Overview

Dataset statistics

Number of variables7
Number of observations261
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory59.5 B

Variable types

Numeric3
Categorical4

Dataset

Description대구광역시 남구_의료시설_20230714
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3070641&dataSetDetailId=30706411b05bd0888851&provdMethod=FILE

Alerts

의료기관명 has a high cardinality: 261 distinct valuesHigh cardinality
의료기관주소(도로명) has a high cardinality: 240 distinct valuesHigh cardinality
의료기관전화번호 has a high cardinality: 261 distinct valuesHigh cardinality
순번 is highly overall correlated with 의료기관종별High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
의료기관종별 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-07-22 01:24:45.980001
Analysis finished2023-07-22 01:24:51.164917
Duration5.18 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131
Minimum1
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-07-22T10:24:51.325760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q166
median131
Q3196
95-th percentile248
Maximum261
Range260
Interquartile range (IQR)130

Descriptive statistics

Standard deviation75.48841
Coefficient of variation (CV)0.5762474
Kurtosis-1.2
Mean131
Median Absolute Deviation (MAD)65
Skewness0
Sum34191
Variance5698.5
MonotonicityStrictly increasing
2023-07-22T10:24:52.012414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
130 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
Other values (251) 251
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%

의료기관종별
Categorical

Distinct7
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
의원
120 
한의원
62 
치과의원
61 
요양병원
 
8
병원
 
5
Other values (2)
 
5

Length

Max length4
Median length3
Mean length2.8045977
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
의원 120
46.0%
한의원 62
23.8%
치과의원 61
23.4%
요양병원 8
 
3.1%
병원 5
 
1.9%
종합병원 4
 
1.5%
한방병원 1
 
0.4%

Length

2023-07-22T10:24:52.306745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-22T10:24:52.627078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
의원 120
46.0%
한의원 62
23.8%
치과의원 61
23.4%
요양병원 8
 
3.1%
병원 5
 
1.9%
종합병원 4
 
1.5%
한방병원 1
 
0.4%

의료기관명
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
통합의료진흥원 전인병원
 
1
동산산부인과의원
 
1
리더스재활의학병원
 
1
힘센병원
 
1
문성병원
 
1
Other values (256)
256 

Length

Max length24
Median length13
Mean length7.4137931
Min length4

Unique

Unique261 ?
Unique (%)100.0%

Sample

1st row통합의료진흥원 전인병원
2nd row한영한마음아동병원
3rd row리더스재활의학병원
4th row힘센병원
5th row문성병원

Common Values

ValueCountFrequency (%)
통합의료진흥원 전인병원 1
 
0.4%
동산산부인과의원 1
 
0.4%
리더스재활의학병원 1
 
0.4%
힘센병원 1
 
0.4%
문성병원 1
 
0.4%
대명휴요양병원 1
 
0.4%
고은재활요양병원 1
 
0.4%
명덕효요양병원 1
 
0.4%
현대요양병원 1
 
0.4%
뉴영대요양병원 1
 
0.4%
Other values (251) 251
96.2%

Length

2023-07-22T10:24:52.891164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 17
 
6.0%
통합의료진흥원 1
 
0.4%
성당탑치과의원 1
 
0.4%
최상희치과의원 1
 
0.4%
꿈을심는연합치과의원 1
 
0.4%
노세형치과의원 1
 
0.4%
열린치과의원 1
 
0.4%
성원치과의원 1
 
0.4%
현치과의원 1
 
0.4%
대백연합치과의원 1
 
0.4%
Other values (256) 256
90.8%

의료기관주소(도로명)
Categorical

Distinct240
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
대구광역시 남구 월배로 482 (대명동)
 
3
대구광역시 남구 대명로 180 (대명동)
 
3
대구광역시 남구 대명서로 113 (대명동)
 
2
대구광역시 남구 대명로 162-1 (대명동)
 
2
대구광역시 남구 월배로 468 (대명동)
 
2
Other values (235)
249 

Length

Max length50
Median length46
Mean length25.16092
Min length20

Unique

Unique221 ?
Unique (%)84.7%

Sample

1st row대구광역시 남구 두류공원로 77 (대명동)
2nd row대구광역시 남구 월배로 468 (대명동)
3rd row대구광역시 남구 성당로 268 (대명동)
4th row대구광역시 남구 봉덕로 71 (봉덕동)
5th row대구광역시 남구 성당로 168, 문성병원 (대명동)

