Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory57.5 B

Variable types

Categorical4
Numeric2

Dataset

Description경기도청소년수련원 적십자 응급처치교육 수료 현황
Author경기도청소년수련원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=RUTHKFHVM4F9HC8GYA2B32415918&infSeq=1

Alerts

연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
현원 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 현원 and 1 other fieldsHigh correlation
응급처치자격인원 is highly overall correlated with 현원 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-22 21:21:13.513448
Analysis finished2023-12-22 21:21:17.051108
Duration3.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
수련원
12 
야영장
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수련원 12
50.0%
야영장 12
50.0%

Length

2023-12-22T21:21:17.310630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:21:17.713444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수련원 12
50.0%
야영장 12
50.0%

현원
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.208333
Minimum10
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-22T21:21:18.386769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q115
median33.5
Q358
95-th percentile59
Maximum59
Range49
Interquartile range (IQR)43

Descriptive statistics

Standard deviation21.21726
Coefficient of variation (CV)0.60262039
Kurtosis-2.0897915
Mean35.208333
Median Absolute Deviation (MAD)20
Skewness0.026406156
Sum845
Variance450.1721
MonotonicityNot monotonic
2023-12-22T21:21:19.039590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17 5
20.8%
59 4
16.7%
58 3
12.5%
50 2
 
8.3%
12 2
 
8.3%
15 2
 
8.3%
51 1
 
4.2%
56 1
 
4.2%
52 1
 
4.2%
13 1
 
4.2%
Other values (2) 2
 
8.3%
ValueCountFrequency (%)
10 1
 
4.2%
12 2
 
8.3%
13 1
 
4.2%
14 1
 
4.2%
15 2
 
8.3%
17 5
20.8%
50 2
 
8.3%
51 1
 
4.2%
52 1
 
4.2%
56 1
 
4.2%
ValueCountFrequency (%)
59 4
16.7%
58 3
12.5%
56 1
 
4.2%
52 1
 
4.2%
51 1
 
4.2%
50 2
 
8.3%
17 5
20.8%
15 2
 
8.3%
14 1
 
4.2%
13 1
 
4.2%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 24
100.0%

Length

2023-12-22T21:21:19.749158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:21:20.081115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 24
100.0%

월
Real number (ℝ)

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-22T21:21:20.750244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q13.75
median6.5
Q39.25
95-th percentile11.85
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.5262987
Coefficient of variation (CV)0.54250749
Kurtosis-1.2156934
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum156
Variance12.434783
MonotonicityNot monotonic
2023-12-22T21:21:21.195631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
8.3%
2 2
8.3%
3 2
8.3%
4 2
8.3%
5 2
8.3%
6 2
8.3%
7 2
8.3%
8 2
8.3%
9 2
8.3%
10 2
8.3%
Other values (2) 4
16.7%
ValueCountFrequency (%)
1 2
8.3%
2 2
8.3%
3 2
8.3%
4 2
8.3%
5 2
8.3%
6 2
8.3%
7 2
8.3%
8 2
8.3%
9 2
8.3%
10 2
8.3%
ValueCountFrequency (%)
12 2
8.3%
11 2
8.3%
10 2
8.3%
9 2
8.3%
8 2
8.3%
7 2
8.3%
6 2
8.3%
5 2
8.3%
4 2
8.3%
3 2
8.3%

응급처치자격인원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2
8 
24
7 
4
5 
31
2 
5
2 

Length

Max length2
Median length1
Mean length1.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24
2nd row24
3rd row24
4th row24
5th row24

Common Values

ValueCountFrequency (%)
2 8
33.3%
24 7
29.2%
4 5
20.8%
31 2
 
8.3%
5 2
 
8.3%

Length

2023-12-22T21:21:21.963142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:21:22.558239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8
33.3%
24 7
29.2%
4 5
20.8%
31 2
 
8.3%
5 2
 
8.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-13
2nd row2023-12-13
3rd row2023-12-13
4th row2023-12-13
5th row2023-12-13

Common Values

ValueCountFrequency (%)
2023-12-13 24
100.0%

Length

2023-12-22T21:21:23.492272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:21:23.878171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-13 24
100.0%

Interactions

2023-12-22T21:21:15.112141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:21:14.083952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:21:15.441192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:21:14.677851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:21:24.112558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분현원월응급처치자격인원
구분1.0001.0000.0000.660
현원1.0001.0000.0000.620
월0.0000.0001.0000.728
응급처치자격인원0.6600.6200.7281.000
2023-12-22T21:21:24.490222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분응급처치자격인원
구분1.0000.733
응급처치자격인원0.7331.000
2023-12-22T21:21:24.743625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
현원월구분응급처치자격인원
현원1.0000.0400.9530.529
월0.0401.0000.0000.306
구분0.9530.0001.0000.733
응급처치자격인원0.5290.3060.7331.000

Missing values

2023-12-22T21:21:16.214524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:21:16.786716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분현원연도월응급처치자격인원데이터기준일자
0수련원5020231242023-12-13
1수련원5120232242023-12-13
2수련원5620233242023-12-13
3수련원5820234242023-12-13
4수련원5920235242023-12-13
5수련원5820236242023-12-13
6수련원5920237242023-12-13
7수련원592023822023-12-13
8수련원582023922023-12-13
9수련원5920231022023-12-13
구분현원연도월응급처치자격인원데이터기준일자
14야영장142023342023-12-13
15야영장152023442023-12-13
16야영장172023542023-12-13
17야영장172023652023-12-13
18야영장172023752023-12-13
19야영장172023822023-12-13
20야영장172023922023-12-13
21야영장1520231022023-12-13
22야영장1220231122023-12-13
23야영장1020231222023-12-13