%
대구광역시 중구 공평로 14(삼덕동2가) 1
 
2.2%
대구광역시 중구 명덕로35길 28(남산동, 26번지 포함) 1
 
2.2%
대구광역시 중구 명덕로 275(대봉동) 1
 
2.2%
대구광역시 중구 달성로26길 98(수창동) 1
 
2.2%
대구광역시 중구 명덕로35길 6(남산동) 1
 
2.2%
대구광역시 중구 국채보상로143길 76(동인동3가) 1
 
2.2%
대구광역시 중구 달구벌대로447길 44-41(삼덕동3가) 1
 
2.2%
Other values (33) 33
73.3%

Length

2023-07-28T23:53:48.122564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 45
24.7%
중구 45
24.7%
명덕로35길 15
 
8.2%
명덕로 4
 
2.2%
34(남산동 3
 
1.6%
동덕로30길 3
 
1.6%
남산로 2
 
1.1%
태평로 2
 
1.1%
달구벌대로447길 2
 
1.1%
달구벌대로 1
 
0.5%
Other values (60) 60
33.0%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

위도
Real number (ℝ)

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.863094
Minimum35.855515
Maximum35.878289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-28T23:53:48.375958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum35.855515
5-th percentile35.857087
Q135.858234
median35.86115
Q335.866813
95-th percentile35.87459
Maximum35.878289
Range0.02277388
Interquartile range (IQR)0.00857884

Descriptive statistics

Standard deviation0.0059673562
Coefficient of variation (CV)0.00016639268
Kurtosis-0.13641046
Mean35.863094
Median Absolute Deviation (MAD)0.00374862
Skewness0.86402785
Sum1613.8392
Variance3.560934 × 10-5
MonotonicityNot monotonic
2023-07-28T23:53:48.596269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
35.85823413 3
 
6.7%
35.86946283 1
 
2.2%
35.86249555 1
 
2.2%
35.86521671 1
 
2.2%
35.85799133 1
 
2.2%
35.85557263 1
 
2.2%
35.87503262 1
 
2.2%
35.85708298 1
 
2.2%
35.87230211 1
 
2.2%
35.86423909 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
35.85551528 1
2.2%
35.85557263 1
2.2%
35.85708298 1
2.2%
35.85710345 1
2.2%
35.85715414 1
2.2%
35.85717321 1
2.2%
35.85740123 1
2.2%
35.85748785 1
2.2%
35.85778653 1
2.2%
35.85799133 1
2.2%
ValueCountFrequency (%)
35.87828916 1
2.2%
35.87599329 1
2.2%
35.87503262 1
2.2%
35.87282055 1
2.2%
35.87270295 1
2.2%
35.87230211 1
2.2%
35.86946283 1
2.2%
35.86908271 1
2.2%
35.86873859 1
2.2%
35.86820274 1
2.2%

경도
Real number (ℝ)

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59374
Minimum128.57578
Maximum128.61212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-28T23:53:48.849044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum128.57578
5-th percentile128.58149
Q1128.58807
median128.58897
Q3128.60436
95-th percentile128.61086
Maximum128.61212
Range0.0363383
Interquartile range (IQR)0.0162917

Descriptive statistics

Standard deviation0.010409446
Coefficient of variation (CV)8.0948311 × 10-5
Kurtosis-1.0524523
Mean128.59374
Median Absolute Deviation (MAD)0.0030537
Skewness0.53831947
Sum5786.7183
Variance0.00010835657
MonotonicityNot monotonic
2023-07-28T23:53:49.081361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
128.5886899 3
 
