Overview

Dataset statistics

Number of variables51
Number of observations100
Missing cells1787
Missing cells (%)35.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.2 KiB
Average record size in memory452.3 B

Variable types

Text2
Numeric32
Categorical13
Unsupported4

Alerts

mesure_iem_021_value is highly imbalanced (84.4%)Imbalance
mesure_iem_031_value is highly imbalanced (87.9%)Imbalance
mesure_iem_032_value is highly imbalanced (87.9%)Imbalance
mesure_iem_033_value is highly imbalanced (87.9%)Imbalance
mesure_iem_034_value is highly imbalanced (91.9%)Imbalance
mesure_iem_035_value is highly imbalanced (87.9%)Imbalance
mesure_iem_041_value is highly imbalanced (87.9%)Imbalance
mesure_iem_003_value has 6 (6.0%) missing valuesMissing
mesure_iem_004_value has 26 (26.0%) missing valuesMissing
mesure_iem_009_value has 91 (91.0%) missing valuesMissing
mesure_iem_010_value has 93 (93.0%) missing valuesMissing
mesure_iem_013_value has 90 (90.0%) missing valuesMissing
mesure_iem_014_value has 90 (90.0%) missing valuesMissing
mesure_iem_015_value has 90 (90.0%) missing valuesMissing
mesure_iem_016_value has 90 (90.0%) missing valuesMissing
mesure_iem_017_value has 90 (90.0%) missing valuesMissing
mesure_iem_019_value has 37 (37.0%) missing valuesMissing
mesure_iem_020_value has 82 (82.0%) missing valuesMissing
mesure_iem_022_value has 29 (29.0%) missing valuesMissing
mesure_iem_023_value has 90 (90.0%) missing valuesMissing
mesure_iem_024_value has 100 (100.0%) missing valuesMissing
mesure_iem_025_value has 90 (90.0%) missing valuesMissing
mesure_iem_026_value has 90 (90.0%) missing valuesMissing
mesure_iem_027_value has 90 (90.0%) missing valuesMissing
mesure_iem_029_value has 100 (100.0%) missing valuesMissing
mesure_iem_030_value has 88 (88.0%) missing valuesMissing
mesure_iem_036_value has 41 (41.0%) missing valuesMissing
mesure_iem_037_value has 41 (41.0%) missing valuesMissing
mesure_iem_038_value has 100 (100.0%) missing valuesMissing
mesure_iem_039_value has 100 (100.0%) missing valuesMissing
mesure_iem_040_value has 43 (43.0%) missing valuesMissing
mber_seq_no_value has unique valuesUnique
mesure_iem_024_value is an unsupported type, check if it needs cleaning or further analysisUnsupported
mesure_iem_029_value is an unsupported type, check if it needs cleaning or further analysisUnsupported
mesure_iem_038_value is an unsupported type, check if it needs cleaning or further analysisUnsupported
mesure_iem_039_value is an unsupported type, check if it needs cleaning or further analysisUnsupported
mesure_iem_012_value has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:12:14.562408
Analysis finished2023-12-10 10:12:15.372844
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

mber_seq_no_value
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:12:15.631567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters2400
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowAAHYQpAm3NciBTcAeB7kFCw0
2nd rowAAEPrnblhqglrK1nLygv8fPS
3rd rowAAGocP4Vt9YA4IbSX/6kXoc5
4th rowAAERw6S6FxZV9GxZhsPQ278z
5th rowAAFIWu3pg0v6G9+6M8SpAKxC
ValueCountFrequency (%)
aahyqpam3ncibtcaeb7kfcw0 1
 
1.0%
aaelrs0ulmtxvg38p1gjig1t 1
 
1.0%
aaexs+ydqe4bdkmumeytzpci 1
 
1.0%
aagpljm328scw336nwbauvuz 1
 
1.0%
aae7trco8lc++jkhf2mvudpw 1
 
1.0%
aahh4xqnwzw3wx3lqslqxsmp 1
 
1.0%
aahffvtddljfo/2+1+a6h4dj 1
 
1.0%
aaeteufcm5mhz2plfalw/bu0 1
 
1.0%
aaezckkapfuwhc4efbcaayqp 1
 
1.0%
aafgowrprpev4j20bwsj9vuj 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:12:16.287827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 232
 
9.7%
G 62
 
2.6%
F 60
 
2.5%
H 55
 
2.3%
P 53
 
2.2%
E 50
 
2.1%
1 44
 
1.8%
5 43
 
1.8%
W 42
 
1.8%
v 42
 
1.8%
Other values (54) 1717
71.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1164
48.5%
Lowercase Letter 820
34.2%
Decimal Number 347
 
14.5%
Math Symbol 35
 
1.5%
Other Punctuation 34
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 232
19.9%
G 62
 
5.3%
F 60
 
5.2%
H 55
 
4.7%
P 53
 
4.6%
E 50
 
4.3%
W 42
 
3.6%
S 42
 
3.6%
J 40
 
3.4%
L 40
 
3.4%
Other values (16) 488
41.9%
Lowercase Letter
ValueCountFrequency (%)
v 42
 
5.1%
c 40
 
4.9%
b 36
 
4.4%
q 35
 
4.3%
m 35
 
4.3%
n 34
 
4.1%
i 34
 
4.1%
x 34
 
4.1%
k 34
 
4.1%
o 33
 
4.0%
Other values (16) 463
56.5%
Decimal Number
ValueCountFrequency (%)
1 44
12.7%
5 43
12.4%
3 40
11.5%
8 35
10.1%
6 35
10.1%
7 31
8.9%
4 30
8.6%
9 30
8.6%
2 30
8.6%
0 29
8.4%
Math Symbol
ValueCountFrequency (%)
+ 35
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1984
82.7%
Common 416
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 232
 
11.7%
G 62
 
3.1%
F 60
 
3.0%
H 55
 
2.8%
P 53
 
2.7%
E 50
 
2.5%
W 42
 
2.1%
v 42
 
2.1%
S 42
 
2.1%
J 40
 
2.0%
Other values (42) 1306
65.8%
Common
ValueCountFrequency (%)
1 44
10.6%
5 43
10.3%
3 40
9.6%
8 35
8.4%
6 35
8.4%
+ 35
8.4%
/ 34
8.2%
7 31
7.5%
4 30
7.2%
9 30
7.2%
Other values (2) 59
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 232
 
9.7%
G 62
 
2.6%
F 60
 
2.5%
H 55
 
2.3%
P 53
 
2.2%
E 50
 
2.1%
1 44
 
1.8%
5 43
 
1.8%
W 42
 
1.8%
v 42
 
1.8%
Other values (54) 1717
71.5%

mesure_seq_no
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:16.537004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7.05
Maximum14
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4178419
Coefficient of variation (CV)1.0745964
Kurtosis9.4306429
Mean2.25
Median Absolute Deviation (MAD)0
Skewness2.9601532
Sum225
Variance5.8459596
MonotonicityNot monotonic
2023-12-10T19:12:16.755183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 55
55.0%
2 26
26.0%
4 7
 
7.0%
5 2
 
2.0%
6 2
 
2.0%
3 2
 
2.0%
7 1
 
1.0%
12 1
 
1.0%
14 1
 
1.0%
11 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
1 55
55.0%
2 26
26.0%
3 2
 
2.0%
4 7
 
7.0%
5 2
 
2.0%
6 2
 
2.0%
7 1
 
1.0%
8 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
14 1
 
1.0%
12 1
 
1.0%
11 1
 
1.0%
10 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 2
 
2.0%
5 2
 
2.0%
4 7
7.0%
3 2
 
2.0%

cnter_nm
Categorical

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
수원
10 
곡성
10 
KSPO송파(출장A)
9 
달서
9 
스포원(금정)
6 
Other values (30)
56 

Length

Max length11
Median length2
Mean length4.26
Min length2

Unique

Unique13 ?
Unique (%)13.0%

Sample

1st rowKSPO송파(출장A)
2nd row순천
3rd rowKSPO송파(출장A)
4th row수원
5th row스포원(금정)

Common Values

ValueCountFrequency (%)
수원 10
 
10.0%
곡성 10
 
10.0%
KSPO송파(출장A) 9
 
9.0%
달서 9
 
9.0%
스포원(금정) 6
 
6.0%
의정부 4
 
4.0%
KSPO송파(출장B) 4
 
4.0%
안동 3
 
3.0%
강릉 3
 
3.0%
양평 3
 
3.0%
Other values (25) 39
39.0%

Length

2023-12-10T19:12:16.973923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원 10
 
10.0%
곡성 10
 
10.0%
kspo송파(출장a 9
 
9.0%
달서 9
 
9.0%
스포원(금정 6
 
6.0%
의정부 4
 
4.0%
kspo송파(출장b 4
 
4.0%
안동 3
 
3.0%
강릉 3
 
3.0%
양평 3
 
3.0%
Other values (25) 39
39.0%

agrde_flag_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
성인
64 
노인
20 
청소년
10 
유소년
 
6

Length

Max length3
Median length2
Mean length2.16
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성인
2nd row성인
3rd row성인
4th row성인
5th row유소년

Common Values

ValueCountFrequency (%)
성인 64
64.0%
노인 20
 
20.0%
청소년 10
 
10.0%
유소년 6
 
6.0%

Length

2023-12-10T19:12:17.202159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:17.388344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 64
64.0%
노인 20
 
