Overview

Dataset statistics

Number of variables22
Number of observations64
Missing cells314
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory190.1 B

Variable types

Categorical3
Text7
Numeric12

Dataset

Description제1기(2009-2011), 제2기(2012-2014), 제3기(2015-2017) 국민환경보건 기초조사 결과_ 혈중 및 요중 환경유해물질(중금속, VOCs, PAHs 등) 농도
Author환경부 국립환경과학원
URLhttps://www.data.go.kr/data/3075219/fileData.do

Alerts

분류(3) is highly imbalanced (79.9%)Imbalance
2011_성인_기하평균 has 28 (43.8%) missing valuesMissing
2011_성인_기하평균 (95퍼센트 신뢰구간) has 28 (43.8%) missing valuesMissing
2011_성인_95 백분위수 has 28 (43.8%) missing valuesMissing
2014_성인_기하평균 has 20 (31.2%) missing valuesMissing
2014_성인_기하평균 (95퍼센트 신뢰구간) has 20 (31.2%) missing valuesMissing
2014_성인_95 백분위수 has 18 (28.1%) missing valuesMissing
2017_영유아_기하평균 has 20 (31.2%) missing valuesMissing
2017_영유아_기하평균 (95퍼센트 신뢰구간) has 20 (31.2%) missing valuesMissing
2017_영유아_95 백분위수 has 14 (21.9%) missing valuesMissing
2017_초등학생_기하평균 has 20 (31.2%) missing valuesMissing
2017_초등학생_기하평균 (95퍼센트 신뢰구간) has 20 (31.2%) missing valuesMissing
2017_초등학생_95 백분위수 has 14 (21.9%) missing valuesMissing
2017_중고등학생_기하평균 has 10 (15.6%) missing valuesMissing
2017_중고등학생_기하평균 (95퍼센트 신뢰구간) has 10 (15.6%) missing valuesMissing
2017_중고등학생_95 백분위수 has 8 (12.5%) missing valuesMissing
2017_성인_기하평균 has 14 (21.9%) missing valuesMissing
2017_성인_기하평균 (95퍼센트 신뢰구간) has 14 (21.9%) missing valuesMissing
2017_성인_95 백분위수 has 8 (12.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:06:38.600592
Analysis finished2023-12-12 06:06:38.950382
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류(1)
Categorical

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
프탈레이트 대사체
16 
환경성 페놀류
14 
휘발성 유기화합물 대사체
12 
다환방향족 탄화수소 대사체
8 
중금속
6 
Other values (2)
8 

Length

Max length15
Median length14
Mean length9.375
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
프탈레이트 대사체 16
25.0%
환경성 페놀류 14
21.9%
휘발성 유기화합물 대사체 12
18.8%
다환방향족 탄화수소 대사체 8
12.5%
중금속 6
 
9.4%
니코틴 대사체 6
 
9.4%
피레스로이드계 살충제 대사체 2
 
3.1%

Length

2023-12-12T15:06:39.026504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:06:39.167155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대사체 44
30.6%
프탈레이트 16
 
11.1%
환경성 14
 
9.7%
페놀류 14
 
9.7%
휘발성 12
 
8.3%
유기화합물 12
 
8.3%
다환방향족 8
 
5.6%
탄화수소 8
 
5.6%
중금속 6
 
4.2%
니코틴 6
 
4.2%
Other values (2) 4
 
2.8%

분류(2)
Text

Distinct32
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T15:06:39.424824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length10.671875
Min length1

Characters and Unicode

Total characters683
Distinct characters91
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row납
2nd row수은
3rd row수은
4th row수은
5th row카드뮴
ValueCountFrequency (%)
코티닌 6
 
6.8%
비스페놀 6
 
6.8%
수은 3
 
3.4%
3-pba 2
 
2.3%
모노벤질프탈레이트 2
 
2.3%
mbzp 2
 
2.3%
모노(카르복시옥틸)프탈레이트 2
 
2.3%
mcop 2
 
2.3%
모노(3-카르복시프로필)프탈레이트(mcpp 2
 
2.3%
모노(카르복시노닐)프탈레이트(mcnp 2
 
2.3%
Other values (30) 59
67.0%
2023-12-12T15:06:39.839628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 36
 
5.3%
) 36
 
5.3%
- 34
 
5.0%
24
 
3.5%
이 24
 
3.5%
프 22
 
3.2%
P 22
 
3.2%
트 20
 
2.9%
노 18
 
2.6%
시 18
 
2.6%
Other values (81) 429
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
64.6%
Uppercase Letter 78
 
11.4%
Open Punctuation 36
 
5.3%
Close Punctuation 36
 
5.3%
Dash Punctuation 34
 
5.0%
Decimal Number 26
 
3.8%
Space Separator 24
 
3.5%
Lowercase Letter 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
5.4%
프 22
 
5.0%
트 20
 
4.5%
노 18
 
4.1%
시 18
 
4.1%
틸 18
 
4.1%
레 16
 
3.6%
산 16
 
3.6%
모 16
 
3.6%
탈 16
 
3.6%
Other values (59) 257
58.3%
Uppercase Letter
ValueCountFrequency (%)
P 22
28.2%
M 16
20.5%
C 8
 
10.3%
H 6
 
7.7%
B 6
 
7.7%
E 6
 
7.7%
O 4
 
5.1%
A 4
 
5.1%
S 2
 
2.6%
N 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 10
38.5%
5 6
23.1%
3 6
23.1%
1 4
 
15.4%
Lowercase Letter
ValueCountFrequency (%)
t 4
50.0%
z 2
25.0%
n 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
64.6%
Common 156
 
22.8%
Latin 86
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 24
 
5.4%
프 22
 
5.0%
트 20
 
4.5%
노 18
 
4.1%
시 18
 
4.1%
틸 18
 
4.1%
레 16
 
3.6%
산 16
 
3.6%
모 16
 
3.6%
탈 16
 
3.6%
Other values (59) 257
58.3%
Latin
ValueCountFrequency (%)
P 22
25.6%
M 16
18.6%
C 8
 
