Overview

Dataset statistics

Number of variables23
Number of observations4104
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory749.6 KiB
Average record size in memory187.0 B

Variable types

Numeric3
Categorical19
Text1

Dataset

Description양산시 지능형홈시스템 경로당복지시스템를 기반의 읍면동 기준 경로당에 거주하는 어른신의 건상 정보데이터입니다. 나이 성별 혈당, 흡연, 음주, 운동, 조기발견, 혈당 , 소변검사, 요당, 빌리부빈, 케톤체, 요비중, 요잠혈 등 정보를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15092008/fileData.do

Alerts

흡연유무 is highly imbalanced (50.9%)Imbalance
음주유무 is highly imbalanced (50.1%)Imbalance
조기발견자 is highly imbalanced (73.8%)Imbalance
소변검사 유로비리노겐 is highly imbalanced (92.1%)Imbalance
소변검사 요당 is highly imbalanced (93.4%)Imbalance
소변검사 빌리루빈 is highly imbalanced (92.3%)Imbalance
소변검사 케톤체 is highly imbalanced (93.8%)Imbalance
소변검사 요비중 is highly imbalanced (93.1%)Imbalance
소변검사요잠혈 is highly imbalanced (93.2%)Imbalance
소변검사요산도 is highly imbalanced (91.6%)Imbalance
소변검사 요단백 is highly imbalanced (93.2%)Imbalance
소변검사 요아질산염 is highly imbalanced (92.3%)Imbalance
소변검사 요백혈구 is highly imbalanced (91.6%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:27:50.742880
Analysis finished2023-12-11 23:27:51.270531
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2052.5331
Minimum1
Maximum4105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2023-12-12T08:27:51.635703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile206.15
Q11026.75
median2052.5
Q33078.25
95-th percentile3898.85
Maximum4105
Range4104
Interquartile range (IQR)2051.5

Descriptive statistics

Standard deviation1184.9226
Coefficient of variation (CV)0.57729767
Kurtosis-1.1998107
Mean2052.5331
Median Absolute Deviation (MAD)1026
Skewness0.00015165744
Sum8423596
Variance1404041.6
MonotonicityStrictly increasing
2023-12-12T08:27:51.793862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2823 1
 
< 0.1%
2729 1
 
< 0.1%
2730 1
 
< 0.1%
2731 1
 
< 0.1%
2732 1
 
< 0.1%
2733 1
 
< 0.1%
2734 1
 
< 0.1%
2735 1
 
< 0.1%
2736 1
 
< 0.1%
Other values (4094) 4094
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4105 1
< 0.1%
4104 1
< 0.1%
4103 1
< 0.1%
4102 1
< 0.1%
4101 1
< 0.1%
4100 1
< 0.1%
4099 1
< 0.1%
4098 1
< 0.1%
4097 1
< 0.1%
4096 1
< 0.1%

지역
Categorical

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
물금읍
886 
상북면
457 
동면
422 
양주동
334 
서창동
306 
Other values (8)
1699 

Length

Max length3
Median length3
Mean length2.8971735
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하북면
2nd row하북면
3rd row하북면
4th row하북면
5th row강서동

Common Values

ValueCountFrequency (%)
물금읍 886
21.6%
상북면 457
11.1%
동면 422
10.3%
양주동 334
 
8.1%
서창동 306
 
7.5%
하북면 299
 
7.3%
중앙동 288
 
7.0%
원동면 277
 
6.7%
소주동 238
 
5.8%
강서동 203
 
4.9%
Other values (3) 394
9.6%

Length

2023-12-12T08:27:51.926169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 886
21.6%
상북면 457
11.1%
동면 422
10.3%
양주동 334
 
8.1%
서창동 306
 
7.5%
하북면 299
 
7.3%
중앙동 288
 
7.0%
원동면 277
 
6.7%
소주동 238
 
5.8%
강서동 203
 
4.9%
Other values (3) 394
9.6%

경로당명
Text

Distinct268
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
2023-12-12T08:27:52.222596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length5.3257797
Min length2