6.7%
128.6088939 1
 
2.2%
128.6035588 1
 
2.2%
128.6001358 1
 
2.2%
128.5885774 1
 
2.2%
128.6001183 1
 
2.2%
128.5872973 1
 
2.2%
128.5881721 1
 
2.2%
128.6088713 1
 
2.2%
128.6098947 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
128.5757836 1
2.2%
128.5790175 1
2.2%
128.5813779 1
2.2%
128.5819422 1
2.2%
128.5822453 1
2.2%
128.5825412 1
2.2%
128.5828094 1
2.2%
128.5868592 1
2.2%
128.5872973 1
2.2%
128.587674 1
2.2%
ValueCountFrequency (%)
128.6121219 1
2.2%
128.6112912 1
2.2%
128.6109728 1
2.2%
128.6104278 1
2.2%
128.6098947 1
2.2%
128.6094386 1
2.2%
128.6088939 1
2.2%
128.6088713 1
2.2%
128.6071802 1
2.2%
128.6071129 1
2.2%

사업등록일자
Categorical

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
2003-01-13
 
2
2013-04-02
 
2
2004-12-28
 
1
2003-11-18
 
1
1998-03-25
 
1
Other values (38)
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row1998-03-18
2nd row1998-03-25
3rd row1998-10-24
4th row1998-11-13
5th row1999-08-14

Common Values

ValueCountFrequency (%)
2003-01-13 2
 
4.4%
2013-04-02 2
 
4.4%
2004-12-28 1
 
2.2%
2003-11-18 1
 
2.2%
1998-03-25 1
 
2.2%
2005-08-19 1
 
2.2%
1998-10-24 1
 
2.2%
1998-11-13 1
 
2.2%
1999-08-14 1
 
2.2%
1999-10-07 1
 
2.2%
Other values (33) 33
73.3%

Length

2023-07-28T23:53:49.284518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-01-13 2
 
4.4%
2013-04-02 2
 
4.4%
2017-10-19 1
 
2.2%
2017-05-01 1
 
2.2%
2019-11-28 1
 
2.2%
2019-10-16 1
 
2.2%
1998-03-18 1
 
2.2%
2011-06-16 1
 
2.2%
2006-01-26 1
 
2.2%
2007-01-05 1
 
2.2%
Other values (33) 33
73.3%

면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.87387
Minimum61.88
Maximum617.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size533.0 B
2023-07-28T23:53:49.486487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum61.88
5-th percentile67.988
Q191.6
median150.2
Q3262
95-th percentile426.24
Maximum617.2
Range555.32
Interquartile range (IQR)170.4

Descriptive statistics

Standard deviation126.29663
Coefficient of variation (CV)0.66516067
Kurtosis1.830735
Mean189.87387
Median Absolute Deviation (MAD)66.05
Skewness1.3898286
Sum8544.3241
Variance15950.839
MonotonicityNot monotonic
2023-07-28T23:53:49.712815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
150.2 1
 
2.2%
303.1 1
 
2.2%
158.0 1
 
2.2%
184.72 1
 
2.2%
82.0 1
 
2.2%
83.9 1
 
2.2%
84.6 1
 
2.2%
102.46 1
 
2.2%
148.4 1
 
2.2%
101.0 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
61.88 1
2.2%
65.44 1
2.2%
66.99 1
2.2%
71.98 1
2.2%
80.68 1
2.2%
82.0 1
2.2%
83.9 1
2.2%
84.15 1
2.2%
84.6 1
2.2%
87.7 1
2.2%
ValueCountFrequency (%)
617.2 1
2.2%
461.8 1
2.2%
427.0 1
2.2%
423.2 1
2.2%
360.3 1
2.2%
336.42 1
2.2%
312.4 1
2.2%
306.0 1
2.2%
303.1 1
2.2%
277.7 1
2.2%

영업상태
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
1
45 

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 45
100.0%

Length

2023-07-28T23:53:49.938188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:50.144062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 45
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size533.0 B

운영시작시각
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
10:00
33 
09:00
12 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00
2nd row10:00
3rd row10:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 33
73.3%
09:00 12
 
26.7%

Length

2023-07-28T23:53:50.422862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:50.670508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
10:00 33
73.3%
09:00 12
 
26.7%

운영종료시각
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size488.0 B
20:00
37 
19:00
7 
19:30
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row19:00
2nd row20:00
3rd row20:00
4th row20:00
5th row20:00