9.3%
H 6
 
7.0%
B 6
 
7.0%
E 6
 
7.0%
O 4
 
4.7%
A 4
 
4.7%
t 4
 
4.7%
S 2
 
2.3%
Other values (4) 8
 
9.3%
Common
ValueCountFrequency (%)
( 36
23.1%
) 36
23.1%
- 34
21.8%
24
15.4%
2 10
 
6.4%
5 6
 
3.8%
3 6
 
3.8%
1 4
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
64.6%
ASCII 242
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 36
14.9%
) 36
14.9%
- 34
14.0%
24
9.9%
P 22
9.1%
M 16
 
6.6%
2 10
 
4.1%
C 8
 
3.3%
H 6
 
2.5%
5 6
 
2.5%
Other values (12) 44
18.2%
Hangul
ValueCountFrequency (%)
이 24
 
5.4%
프 22
 
5.0%
트 20
 
4.5%
노 18
 
4.1%
시 18
 
4.1%
틸 18
 
4.1%
레 16
 
3.6%
산 16
 
3.6%
모 16
 
3.6%
탈 16
 
3.6%
Other values (59) 257
58.3%

분류(3)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
요
62 
전혈
 
2

Length

Max length2
Median length1
Mean length1.03125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전혈
2nd row전혈
3rd row요
4th row요
5th row요

Common Values

ValueCountFrequency (%)
요 62
96.9%
전혈 2
 
3.1%

Length

2023-12-12T15:06:40.023466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:06:40.119056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요 62
96.9%
전혈 2
 
3.1%

분류(4)
Categorical

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
㎍/L
26 
㎍/g cr.
25 
mg/L
5 
mg/g cr.
5 
㎍/dL
 
1
Other values (2)
 
2

Length

Max length8
Median length7
Mean length5.109375
Min length3

Unique

Unique3 ?
Unique (%)4.7%

Sample

1st row㎍/dL
2nd row㎍/L
3rd row㎍/L
4th row㎍/g cr.
5th row㎍/L

Common Values

ValueCountFrequency (%)
㎍/L 26
40.6%
㎍/g cr. 25
39.1%
mg/L 5
 
7.8%
mg/g cr. 5
 
7.8%
㎍/dL 1
 
1.6%
g/L 1
 
1.6%
g/g cr. 1
 
1.6%

Length

2023-12-12T15:06:40.252701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:06:40.385086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cr 31
32.6%
㎍/l 26
27.4%
㎍/g 25
26.3%
mg/l 5
 
5.3%
mg/g 5
 
5.3%
㎍/dl 1
 
1.1%
g/l 1
 
1.1%
g/g 1
 
1.1%

2011_성인_기하평균
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)97.2%
Missing28
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean63.731722
Minimum0.11
Maximum990.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:40.504712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.14025
Q10.38025
median1.805
Q316.35
95-th percentile286.825
Maximum990.8
Range990.69
Interquartile range (IQR)15.96975

Descriptive statistics

Standard deviation227.43293
Coefficient of variation (CV)3.5685985
Kurtosis15.096028
Mean63.731722
Median Absolute Deviation (MAD)1.5905
Skewness4.0213451
Sum2294.342
Variance51725.737
MonotonicityNot monotonic
2023-12-12T15:06:40.623462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3.08 2
 
3.1%
40.8 1
 
1.6%
49.8 1
 
1.6%
0.143 1
 
1.6%
0.175 1
 
1.6%
0.312 1
 
1.6%
0.403 1
 
1.6%
0.214 1
 
1.6%
0.262 1
 
1.6%
0.215 1
 
1.6%
Other values (25) 25
39.1%
(Missing) 28
43.8%
ValueCountFrequency (%)
0.11 1
1.6%
0.132 1
1.6%
0.143 1
1.6%
0.175 1
1.6%
0.214 1
1.6%
0.215 1
1.6%
0.262 1
1.6%
0.265 1
1.6%
0.312 1
1.6%
0.403 1
1.6%
ValueCountFrequency (%)
990.8 1
1.6%
981.7 1
1.6%
55.2 1
1.6%
49.8 1
1.6%
44.7 1
1.6%
40.8 1
1.6%
25.1 1
1.6%
20.6 1
1.6%
18.9 1
1.6%
15.5 1
1.6%

2011_성인_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing28
Missing (%)43.8%
Memory size644.0 B
2023-12-12T15:06:40.843920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.833333
Min length9

Characters and Unicode

Total characters426
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row(1.72 1.81)
2nd row(2.96 3.21)
3rd row(0.512 0.556)
4th row(0.588 0.635)
5th row(0.556 0.605)
ValueCountFrequency (%)
0.254 2
 
2.8%
0.556 2
 
2.8%
0.206 2
 
2.8%
1066.5 1
 
1.4%
38.6 1
 
1.4%
920.5 1
 
1.4%
43.2 1
 
1.4%
47.3 1
 
1.4%
52.5 1
 
1.4%
0.222 1
 
1.4%
Other values (59) 59
81.9%
2023-12-12T15:06:41.227591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 70
16.4%
0 43
10.1%
37
8.7%
( 36
8.5%
) 36
8.5%
1 35
8.2%
2 32
7.5%
5 27
 
6.3%
3 23
 
5.4%
6 20
 
4.7%
Other values (4) 67
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
58.0%
Other Punctuation 70
 
16.4%
Space Separator 37
 
8.7%
Open Punctuation 36
 
8.5%
Close Punctuation 36
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
17.4%
1 35
14.2%
2 32
13.0%
5 27
10.9%
3 23
9.3%
6 20
8.1%
4 18
7.3%
8 17
 