20.0%
청소년 10
 
10.0%
유소년 6
 
6.0%

mesure_place_flag_nm
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일반
52 
출장
48 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row출장
2nd row일반
3rd row출장
4th row출장
5th row출장

Common Values

ValueCountFrequency (%)
일반 52
52.0%
출장 48
48.0%

Length

2023-12-10T19:12:17.660852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:17.870840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 52
52.0%
출장 48
48.0%

mesure_age_co
Real number (ℝ)

Distinct52
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.72
Minimum11
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:18.121342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q120
median33
Q358
95-th percentile77.05
Maximum86
Range75
Interquartile range (IQR)38

Descriptive statistics

Standard deviation22.127308
Coefficient of variation (CV)0.55708229
Kurtosis-1.133233
Mean39.72
Median Absolute Deviation (MAD)15
Skewness0.47599976
Sum3972
Variance489.61778
MonotonicityNot monotonic
2023-12-10T19:12:18.388049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 7
 
7.0%
26 4
 
4.0%
11 4
 
4.0%
46 4
 
4.0%
15 3
 
3.0%
25 3
 
3.0%
21 3
 
3.0%
28 3
 
3.0%
20 3
 
3.0%
24 3
 
3.0%
Other values (42) 63
63.0%
ValueCountFrequency (%)
11 4
4.0%
12 2
 
2.0%
14 2
 
2.0%
15 3
3.0%
16 1
 
1.0%
17 2
 
2.0%
18 2
 
2.0%
19 7
7.0%
20 3
3.0%
21 3
3.0%
ValueCountFrequency (%)
86 1
1.0%
85 1
1.0%
82 1
1.0%
79 1
1.0%
78 1
1.0%
77 2
2.0%
74 2
2.0%
73 2
2.0%
72 1
1.0%
70 1
1.0%

inpt_flag_nm
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
관리자
81 
측정기기
10 
인바디
9 

Length

Max length4
Median length3
Mean length3.1
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관리자 81
81.0%
측정기기 10
 
10.0%
인바디 9
 
9.0%

Length

2023-12-10T19:12:19.045762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:19.231045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관리자 81
81.0%
측정기기 10
 
10.0%
인바디 9
 
9.0%

crtfc_flag_nm
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
참가증
54 
3등급
20 
2등급
18 
1등급
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3등급
2nd row3등급
3rd row2등급
4th row참가증
5th row참가증

Common Values

ValueCountFrequency (%)
참가증 54
54.0%
3등급 20
 
20.0%
2등급 18
 
18.0%
1등급 8
 
8.0%

Length

2023-12-10T19:12:19.434130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:19.616989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참가증 54
54.0%
3등급 20
 
20.0%
2등급 18
 
18.0%
1등급 8
 
8.0%

mesure_de
Real number (ℝ)

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211113
Minimum20211101
Maximum20211129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:19.849350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20211101
5-th percentile20211102
Q120211110
median20211113
Q320211119
95-th percentile20211124
Maximum20211129
Range28
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.5634048
Coefficient of variation (CV)3.2474237 × 10-7
Kurtosis-0.43978986
Mean20211113
Median Absolute Deviation (MAD)5
Skewness-0.19733277
Sum2.0211113 × 109
Variance43.078283
MonotonicityNot monotonic
2023-12-10T19:12:20.054550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20211119 20
20.0%
20211112 18
18.0%
20211118 10
10.0%
20211102 8
 
8.0%
20211110 8
 
8.0%
20211114 7
 
7.0%
20211108 5
 
5.0%
20211101 4
 
4.0%
20211116 3
 
3.0%
20211126 3
 
3.0%
Other values (9) 14
14.0%
ValueCountFrequency (%)
20211101 4
 
4.0%
20211102 8
8.0%
20211103 1
 
1.0%
20211104 2
 
2.0%
20211105 2
 
2.0%
20211108 5
 
5.0%
20211109 1
 
1.0%
20211110 8
8.0%
20211111 1
 
1.0%
20211112 18
18.0%
ValueCountFrequency (%)
20211129 1
 
1.0%
20211126 3
 
3.0%
20211124 2
 
2.0%
20211122 1
 
1.0%
20211119 20
20.0%
20211118 10
10.0%
20211116 3
 
3.0%
20211115 3
 
3.0%
20211114 7
 
7.0%
20211112 18
18.0%

sexdstn_flag_cd
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
M
59 
F
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowF
5th rowF

Common Values

ValueCountFrequency (%)
M 59
59.0%
F 41
41.0%

Length

2023-12-10T19:12:20.291579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:20.470651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 59
59.0%
f 41
41.0%

mesure_iem_001_value
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.628
Minimum145
Maximum189.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:20.710998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile149.885
Q1161
median165
Q3173.15
95-th percentile182.72
Maximum189.1
Range44.1
Interquartile range (IQR)12.15

Descriptive statistics

Standard deviation9.3885066
Coefficient of variation (CV)0.056344112
Kurtosis-0.2096909
Mean166.628
Median Absolute Deviation (MAD)5.55
Skewness-0.003225489
Sum16662.8
Variance88.144057
MonotonicityNot monotonic
2023-12-10T19:12:21.314766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.0 3
 
3.0%
175.2 2
 
2.0%
161.0 2
 
2.0%
168.0 2
 
2.0%
162.5 2
 
2.0%
164.9 2
 
2.0%
164.3 2
 
2.0%
173.9 2
 
2.0%
170.3 2
 
2.0%
168.4 2
 
2.0%
Other values (76) 79
79.0%
ValueCountFrequency (%)
145.0 1
1.0%
145.2 1
1.0%
148.3 1
1.0%
149.1 1
1.0%
149.6 1
1.0%
149.9 1
1.0%
150.2 1
1.0%
151.9 1
1.0%
152.1 1
1.0%
152.9 1
1.0%
ValueCountFrequency (%)
189.1 1
1.0%
184.4 1
1.0%
183.6 1
1.0%
183.5 1
1.0%
183.1 1
1.0%
182.7 1
1.0%
182.3 1
1.0%
182.2 1
1.0%
181.5 1
1.0%
181.2 1
1.0%

mesure_iem_002_value
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.4118
Minimum38.8
Maximum100.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:21.578809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.8
5-th percentile47.725
Q156.8
median65.35
Q376
95-th percentile89.035
Maximum100.2
Range61.4
Interquartile range (IQR)19.2

Descriptive statistics

Standard deviation13.680759
Coefficient of variation (CV)0.20599892
Kurtosis-0.4027047
Mean66.4118
Median Absolute Deviation (MAD)9.65
Skewness0.36713946
Sum6641.18
Variance187.16317
MonotonicityNot monotonic
2023-12-10T19:12:21.868051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.9 2
 
2.0%
59.0 2
 
2.0%
48.8 2
 
2.0%
56.8 2
 
2.0%
84.9 2
 
2.0%
65.9 2
 
2.0%
54.8 2
 
2.0%
54.1 2
 
2.0%
59.9 1
 
1.0%
65.7 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
38.8 1
1.0%
39.0 1
1.0%
44.5 1
1.0%
45.1 1
1.0%
46.3 1
1.0%
47.8 1
1.0%
48.4 1
1.0%
48.8 2
2.0%
49.0 1
1.0%
49.3 1
1.0%
ValueCountFrequency (%)
100.2 1
1.0%
99.8 1
1.0%
94.4 1
1.0%
92.4 1
1.0%
91.6 1
1.0%
88.9 2
2.0%
88.0 1
1.0%
87.9 1
1.0%
87.8 1
1.0%
85.2 1
1.0%

mesure_iem_003_value
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)85.1%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean27.154255
Minimum10.9
Maximum51.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:22.136772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.9
5-th percentile14.96
Q120.075
median25.9
Q333.175
95-th percentile44.145
Maximum51.5
Range40.6
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation8.834727
Coefficient of variation (CV)0.32535332
Kurtosis-0.018173665
Mean27.154255
Median Absolute Deviation (MAD)6.25
Skewness0.56146014
Sum2552.5
Variance78.052401
MonotonicityNot monotonic
2023-12-10T19:12:22.522020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.6 3
 
3.0%
31.8 3
 
3.0%
34.2 2
 
2.0%
25.6 2
 
2.0%
16.9 2
 
2.0%
36.9 2
 
2.0%
34.0 2
 
2.0%
25.1 2
 
2.0%
16.0 2
 
2.0%
21.3 2
 
2.0%
Other values (70) 72
72.0%
(Missing) 6
 
6.0%
ValueCountFrequency (%)
10.9 1
1.0%
13.3 1
1.0%
14.0 1
1.0%
14.1 1
1.0%
14.7 1
1.0%
15.1 1
1.0%
15.4 1
1.0%
16.0 2
2.0%
16.4 1
1.0%
16.9 2
2.0%
ValueCountFrequency (%)
51.5 1
1.0%
50.4 1
1.0%
46.9 1
1.0%
45.7 1
1.0%
44.6 1
1.0%
43.9 1
1.0%
42.2 1
1.0%
40.7 1
1.0%
39.6 1
1.0%
37.6 1
1.0%

mesure_iem_004_value
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)81.1%
Missing26
Missing (%)26.0%
Infinite0
Infinite (%)0.0%
Mean81.414865
Minimum58.3
Maximum106.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:22.847250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.3
5-th percentile65.65
Q174
median79.4
Q387
95-th percentile102.01
Maximum106.5
Range48.2
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.146566
Coefficient of variation (CV)0.1369107
Kurtosis-0.37647691
Mean81.414865
Median Absolute Deviation (MAD)6.75
Skewness0.48188954
Sum6024.7
Variance124.24594
MonotonicityNot monotonic
2023-12-10T19:12:23.186539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.0 3
 