Characters and Unicode

Total characters21857
Distinct characters217
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row진목
2nd row진목
3rd row진목
4th row진목
5th row창조아파트
ValueCountFrequency (%)
아파트 91
 
2.1%
주공7단지휴먼시아아파트 56
 
1.3%
청어람아파트 52
 
1.2%
서부 51
 
1.2%
신도시대동 45
 
1.0%
북부주공(성북안 43
 
1.0%
대성 43
 
1.0%
뜰안채아파트 41
 
0.9%
주남 37
 
0.9%
본법(법기 36
 
0.8%
Other values (266) 3857
88.6%
2023-12-12T08:27:52.753702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1420
 
6.5%
트 1324
 
6.1%
파 1302
 
6.0%
동 860
 
3.9%
차 618
 
2.8%
대 460
 
2.1%
산 432
 
2.0%
) 378
 
1.7%
( 378
 
1.7%
리 361
 
1.7%
Other values (207) 14324
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19543
89.4%
Decimal Number 1041
 
4.8%
Close Punctuation 378
 
1.7%
Open Punctuation 378
 
1.7%
Space Separator 337
 
1.5%
Uppercase Letter 163
 
0.7%
Dash Punctuation 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1420
 
7.3%
트 1324
 
6.8%
파 1302
 
6.7%
동 860
 
4.4%
차 618
 
3.2%
대 460
 
2.4%
산 432
 
2.2%
리 361
 
1.8%
주 360
 
1.8%
지 354
 
1.8%
Other values (192) 12052
61.7%
Decimal Number
ValueCountFrequency (%)
2 341
32.8%
1 268
25.7%
3 127
 
12.2%
5 105
 
10.1%
7 68
 
6.5%
4 52
 
5.0%
6 47
 
4.5%
8 33
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
L 64
39.3%
H 64
39.3%
E 35
21.5%
Close Punctuation
ValueCountFrequency (%)
) 378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 378
100.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19543
89.4%
Common 2151
 
9.8%
Latin 163
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1420
 
7.3%
트 1324
 
6.8%
파 1302
 
6.7%
동 860
 
4.4%
차 618
 
3.2%
대 460
 
2.4%
산 432
 
2.2%
리 361
 
1.8%
주 360
 
1.8%
지 354
 
1.8%
Other values (192) 12052
61.7%
Common
ValueCountFrequency (%)
) 378
17.6%
( 378
17.6%
2 341
15.9%
337
15.7%
1 268
12.5%
3 127
 
5.9%
5 105
 
4.9%
7 68
 
3.2%
4 52
 
2.4%
6 47
 
2.2%
Other values (2) 50
 
2.3%
Latin
ValueCountFrequency (%)
L 64
39.3%
H 64
39.3%
E 35
21.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19543
89.4%
ASCII 2314
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1420
 
7.3%
트 1324
 
6.8%
파 1302
 
6.7%
동 860
 
4.4%
차 618
 
3.2%
대 460
 
2.4%
산 432
 
2.2%
리 361
 
1.8%
주 360
 
1.8%
지 354
 
1.8%
Other values (192) 12052
61.7%
ASCII
ValueCountFrequency (%)
) 378
16.3%
( 378
16.3%
2 341
14.7%
337
14.6%
1 268
11.6%
3 127
 
5.5%
5 105
 
4.5%
7 68
 
2.9%
L 64
 
2.8%
H 64
 
2.8%
Other values (5) 184
8.0%

나이
Real number (ℝ)

Distinct54
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.357943
Minimum2
Maximum1084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2023-12-12T08:27:52.913972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile67
Q174
median79
Q383
95-th percentile89
Maximum1084
Range1082
Interquartile range (IQR)9

Descriptive statistics

Standard deviation58.810343
Coefficient of variation (CV)0.72285926
Kurtosis273.69272
Mean81.357943
Median Absolute Deviation (MAD)4
Skewness16.368249
Sum333893
Variance3458.6564
MonotonicityNot monotonic
2023-12-12T08:27:53.050387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 328
 