6.9%
9 17
 
6.9%
7 15
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 70
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 70
16.4%
0 43
10.1%
37
8.7%
( 36
8.5%
) 36
8.5%
1 35
8.2%
2 32
7.5%
5 27
 
6.3%
3 23
 
5.4%
6 20
 
4.7%
Other values (4) 67
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 70
16.4%
0 43
10.1%
37
8.7%
( 36
8.5%
) 36
8.5%
1 35
8.2%
2 32
7.5%
5 27
 
6.3%
3 23
 
5.4%
6 20
 
4.7%
Other values (4) 67
15.7%

2011_성인_95 백분위수
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing28
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean355.31725
Minimum0.6
Maximum3655.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:41.358346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.7405
Q11.7405
median9.385
Q381.625
95-th percentile2569.5
Maximum3655.3
Range3654.7
Interquartile range (IQR)79.8845

Descriptive statistics

Standard deviation918.44108
Coefficient of variation (CV)2.584848
Kurtosis6.8014383
Mean355.31725
Median Absolute Deviation (MAD)8.678
Skewness2.8048588
Sum12791.421
Variance843534.02
MonotonicityNot monotonic
2023-12-12T15:06:41.476135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
10.08 1
 
1.6%
238.8 1
 
1.6%
0.774 1
 
1.6%
0.796 1
 
1.6%
4.178 1
 
1.6%
3.498 1
 
1.6%
0.899 1
 
1.6%
0.834 1
 
1.6%
0.94 1
 
1.6%
0.892 1
 
1.6%
Other values (26) 26
40.6%
(Missing) 28
43.8%
ValueCountFrequency (%)
0.6 1
1.6%
0.64 1
1.6%
0.774 1
1.6%
0.796 1
1.6%
0.834 1
1.6%
0.892 1
1.6%
0.899 1
1.6%
0.94 1
1.6%
1.67 1
1.6%
1.764 1
1.6%
ValueCountFrequency (%)
3655.3 1
1.6%
3203.1 1
1.6%
2358.3 1
1.6%
2158.1 1
1.6%
250.7 1
1.6%
238.8 1
1.6%
208.0 1
1.6%
182.3 1
1.6%
83.5 1
1.6%
81.0 1
1.6%

2014_성인_기하평균
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)97.7%
Missing20
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean47.066955
Minimum0.095
Maximum897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:41.635623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.095
5-th percentile0.12805
Q10.258
median1.625
Q313.25
95-th percentile77.84
Maximum897
Range896.905
Interquartile range (IQR)12.992

Descriptive statistics

Standard deviation179.72114
Coefficient of variation (CV)3.8184144
Kurtosis19.164847
Mean47.066955
Median Absolute Deviation (MAD)1.4635
Skewness4.47908
Sum2070.946
Variance32299.687
MonotonicityNot monotonic
2023-12-12T15:06:41.780278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1.94 2
 
3.1%
0.382 1
 
1.6%
0.153 1
 
1.6%
3.73 1
 
1.6%
1.41 1
 
1.6%
58.8 1
 
1.6%
81.2 1
 
1.6%
0.121 1
 
1.6%
0.168 1
 
1.6%
0.234 1
 
1.6%
Other values (33) 33
51.6%
(Missing) 20
31.2%
ValueCountFrequency (%)
0.095 1
1.6%
0.121 1
1.6%
0.124 1
1.6%
0.151 1
1.6%
0.153 1
1.6%
0.155 1
1.6%
0.168 1
1.6%
0.199 1
1.6%
0.21 1
1.6%
0.214 1
1.6%
ValueCountFrequency (%)
897.0 1
1.6%
817.0 1
1.6%
81.2 1
1.6%
58.8 1
1.6%
32.4 1
1.6%
27.1 1
1.6%
24.2 1
1.6%
23.6 1
1.6%
20.1 1
1.6%
17.5 1
1.6%

2014_성인_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing20
Missing (%)31.2%
Memory size644.0 B
2023-12-12T15:06:42.109610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.727273
Min length9

Characters and Unicode

Total characters516
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row(1.89 1.99)
2nd row(3.02 3.21)
3rd row(0.367 0.398)
4th row(0.471 0.504)
5th row(0.361 0.391)
ValueCountFrequency (%)
0.251 2
 
2.3%
3.02 2
 
2.3%
6.29 2
 
2.3%
26.3 1
 
1.1%
1.84 1
 
1.1%
0.128 1
 
1.1%
0.115 1
 
1.1%
84.8 1
 
1.1%
77.7 1
 
1.1%
61.7 1
 
1.1%
Other values (75) 75
85.2%
2023-12-12T15:06:42.596671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 84
16.3%
0 58
11.2%
1 53
10.3%
( 44
8.5%
44
8.5%
) 44
8.5%
2 43
8.3%
3 25
 
4.8%
9 25
 
4.8%
4 22
 
4.3%
Other values (4) 74
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
58.1%
Other Punctuation 84
 
16.3%
Open Punctuation 44
 
8.5%
Space Separator 44
 
8.5%
Close Punctuation 44
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
19.3%
1 53
17.7%
2 43
14.3%
3 25
8.3%
9 25
8.3%
4 22
 
7.3%
6 20
 
6.7%
7 20
 
6.7%
8 18
 
6.0%
5 16
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 84
16.3%
0 58
11.2%
1 53
10.3%
( 44
8.5%
44
8.5%
) 44
8.5%
2 43
8.3%
3 25
 
4.8%
9 25
 
4.8%
4 22
 
4.3%
Other values (4) 74
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 84
16.3%
0 58
11.2%
1 53
10.3%
( 44
8.5%
44
8.5%
) 44
8.5%
2 43
8.3%
3 25
 
4.8%
9 25
 
4.8%
4 22
 
4.3%
Other values (4) 74
14.3%

2014_성인_95 백분위수
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)97.8%
Missing18
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean240.62635
Minimum0.362
Maximum3364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:42.784557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.362
5-th percentile0.6265
Q11.3525
median9.4
Q369.675
95-th percentile1875.75
Maximum3364
Range3363.638
Interquartile range (IQR)68.3225