3.0%
64.0 2
 
2.0%
100.8 2
 
2.0%
71.0 2
 
2.0%
72.0 2
 
2.0%
70.0 2
 
2.0%
68.0 2
 
2.0%
92.0 2
 
2.0%
87.0 2
 
2.0%
82.0 2
 
2.0%
Other values (50) 53
53.0%
(Missing) 26
26.0%
ValueCountFrequency (%)
58.3 1
1.0%
64.0 2
2.0%
65.0 1
1.0%
66.0 1
1.0%
68.0 2
2.0%
68.5 1
1.0%
69.0 1
1.0%
69.7 1
1.0%
70.0 2
2.0%
71.0 2
2.0%
ValueCountFrequency (%)
106.5 1
1.0%
104.6 1
1.0%
103.8 1
1.0%
102.4 1
1.0%
101.8 1
1.0%
101.0 1
1.0%
100.8 2
2.0%
97.6 1
1.0%
97.4 1
1.0%
96.5 1
1.0%

mesure_iem_005_value
Real number (ℝ)

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.39
Minimum53
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:23.444843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile60
Q172
median80
Q386
95-th percentile96.05
Maximum99
Range46
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.523562
Coefficient of variation (CV)0.13424623
Kurtosis-0.26542576
Mean78.39
Median Absolute Deviation (MAD)7
Skewness-0.18893129
Sum7839
Variance110.74535
MonotonicityNot monotonic
2023-12-10T19:12:23.711420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
80 11
 
11.0%
81 9
 
9.0%
87 6
 
6.0%
76 6
 
6.0%
72 5
 
5.0%
84 4
 
4.0%
78 4
 
4.0%
74 4
 
4.0%
92 4
 
4.0%
71 4
 
4.0%
Other values (25) 43
43.0%
ValueCountFrequency (%)
53 2
2.0%
56 1
 
1.0%
58 1
 
1.0%
60 2
2.0%
63 3
3.0%
64 2
2.0%
65 3
3.0%
66 2
2.0%
68 2
2.0%
69 1
 
1.0%
ValueCountFrequency (%)
99 1
 
1.0%
98 2
2.0%
97 2
2.0%
96 2
2.0%
93 3
3.0%
92 4
4.0%
91 1
 
1.0%
90 1
 
1.0%
89 1
 
1.0%
88 1
 
1.0%

mesure_iem_006_value
Real number (ℝ)

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.09
Minimum89
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:23.987203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89
5-th percentile101.85
Q1120
median132
Q3141
95-th percentile156.05
Maximum158
Range69
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.01205
Coefficient of variation (CV)0.12308441
Kurtosis-0.22813113
Mean130.09
Median Absolute Deviation (MAD)12
Skewness-0.30283339
Sum13009
Variance256.38576
MonotonicityNot monotonic
2023-12-10T19:12:24.271268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
120 12
 
12.0%
139 7
 
7.0%
141 4
 
4.0%
137 3
 
3.0%
140 3
 
3.0%
158 3
 
3.0%
143 3
 
3.0%
133 3
 
3.0%
123 3
 
3.0%
112 3
 
3.0%
Other values (39) 56
56.0%
ValueCountFrequency (%)
89 1
1.0%
91 1
1.0%
92 1
1.0%
97 1
1.0%
99 1
1.0%
102 1
1.0%
106 1
1.0%
109 1
1.0%
110 1
1.0%
111 2
2.0%
ValueCountFrequency (%)
158 3
3.0%
157 2
2.0%
156 2
2.0%
154 2
2.0%
152 2
2.0%
151 1
 
1.0%
150 1
 
1.0%
148 1
 
1.0%
147 1
 
1.0%
146 1
 
1.0%

mesure_iem_007_value
Real number (ℝ)

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.831
Minimum6.7
Maximum62.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:24.597974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile15.695
Q123.1
median29.9
Q343.125
95-th percentile54.16
Maximum62.6
Range55.9
Interquartile range (IQR)20.025

Descriptive statistics

Standard deviation12.777211
Coefficient of variation (CV)0.38918128
Kurtosis-0.88635763
Mean32.831
Median Absolute Deviation (MAD)10.05
Skewness0.28871039
Sum3283.1
Variance163.25711
MonotonicityNot monotonic
2023-12-10T19:12:24.916200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.6 2
 
2.0%
21.5 2
 
2.0%
42.2 2
 
2.0%
25.3 2
 
2.0%
40.0 2
 
2.0%
25.6 2
 
2.0%
24.1 2
 
2.0%
23.1 2
 
2.0%
44.8 2
 
2.0%
18.9 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
6.7 1
1.0%
11.6 1
1.0%
11.7 1
1.0%
12.7 1
1.0%
13.7 1
1.0%
15.8 1
1.0%
16.4 1
1.0%
17.3 1
1.0%
17.7 1
1.0%
18.0 1
1.0%
ValueCountFrequency (%)
62.6 1
1.0%
57.6 1
1.0%
56.5 1
1.0%
56.0 1
1.0%
55.3 1
1.0%
54.1 1
1.0%
52.1 1
1.0%
51.6 1
1.0%
51.4 1
1.0%
51.3 1
1.0%

mesure_iem_008_value
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.026
Minimum7.8
Maximum68.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:25.222297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile18.155
Q124.075
median32.5
Q345.975
95-th percentile56.105
Maximum68.6
Range60.8
Interquartile range (IQR)21.9

Descriptive statistics

Standard deviation12.983841
Coefficient of variation (CV)0.37069151
Kurtosis-0.75942295
Mean35.026
Median Absolute Deviation (MAD)10.4
Skewness0.31447362
Sum3502.6
Variance168.58013
MonotonicityNot monotonic
2023-12-10T19:12:25.522684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.4 2
 
2.0%
23.0 2
 
2.0%
30.4 2
 
2.0%
28.8 2
 
2.0%
27.8 2
 
2.0%
25.6 2
 
2.0%
33.1 2
 
2.0%
41.2 2
 
2.0%
20.1 1
 
1.0%
31.4 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
7.8 1
1.0%
13.3 1
1.0%
14.9 1
1.0%
15.1 1
1.0%
15.4 1
1.0%
18.3 1
1.0%
19.0 1
1.0%
20.1 1
1.0%
20.2 1
1.0%
20.3 1
1.0%
ValueCountFrequency (%)
68.6 1
1.0%
60.8 1
1.0%
60.6 1
1.0%
59.3 1
1.0%
56.2 1
1.0%
56.1 1
1.0%
54.9 1
1.0%
54.7 1
1.0%
53.8 1
1.0%
53.7 1
1.0%

mesure_iem_009_value
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing91
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean22.555556
Minimum6
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:25.749981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.8
Q112
median25
Q332
95-th percentile39.4
Maximum41
Range35
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.83658
Coefficient of variation (CV)0.56910944
Kurtosis-1.5790077
Mean22.555556
Median Absolute Deviation (MAD)12
Skewness0.076317083
Sum203
Variance164.77778
MonotonicityNot monotonic
2023-12-10T19:12:25.952857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 1
 
1.0%
12 1
 
1.0%
8 1
 
1.0%
32 1
 
1.0%
37 1
 
1.0%
25 1
 
1.0%
41 1
 
1.0%
27 1
 
1.0%
15 1
 
1.0%
(Missing) 91
91.0%
ValueCountFrequency (%)
6 1
1.0%
8 1
1.0%
12 1
1.0%
15 1
1.0%
25 1
1.0%
27 1
1.0%
32 1
1.0%
37 1
1.0%
41 1
1.0%
ValueCountFrequency (%)
41 1
1.0%
37 1
1.0%
32 1
1.0%
27 1
1.0%
25 1
1.0%
15 1
1.0%
12 1
1.0%
8 1
1.0%
6 1
1.0%

mesure_iem_010_value
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing93
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum39
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:26.170701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile39.3
Q140.5
median46
Q350.5
95-th percentile53.8
Maximum55
Range16
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2182527
Coefficient of variation (CV)0.13517941
Kurtosis-1.7281213
Mean46
Median Absolute Deviation (MAD)5
Skewness0.22708453
Sum322
Variance38.666667
MonotonicityNot monotonic
2023-12-10T19:12:26.385619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
46 1
 
1.0%
40 1
 
1.0%
41 1
 
1.0%
50 1
 
1.0%
39 1
 
1.0%
51 1
 
1.0%
55 1
 
1.0%
(Missing) 93
93.0%
ValueCountFrequency (%)
39 1
1.0%
40 1
1.0%
41 1
1.0%
46 1
1.0%
50 1
1.0%
51 1
1.0%
55 1
1.0%
ValueCountFrequency (%)
55 1
1.0%
51 1
1.0%
50 1
1.0%
46 1
1.0%
41 1
1.0%
40 1
1.0%
39 1
1.0%

mesure_iem_012_value
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.946
Minimum-15.2
Maximum28.1
Zeros2
Zeros (%)2.0%
Negative8
Negative (%)8.0%
Memory size1.0 KiB
2023-12-10T19:12:26.659262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-15.2
5-th percentile-5.525
Q13.575
median11.8
Q317.425
95-th percentile23.99
Maximum28.1
Range43.3
Interquartile range (IQR)13.85

