Overview

Dataset statistics

Number of variables7
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory66.1 B

Variable types

Numeric7

Dataset

Description창원시 창원-i잉글리시와 관련된 신구 콘텐츠 맵핑 정보를 위한 정보입니다.(식별값, 이지스콘텐츠해당레벨시작유닛번호, 이지스콘텐츠해당레벨종료유닛번호, 영어나라콘텐츠해당레벨시작유닛번호, 영어나라콘텐츠해당레벨종료유닛번호, 순차레벨, 레벨결과값)
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15089065/fileData.do

Alerts

식별값 is highly overall correlated with 이지스콘텐츠해당레벨시작유닛번호 and 5 other fieldsHigh correlation
이지스콘텐츠해당레벨시작유닛번호 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
이지스콘텐츠해당레벨종료유닛번호 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
영어나라콘텐츠해당레벨시작유닛번호 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
영어나라콘텐츠해당레벨종료유닛번호 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
순차레벨 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
레벨결과값 is highly overall correlated with 식별값 and 5 other fieldsHigh correlation
식별값 has unique valuesUnique
영어나라콘텐츠해당레벨시작유닛번호 has unique valuesUnique
영어나라콘텐츠해당레벨종료유닛번호 has unique valuesUnique
순차레벨 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:56:26.911095
Analysis finished2023-12-12 12:56:32.353887
Duration5.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식별값
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:32.420133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T21:56:32.544218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

이지스콘텐츠해당레벨시작유닛번호
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.40476
Minimum1
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:32.667776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.8
Q1176.75
median375
Q3554
95-th percentile554
Maximum554
Range553
Interquartile range (IQR)377.25

Descriptive statistics

Standard deviation197.13745
Coefficient of variation (CV)0.57406731
Kurtosis-1.3893059
Mean343.40476
Median Absolute Deviation (MAD)179
Skewness-0.3548317
Sum14423
Variance38863.174
MonotonicityIncreasing
2023-12-12T21:56:32.783334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
554 13
31.0%
435 2
 
4.8%
1 1
 
2.4%
14 1
 
2.4%
531 1
 
2.4%
507 1
 
2.4%
483 1
 
2.4%
459 1
 
2.4%
411 1
 
2.4%
387 1
 
2.4%
Other values (19) 19
45.2%
ValueCountFrequency (%)
1 1
2.4%
14 1
2.4%
27 1
2.4%
43 1
2.4%
59 1
2.4%
74 1
2.4%
75 1
2.4%
99 1
2.4%
123 1
2.4%
147 1
2.4%
ValueCountFrequency (%)
554 13
31.0%
531 1
 
2.4%
507 1
 
2.4%
483 1
 
2.4%
459 1
 
2.4%
435 2
 
4.8%
411 1
 
2.4%
387 1
 
2.4%
363 1
 
2.4%
339 1
 
2.4%

이지스콘텐츠해당레벨종료유닛번호
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.97619
Minimum13
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:32.896135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile42.8
Q1194
median398
Q3554
95-th percentile554
Maximum554
Range541
Interquartile range (IQR)360

Descriptive statistics

Standard deviation192.40335
Coefficient of variation (CV)0.54049499
Kurtosis-1.3391657
Mean355.97619
Median Absolute Deviation (MAD)156
Skewness-0.41856025
Sum14951
Variance37019.048
MonotonicityIncreasing
2023-12-12T21:56:33.003414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
554 14
33.3%
314 2
 
4.8%
74 2
 
4.8%
434 2
 
4.8%
194 2
 
4.8%
13 1
 
2.4%
530 1
 
2.4%
506 1
 
2.4%
482 1
 
2.4%
458 1
 
2.4%
Other values (15) 15
35.7%
ValueCountFrequency (%)
13 1
2.4%
26 1
2.4%
42 1
2.4%
58 1
2.4%
74 2
4.8%
98 1
2.4%
122 1
2.4%
146 1
2.4%
170 1
2.4%
194 2
4.8%
ValueCountFrequency (%)
554 14
33.3%
530 1
 