Descriptive statistics

Standard deviation693.96208
Coefficient of variation (CV)2.8839821
Kurtosis11.332739
Mean240.62635
Median Absolute Deviation (MAD)9.0285
Skewness3.4145944
Sum11068.812
Variance481583.37
MonotonicityNot monotonic
2023-12-12T15:06:42.947460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20.3 2
 
3.1%
0.643 1
 
1.6%
19.3 1
 
1.6%
8.43 1
 
1.6%
9.75 1
 
1.6%
327.0 1
 
1.6%
326.0 1
 
1.6%
0.716 1
 
1.6%
0.841 1
 
1.6%
1.75 1
 
1.6%
Other values (35) 35
54.7%
(Missing) 18
28.1%
ValueCountFrequency (%)
0.362 1
1.6%
0.381 1
1.6%
0.621 1
1.6%
0.643 1
1.6%
0.652 1
1.6%
0.667 1
1.6%
0.716 1
1.6%
0.719 1
1.6%
0.72 1
1.6%
0.841 1
1.6%
ValueCountFrequency (%)
3364.0 1
1.6%
2472.0 1
1.6%
1934.0 1
1.6%
1701.0 1
1.6%
327.0 1
1.6%
326.0 1
1.6%
105.7 1
1.6%
105.0 1
1.6%
74.4 1
1.6%
72.7 1
1.6%

2017_영유아_기하평균
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)97.7%
Missing20
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean16.290409
Minimum0.08
Maximum97.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:43.131236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.11055
Q10.60425
median2.975
Q326.725
95-th percentile56.31
Maximum97.7
Range97.62
Interquartile range (IQR)26.12075

Descriptive statistics

Standard deviation24.386143
Coefficient of variation (CV)1.4969632
Kurtosis2.3778571
Mean16.290409
Median Absolute Deviation (MAD)2.482
Skewness1.7107153
Sum716.778
Variance594.68399
MonotonicityNot monotonic
2023-12-12T15:06:43.317368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1.24 2
 
3.1%
1.8 1
 
1.6%
45.3 1
 
1.6%
53.4 1
 
1.6%
47.2 1
 
1.6%
55.8 1
 
1.6%
3.12 1
 
1.6%
3.71 1
 
1.6%
1.62 1
 
1.6%
1.9 1
 
1.6%
Other values (33) 33
51.6%
(Missing) 20
31.2%
ValueCountFrequency (%)
0.08 1
1.6%
0.092 1
1.6%
0.108 1
1.6%
0.125 1
1.6%
0.422 1
1.6%
0.491 1
1.6%
0.495 1
1.6%
0.5 1
1.6%
0.513 1
1.6%
0.569 1
1.6%
ValueCountFrequency (%)
97.7 1
1.6%
82.2 1
1.6%
56.4 1
1.6%
55.8 1
1.6%
53.4 1
1.6%
47.2 1
1.6%
46.3 1
1.6%
45.3 1
1.6%
41.1 1
1.6%
34.6 1
1.6%

2017_영유아_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing20
Missing (%)31.2%
Memory size644.0 B
2023-12-12T15:06:43.671648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.568182
Min length10

Characters and Unicode

Total characters509
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row(0.371 0.479)
2nd row(0.442 0.566)
3rd row(0.086 0.136)
4th row(0.100 0.155)
5th row(2.89 3.92)
ValueCountFrequency (%)
1.43 2
 
2.3%
45.5 2
 
2.3%
0.371 1
 
1.1%
63.3 1
 
1.1%
2.11 1
 
1.1%
1.72 1
 
1.1%
1.83 1
 
1.1%
4.37 1
 
1.1%
3.15 1
 
1.1%
3.69 1
 
1.1%
Other values (76) 76
86.4%
2023-12-12T15:06:44.120412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 87
17.1%
0 47
9.2%
( 44
8.6%
3 44
8.6%
44
8.6%
) 44
8.6%
1 42
8.3%
5 27
 
5.3%
4 25
 
4.9%
9 24
 
4.7%
Other values (4) 81
15.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
57.0%
Other Punctuation 87
 
17.1%
Open Punctuation 44
 
8.6%
Space Separator 44
 
8.6%
Close Punctuation 44
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
16.2%
3 44
15.2%
1 42
14.5%
5 27
9.3%
4 25
8.6%
9 24
8.3%
2 23
7.9%
7 20
6.9%
6 19
6.6%
8 19
6.6%
Other Punctuation
ValueCountFrequency (%)
. 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 87
17.1%
0 47
9.2%
( 44
8.6%
3 44
8.6%
44
8.6%
) 44
8.6%
1 42
8.3%
5 27
 
5.3%
4 25
 
4.9%
9 24
 
4.7%
Other values (4) 81
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 87
17.1%
0 47
9.2%
( 44
8.6%
3 44
8.6%
44
8.6%
) 44
8.6%
1 42
8.3%
5 27
 
5.3%
4 25
 
4.9%
9 24
 
4.7%
Other values (4) 81
15.9%

2017_영유아_95 백분위수
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)96.0%
Missing14
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean275.3016
Minimum0.186
Maximum5375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:44.302687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.186
5-th percentile0.45295
Q11.8225
median10.65
Q3120
95-th percentile771.05
Maximum5375
Range5374.814
Interquartile range (IQR)118.1775

Descriptive statistics

Standard deviation894.98787
Coefficient of variation (CV)3.250936
Kurtosis24.764686
Mean275.3016
Median Absolute Deviation (MAD)10.1945
Skewness4.866138
Sum13765.08
Variance801003.3
MonotonicityNot monotonic
2023-12-12T15:06:44.761841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
120.0 2
 