Descriptive statistics

Standard deviation8.7760167
Coefficient of variation (CV)0.80175559
Kurtosis0.11179036
Mean10.946
Median Absolute Deviation (MAD)6.4
Skewness-0.4441809
Sum1094.6
Variance77.018469
MonotonicityNot monotonic
2023-12-10T19:12:26.943432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 3
 
3.0%
2.5 2
 
2.0%
15.7 2
 
2.0%
1.2 2
 
2.0%
12.5 2
 
2.0%
3.4 2
 
2.0%
-10.0 2
 
2.0%
13.8 2
 
2.0%
11.8 2
 
2.0%
14.0 2
 
2.0%
Other values (75) 79
79.0%
ValueCountFrequency (%)
-15.2 1
1.0%
-10.0 2
2.0%
-7.0 1
1.0%
-6.0 1
1.0%
-5.5 1
1.0%
-1.0 1
1.0%
-0.1 1
1.0%
0.0 2
2.0%
1.2 2
2.0%
1.4 1
1.0%
ValueCountFrequency (%)
28.1 1
1.0%
27.4 1
1.0%
27.0 1
1.0%
26.2 1
1.0%
25.7 1
1.0%
23.9 1
1.0%
23.4 1
1.0%
23.2 1
1.0%
21.6 1
1.0%
21.2 1
1.0%

mesure_iem_013_value
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean20.969
Minimum17.81
Maximum26.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:27.154182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.81
5-th percentile17.9405
Q119.255
median20.735
Q321.8875
95-th percentile25.074
Maximum26.55
Range8.74
Interquartile range (IQR)2.6325

Descriptive statistics

Standard deviation2.6063361
Coefficient of variation (CV)0.12429472
Kurtosis1.2512406
Mean20.969
Median Absolute Deviation (MAD)1.48
Skewness0.97013063
Sum209.69
Variance6.7929878
MonotonicityNot monotonic
2023-12-10T19:12:27.336246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20.5 1
 
1.0%
23.27 1
 
1.0%
20.97 1
 
1.0%
22.0 1
 
1.0%
21.55 1
 
1.0%
17.81 1
 
1.0%
19.9 1
 
1.0%
26.55 1
 
1.0%
18.1 1
 
1.0%
19.04 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
17.81 1
1.0%
18.1 1
1.0%
19.04 1
1.0%
19.9 1
1.0%
20.5 1
1.0%
20.97 1
1.0%
21.55 1
1.0%
22.0 1
1.0%
23.27 1
1.0%
26.55 1
1.0%
ValueCountFrequency (%)
26.55 1
1.0%
23.27 1
1.0%
22.0 1
1.0%
21.55 1
1.0%
20.97 1
1.0%
20.5 1
1.0%
19.9 1
1.0%
19.04 1
1.0%
18.1 1
1.0%
17.81 1
1.0%

mesure_iem_014_value
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean0.5002
Minimum0.33
Maximum0.612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:27.540280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile0.3399
Q10.447
median0.539
Q30.564
95-th percentile0.6039
Maximum0.612
Range0.282
Interquartile range (IQR)0.117

Descriptive statistics

Standard deviation0.099095689
Coefficient of variation (CV)0.19811213
Kurtosis-0.69499484
Mean0.5002
Median Absolute Deviation (MAD)0.063
Skewness-0.790503
Sum5.002
Variance0.0098199556
MonotonicityNot monotonic
2023-12-10T19:12:27.740263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.564 2
 
2.0%
0.468 1
 
1.0%
0.526 1
 
1.0%
0.552 1
 
1.0%
0.33 1
 
1.0%
0.594 1
 
1.0%
0.44 1
 
1.0%
0.352 1
 
1.0%
0.612 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
0.33 1
1.0%
0.352 1
1.0%
0.44 1
1.0%
0.468 1
1.0%
0.526 1
1.0%
0.552 1
1.0%
0.564 2
2.0%
0.594 1
1.0%
0.612 1
1.0%
ValueCountFrequency (%)
0.612 1
1.0%
0.594 1
1.0%
0.564 2
2.0%
0.552 1
1.0%
0.526 1
1.0%
0.468 1
1.0%
0.44 1
1.0%
0.352 1
1.0%
0.33 1
1.0%

mesure_iem_015_value
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean51.2
Minimum38.368
Maximum86.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:27.960796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.368
5-th percentile40.63465
Q144.457
median46.9335
Q351.679
95-th percentile74.2347
Maximum86.265
Range47.897
Interquartile range (IQR)7.222

Descriptive statistics

Standard deviation13.568384
Coefficient of variation (CV)0.2650075
Kurtosis5.6548839
Mean51.2
Median Absolute Deviation (MAD)3.068
Skewness2.2437397
Sum512
Variance184.10104
MonotonicityNot monotonic
2023-12-10T19:12:28.172831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
48.724 1
 
1.0%
44.326 1
 
1.0%
52.664 1
 
1.0%
47.303 1
 
1.0%
59.531 1
 
1.0%
44.85 1
 
1.0%
43.405 1
 
1.0%
86.265 1
 
1.0%
46.564 1
 
1.0%
38.368 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
38.368 1
1.0%
43.405 1
1.0%
44.326 1
1.0%
44.85 1
1.0%
46.564 1
1.0%
47.303 1
1.0%
48.724 1
1.0%
52.664 1
1.0%
59.531 1
1.0%
86.265 1
1.0%
ValueCountFrequency (%)
86.265 1
1.0%
59.531 1
1.0%
52.664 1
1.0%
48.724 1
1.0%
47.303 1
1.0%
46.564 1
1.0%
44.85 1
1.0%
44.326 1
1.0%
43.405 1
1.0%
38.368 1
1.0%

mesure_iem_016_value
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)80.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean10.2
Minimum6
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:28.532556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.45
Q18.25
median10.5
Q312.75
95-th percentile13
Maximum13
Range7
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.6161889
Coefficient of variation (CV)0.25648911
Kurtosis-1.372333
Mean10.2
Median Absolute Deviation (MAD)2.5
Skewness-0.36486106
Sum102
Variance6.8444444
MonotonicityNot monotonic
2023-12-10T19:12:28.756412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 3
 
3.0%
7 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
8 1
 
1.0%
10 1
 
1.0%
9 1
 
1.0%
6 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
13 3
3.0%
ValueCountFrequency (%)
13 3
3.0%
12 1
 
1.0%
11 1
 
1.0%
10 1
 
1.0%
9 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%

mesure_iem_017_value
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean51.6692
Minimum38.966
Maximum86.679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:28.972940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.966
5-th percentile41.23265
Q144.8135
median47.3475
Q352.208
95-th percentile74.628
Maximum86.679
Range47.713
Interquartile range (IQR)7.3945

Descriptive statistics

Standard deviation13.535654
Coefficient of variation (CV)0.26196755
Kurtosis5.6818476
Mean51.6692
Median Absolute Deviation (MAD)3.022
Skewness2.2506881
Sum516.692
Variance183.21393
MonotonicityNot monotonic
2023-12-10T19:12:29.164256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
49.322 1
 
1.0%
44.648 1
 
1.0%
53.17 1
 
1.0%
47.855 1
 
1.0%
59.899 1
 
1.0%
45.31 1
 
1.0%
44.003 1
 
1.0%
86.679 1
 
1.0%
46.84 1
 
1.0%
38.966 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
38.966 1
1.0%
44.003 1
1.0%
44.648 1
1.0%
45.31 1
1.0%
46.84 1
1.0%
47.855 1
1.0%
49.322 1
1.0%
53.17 1
1.0%
59.899 1
1.0%
86.679 1
1.0%
ValueCountFrequency (%)
86.679 1
1.0%
59.899 1
1.0%
53.17 1
1.0%
49.322 1
1.0%
47.855 1
1.0%
46.84 1
1.0%
45.31 1
1.0%
44.648 1
1.0%
44.003 1
1.0%
38.966 1
1.0%

mesure_iem_018_value
Real number (ℝ)

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.729
Minimum16.3
Maximum35.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:29.823313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.3
5-th percentile18.5
Q121.5
median23.3
Q325.9
95-th percentile29.005
Maximum35.3
Range19
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation3.3772649
Coefficient of variation (CV)0.14232647
Kurtosis0.4096745
Mean23.729
Median Absolute Deviation (MAD)2.2
Skewness0.42510374
Sum2372.9
Variance11.405918
MonotonicityNot monotonic
2023-12-10T19:12:30.088599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.0 4
 
4.0%
22.0 4
 
4.0%
22.9 3
 
3.0%
21.2 3
 
3.0%
18.5 3
 
3.0%
20.8 2
 
2.0%
29.0 2
 
2.0%
24.5 2
 
2.0%
23.3 2
 
2.0%
21.8 2
 
2.0%
Other values (59) 73
73.0%
ValueCountFrequency (%)
16.3 1
 
1.0%
17.6 1
 
1.0%
18.0 1
 
1.0%
18.3 1
 
1.0%
18.5 3
3.0%
18.9 2
2.0%
19.1 1
 
1.0%
19.4 1
 
1.0%
19.5 1
 
1.0%
20.0 1
 
1.0%
ValueCountFrequency (%)
35.3 1
1.0%
31.6 1
1.0%
29.5 1
1.0%
29.2 1
1.0%
29.1 1
1.0%
29.0 2
2.0%
28.7 2
2.0%
28.6 1
1.0%
28.2 1
1.0%
28.1 1
1.0%

mesure_iem_019_value
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)63.5%
Missing37
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean35.84127
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:30.337646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q123
median37
Q348
95-th percentile60.7
Maximum63
Range62
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.116718
Coefficient of variation (CV)0.44966927
Kurtosis-0.71802649
Mean35.84127
Median Absolute Deviation (MAD)12
Skewness-0.23193206
Sum2258
Variance259.74859
MonotonicityNot monotonic
2023-12-10T19:12:30.557541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
44 3
 