Common Values

ValueCountFrequency (%)
20:00 37
82.2%
19:00 7
 
15.6%
19:30 1
 
2.2%

Length

2023-07-28T23:53:50.845042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:51.081528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
20:00 37
82.2%
19:00 7
 
15.6%
19:30 1
 
2.2%

전화번호
Categorical

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
053-255-8479
 
3
053-252-7780
 
1
053-428-8572
 
1
053-424-6322
 
1
053-252-4404
 
1
Other values (38)
38 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique42 ?
Unique (%)93.3%

Sample

1st row053-428-1538
2nd row053-253-0180
3rd row053-424-6322
4th row053-252-4404
5th row053-425-6690

Common Values

ValueCountFrequency (%)
053-255-8479 3
 
6.7%
053-252-7780 1
 
2.2%
053-428-8572 1
 
2.2%
053-424-6322 1
 
2.2%
053-252-4404 1
 
2.2%
053-425-6690 1
 
2.2%
053-255-2536 1
 
2.2%
053-257-0566 1
 
2.2%
053-421-7632 1
 
2.2%
053-255-2802 1
 
2.2%
Other values (33) 33
73.3%

Length

2023-07-28T23:53:51.267390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053-255-8479 3
 
6.7%
053-422-0737 1
 
2.2%
053-423-0467 1
 
2.2%
053-254-5705 1
 
2.2%
053-255-8252 1
 
2.2%
053-255-1556 1
 
2.2%
053-741-5088 1
 
2.2%
053-254-4645 1
 
2.2%
053-428-3655 1
 
2.2%
053-424-0951 1
 
2.2%
Other values (33) 33
73.3%

관리기관명
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
대구광역시 중구청
45 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 중구청 45
100.0%

Length

2023-07-28T23:53:51.562151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:51.991869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 45
50.0%
중구청 45
50.0%

관리기관전화번호
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
053-661-3017
45 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-661-3017
2nd row053-661-3017
3rd row053-661-3017
4th row053-661-3017
5th row053-661-3017

Common Values

ValueCountFrequency (%)
053-661-3017 45
100.0%

Length

2023-07-28T23:53:52.236599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:52.495239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
053-661-3017 45
100.0%

데이터기준일자
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size488.0 B
2023-07-12
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-12
2nd row2023-07-12
3rd row2023-07-12
4th row2023-07-12
5th row2023-07-12

Common Values

ValueCountFrequency (%)
2023-07-12 45
100.0%

Length

2023-07-28T23:53:52.705850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-28T23:53:52.896096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-12 45
100.0%