3.1%
10.6 2
 
3.1%
4.8 1
 
1.6%
116.0 1
 
1.6%
5.15 1
 
1.6%
83.6 1
 
1.6%
88.9 1
 
1.6%
173.0 1
 
1.6%
178.0 1
 
1.6%
157.0 1
 
1.6%
Other values (38) 38
59.4%
(Missing) 14
 
21.9%
ValueCountFrequency (%)
0.186 1
1.6%
0.221 1
1.6%
0.43 1
1.6%
0.481 1
1.6%
0.499 1
1.6%
0.728 1
1.6%
0.744 1
1.6%
0.761 1
1.6%
0.95 1
1.6%
1.02 1
1.6%
ValueCountFrequency (%)
5375.0 1
1.6%
3445.0 1
1.6%
830.0 1
1.6%
699.0 1
1.6%
526.0 1
1.6%
476.0 1
1.6%
470.0 1
1.6%
446.0 1
1.6%
178.0 1
1.6%
173.0 1
1.6%

2017_초등학생_기하평균
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)95.5%
Missing20
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean12.741114
Minimum0.1
Maximum91.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:44.950094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.19285
Q10.52075
median1.94
Q318
95-th percentile44.305
Maximum91.2
Range91.1
Interquartile range (IQR)17.47925

Descriptive statistics

Standard deviation21.302546
Coefficient of variation (CV)1.6719533
Kurtosis5.5742128
Mean12.741114
Median Absolute Deviation (MAD)1.643
Skewness2.3183341
Sum560.609
Variance453.79848
MonotonicityNot monotonic
2023-12-12T15:06:45.094315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1.7 2
 
3.1%
1.56 2
 
3.1%
1.2 1
 
1.6%
0.533 1
 
1.6%
43.2 1
 
1.6%
39.9 1
 
1.6%
2.8 1
 
1.6%
2.59 1
 
1.6%
2.24 1
 
1.6%
2.05 1
 
1.6%
Other values (32) 32
50.0%
(Missing) 20
31.2%
ValueCountFrequency (%)
0.1 1
1.6%
0.108 1
1.6%
0.19 1
1.6%
0.209 1
1.6%
0.213 1
1.6%
0.232 1
1.6%
0.362 1
1.6%
0.394 1
1.6%
0.412 1
1.6%
0.452 1
1.6%
ValueCountFrequency (%)
91.2 1
1.6%
84.2 1
1.6%
44.5 1
1.6%
43.2 1
1.6%
40.8 1
1.6%
39.9 1
1.6%
28.9 1
1.6%
28.8 1
1.6%
26.5 1
1.6%
26.4 1
1.6%

2017_초등학생_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing20
Missing (%)31.2%
Memory size644.0 B
2023-12-12T15:06:45.412533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.545455
Min length10

Characters and Unicode

Total characters508
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row(0.370 0.418)
2nd row(0.344 0.382)
3rd row(0.212 0.255)
4th row(0.197 0.229)
5th row(0.091 0.127)
ValueCountFrequency (%)
1.37 2
 
2.3%
1.49 2
 
2.3%
1.52 2
 
2.3%
31.2 2
 
2.3%
42.0 1
 
1.1%
1.92 1
 
1.1%
2.42 1
 
1.1%
2.07 1
 
1.1%
3.07 1
 
1.1%
2.18 1
 
1.1%
Other values (74) 74
84.1%
2023-12-12T15:06:45.884255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 87
17.1%
1 47
9.3%
0 46
9.1%
( 44
8.7%
44
8.7%
) 44
8.7%
2 43
8.5%
4 29
 
5.7%
3 23
 
4.5%
6 23
 
4.5%
Other values (4) 78
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 289
56.9%
Other Punctuation 87
 
17.1%
Open Punctuation 44
 
8.7%
Space Separator 44
 
8.7%
Close Punctuation 44
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
16.3%
0 46
15.9%
2 43
14.9%
4 29
10.0%
3 23
8.0%
6 23
8.0%
7 22
7.6%
5 21
7.3%
9 20
6.9%
8 15
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 87
17.1%
1 47
9.3%
0 46
9.1%
( 44
8.7%
44
8.7%
) 44
8.7%
2 43
8.5%
4 29
 
5.7%
3 23
 
4.5%
6 23
 
4.5%
Other values (4) 78
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 87
17.1%
1 47
9.3%
0 46
9.1%
( 44
8.7%
44
8.7%
) 44
8.7%
2 43
8.5%
4 29
 
5.7%
3 23
 
4.5%
6 23
 
4.5%
Other values (4) 78
15.4%

2017_초등학생_95 백분위수
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)100.0%
Missing14
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean93.18548
Minimum0.398
Maximum913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:46.035458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.398
5-th percentile0.6712
Q11.21
median7.83
Q381.175
95-th percentile482.85
Maximum913
Range912.602
Interquartile range (IQR)79.965

Descriptive statistics

Standard deviation195.68827
Coefficient of variation (CV)2.0999868
Kurtosis8.0074781
Mean93.18548
Median Absolute Deviation (MAD)7.153
Skewness2.8400201
Sum4659.274
Variance38293.901
MonotonicityNot monotonic
2023-12-12T15:06:46.203666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.43 1
 
1.6%
65.3 1
 
1.6%
52.4 1
 
1.6%
144.0 1
 
1.6%
116.0 1
 
1.6%
126.0 1
 
1.6%
99.8 1
 
1.6%
24.2 1
 
1.6%
20.3 1
 
1.6%
8.31 1
 
1.6%
Other values (40) 40
62.5%
(Missing) 14
 
21.9%
ValueCountFrequency (%)
0.398 1
1.6%
0.523 1
1.6%
0.619 1
1.6%
0.735 1
1.6%
0.739 1
1.6%
0.857 1
1.6%
0.87 1
1.6%
0.92 1
1.6%
0.933 1
1.6%
1.02 1
1.6%
ValueCountFrequency (%)
913.0 1
1.6%
754.0 1
1.6%
504.0 1
1.6%
457.0 1
1.6%
440.0 1
1.6%
384.0 1
1.6%
144.0 1
1.6%
126.0 1
1.6%
116.0 1
1.6%
104.0 1
1.6%