3.0%
38 3
 
3.0%
20 3
 
3.0%
23 3
 
3.0%
25 3
 
3.0%
43 3
 
3.0%
55 3
 
3.0%
39 2
 
2.0%
36 2
 
2.0%
19 2
 
2.0%
Other values (30) 36
36.0%
(Missing) 37
37.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
5 1
 
1.0%
9 1
 
1.0%
11 1
 
1.0%
13 1
 
1.0%
14 1
 
1.0%
15 1
 
1.0%
19 2
2.0%
20 3
3.0%
ValueCountFrequency (%)
63 1
 
1.0%
62 2
2.0%
61 1
 
1.0%
58 2
2.0%
57 1
 
1.0%
56 1
 
1.0%
55 3
3.0%
53 1
 
1.0%
51 1
 
1.0%
50 1
 
1.0%

mesure_iem_020_value
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing82
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean43.444444
Minimum10
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:30.773460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile22.75
Q131.25
median41
Q352.75
95-th percentile75.8
Maximum86
Range76
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation18.535252
Coefficient of variation (CV)0.42664262
Kurtosis0.57232426
Mean43.444444
Median Absolute Deviation (MAD)10.5
Skewness0.64823688
Sum782
Variance343.55556
MonotonicityNot monotonic
2023-12-10T19:12:30.995108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
35 2
 
2.0%
74 1
 
1.0%
25 1
 
1.0%
31 1
 
1.0%
39 1
 
1.0%
49 1
 
1.0%
30 1
 
1.0%
86 1
 
1.0%
47 1
 
1.0%
45 1
 
1.0%
Other values (7) 7
 
7.0%
(Missing) 82
82.0%
ValueCountFrequency (%)
10 1
1.0%
25 1
1.0%
27 1
1.0%
30 1
1.0%
31 1
1.0%
32 1
1.0%
35 2
2.0%
39 1
1.0%
43 1
1.0%
45 1
1.0%
ValueCountFrequency (%)
86 1
1.0%
74 1
1.0%
64 1
1.0%
56 1
1.0%
54 1
1.0%
49 1
1.0%
47 1
1.0%
45 1
1.0%
43 1
1.0%
39 1
1.0%

mesure_iem_021_value
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
11.4
 
1
10.39
 
1
10.8
 
1
11.22
 
1

Length

Max length5
Median length4
Mean length4.03
Min length4

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
11.4 1
 
1.0%
10.39 1
 
1.0%
10.8 1
 
1.0%
11.22 1
 
1.0%
12.22 1
 
1.0%

Length

2023-12-10T19:12:31.254630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:31.549649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
11.4 1
 
1.0%
10.39 1
 
1.0%
10.8 1
 
1.0%
11.22 1
 
1.0%
12.22 1
 
1.0%

mesure_iem_022_value
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)85.9%
Missing29
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean180.3662
Minimum87
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:31.826719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile106.5
Q1151.5
median178
Q3220
95-th percentile246
Maximum267
Range180
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation45.48194
Coefficient of variation (CV)0.25216443
Kurtosis-0.95156744
Mean180.3662
Median Absolute Deviation (MAD)38
Skewness-0.081780194
Sum12806
Variance2068.6068
MonotonicityNot monotonic
2023-12-10T19:12:32.152427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229 3
 
3.0%
220 3
 
3.0%
242 2
 
2.0%
175 2
 
2.0%
163 2
 
2.0%
115 2
 
2.0%
157 2
 
2.0%
212 2
 
2.0%
195 1
 
1.0%
234 1
 
1.0%
Other values (51) 51
51.0%
(Missing) 29
29.0%
ValueCountFrequency (%)
87 1
1.0%
102 1
1.0%
105 1
1.0%
106 1
1.0%
107 1
1.0%
115 2
2.0%
116 1
1.0%
118 1
1.0%
119 1
1.0%
123 1
1.0%
ValueCountFrequency (%)
267 1
 
1.0%
265 1
 
1.0%
254 1
 
1.0%
250 1
 
1.0%
242 2
2.0%
240 1
 
1.0%
235 1
 
1.0%
234 1
 
1.0%
231 1
 
1.0%
229 3
3.0%

mesure_iem_023_value
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean23.3
Minimum12
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:32.446859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15.15
Q120.5
median24
Q327.75
95-th percentile28.55
Maximum29
Range17
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation5.2925524
Coefficient of variation (CV)0.22714817
Kurtosis0.94455107
Mean23.3
Median Absolute Deviation (MAD)4
Skewness-1.0419317
Sum233
Variance28.011111
MonotonicityNot monotonic
2023-12-10T19:12:32.681627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
28 2
 
2.0%
25 1
 
1.0%
19 1
 
1.0%
20 1
 
1.0%
12 1
 
1.0%
22 1
 
1.0%
27 1
 
1.0%
23 1
 
1.0%
29 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
12 1
1.0%
19 1
1.0%
20 1
1.0%
22 1
1.0%
23 1
1.0%
25 1
1.0%
27 1
1.0%
28 2
2.0%
29 1
1.0%
ValueCountFrequency (%)
29 1
1.0%
28 2
2.0%
27 1
1.0%
25 1
1.0%
23 1
1.0%
22 1
1.0%
20 1
1.0%
19 1
1.0%
12 1
1.0%

mesure_iem_024_value
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

mesure_iem_025_value
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean117
Minimum100
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:32.914213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile103.15
Q1109
median116.5
Q3126.25
95-th percentile130.65
Maximum132
Range32
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation10.934146
Coefficient of variation (CV)0.093454242
Kurtosis-1.4937371
Mean117
Median Absolute Deviation (MAD)8.5
Skewness-0.058647829
Sum1170
Variance119.55556
MonotonicityNot monotonic
2023-12-10T19:12:33.187696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
109 2
 
2.0%
127 1
 
1.0%
112 1
 
1.0%
124 1
 
1.0%
129 1
 
1.0%
121 1
 
1.0%
132 1
 
1.0%
100 1
 
1.0%
107 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
100 1
1.0%
107 1
1.0%
109 2
2.0%
112 1
1.0%
121 1
1.0%
124 1
1.0%
127 1
1.0%
129 1
1.0%
132 1
1.0%
ValueCountFrequency (%)
132 1
1.0%
129 1
1.0%
127 1
1.0%
124 1
1.0%
121 1
1.0%
112 1
1.0%
109 2
2.0%
107 1
1.0%
100 1
1.0%

mesure_iem_026_value
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean5.164
Minimum4.41
Maximum6.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:33.414499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.41
5-th percentile4.518
Q14.7925
median5.155
Q35.3275
95-th percentile6.0035
Maximum6.44
Range2.03
Interquartile range (IQR)0.535

Descriptive statistics

Standard deviation0.56032134
Coefficient of variation (CV)0.10850529
Kurtosis2.5261653
Mean5.164
Median Absolute Deviation (MAD)0.26
Skewness1.1437792
Sum51.64
Variance0.31396
MonotonicityNot monotonic
2023-12-10T19:12:33.669247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5.2 1
 
1.0%
5.23 1
 
1.0%
4.41 1
 
1.0%
5.47 1
 
1.0%
5.36 1
 
1.0%
6.44 1
 
1.0%
5.07 1
 
1.0%
4.7 1
 
1.0%
5.11 1
 
1.0%
4.65 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
4.41 1
1.0%
4.65 1
1.0%
4.7 1
1.0%
5.07 1
1.0%
5.11 1
1.0%
5.2 1
1.0%
5.23 1
1.0%
5.36 1
1.0%
5.47 1
1.0%
6.44 1
1.0%
ValueCountFrequency (%)
6.44 1
1.0%
5.47 1
1.0%
5.36 1
1.0%
5.23 1
1.0%
5.2 1
1.0%
5.11 1
1.0%
5.07 1
1.0%
4.7 1
1.0%
4.65 1
1.0%
4.41 1
1.0%

mesure_iem_027_value
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing90
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean21.724
Minimum16.55
Maximum25.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:34.110061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.55
5-th percentile17.189
Q120.49
median22.435
Q323.445
95-th percentile24.9735
Maximum25.77
Range9.22
Interquartile range (IQR)2.955

Descriptive statistics

Standard deviation2.8241506
Coefficient of variation (CV)0.13000141
Kurtosis-0.11433013
Mean21.724
Median Absolute Deviation (MAD)1.5
Skewness-0.65256158
Sum217.24
Variance7.9758267
MonotonicityNot monotonic
2023-12-10T19:12:34.340588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
24.0 1
 