8.0%
81 266
 
6.5%
80 247
 
6.0%
82 247
 
6.0%
78 242
 
5.9%
83 236
 
5.8%
74 228
 
5.6%
84 195
 
4.8%
76 192
 
4.7%
75 174
 
4.2%
Other values (44) 1749
42.6%
ValueCountFrequency (%)
2 1
 
< 0.1%
4 1
 
< 0.1%
21 57
1.4%
52 1
 
< 0.1%
57 1
 
< 0.1%
59 1
 
< 0.1%
61 5
 
0.1%
62 10
 
0.2%
63 5
 
0.1%
64 13
 
0.3%
ValueCountFrequency (%)
1084 1
 
< 0.1%
1080 2
< 0.1%
1078 1
 
< 0.1%
1076 1
 
< 0.1%
1075 2
< 0.1%
1070 3
0.1%
1068 1
 
< 0.1%
1067 3
0.1%
173 1
 
< 0.1%
100 3
0.1%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
여자
3122 
남자
982 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남자
2nd row여자
3rd row여자
4th row여자
5th row여자

Common Values

ValueCountFrequency (%)
여자 3122
76.1%
남자 982
 
23.9%

Length

2023-12-12T08:27:53.164574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:53.258007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여자 3122
76.1%
남자 982
 
23.9%

혈당
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
무
3123 
유
946 
미입력
 
35

Length

Max length3
Median length1
Mean length1.0170565
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무
2nd row무
3rd row무
4th row유
5th row무

Common Values

ValueCountFrequency (%)
무 3123
76.1%
유 946
 
23.1%
미입력 35
 
0.9%

Length

2023-12-12T08:27:53.366667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:53.489752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 3123
76.1%
유 946
 
23.1%
미입력 35
 
0.9%

혈당 판정범위
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
정상
2143 
당뇨병 전단계
1576 
당뇨병
385 

Length

Max length7
Median length2
Mean length4.0138889
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row당뇨병 전단계
5th row정상

Common Values

ValueCountFrequency (%)
정상 2143
52.2%
당뇨병 전단계 1576
38.4%
당뇨병 385
 
9.4%

Length

2023-12-12T08:27:53.596800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:53.709566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2143
37.7%
당뇨병 1961
34.5%
전단계 1576
27.7%

혈당검사 식전/식후
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
식후
2089 
식후2시간
1808 
식전
 
207

Length

Max length5
Median length2
Mean length3.3216374
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식후2시간
2nd row식후2시간
3rd row식후2시간
4th row식후2시간
5th row식후

Common Values

ValueCountFrequency (%)
식후 2089
50.9%
식후2시간 1808
44.1%
식전 207
 
5.0%

Length

2023-12-12T08:27:53.820088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:53.927292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식후 2089
50.9%
식후2시간 1808
44.1%
식전 207
 
5.0%

흡연유무
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
미입력
3231 
무
855 
유
 
18

Length

Max length3
Median length3
Mean length2.5745614
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미입력
2nd row미입력
3rd row미입력
4th row미입력
5th row무

Common Values

ValueCountFrequency (%)
미입력 3231
78.7%
무 855
 
20.8%
유 18
 
0.4%

Length

2023-12-12T08:27:54.038517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:54.161613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미입력 3231
78.7%
무 855
 
20.8%
유 18
 
0.4%

음주유무
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
미입력
3231 
무
845 
유
 
28

Length

Max length3
Median length3
Mean length2.5745614
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미입력
2nd row미입력
3rd row미입력
4th row미입력
5th row무

Common Values

ValueCountFrequency (%)
미입력 3231
78.7%
무 845
 
20.6%
유 28
 
0.7%

Length

2023-12-12T08:27:54.293946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:54.419736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미입력 3231
78.7%
무 845
 