Interactions

2023-07-28T23:53:45.507905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:44.288875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:44.899859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:45.680101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:44.484947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:45.098821image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:45.901268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:44.699182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-28T23:53:45.316920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-07-28T23:53:53.302712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
자동차정비업체종류소재지지번주소위도경도면적영업상태폐업일자휴업시작일자휴업종료일자
자동차정비업체종류NaNNaNNaNNaNNaNNaNNaNNaNNaN
소재지지번주소NaNNaNNaNNaNNaNNaNNaNNaNNaN
위도NaNNaN1.0000.1660.128NaNNaNNaNNaN
경도NaNNaN0.1661.0000.002NaNNaNNaNNaN
면적NaNNaN0.1280.0021.000NaNNaNNaNNaN
영업상태NaNNaNNaNNaNNaNNaNNaNNaNNaN
폐업일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업시작일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업종료일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
2023-07-28T23:53:53.614242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
자동차정비업체종류소재지지번주소위도경도면적영업상태폐업일자휴업시작일자휴업종료일자
자동차정비업체종류NaNNaNNaNNaNNaNNaNNaNNaNNaN
소재지지번주소NaNNaNNaNNaNNaNNaNNaNNaNNaN
위도NaNNaN1.0000.1600.150NaNNaNNaNNaN
경도NaNNaN0.1601.000-0.099NaNNaNNaNNaN
면적NaNNaN0.150-0.0991.000NaNNaNNaNNaN
영업상태NaNNaNNaNNaNNaNNaNNaNNaNNaN
폐업일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업시작일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업종료일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
2023-07-28T23:53:53.949733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
자동차정비업체종류소재지지번주소위도경도면적영업상태폐업일자휴업시작일자휴업종료일자
자동차정비업체종류1.000NaNNaNNaNNaNNaNNaNNaNNaN
소재지지번주소NaNNaNNaNNaNNaNNaNNaNNaNNaN
위도NaNNaN1.0000.1790.082NaNNaNNaNNaN
경도NaNNaN0.1791.000-0.070NaNNaNNaNNaN
면적NaNNaN0.082-0.0701.000NaNNaNNaNNaN
영업상태NaNNaNNaNNaNNaN1.000NaNNaNNaN
폐업일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업시작일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
휴업종료일자NaNNaNNaNNaNNaNNaNNaNNaNNaN
2023-07-28T23:53:54.284114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
자동차정비업체명소재지도로명주소위도경도사업등록일자면적운영시작시각운영종료시각전화번호
자동차정비업체명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0000.9841.0001.0001.0001.000
위도1.0001.0001.0000.5800.0000.3130.4190.8331.000
경도1.0001.0000.5801.0000.9670.5730.0000.2151.000
사업등록일자1.0000.9840.0000.9671.0000.9041.0000.0000.984
면적1.0001.0000.3130.5730.9041.0000.0910.0001.000
운영시작시각1.0001.0000.4190.0001.0000.0911.0000.4491.000
운영종료시각1.0001.0000.8330.2150.0000.0000.4491.0001.000
전화번호1.0001.0001.0001.0000.9841.0001.0001.0001.000
2023-07-28T23:53:54.573032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
운영시작시각사업등록일자소재지도로명주소자동차정비업체명전화번호운영종료시각
운영시작시각1.0000.2160.2161.0000.2160.688
사업등록일자0.2161.0000.0001.0000.0000.000
소재지도로명주소0.2160.0001.0001.0001.0000.218
자동차정비업체명1.0001.0001.0001.0001.0001.000
전화번호0.2160.0001.0001.0001.0000.218
운영종료시각0.6880.0000.2181.0000.2181.000
2023-07-28T23:53:54.780603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
위도경도면적자동차정비업체명소재지도로명주소사업등록일자운영시작시각운영종료시각전화번호
위도1.0000.1600.1501.0000.4630.0000.2830.6740.463
경도0.1601.000-0.0991.0000.4080.2860.0000.0000.408
면적0.150-0.0991.0001.0000.4360.1290.0530.0000.436
자동차정비업체명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.4630.4080.4361.0001.0000.0000.2160.2181.000
사업등록일자0.0000.2860.1291.0000.0001.0000.2160.0000.000
운영시작시각0.2830.0000.0531.0000.2160.2161.0000.6880.216
운영종료시각0.6740.0000.0001.0000.2180.0000.6881.0000.218
전화번호0.4630.4080.4361.0001.0000.0000.2160.2181.000