1.0%
23.51 1
 
1.0%
16.55 1
 
1.0%
25.77 1
 
1.0%
22.85 1
 
1.0%
23.25 1
 
1.0%
21.0 1
 
1.0%
20.32 1
 
1.0%
22.02 1
 
1.0%
17.97 1
 
1.0%
(Missing) 90
90.0%
ValueCountFrequency (%)
16.55 1
1.0%
17.97 1
1.0%
20.32 1
1.0%
21.0 1
1.0%
22.02 1
1.0%
22.85 1
1.0%
23.25 1
1.0%
23.51 1
1.0%
24.0 1
1.0%
25.77 1
1.0%
ValueCountFrequency (%)
25.77 1
1.0%
24.0 1
1.0%
23.51 1
1.0%
23.25 1
1.0%
22.85 1
1.0%
22.02 1
1.0%
21.0 1
1.0%
20.32 1
1.0%
17.97 1
1.0%
16.55 1
1.0%

mesure_iem_028_value
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.997
Minimum15.8
Maximum106.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:34.621900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.8
5-th percentile31.615
Q142.775
median52.5
Q361.65
95-th percentile79.71
Maximum106.9
Range91.1
Interquartile range (IQR)18.875

Descriptive statistics

Standard deviation15.086454
Coefficient of variation (CV)0.28466619
Kurtosis0.90841735
Mean52.997
Median Absolute Deviation (MAD)9.55
Skewness0.51316638
Sum5299.7
Variance227.6011
MonotonicityNot monotonic
2023-12-10T19:12:34.919523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.5 2
 
2.0%
64.9 2
 
2.0%
61.2 2
 
2.0%
40.8 2
 
2.0%
52.4 2
 
2.0%
52.6 2
 
2.0%
88.3 1
 
1.0%
44.0 1
 
1.0%
38.1 1
 
1.0%
43.0 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
15.8 1
1.0%
28.1 1
1.0%
28.3 1
1.0%
29.5 1
1.0%
30.0 1
1.0%
31.7 1
1.0%
32.2 1
1.0%
32.7 1
1.0%
33.0 1
1.0%
33.4 1
1.0%
ValueCountFrequency (%)
106.9 1
1.0%
88.3 1
1.0%
83.8 1
1.0%
82.2 1
1.0%
79.9 1
1.0%
79.7 1
1.0%
78.3 1
1.0%
78.1 1
1.0%
73.4 1
1.0%
71.6 1
1.0%

mesure_iem_029_value
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

mesure_iem_030_value
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing88
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean-3.6833333
Minimum-40
Maximum50.3
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)7.0%
Memory size1.0 KiB
2023-12-10T19:12:35.171238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-39.945
Q1-37.825
median-32.65
Q337.2
95-th percentile49.365
Maximum50.3
Range90.3
Interquartile range (IQR)75.025

Descriptive statistics

Standard deviation40.676927
Coefficient of variation (CV)-11.04351
Kurtosis-2.1484423
Mean-3.6833333
Median Absolute Deviation (MAD)7.3
Skewness0.41203439
Sum-44.2
Variance1654.6124
MonotonicityNot monotonic
2023-12-10T19:12:35.385854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-40.0 1
 
1.0%
-37.9 1
 
1.0%
36.8 1
 
1.0%
-33.7 1
 
1.0%
48.6 1
 
1.0%
50.3 1
 
1.0%
-32.6 1
 
1.0%
-32.7 1
 
1.0%
-37.8 1
 
1.0%
38.4 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 88
88.0%
ValueCountFrequency (%)
-40.0 1
1.0%
-39.9 1
1.0%
-37.9 1
1.0%
-37.8 1
1.0%
-33.7 1
1.0%
-32.7 1
1.0%
-32.6 1
1.0%
36.3 1
1.0%
36.8 1
1.0%
38.4 1
1.0%
ValueCountFrequency (%)
50.3 1
1.0%
48.6 1
1.0%
38.4 1
1.0%
36.8 1
1.0%
36.3 1
1.0%
-32.6 1
1.0%
-32.7 1
1.0%
-33.7 1
1.0%
-37.8 1
1.0%
-37.9 1
1.0%

mesure_iem_031_value
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
94
 
1
68
 
1
84
 
1

Length

Max length4
Median length4
Mean length3.94
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
94 1
 
1.0%
68 1
 
1.0%
84 1
 
1.0%

Length

2023-12-10T19:12:35.639863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:35.869660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
94 1
 
1.0%
68 1
 
1.0%
84 1
 
1.0%

mesure_iem_032_value
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
132
 
1
100
 
1
119
 
1

Length

Max length4
Median length4
Mean length3.97
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
132 1
 
1.0%
100 1
 
1.0%
119 1
 
1.0%

Length

2023-12-10T19:12:36.065112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:36.259364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
132 1
 
1.0%
100 1
 
1.0%
119 1
 
1.0%

mesure_iem_033_value
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
141
 
1
130
 
1
150
 
1

Length

Max length4
Median length4
Mean length3.97
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
141 1
 
1.0%
130 1
 
1.0%
150 1
 
1.0%

Length

2023-12-10T19:12:36.490288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:36.715815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
141 1
 
1.0%
130 1
 
1.0%
150 1
 
1.0%

mesure_iem_034_value
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
99 
188
 
1

Length

Max length4
Median length4
Mean length3.99
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
99.0%
188 1
 
1.0%

Length

2023-12-10T19:12:36.925843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:37.093472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
99.0%
188 1
 
1.0%

mesure_iem_035_value
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
41.7
 
1
48.7
 
1
35.5
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
41.7 1
 
1.0%
48.7 1
 
1.0%
35.5 1
 
1.0%

Length

2023-12-10T19:12:37.276183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:37.450826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
41.7 1
 
1.0%
48.7 1
 
1.0%
35.5 1
 
1.0%

mesure_iem_036_value
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)71.2%
Missing41
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean114.52542
Minimum57
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:37.676026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile81.3
Q1102.5
median115
Q3128
95-th percentile145.8
Maximum163
Range106
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation22.05116
Coefficient of variation (CV)0.1925438
Kurtosis-0.0034120489
Mean114.52542
Median Absolute Deviation (MAD)13
Skewness-0.12133842
Sum6757
Variance486.25365
MonotonicityNot monotonic
2023-12-10T19:12:37.916198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
103 4
 
4.0%
136 3
 
3.0%
112 3
 
3.0%
116 2
 
2.0%
121 2
 
2.0%
119 2
 
2.0%
118 2
 
2.0%
83 2
 
2.0%
95 2
 
2.0%
124 2
 
2.0%
Other values (32) 35
35.0%
(Missing) 41
41.0%
ValueCountFrequency (%)
57 1
1.0%
71 1
1.0%
75 1
1.0%
82 1
1.0%
83 2
2.0%
85 1
1.0%
88 1
1.0%
91 1
1.0%
95 2
2.0%
96 1
1.0%
ValueCountFrequency (%)
163 1
 
1.0%
160 1
 
1.0%
153 1
 
1.0%
145 1
 
1.0%
144 1
 
1.0%
141 2
2.0%
140 2
2.0%
139 1
 
1.0%
137 1
 
1.0%
136 3
3.0%

mesure_iem_037_value
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)81.4%
Missing41
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean38.786441
Minimum22.5
Maximum50.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:38.150613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.5
5-th percentile28.92
Q135.75
median38.2
Q342.25
95-th percentile47.34
Maximum50.9
Range28.4
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.6581482
Coefficient of variation (CV)0.14587954
Kurtosis0.48107722
Mean38.786441
Median Absolute Deviation (MAD)3.5
Skewness-0.37573843
Sum2288.4
Variance32.014641
MonotonicityNot monotonic
2023-12-10T19:12:38.354337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
36.1 4
 
4.0%
42.1 3
 
3.0%
39.7 2
 
2.0%
37.2 2
 
2.0%
34.7 2
 
2.0%
37.1 2
 
2.0%
35.1 2
 
2.0%
38.2 2
 
2.0%
43.3 1
 
1.0%
50.9 1
 
1.0%
Other values (38) 38
38.0%
(Missing) 41
41.0%
ValueCountFrequency (%)
22.5 1
1.0%
25.9 1
1.0%
27.3 1
1.0%
29.1 1
1.0%
30.1 1
1.0%
32.2 1
1.0%
33.6 1
1.0%
33.8 1
1.0%
34.2 1
1.0%
34.4 1
1.0%
ValueCountFrequency (%)
50.9 1
1.0%
47.8 1
1.0%
47.7 1
1.0%
47.3 1
1.0%
47.2 1
1.0%
46.8 1
1.0%
45.9 1
1.0%
45.7 1
1.0%
45.6 1
1.0%
44.8 1
1.0%

mesure_iem_038_value
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

mesure_iem_039_value
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

mesure_iem_040_value
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)87.7%
Missing43
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean0.3525614
Minimum0.234
Maximum0.576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:12:38.626833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.234
5-th percentile0.267
Q10.307
median0.353
Q30.389
95-th percentile0.4566
Maximum0.576
Range0.342
Interquartile range (IQR)0.082

Descriptive statistics

Standard deviation0.063561561
Coefficient of variation (CV)0.18028508
Kurtosis1.5087688
Mean0.3525614
Median Absolute Deviation (MAD)0.042
Skewness0.76804931
Sum20.096
Variance0.0040400721
MonotonicityNot monotonic
2023-12-10T19:12:38.926572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 2
 