20.6%
유 28
 
0.7%

운동유무
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
미입력
3233 
무
783 
유
 
88

Length

Max length3
Median length3
Mean length2.5755361
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미입력
2nd row미입력
3rd row미입력
4th row미입력
5th row무

Common Values

ValueCountFrequency (%)
미입력 3233
78.8%
무 783
 
19.1%
유 88
 
2.1%

Length

2023-12-12T08:27:54.545246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:54.686255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미입력 3233
78.8%
무 783
 
19.1%
유 88
 
2.1%

조기발견자
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
무
3922 
유
 
182

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무 3922
95.6%
유 182
 
4.4%

Length

2023-12-12T08:27:54.798200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:54.909804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 3922
95.6%
유 182
 
4.4%

혈당 측정결과
Real number (ℝ)

Distinct260
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.41326
Minimum0
Maximum1802
Zeros14
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size36.2 KiB
2023-12-12T08:27:55.010442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96
Q1119
median139
Q3164
95-th percentile229
Maximum1802
Range1802
Interquartile range (IQR)45

Descriptive statistics

Standard deviation66.773708
Coefficient of variation (CV)0.44991741
Kurtosis203.21024
Mean148.41326
Median Absolute Deviation (MAD)22
Skewness10.954817
Sum609088
Variance4458.728
MonotonicityNot monotonic
2023-12-12T08:27:55.158815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134 69
 
1.7%
132 63
 
1.5%
114 63
 
1.5%
125 57
 
1.4%
144 57
 
1.4%
121 57
 
1.4%
120 55
 
1.3%
146 54
 
1.3%
140 54
 
1.3%
124 54
 
1.3%
Other values (250) 3521
85.8%
ValueCountFrequency (%)
0 14
0.3%
59 1
 
< 0.1%
61 1
 
< 0.1%
66 1
 
< 0.1%
68 1
 
< 0.1%
70 4
 
0.1%
73 1
 
< 0.1%
74 2
 
< 0.1%
75 4
 
0.1%
76 4
 
0.1%
ValueCountFrequency (%)
1802 1
< 0.1%
1502 1
< 0.1%
1223 1
< 0.1%
1196 1
< 0.1%
1189 1
< 0.1%
1157 1
< 0.1%
1020 1
< 0.1%
969 1
< 0.1%
600 1
< 0.1%
581 1
< 0.1%

소변검사 유로비리노겐
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
58
경고
 
7

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 58
 
1.4%
경고 7
 
0.2%

Length

2023-12-12T08:27:55.294103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:55.403677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 58
 
1.4%
경고 7
 
0.2%

소변검사 요당
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
52
주의
 
9
경고
 
4

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 52
 
1.3%
주의 9
 
0.2%
경고 4
 
0.1%

Length

2023-12-12T08:27:55.530772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:55.628891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 52
 
1.3%
주의 9
 
0.2%
경고 4
 
0.1%

소변검사 빌리루빈
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
61
경고
 
4

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 61
 
1.5%
경고 4
 
0.1%

Length

2023-12-12T08:27:55.745178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:55.842301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 61
 
1.5%
경고 4
 
0.1%

소변검사 케톤체
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
61
경고
 
3
주의
 
1

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 61
 
1.5%
경고 3
 
0.1%
주의 1
 
< 0.1%

Length

2023-12-12T08:27:55.942837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:56.043921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 61
 
1.5%
경고 3
 
0.1%
주의 1
 
< 0.1%

소변검사 요비중
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
38
주의
 
18
경고
 
9

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row주의
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 38
 
0.9%
주의 18
 
0.4%
경고 9
 
0.2%

Length

2023-12-12T08:27:56.224349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:56.347189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 38
 
0.9%
주의 18
 
0.4%
경고 9
 
0.2%

소변검사요잠혈
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
46
주의
 
12
경고
 
7

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row경고
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 46
 
1.1%
주의 12
 
0.3%
경고 7
 
0.2%

Length

2023-12-12T08:27:56.478437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:56.584970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 46
 