Missing values

2023-07-28T23:53:46.201746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-28T23:53:46.725425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
0무성모터스3대구광역시 중구 동덕로36길 84(동인동4가)<NA>35.869463128.6088941998-03-18150.21<NA><NA><NA>09:0019:00053-428-1538대구광역시 중구청053-661-30172023-07-12
1남문자동차서비스3대구광역시 중구 명륜로 46(남산동)<NA>35.862456128.5898291998-03-25172.0021<NA><NA><NA>10:0020:00053-253-0180대구광역시 중구청053-661-30172023-07-12
2만도프라자3대구광역시 중구 공평로 14(삼덕동2가)<NA>35.865217128.6001361998-10-24158.01<NA><NA><NA>10:0020:00053-424-6322대구광역시 중구청053-661-30172023-07-12
3보경모터스3대구광역시 중구 명덕로35길 28(남산동, 26번지 포함)<NA>35.857991128.5885771998-11-13184.721<NA><NA><NA>10:0020:00053-252-4404대구광역시 중구청053-661-30172023-07-12
4금강카부분정비3대구광역시 중구 명덕로 275(대봉동)<NA>35.855573128.6001181999-08-1482.01<NA><NA><NA>10:0020:00053-425-6690대구광역시 중구청053-661-30172023-07-12
5수창카부분정비3대구광역시 중구 달성로26길 98(수창동)<NA>35.875033128.5872971999-10-0783.91<NA><NA><NA>10:0020:00053-255-2536대구광역시 중구청053-661-30172023-07-12
6수도카서비스3대구광역시 중구 명덕로35길 34(남산동)<NA>35.858234128.588691999-11-2284.61<NA><NA><NA>09:0020:00053-255-8479대구광역시 중구청053-661-30172023-07-12
7동북카부분정비3대구광역시 중구 명덕로35길 34(남산동)<NA>35.858234128.588692000-02-25102.461<NA><NA><NA>09:0020:00053-255-8479대구광역시 중구청053-661-30172023-07-12
8아세아카센타3대구광역시 중구 명덕로35길 6(남산동)<NA>35.857083128.5881722000-06-27148.41<NA><NA><NA>10:0020:00053-257-0566대구광역시 중구청053-661-30172023-07-12
9일광종합부분정비3대구광역시 중구 국채보상로143길 76(동인동3가)<NA>35.872302128.6088712000-10-11101.01<NA><NA><NA>10:0020:00053-421-7632대구광역시 중구청053-661-30172023-07-12
자동차정비업체명자동차정비업체종류소재지도로명주소소재지지번주소위도경도사업등록일자면적영업상태폐업일자휴업시작일자휴업종료일자운영시작시각운영종료시각전화번호관리기관명관리기관전화번호데이터기준일자
35타이어웨이3대구광역시 중구 국채보상로 737(동인동4가)<NA>35.868739128.6112912013-04-02336.421<NA><NA><NA>10:0020:00053-422-0737대구광역시 중구청053-661-30172023-07-12
36에이원모터스3대구광역시 중구 태평로 283(동인동3가)<NA>35.878289128.5813782013-04-02123.571<NA><NA><NA>10:0019:30053-290-7171대구광역시 중구청053-661-30172023-07-12
37원모터스3대구광역시 중구 명덕로35길 75(남산동)<NA>35.860088128.5892792015-09-23109.01<NA><NA><NA>09:0019:00053-254-3701대구광역시 중구청053-661-30172023-07-12
38타이어테크 태평로점3대구광역시 중구 태평로 129-1(태평로2가)<NA>35.875993128.5917232016-04-04617.21<NA><NA><NA>10:0020:00053-423-6688대구광역시 중구청053-661-30172023-07-12
39세븐카3대구광역시 중구 명덕로35길 87(남산동)<NA>35.860598128.589462016-10-2471.981<NA><NA><NA>09:0019:00053-257-2645대구광역시 중구청053-661-30172023-07-12
40스피드메이트 달구벌점3대구광역시 중구 달구벌대로 1933(대신동)<NA>35.863317128.5757842017-05-01226.681<NA><NA><NA>10:0020:00053-431-0581대구광역시 중구청053-661-30172023-07-12
41대신카부분정비3대구광역시 중구 국채보상로142길 37-15(동인동4가)<NA>35.866855128.6094392017-10-19146.61<NA><NA><NA>10:0020:00053-475-0873대구광역시 중구청053-661-30172023-07-12
42오토코리아3대구광역시 중구 동덕로30길 151-4(동인동4가)<NA>35.865886128.6121222019-10-16106.21<NA><NA><NA>09:0020:00053-623-0015대구광역시 중구청053-661-30172023-07-12
43카페더카3대구광역시 중구 달구벌대로393길 20(대신동)<NA>35.864924128.5790172019-11-28306.01<NA><NA><NA>09:0019:00053-356-1197대구광역시 중구청053-661-30172023-07-12
44정션코리아 대구지사3대구광역시 중구 중앙대로 289-42(남산동)<NA>35.859862128.5894992020-06-1965.441<NA><NA><NA>09:0019:00053-256-0360대구광역시 중구청053-661-30172023-07-12