Common Values

ValueCountFrequency (%)
대구광역시 남구 월배로 482 (대명동) 3
 
1.1%
대구광역시 남구 대명로 180 (대명동) 3
 
1.1%
대구광역시 남구 대명서로 113 (대명동) 2
 
0.8%
대구광역시 남구 대명로 162-1 (대명동) 2
 
0.8%
대구광역시 남구 월배로 468 (대명동) 2
 
0.8%
대구광역시 남구 월배로 496 (대명동) 2
 
0.8%
대구광역시 남구 대명로 304 (대명동) 2
 
0.8%
대구광역시 남구 명덕로64길 2 (이천동) 2
 
0.8%
대구광역시 남구 봉덕로 77 (봉덕동) 2
 
0.8%
대구광역시 남구 봉덕로 97 (봉덕동) 2
 
0.8%
Other values (230) 239
91.6%

Length

2023-07-22T10:24:53.225842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 261
18.0%
남구 261
18.0%
대명동 186
 
12.8%
대명로 72
 
5.0%
봉덕동 55
 
3.8%
2층 38
 
2.6%
월배로 30
 
2.1%
봉덕로 27
 
1.9%
중앙대로 22
 
1.5%
3층 21
 
1.4%
Other values (249) 481
33.1%

위도
Real number (ℝ)

Distinct188
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.843524
Minimum35.8324
Maximum35.858271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-07-22T10:24:53.579542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum35.8324
5-th percentile35.83464
Q135.838813
median35.842873
Q335.849159
95-th percentile35.854888
Maximum35.858271
Range0.02587068
Interquartile range (IQR)0.01034562

Descriptive statistics

Standard deviation0.0066130631
Coefficient of variation (CV)0.00018449813
Kurtosis-0.9211245
Mean35.843524
Median Absolute Deviation (MAD)0.00421853
Skewness0.43381205
Sum9355.1598
Variance4.3732604 × 10-5
MonotonicityNot monotonic
2023-07-22T10:24:53.955696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83464041 7
 
2.7%
35.83488294 7
 
2.7%
35.83526994 6
 
2.3%
35.83610588 5
 
1.9%
35.83881306 5
 
1.9%
35.83893437 5
 
1.9%
35.85079018 4
 
1.5%
35.85464445 3
 
1.1%
35.85483221 3
 
1.1%
35.83939197 3
 
1.1%
Other values (178) 213
81.6%
ValueCountFrequency (%)
35.83239998 1
 
0.4%
35.83304066 1
 
0.4%
35.83311506 2
 
0.8%
35.83369947 1
 
0.4%
35.83414641 1
 
0.4%
35.83462023 2
 
0.8%
35.83464041 7
2.7%
35.83476166 1
 
0.4%
35.83478141 1
 
0.4%
35.83488294 7
2.7%
ValueCountFrequency (%)
35.85827066 1
0.4%
35.85667321 1
0.4%
35.85664435 1
0.4%
35.85657978 1
0.4%
35.85655045 2
0.8%
35.85633102 1
0.4%
35.85616134 1
0.4%
35.85611531 1
0.4%
35.85516195 1
0.4%
35.85502709 1
0.4%

경도
Real number (ℝ)

Distinct188
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58065
Minimum128.55596
Maximum128.60669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-07-22T10:24:54.300094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum128.55596
5-th percentile128.55614
Q1128.56697
median128.57948
Q3128.59436
95-th percentile128.60375
Maximum128.60669
Range0.0507265
Interquartile range (IQR)0.0273885

Descriptive statistics

Standard deviation0.016125882
Coefficient of variation (CV)0.00012541454
Kurtosis-1.2822185
Mean128.58065
Median Absolute Deviation (MAD)0.0129014
Skewness-0.02745256
Sum33559.549
Variance0.00026004407
MonotonicityNot monotonic
2023-07-22T10:24:54.629444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.555962 7
 
2.7%
128.5561408 7
 
2.7%
128.5562653 6
 
2.3%
128.5567582 5
 
1.9%
128.5751743 5
 
1.9%
128.5648254 5
 
1.9%
128.5736115 4
 
1.5%
128.5910105 3
 
1.1%
128.6057592 3
 
1.1%
128.6022875 3
 
1.1%
Other values (178) 213
81.6%
ValueCountFrequency (%)
128.555962 7
2.7%
128.5561408 7
2.7%
128.5562653 6
2.3%
128.5564268 2
 
0.8%
128.5564776 1
 
0.4%
128.5565119 1
 
0.4%
128.5567582 5
1.9%
128.5569493 1
 
0.4%
128.557072 2
 
0.8%
128.5575303 1
 
0.4%
ValueCountFrequency (%)
128.6066885 3
1.1%
128.6057592 3
1.1%
128.6051392 1
 
0.4%
128.6046175 2
0.8%
128.6044961 1
 
0.4%
128.6041779 1
 
0.4%
128.6039724 1
 
0.4%
128.6038205 1
 
0.4%
128.6037518 3
1.1%
128.6036631 1
 
0.4%

의료기관전화번호
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct261
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
053-670-6000
 