2017_중고등학생_기하평균
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)96.3%
Missing10
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean18.677407
Minimum0.033
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:46.353448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.033
5-th percentile0.0982
Q10.41475
median1.725
Q39.08
95-th percentile61.095
Maximum370
Range369.967
Interquartile range (IQR)8.66525

Descriptive statistics

Standard deviation60.045618
Coefficient of variation (CV)3.2148797
Kurtosis25.732969
Mean18.677407
Median Absolute Deviation (MAD)1.4675
Skewness4.9522542
Sum1008.58
Variance3605.4763
MonotonicityNot monotonic
2023-12-12T15:06:46.535423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.97 2
 
3.1%
0.263 2
 
3.1%
1.02 1
 
1.6%
36.9 1
 
1.6%
22.3 1
 
1.6%
2.78 1
 
1.6%
1.74 1
 
1.6%
1.71 1
 
1.6%
1.05 1
 
1.6%
1.48 1
 
1.6%
Other values (42) 42
65.6%
(Missing) 10
 
15.6%
ValueCountFrequency (%)
0.033 1
1.6%
0.053 1
1.6%
0.08 1
1.6%
0.108 1
1.6%
0.127 1
1.6%
0.163 1
1.6%
0.166 1
1.6%
0.183 1
1.6%
0.255 1
1.6%
0.263 2
3.1%
ValueCountFrequency (%)
370.0 1
1.6%
243.0 1
1.6%
80.4 1
1.6%
50.7 1
1.6%
36.9 1
1.6%
28.4 1
1.6%
26.1 1
1.6%
22.3 1
1.6%
19.1 1
1.6%
17.5 1
1.6%

2017_중고등학생_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing10
Missing (%)15.6%
Memory size644.0 B
2023-12-12T15:06:46.857068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.685185
Min length9

Characters and Unicode

Total characters631
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row(0.754 0.853)
2nd row(1.30 1.43)
3rd row(0.374 0.457)
4th row(0.231 0.282)
5th row(0.264 0.316)
ValueCountFrequency (%)
0.307 2
 
1.9%
1.55 2
 
1.9%
29.6 1
 
0.9%
1.35 1
 
0.9%
1.18 1
 
0.9%
0.929 1
 
0.9%
1.88 1
 
0.9%
2.06 1
 
0.9%
1.47 1
 
0.9%
3.27 1
 
0.9%
Other values (96) 96
88.9%
2023-12-12T15:06:47.319780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 104
16.5%
0 77
12.2%
( 54
8.6%
54
8.6%
) 54
8.6%
1 51
8.1%
2 45
7.1%
3 38
 
6.0%
5 31
 
4.9%
6 28
 
4.4%
Other values (4) 95
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 365
57.8%
Other Punctuation 104
 
16.5%
Open Punctuation 54
 
8.6%
Space Separator 54
 
8.6%
Close Punctuation 54
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 77
21.1%
1 51
14.0%
2 45
12.3%
3 38
10.4%
5 31
8.5%
6 28
 
7.7%
7 26
 
7.1%
4 24
 
6.6%
9 24
 
6.6%
8 21
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 631
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 104
16.5%
0 77
12.2%
( 54
8.6%
54
8.6%
) 54
8.6%
1 51
8.1%
2 45
7.1%
3 38
 
6.0%
5 31
 
4.9%
6 28
 
4.4%
Other values (4) 95
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 631
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 104
16.5%
0 77
12.2%
( 54
8.6%
54
8.6%
) 54
8.6%
1 51
8.1%
2 45
7.1%
3 38
 
6.0%
5 31
 
4.9%
6 28
 
4.4%
Other values (4) 95
15.1%

2017_중고등학생_95 백분위수
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)100.0%
Missing8
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean101.09879
Minimum0.523
Maximum1642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:47.483562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.523
5-th percentile0.6925
Q11.51
median10.615
Q383.7
95-th percentile458.25
Maximum1642
Range1641.477
Interquartile range (IQR)82.19

Descriptive statistics

Standard deviation254.98936
Coefficient of variation (CV)2.5221803
Kurtosis24.950904
Mean101.09879
Median Absolute Deviation (MAD)9.785
Skewness4.58628
Sum5661.532
Variance65019.575
MonotonicityNot monotonic
2023-12-12T15:06:47.620046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.2 1
 
1.6%
18.4 1
 
1.6%
89.7 1
 
1.6%
44.3 1
 
1.6%
168.0 1
 
1.6%
83.2 1
 
1.6%
25.3 1
 
1.6%
12.1 1
 
1.6%
6.83 1
 
1.6%
2.99 1
 
1.6%
Other values (46) 46
71.9%
(Missing) 8
 
12.5%
ValueCountFrequency (%)
0.523 1
1.6%
0.569 1
1.6%
0.571 1
1.6%
0.733 1
1.6%
0.742 1
1.6%
0.743 1
1.6%
0.822 1
1.6%
0.838 1
1.6%
0.951 1
1.6%
1.02 1
1.6%
ValueCountFrequency (%)
1642.0 1
1.6%
747.0 1
1.6%
510.0 1
1.6%
441.0 1
1.6%
350.0 1
1.6%
316.0 1
1.6%
240.0 1
1.6%
212.0 1
1.6%
177.0 1
1.6%
168.0 1
1.6%

2017_성인_기하평균
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)100.0%
Missing14
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean31.56274
Minimum0.117
Maximum524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:47.770762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.117
5-th percentile0.1419
Q10.99125
median2.515
Q315.375
95-th percentile97.64
Maximum524
Range523.883
Interquartile range (IQR)14.38375