1.1%
주의 12
 
0.3%
경고 7
 
0.2%

소변검사요산도
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
경고
 
35
정상
 
30

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row경고
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
경고 35
 
0.9%
정상 30
 
0.7%

Length

2023-12-12T08:27:56.708037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:56.816491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
경고 35
 
0.9%
정상 30
 
0.7%

소변검사 요단백
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
44
주의
 
15
경고
 
6

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row경고
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 44
 
1.1%
주의 15
 
0.4%
경고 6
 
0.1%

Length

2023-12-12T08:27:56.939726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:57.045925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 44
 
1.1%
주의 15
 
0.4%
경고 6
 
0.1%

소변검사 요아질산염
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
62
경고
 
3

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 62
 
1.5%
경고 3
 
0.1%

Length

2023-12-12T08:27:57.163090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:57.294111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 62
 
1.5%
경고 3
 
0.1%

소변검사 요백혈구
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
<NA>
4039 
정상
 
33
경고
 
32

Length

Max length4
Median length4
Mean length3.9683236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row정상
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4039
98.4%
정상 33
 
0.8%
경고 32
 
0.8%

Length

2023-12-12T08:27:57.422710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:27:57.537399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4039
98.4%
정상 33
 
0.8%
경고 32
 
0.8%

Sample

번호지역경로당명나이성별혈당혈당 판정범위혈당검사 식전/식후흡연유무음주유무운동유무조기발견자혈당 측정결과소변검사 유로비리노겐소변검사 요당소변검사 빌리루빈소변검사 케톤체소변검사 요비중소변검사요잠혈소변검사요산도소변검사 요단백소변검사 요아질산염소변검사 요백혈구
01하북면진목79남자무정상식후2시간미입력미입력미입력무111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12하북면진목77여자무정상식후2시간미입력미입력미입력무139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23하북면진목80여자무정상식후2시간미입력미입력미입력무128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34하북면진목78여자유당뇨병 전단계식후2시간미입력미입력미입력무158정상정상정상정상주의경고경고경고정상정상
45강서동창조아파트79여자무정상식후무무무무133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56양주동경남아너스빌70남자무정상식후2시간미입력미입력미입력무85<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67양주동경남아너스빌74남자무당뇨병 전단계식후무무무무182<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78강서동창조아파트79여자무당뇨병 전단계식후미입력미입력미입력무170<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89양주동경남아너스빌82남자무정상식후2시간미입력미입력미입력무132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910강서동창조아파트74여자유당뇨병 전단계식후2시간미입력미입력미입력유185<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호지역경로당명나이성별혈당혈당 판정범위혈당검사 식전/식후흡연유무음주유무운동유무조기발견자혈당 측정결과소변검사 유로비리노겐소변검사 요당소변검사 빌리루빈소변검사 케톤체소변검사 요비중소변검사요잠혈소변검사요산도소변검사 요단백소변검사 요아질산염소변검사 요백혈구
40944096중앙동북부주공(성북안)72여자무정상식후2시간미입력미입력미입력무102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40954097중앙동북부주공(성북안)73남자무정상식후2시간미입력미입력미입력무124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40964098중앙동북부주공(성북안)72남자유정상식후2시간미입력미입력미입력유83<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40974099중앙동북부주공(성북안)85여자무정상식후2시간미입력미입력미입력무131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40984100중앙동북부주공(성북안)80여자무정상식후미입력미입력미입력무94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40994101중앙동북부주공(성북안)65여자유당뇨병식후2시간미입력미입력미입력무237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41004102중앙동북부주공(성북안)66남자무정상식후2시간무무무무130<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41014103중앙동북부주공(성북안)67여자유정상식후2시간미입력미입력미입력무130<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41024104중앙동북부주공(성북안)67여자유정상식후2시간미입력미입력미입력무130<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41034105중앙동북부주공(성북안)87여자무당뇨병 전단계식후2시간미입력미입력미입력무152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>