2.0%
0.28 2
 
2.0%
0.343 2
 
2.0%
0.401 2
 
2.0%
0.362 2
 
2.0%
0.339 2
 
2.0%
0.353 2
 
2.0%
0.268 1
 
1.0%
0.425 1
 
1.0%
0.405 1
 
1.0%
Other values (40) 40
40.0%
(Missing) 43
43.0%
ValueCountFrequency (%)
0.234 1
1.0%
0.25 1
1.0%
0.263 1
1.0%
0.268 1
1.0%
0.269 1
1.0%
0.278 1
1.0%
0.28 2
2.0%
0.283 1
1.0%
0.287 1
1.0%
0.29 2
2.0%
ValueCountFrequency (%)
0.576 1
1.0%
0.478 1
1.0%
0.463 1
1.0%
0.455 1
1.0%
0.434 1
1.0%
0.432 1
1.0%
0.425 1
1.0%
0.422 1
1.0%
0.414 1
1.0%
0.405 1
1.0%

mesure_iem_041_value
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
0.471
 
1
0.436
 
1
0.589
 
1

Length

Max length5
Median length4
Mean length4.03
Min length4

Unique

Unique3 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
0.471 1
 
1.0%
0.436 1
 
1.0%
0.589 1
 
1.0%

Length

2023-12-10T19:12:39.201268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:39.836667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
0.471 1
 
1.0%
0.436 1
 
1.0%
0.589 1
 
1.0%

mvm_prscrptn_cn
Text

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:12:40.337259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length392
Median length148
Mean length73.79
Min length7

Characters and Unicode

Total characters7379
Distinct characters234
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)53.0%

Sample

1st row준비운동:배 스트레칭
2nd row준비운동:트레드밀에서 걷기 / 본운동:전신 루틴 스트레칭,하지 루틴 스트레칭1 / 마무리운동:실내 자전거타기
3rd row준비운동:배 스트레칭
4th row준비운동:전신 루틴 스트레칭
5th row본운동:슈퍼맨자세,엎드려 팔 대고 버티기,윗몸말아올리기
ValueCountFrequency (%)
루틴 79
 
6.1%
스트레칭 53
 
4.1%
50
 
3.9%
다리 38
 
2.9%
올라갔다 20
 
1.5%
전신 20
 
1.5%
뒤쪽 19
 
1.5%
앞으로 18
 
1.4%
앉았다 17
 
1.3%
들어올리기 17
 
1.3%
Other values (412) 963
74.4%
2023-12-10T19:12:41.209897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1204
 
16.3%
, 455
 
6.2%
기 423
 
5.7%
리 220
 
3.0%
트 189
 
2.6%
레 187
 
2.5%
스 186
 
2.5%
동 178
 
2.4%
서 178
 
2.4%
칭 170
 
2.3%
Other values (224) 3989
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5472
74.2%
Space Separator 1204
 
16.3%
Other Punctuation 666
 
9.0%
Decimal Number 31
 
0.4%
Uppercase Letter 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 423
 
7.7%
리 220
 
4.0%
트 189
 
3.5%
레 187
 
3.4%
스 186
 
3.4%
동 178
 
3.3%
서 178
 
3.3%
칭 170
 
3.1%
운 164
 
3.0%
어 116
 
2.1%
Other values (215) 3461
63.2%
Other Punctuation
ValueCountFrequency (%)
, 455
68.3%
: 150
 
22.5%
/ 61
 
9.2%
Decimal Number
ValueCountFrequency (%)
2 19
61.3%
1 12
38.7%
Space Separator
ValueCountFrequency (%)
1204
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5470
74.1%
Common 1905
 
25.8%
Latin 2
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 423
 
7.7%
리 220
 
4.0%
트 189
 
3.5%
레 187
 
3.4%
스 186
 
3.4%
동 178
 
3.3%
서 178
 
3.3%
칭 170
 
3.1%
운 164
 
3.0%
어 116
 
2.1%
Other values (214) 3459
63.2%
Common
ValueCountFrequency (%)
1204
63.2%
, 455
 
23.9%
: 150
 
7.9%
/ 61
 
3.2%
2 19
 
1.0%
1 12
 
0.6%
( 2
 
0.1%
) 2
 
0.1%
Latin
ValueCountFrequency (%)
I 2
100.0%
Han
ValueCountFrequency (%)
十 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5470
74.1%
ASCII 1907
 
25.8%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1204
63.1%
, 455
 
23.9%
: 150
 
7.9%
/ 61
 
3.2%
2 19
 
1.0%
1 12
 
0.6%
I 2
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
Hangul
ValueCountFrequency (%)
기 423
 