Descriptive statistics

Standard deviation101.46883
Coefficient of variation (CV)3.2148295
Kurtosis20.276454
Mean31.56274
Median Absolute Deviation (MAD)2.158
Skewness4.5415278
Sum1578.137
Variance10295.923
MonotonicityNot monotonic
2023-12-12T15:06:47.953635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.965 1
 
1.6%
22.3 1
 
1.6%
26.0 1
 
1.6%
1.99 1
 
1.6%
2.4 1
 
1.6%
1.07 1
 
1.6%
1.23 1
 
1.6%
1.13 1
 
1.6%
1.24 1
 
1.6%
0.441 1
 
1.6%
Other values (40) 40
62.5%
(Missing) 14
 
21.9%
ValueCountFrequency (%)
0.117 1
1.6%
0.13 1
1.6%
0.132 1
1.6%
0.154 1
1.6%
0.321 1
1.6%
0.355 1
1.6%
0.359 1
1.6%
0.389 1
1.6%
0.412 1
1.6%
0.429 1
1.6%
ValueCountFrequency (%)
524.0 1
1.6%
502.0 1
1.6%
107.0 1
1.6%
86.2 1
1.6%
41.7 1
1.6%
39.3 1
1.6%
35.2 1
1.6%
30.9 1
1.6%
27.8 1
1.6%
26.0 1
1.6%

2017_성인_기하평균 (95퍼센트 신뢰구간)
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing14
Missing (%)21.9%
Memory size644.0 B
2023-12-12T15:06:48.260725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.4
Min length9

Characters and Unicode

Total characters570
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row(1.56 1.65)
2nd row(2.63 2.88)
3rd row(0.335 0.376)
4th row(0.386 0.440)
5th row(0.326 0.395)
ValueCountFrequency (%)
1.65 2
 
2.0%
2.63 2
 
2.0%
0.395 2
 
2.0%
2.20 1
 
1.0%
1.37 1
 
1.0%
1.13 1
 
1.0%
1.25 1
 
1.0%
1.02 1
 
1.0%
1.36 1
 
1.0%
1.11 1
 
1.0%
Other values (87) 87
87.0%
2023-12-12T15:06:48.721385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 94
16.5%
0 51
8.9%
( 50
8.8%
1 50
8.8%
50
8.8%
) 50
8.8%
2 41
7.2%
3 41
7.2%
4 29
 
5.1%
7 25
 
4.4%
Other values (4) 89
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 326
57.2%
Other Punctuation 94
 
16.5%
Open Punctuation 50
 
8.8%
Space Separator 50
 
8.8%
Close Punctuation 50
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
15.6%
1 50
15.3%
2 41
12.6%
3 41
12.6%
4 29
8.9%
7 25
7.7%
5 25
7.7%
6 22
6.7%
8 22
6.7%
9 20
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 94
16.5%
0 51
8.9%
( 50
8.8%
1 50
8.8%
50
8.8%
) 50
8.8%
2 41
7.2%
3 41
7.2%
4 29
 
5.1%
7 25
 
4.4%
Other values (4) 89
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 94
16.5%
0 51
8.9%
( 50
8.8%
1 50
8.8%
50
8.8%
) 50
8.8%
2 41
7.2%
3 41
7.2%
4 29
 
5.1%
7 25
 
4.4%
Other values (4) 89
15.6%

2017_성인_95 백분위수
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)98.2%
Missing8
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean245.85877
Minimum0.288
Maximum3068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T15:06:48.884620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.288
5-th percentile0.82775
Q12.2575
median11.555
Q3122.75
95-th percentile1594.5
Maximum3068
Range3067.712
Interquartile range (IQR)120.4925

Descriptive statistics

Standard deviation606.14762
Coefficient of variation (CV)2.4654301
Kurtosis12.065293
Mean245.85877
Median Absolute Deviation (MAD)10.518
Skewness3.4353841
Sum13768.091
Variance367414.93
MonotonicityNot monotonic
2023-12-12T15:06:49.058091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.23 2
 
3.1%
50.9 1
 
1.6%
131.0 1
 
1.6%
122.0 1
 
1.6%
125.0 1
 
1.6%
121.0 1
 
1.6%
14.6 1
 
1.6%
14.3 1
 
1.6%
4.59 1
 
1.6%
4.74 1
 
1.6%
Other values (45) 45
70.3%
(Missing) 8
 
12.5%
ValueCountFrequency (%)
0.288 1
1.6%
0.34 1
1.6%
0.779 1
1.6%
0.844 1
1.6%
1.23 2
3.1%
1.28 1
1.6%
1.39 1
1.6%
1.42 1
1.6%
1.47 1
1.6%
1.5 1
1.6%
ValueCountFrequency (%)
3068.0 1
1.6%
2575.0 1
1.6%
1788.0 1
1.6%
1530.0 1
1.6%
676.0 1
1.6%
626.0 1
1.6%
506.0 1
1.6%
498.0 1
1.6%
491.0 1
1.6%
470.0 1
1.6%