1
053-621-4533
 
1
053-628-1000
 
1
053-470-1000
 
1
053-659-7000
 
1
Other values (256)
256 

Length

Max length13
Median length12
Mean length12.003831
Min length12

Unique

Unique261 ?
Unique (%)100.0%

Sample

1st row053-670-6000
2nd row053-260-7777
3rd row053-628-1000
4th row053-470-1000
5th row053-659-7000

Common Values

ValueCountFrequency (%)
053-670-6000 1
 
0.4%
053-621-4533 1
 
0.4%
053-628-1000 1
 
0.4%
053-470-1000 1
 
0.4%
053-659-7000 1
 
0.4%
053-230-3000 1
 
0.4%
053-213-2300 1
 
0.4%
053-476-0000 1
 
0.4%
053-655-1075 1
 
0.4%
053-215-0119 1
 
0.4%
Other values (251) 251
96.2%

Length

2023-07-22T10:24:55.116375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053-670-6000 1
 
0.4%
053-471-8030 1
 
0.4%
053-471-8275 1
 
0.4%
053-4001-8853 1
 
0.4%
053-472-2804 1
 
0.4%
053-475-2875 1
 
0.4%
053-627-0507 1
 
0.4%
053-629-2875 1
 
0.4%
053-476-7511 1
 
0.4%
053-622-2825 1
 
0.4%
Other values (251) 251
96.2%

Interactions

2023-07-22T10:24:49.643491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:48.158848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:48.910990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:49.974646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:48.449837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:49.163311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:50.239751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:48.692508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-22T10:24:49.417942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-07-22T10:24:55.434874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
순번위도경도
순번1.0000.0660.132
위도0.0661.0000.535
경도0.1320.5351.000
2023-07-22T10:24:55.669956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
순번위도경도
순번1.0000.0920.135
위도0.0921.0000.584
경도0.1350.5841.000
2023-07-22T10:24:55.851735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
순번위도경도
순번1.0000.0590.092
위도0.0591.0000.435
경도0.0920.4351.000
2023-07-22T10:24:56.030893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
순번의료기관종별위도경도
순번1.0000.8220.2890.282
의료기관종별0.8221.0000.1150.403
위도0.2890.1151.0000.843
경도0.2820.4030.8431.000
2023-07-22T10:24:56.226124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
순번위도경도의료기관종별
순번1.0000.0920.1350.601
위도0.0921.0000.5840.057
경도0.1350.5841.0000.208
의료기관종별0.6010.0570.2081.000

Missing values

2023-07-22T10:24:50.562280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-22T10:24:51.022504image/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

순번의료기관종별의료기관명의료기관주소(도로명)위도경도의료기관전화번호
01병원통합의료진흥원 전인병원대구광역시 남구 두류공원로 77 (대명동)35.84332128.569473053-670-6000
12병원한영한마음아동병원대구광역시 남구 월배로 468 (대명동)35.83464128.555962053-260-7777
23병원리더스재활의학병원대구광역시 남구 성당로 268 (대명동)35.856644128.574539053-628-1000
34병원힘센병원대구광역시 남구 봉덕로 71 (봉덕동)35.845132128.59891053-470-1000
45병원문성병원대구광역시 남구 성당로 168, 문성병원 (대명동)35.848777128.570409053-659-7000
56요양병원대명휴요양병원대구광역시 남구 대명로 86, 8~12층 (대명동)35.83905128.566974053-230-3000
67요양병원고은재활요양병원대구광역시 남구 현충로 236, 2~6(4층 일부)층 (대명동)35.853708128.583497053-213-2300
78요양병원명덕효요양병원대구광역시 남구 중앙대로 227, 주1(지하1~5)층 ,주2(지하1~3)층호 (대명동)35.85382128.589997053-476-0000
89요양병원현대요양병원대구광역시 남구 대명로 24 (대명동)35.83792128.560169053-655-1075
910요양병원뉴영대요양병원대구광역시 남구 대명로 275(대명동)35.843707128.586324053-215-0119
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256257한의원강신호한의원대구광역시 남구 대명로 305 (대명동)35.844911128.589101053-624-1552
257258한의원청구한의원대구광역시 남구 중앙대로 241 (대명동)35.855027128.590183053-625-9779
258259한의원혜림한의원대구광역시 남구 이천로 31 (봉덕동)35.843939128.597916053-471-8383
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260261한의원유림한의원대구광역시 남구 대봉로19길 20-2 (이천동)35.847049128.603209053-474-5166