Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory332.2 KiB
Average record size in memory34.0 B

Variable types

Numeric2
DateTime1
Categorical1

Dataset

Description보건소 모바일 헬스케어 사업에서 건강정보 중 혈당정보를 제공합니다. 입력순번, 측정일시, 혈당구분, 혈당값 정보를 제공합니다.
Author한국건강증진개발원
URLhttps://www.data.go.kr/data/15091609/fileData.do

Alerts

혈당값 is highly skewed (γ1 = 26.96814385)Skewed
입력순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:50:52.742326
Analysis finished2023-12-12 04:50:53.460128
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

입력순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50645654
Minimum30930662
Maximum52663376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-12T13:50:53.532001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30930662
5-th percentile48881128
Q149735495
median50613277
Q351564176
95-th percentile52413647
Maximum52663376
Range21732714
Interquartile range (IQR)1828681.2

Descriptive statistics

Standard deviation1135180.6
Coefficient of variation (CV)0.022414177
Kurtosis8.203312
Mean50645654
Median Absolute Deviation (MAD)899154
Skewness-0.52162896
Sum5.0645654 × 1011
Variance1.2886351 × 1012
MonotonicityNot monotonic
2023-12-12T13:50:53.687513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49824736 1
 
< 0.1%
49986193 1
 
< 0.1%
49984151 1
 
< 0.1%
49984442 1
 
< 0.1%
49984715 1
 
< 0.1%
49985201 1
 
< 0.1%
49985244 1
 
< 0.1%
49985363 1
 
< 0.1%
49985364 1
 
< 0.1%
49986222 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
30930662 1
< 0.1%
41790225 1
< 0.1%
48666747 1
< 0.1%
48666882 1
< 0.1%
48666911 1
< 0.1%
48667017 1
< 0.1%
48667080 1
< 0.1%
48667261 1
< 0.1%
48667298 1
< 0.1%
48667335 1
< 0.1%
ValueCountFrequency (%)
52663376 1
< 0.1%
52663102 1
< 0.1%
52663079 1
< 0.1%
52663030 1
< 0.1%
52663002 1
< 0.1%
52662974 1
< 0.1%
52662888 1
< 0.1%
52662716 1
< 0.1%
52661778 1
< 0.1%
52661774 1
< 0.1%
Distinct181
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
Minimum2022-01-01 00:00:00
Maximum2023-09-12 00:00:00
2023-12-12T13:50:53.848753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:54.009891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

혈당구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
공복혈당
8013 
식후혈당
1987 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공복혈당 8013
80.1%
식후혈당 1987
 
19.9%

Length

2023-12-12T13:50:54.172902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:50:54.279258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공복혈당 8013
80.1%
식후혈당 1987
 
19.9%

혈당값
Real number (ℝ)

SKEWED 

Distinct231
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.3674
Minimum2
Maximum2148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-12T13:50:54.410875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile88
Q1100
median109
Q3121
95-th percentile149
Maximum2148
Range2146
Interquartile range (IQR)21

Descriptive statistics

Standard deviation59.584649
Coefficient of variation (CV)0.5209933
Kurtosis853.69055
Mean114.3674
Median Absolute Deviation (MAD)11
Skewness26.968144
Sum1143674
Variance3550.3305
MonotonicityNot monotonic
2023-12-12T13:50:54.545494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 332
 
3.3%
98 318
 
3.2%
110 299
 
3.0%
108 290
 
2.9%
102 266
 
2.7%
99 264
 
2.6%
106 255
 
2.5%
112 251
 
2.5%
104 243
 
2.4%
105 242
 
2.4%
Other values (221) 7240
72.4%
ValueCountFrequency (%)
2 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
24 2
< 0.1%
25 1
< 0.1%
28 1
< 0.1%
31 1
< 0.1%
32 2
< 0.1%
34 1
< 0.1%
35 1
< 0.1%
ValueCountFrequency (%)
2148 1
< 0.1%
2049 1
< 0.1%
2046 1
< 0.1%
2031 1
< 0.1%
2017 1
< 0.1%
1996 1
< 0.1%
1971 1
< 0.1%
1942 1
< 0.1%
999 1
< 0.1%
458 1
< 0.1%

Interactions

2023-12-12T13:50:53.139512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:52.957714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:53.238133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:50:53.044571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:50:54.634041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입력순번혈당구분혈당값
입력순번1.0000.0100.000
혈당구분0.0101.0000.025
혈당값0.0000.0251.000
2023-12-12T13:50:54.738009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입력순번혈당값혈당구분
입력순번1.0000.0700.015
혈당값0.0701.0000.031
혈당구분0.0150.0311.000

Missing values

2023-12-12T13:50:53.347601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:50:53.427057image/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

입력순번측정일시혈당구분혈당값
0498247362023-09-12공복혈당184
1522677922022-11-10공복혈당91
2494567472022-10-16공복혈당106
3513847692022-09-22공복혈당98
4514522252022-08-12공복혈당112
5524369342022-07-29공복혈당102
6309306622022-07-05공복혈당98
7526106022022-07-02공복혈당156
8525610342022-06-29식후혈당161
9523613552022-06-28공복혈당122
입력순번측정일시혈당구분혈당값
9990486683632022-01-01공복혈당123
9991486672612022-01-01공복혈당102
9992486676842022-01-01공복혈당103
9993486680212022-01-01공복혈당125
9994486682872022-01-01식후혈당128
9995486684902022-01-01공복혈당95
9996486702272022-01-01공복혈당109
9997486673882022-01-01공복혈당167
9998486670802022-01-01공복혈당100
9999486684502022-01-01공복혈당104