Sample

분류(1)분류(2)분류(3)분류(4)2011_성인_기하평균2011_성인_기하평균 (95퍼센트 신뢰구간)2011_성인_95 백분위수2014_성인_기하평균2014_성인_기하평균 (95퍼센트 신뢰구간)2014_성인_95 백분위수2017_영유아_기하평균2017_영유아_기하평균 (95퍼센트 신뢰구간)2017_영유아_95 백분위수2017_초등학생_기하평균2017_초등학생_기하평균 (95퍼센트 신뢰구간)2017_초등학생_95 백분위수2017_중고등학생_기하평균2017_중고등학생_기하평균 (95퍼센트 신뢰구간)2017_중고등학생_95 백분위수2017_성인_기하평균2017_성인_기하평균 (95퍼센트 신뢰구간)2017_성인_95 백분위수
0중금속납전혈㎍/dL1.77(1.72 1.81)3.91.94(1.89 1.99)4.09<NA><NA><NA><NA><NA><NA>0.802(0.754 0.853)1.521.6(1.56 1.65)3.36
1중금속수은전혈㎍/L3.08(2.96 3.21)9.913.11(3.02 3.21)9.05<NA><NA><NA><NA><NA><NA>1.37(1.30 1.43)3.022.75(2.63 2.88)8.81
2중금속수은요㎍/L0.534(0.512 0.556)1.670.382(0.367 0.398)1.270.422(0.371 0.479)1.30.394(0.370 0.418)1.090.413(0.374 0.457)1.390.355(0.335 0.376)1.42
3중금속수은요㎍/g cr.0.611(0.588 0.635)1.7640.487(0.471 0.504)1.350.5(0.442 0.566)1.350.362(0.344 0.382)0.870.255(0.231 0.282)0.7330.412(0.386 0.440)1.39
4중금속카드뮴요㎍/L0.58(0.556 0.605)2.390.376(0.361 0.391)1.360.108(0.086 0.136)0.430.232(0.212 0.255)0.7350.289(0.264 0.316)0.9510.359(0.326 0.395)1.75
5중금속카드뮴요㎍/g cr.0.664(0.636 0.694)2.5690.496(0.477 0.514)1.540.125(0.100 0.155)0.4810.213(0.197 0.229)0.6190.183(0.166 0.202)0.5230.429(0.387 0.474)1.81
6다환방향족 탄화수소 대사체1-하이드록시피렌요㎍/L0.11(0.105 0.115)0.640.151(0.144 0.157)0.621<NA><NA>1.020.108(0.091 0.127)1.020.163(0.115 0.230)2.210.13(0.118 0.143)1.28
7다환방향족 탄화수소 대사체1-하이드록시피렌요㎍/g cr.0.132(0.126 0.137)0.60.199(0.191 0.207)0.652<NA><NA>0.950.1(0.085 0.118)0.8570.108(0.080 0.147)1.690.154(0.140 0.170)1.5
8다환방향족 탄화수소 대사체2-나프톨요㎍/L2.99(2.85 3.14)23.832.22(2.10 2.34)20.33.37(2.89 3.92)21.32.67(2.37 3.01)19.83.05(2.63 3.53)20.22.63(2.48 2.79)21.0
9다환방향족 탄화수소 대사체2-나프톨요㎍/g cr.3.65(3.50 3.81)21.143.07(2.93 3.23)20.64.03(3.48 4.68)24.72.49(2.25 2.75)20.21.97(1.69 2.29)13.23.16(2.99 3.33)18.8
분류(1)분류(2)분류(3)분류(4)2011_성인_기하평균2011_성인_기하평균 (95퍼센트 신뢰구간)2011_성인_95 백분위수2014_성인_기하평균2014_성인_기하평균 (95퍼센트 신뢰구간)2014_성인_95 백분위수2017_영유아_기하평균2017_영유아_기하평균 (95퍼센트 신뢰구간)2017_영유아_95 백분위수2017_초등학생_기하평균2017_초등학생_기하평균 (95퍼센트 신뢰구간)2017_초등학생_95 백분위수2017_중고등학생_기하평균2017_중고등학생_기하평균 (95퍼센트 신뢰구간)2017_중고등학생_95 백분위수2017_성인_기하평균2017_성인_기하평균 (95퍼센트 신뢰구간)2017_성인_95 백분위수
54휘발성 유기화합물 대사체페닐글리옥실산요mg/L0.215(0.206 0.226)0.940.155(0.145 0.165)0.719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
55휘발성 유기화합물 대사체페닐글리옥실산요mg/g cr.0.265(0.254 0.276)0.8920.214(0.201 0.228)0.72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56휘발성 유기화합물 대사체벤질머캅투르산요mg/L<NA><NA><NA><NA><NA><NA>10.6(9.31 12.2)120.07.39(6.69 8.16)36.75.66(5.00 6.40)27.14.63(4.28 5.02)27.9
57휘발성 유기화합물 대사체벤질머캅투르산요mg/g cr.<NA><NA><NA><NA><NA><NA>12.8(11.4 14.5)116.06.79(6.17 7.47)33.83.53(3.17 3.93)12.45.75(5.37 6.15)27.7
58니코틴 대사체코티닌 (전체)요mg/L11.3(9.8 12.9)2158.15.47(4.76 6.29)1701.01.05(0.913 1.20)4.81.2(1.05 1.38)5.843.04(2.50 3.70)85.25.59(4.80 6.50)1530.0
59니코틴 대사체코티닌 (전체)요mg/g cr.13.2(11.5 15.2)2358.37.3(6.29 8.47)1934.01.24(1.08 1.43)5.151.1(0.969 1.25)4.41.92(1.54 2.39)117.06.65(5.68 7.79)1788.0
60니코틴 대사체코티닌 (비흡연)요㎍/L2.61(2.4 2.9)83.51.38(1.25 1.52)34.2<NA><NA><NA><NA><NA><NA>2.59(2.24 3.00)16.41.87(1.65 2.52)75.6
61니코틴 대사체코티닌 (비흡연)요㎍/g cr.3.08(2.8 3.4)81.01.77(1.60 1.96)51.8<NA><NA><NA><NA><NA><NA>1.65(1.40 1.95)13.62.19(1.95 2.47)55.7
62니코틴 대사체코티닌 (흡연)요㎍/L990.8(920.5 1066.5)3203.1817.0(750 891)2472.0<NA><NA><NA><NA><NA><NA>370.0(193 708)1642.0524.0(393 700)2575.0
63니코틴 대사체코티닌 (흡연)요㎍/g cr.981.7(904 1066)3655.3897.0(822 979)3364.0<NA><NA><NA><NA><NA><NA>243.0(137 429)747.0502.0(363 693)3068.0