7.7%
리 220
 
4.0%
트 189
 
3.5%
레 187
 
3.4%
스 186
 
3.4%
동 178
 
3.3%
서 178
 
3.3%
칭 170
 
3.1%
운 164
 
3.0%
어 116
 
2.1%
Other values (214) 3459
63.2%
CJK
ValueCountFrequency (%)
十 2
100.0%

Sample

mber_seq_no_valuemesure_seq_nocnter_nmagrde_flag_nmmesure_place_flag_nmmesure_age_coinpt_flag_nmcrtfc_flag_nmmesure_desexdstn_flag_cdmesure_iem_001_valuemesure_iem_002_valuemesure_iem_003_valuemesure_iem_004_valuemesure_iem_005_valuemesure_iem_006_valuemesure_iem_007_valuemesure_iem_008_valuemesure_iem_009_valuemesure_iem_010_valuemesure_iem_012_valuemesure_iem_013_valuemesure_iem_014_valuemesure_iem_015_valuemesure_iem_016_valuemesure_iem_017_valuemesure_iem_018_valuemesure_iem_019_valuemesure_iem_020_valuemesure_iem_021_valuemesure_iem_022_valuemesure_iem_023_valuemesure_iem_024_valuemesure_iem_025_valuemesure_iem_026_valuemesure_iem_027_valuemesure_iem_028_valuemesure_iem_029_valuemesure_iem_030_valuemesure_iem_031_valuemesure_iem_032_valuemesure_iem_033_valuemesure_iem_034_valuemesure_iem_035_valuemesure_iem_036_valuemesure_iem_037_valuemesure_iem_038_valuemesure_iem_039_valuemesure_iem_040_valuemesure_iem_041_valuemvm_prscrptn_cn
0AAHYQpAm3NciBTcAeB7kFCw02KSPO송파(출장A)성인출장40관리자3등급20211108M177.788.923.4<NA>9314651.654.7<NA><NA>13.3<NA><NA><NA><NA><NA>28.247<NA><NA>220<NA><NA><NA><NA><NA>61.5<NA><NA><NA><NA><NA><NA><NA>11238.2<NA><NA>0.353<NA>준비운동:배 스트레칭
1AAEPrnblhqglrK1nLygv8fPS1순천성인일반47관리자3등급20211111F160.055.723.982.08012025.321.0<NA><NA>10.7<NA><NA><NA><NA><NA>21.8<NA><NA><NA>156<NA><NA><NA><NA><NA>45.4<NA><NA><NA><NA><NA><NA><NA>11233.8<NA><NA>0.401<NA>준비운동:트레드밀에서 걷기 / 본운동:전신 루틴 스트레칭,하지 루틴 스트레칭1 / 마무리운동:실내 자전거타기
2AAGocP4Vt9YA4IbSX/6kXoc52KSPO송파(출장A)성인출장42관리자2등급20211108M174.677.021.7<NA>8715442.245.3<NA><NA>9.7<NA><NA><NA><NA><NA>25.340<NA><NA>219<NA><NA><NA><NA><NA>58.8<NA><NA><NA><NA><NA><NA><NA>7545.6<NA><NA>0.25<NA>준비운동:배 스트레칭
3AAERw6S6FxZV9GxZhsPQ278z1수원성인출장22관리자참가증20211115F168.154.131.168.07211729.234.3<NA><NA>3.0<NA><NA><NA><NA><NA>19.138<NA><NA>150<NA><NA><NA><NA><NA>63.4<NA><NA><NA><NA><NA><NA><NA>14136.1<NA><NA>0.434<NA>준비운동:전신 루틴 스트레칭
4AAFIWu3pg0v6G9+6M8SpAKxC1스포원(금정)유소년출장11관리자참가증20211104F152.145.1<NA>65.08011211.613.36<NA>19.5<NA><NA><NA><NA><NA>19.5<NA>47<NA>130<NA><NA><NA><NA><NA>29.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>본운동:슈퍼맨자세,엎드려 팔 대고 버티기,윗몸말아올리기
5AAGgXkI51mGmsEsLl3J9UR2P1스포원(금정)유소년출장12관리자참가증20211105F162.260.7<NA>78.0659717.320.312<NA>9.5<NA><NA><NA><NA><NA>23.1<NA>45<NA>105<NA><NA><NA><NA><NA>33.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>본운동:슈퍼맨자세,엎드려 팔 대고 버티기,윗몸말아올리기
6AAHhTorIcenngs9Ar5jVpJVW2강북성인일반19측정기기참가증20211101F163.359.031.883.06512126.728.2<NA><NA>12.8<NA><NA><NA><NA><NA>22.120<NA><NA>157<NA><NA><NA><NA><NA>47.8<NA><NA><NA><NA><NA><NA><NA>8841.4<NA><NA>0.382<NA>준비운동:윗몸올리기 ,하지 루틴 스트레칭2
7AAGDhDi6IVBMr31zhamnzHg31달서성인출장55관리자참가증20211129F164.058.426.479.87211028.530.6<NA><NA>-5.5<NA><NA><NA><NA><NA>21.723<NA><NA>141<NA><NA><NA><NA><NA>52.4<NA><NA><NA><NA><NA><NA><NA>13629.1<NA><NA><NA><NA>준비운동:누워서 전신 뻗기,깍지 끼고 상체 숙이기,목 스트레칭,등/어깨 뒤쪽 스트레칭,어깨 뒤쪽 스트레칭,아래 팔 스트레칭,엉덩이 스트레칭,허리 스트레칭,옆구리 스트레칭,양팔 벌려 전신 비틀기,어깨 스트레칭,어깨 양 옆으로 돌리기,줄넘기,계단 뛰어 오르기,앉아서 다리 펴기,몸통 들어올리기,뒤꿈치 들기,팔굽혀 펴기,바로서서 상체 숙이기,누워 다리 들어올리기,목 스트레칭,팔 당기기,어깨 누르기,상체 앞으로 숙이기,목 돌리기,팔꿈치 원 그리기,한발 앞으로 내밀고 앉았다 일어서기,손목 펴기/굽히기,앉아서 팔꿈치 굽히기/펴기 ,서서 균형잡기 / 본운동:수영 / 마무리운동:온 몸 뻗어주기,무릎 굽혀 가슴 닿기,앉아서 한 발 앞으로 굽히기,앉아서 옆구리 늘려주기,앉아 윗몸 앞으로 굽히기,엎드려 어깨 늘리기
8AAEKal523CPxtbWdP3o2SOAb2KSPO송파(출장A)유소년출장12관리자참가증20211104F149.952.7<NA>78.88012023.723.08<NA>6.9<NA><NA><NA><NA><NA>23.5<NA>64<NA>153<NA><NA><NA><NA><NA>45.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준비운동:계단 올라갔다 내려오기
9AAGD0cnTFXF1OHb64+4NPOPv1곡성노인출장86관리자참가증20211118M152.949.431.574.6761396.77.8<NA><NA>0.0<NA><NA><NA><NA><NA>21.1<NA><NA><NA><NA><NA><NA><NA><NA><NA>15.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>본운동:앉아서 덤벨로 손목 굽히기,벽에서 팔굽혀 펴기,물통으로 양팔 들어올리기
mber_seq_no_valuemesure_seq_nocnter_nmagrde_flag_nmmesure_place_flag_nmmesure_age_coinpt_flag_nmcrtfc_flag_nmmesure_desexdstn_flag_cdmesure_iem_001_valuemesure_iem_002_valuemesure_iem_003_valuemesure_iem_004_valuemesure_iem_005_valuemesure_iem_006_valuemesure_iem_007_valuemesure_iem_008_valuemesure_iem_009_valuemesure_iem_010_valuemesure_iem_012_valuemesure_iem_013_valuemesure_iem_014_valuemesure_iem_015_valuemesure_iem_016_valuemesure_iem_017_valuemesure_iem_018_valuemesure_iem_019_valuemesure_iem_020_valuemesure_iem_021_valuemesure_iem_022_valuemesure_iem_023_valuemesure_iem_024_valuemesure_iem_025_valuemesure_iem_026_valuemesure_iem_027_valuemesure_iem_028_valuemesure_iem_029_valuemesure_iem_030_valuemesure_iem_031_valuemesure_iem_032_valuemesure_iem_033_valuemesure_iem_034_valuemesure_iem_035_valuemesure_iem_036_valuemesure_iem_037_valuemesure_iem_038_valuemesure_iem_039_valuemesure_iem_040_valuemesure_iem_041_valuemvm_prscrptn_cn
90AAGpqlDV5SED8sq5jv4ijRre2KSPO송파노인일반69측정기기2등급20211119F160.564.331.389.48414328.829.3<NA><NA>21.2<NA><NA><NA><NA><NA>25.0<NA><NA><NA><NA>23<NA>1095.1122.0245.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준비운동:깍지 끼고 상체 숙이기,양팔 벌려 전신 비틀기,팔꿈치 맞닿아 원그리기,어깨 스트레칭 / 본운동:밴드 걸고 누워서 다리 들어올리기,밴드 걸고 옆으로 누워 다리 올리기,밴드 걸고 앉아서 발등 굽힘,몸통 들어올리기,짐볼에서 윗몸 일으키기,벽에서 팔굽혀 펴기,의자 앞에서 앉았다 일어서기 / 마무리운동:목 스트레칭,등/어깨 뒤쪽 스트레칭,옆구리 스트레칭,엉덩이 스트레칭2,넙다리 뒤쪽 스트레칭
91AAE7w53nBq296yTc/0hVos4B1연제성인일반54측정기기참가증20211102M174.876.626.292.09714540.040.3<NA><NA>12.5<NA><NA><NA><NA><NA>25.125<NA><NA>172<NA><NA><NA><NA><NA>52.6<NA><NA><NA><NA><NA><NA><NA>11636.7<NA><NA>0.343<NA>준비운동:트레드밀에서 걷기,계단 뛰어 오르기 / 본운동:엎드려서 다리 차올리기,의자 앞에서 앉았다 일어서기,엎드려 버티기,누워서 엉덩이 들어올리기,네발기기 자세로 팔 다리 들기,서서 탄력밴드 당겨내리기/올리기,허리 굽혀 팔 뒤로 들기,한발 앞으로 내밀고 앉았다 일어서기,서서 다리 뒤로 차기,누워서 배가로근 수축 II / 마무리운동:전신 루틴 스트레칭,자가근막이완술 루틴 스트레칭
92AAHE5Z55Ghopa48vXnqYQypK1미추홀성인일반62측정기기2등급20211102F163.756.923.569.76612025.632.4<NA><NA>16.7<NA><NA><NA><NA><NA>21.225<NA><NA>140<NA><NA><NA><NA><NA>56.9<NA><NA><NA><NA><NA><NA><NA>8234.7<NA><NA>0.366<NA>준비운동:유산소 운동 전 동적 루틴 스트레칭 / 본운동:바벨들어올리기,앉았다 일어서기 / 마무리운동:전신 루틴 스트레칭
93AAHqKys66qdPsEPTRdJHSkaH6의정부성인일반48관리자1등급20211102M164.469.318.376.57112144.145.0<NA><NA>18.7<NA><NA><NA><NA><NA>25.644<NA><NA>222<NA><NA><NA><NA><NA>64.9<NA><NA><NA><NA><NA><NA><NA>5747.7<NA><NA>0.402<NA>준비운동:하지 루틴 스트레칭2,전신 루틴 스트레칭,맨몸운동 루틴프로그램,정적 스트레칭 루틴프로그램,스텝박스 오르내리기 ,달리기
94AAG9TYWbvXvfpDYEe8nzFU4W4동작성인일반26관리자1등급20211102M165.068.225.076.09214841.145.6<NA><NA>19.4<NA><NA><NA><NA><NA>25.155<NA><NA><NA><NA><NA><NA><NA><NA>66.9<NA><NA><NA><NA><NA><NA><NA>9947.2<NA><NA>0.2780.589준비운동:앉았다 일어서면서 점프하기,버피운동,계단 두발 뛰기,계단 한발 뛰기
95AAEzZ+S2QCBrNC0pEVXdJs011스포원(금정)성인출장19관리자3등급20211101F163.262.032.1<NA>6911125.322.9<NA><NA>21.0<NA><NA><NA><NA><NA>23.3433911.22186<NA><NA><NA><NA><NA>40.8<NA>38.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>본운동:손목 펴기/굽히기,물병 옆으로 들어올리기,앉아서 팔꿈치 굽히기/펴기
96AAFj05/s1yxRP71+sGwBSuMI1스포원(금정)성인출장20관리자2등급20211101F164.959.933.4<NA>638919.930.4<NA><NA>20.2<NA><NA><NA><NA><NA>22.0353112.22163<NA><NA><NA><NA><NA>50.8<NA>36.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>본운동:몸통 옆으로 굽히기,서서 다리 뒤로 차기,엎드려 버티기,윗몸올리기 ,누워서 엉덩이 들어올리기,팔굽혀펴기
97AAG7l5Qb7ciOIh/G1OThG4h610강릉청소년일반17관리자참가증20211102M173.988.034.2100.88115640.145.8<NA>5517.819.040.56438.3681338.96629.1<NA>25<NA><NA><NA><NA><NA><NA><NA>52.0<NA>-39.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준비운동:달리기,줄넘기
98AAF5TqFS771cPWVU18jxqhp24의정부노인일반69관리자3등급20211102M161.166.127.885.27712331.934.5<NA><NA>2.1<NA><NA><NA><NA><NA>25.5<NA><NA><NA><NA>29<NA>1074.6517.9752.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준비운동:하지 루틴 스트레칭2,전신 루틴 스트레칭
99AAFU6j7bIeEtCVBpgkrXMKMa2마포성인일반61관리자1등급20211102M171.470.020.3<NA>589944.845.4<NA><NA>14.0<NA><NA><NA><NA><NA>23.844<NA><NA>178<NA><NA><NA><NA><NA>64.9<NA><NA><NA><NA><NA><NA><NA>10937.2<NA><NA>0.376<NA>본운동:앉아서 다리 밀기,앉아서 다리 펴기,윗몸 말아 올리기,서서 상체 일으키기,앉았다 일어서기,달리기,실내 자전거타기,계단 올라갔다 내려오기,수영,목 스트레칭,등/어깨 뒤쪽 스트레칭,허리 스트레칭,넙다리 뒤쪽 스트레칭