2.4%
506 1
 
2.4%
482 1
 
2.4%
458 1
 
2.4%
434 2
 
4.8%
410 1
 
2.4%
386 1
 
2.4%
362 1
 
2.4%
338 1
 
2.4%

영어나라콘텐츠해당레벨시작유닛번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.16667
Minimum1
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:33.130944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.3
Q180
median157
Q3218.5
95-th percentile267.7
Maximum280
Range279
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation83.399104
Coefficient of variation (CV)0.55910014
Kurtosis-1.1649083
Mean149.16667
Median Absolute Deviation (MAD)70
Skewness-0.17772264
Sum6265
Variance6955.4106
MonotonicityStrictly increasing
2023-12-12T21:56:33.256718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
226 1
 
2.4%
178 1
 
2.4%
184 1
 
2.4%
190 1
 
2.4%
196 1
 
2.4%
202 1
 
2.4%
208 1
 
2.4%
214 1
 
2.4%
220 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
9 1
2.4%
17 1
2.4%
23 1
2.4%
32 1
2.4%
39 1
2.4%
46 1
2.4%
54 1
2.4%
62 1
2.4%
70 1
2.4%
ValueCountFrequency (%)
280 1
2.4%
274 1
2.4%
268 1
2.4%
262 1
2.4%
256 1
2.4%
250 1
2.4%
244 1
2.4%
238 1
2.4%
232 1
2.4%
226 1
2.4%

영어나라콘텐츠해당레벨종료유닛번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.09524
Minimum8
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:33.451946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile22.45
Q187
median162
Q3223.5
95-th percentile272.7
Maximum291
Range283
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation82.875696
Coefficient of variation (CV)0.53435358
Kurtosis-1.1383168
Mean155.09524
Median Absolute Deviation (MAD)69
Skewness-0.16763876
Sum6514
Variance6868.381
MonotonicityStrictly increasing
2023-12-12T21:56:33.611536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8 1
 
2.4%
231 1
 
2.4%
183 1
 
2.4%
189 1
 
2.4%
195 1
 
2.4%
201 1
 
2.4%
207 1
 
2.4%
213 1
 
2.4%
219 1
 
2.4%
225 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
8 1
2.4%
16 1
2.4%
22 1
2.4%
31 1
2.4%
38 1
2.4%
45 1
2.4%
53 1
2.4%
61 1
2.4%
69 1
2.4%
77 1
2.4%
ValueCountFrequency (%)
291 1
2.4%
279 1
2.4%
273 1
2.4%
267 1
2.4%
261 1
2.4%
255 1
2.4%
249 1
2.4%
243 1
2.4%
237 1
2.4%
231 1
2.4%

순차레벨
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:34.101478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-12T21:56:34.286730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

레벨결과값
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:56:34.421480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0242433
Coefficient of variation (CV)0.50606083
Kurtosis-1.2549679
Mean4
Median Absolute Deviation (MAD)2
Skewness0
Sum168
Variance4.097561
MonotonicityIncreasing
2023-12-12T21:56:34.554114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6
14.3%
2 6
14.3%
3 6
14.3%
4 6
14.3%
5 6
14.3%
6 6
14.3%
7 6
14.3%
ValueCountFrequency (%)
1 6
14.3%
2 6
14.3%
3 6
14.3%
4 6
14.3%
5 6
14.3%
6 6
14.3%
7 6
14.3%
ValueCountFrequency (%)
7 6
14.3%
6 6
14.3%
5 6
14.3%
4 6
14.3%
3 6
14.3%
2 6
14.3%
1 6
14.3%

Interactions

2023-12-12T21:56:31.515375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.114145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.021861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.743767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.450289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.169808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.858124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.599669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.184323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.101346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.837021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.545192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.275183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.964214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.682052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.287315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.194124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.939206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.638528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.362963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.057984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.765926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.381391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.281642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.047636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.737597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.478168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.152141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.863675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.476856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.409367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.139905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.824296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.576871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.256690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.960684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.571944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.520356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.240971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.927130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.672303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.340193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:32.030270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:27.659411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:28.614215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:29.341133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.030854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:30.754859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:56:31.424062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:56:34.666569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식별값이지스콘텐츠해당레벨시작유닛번호이지스콘텐츠해당레벨종료유닛번호영어나라콘텐츠해당레벨시작유닛번호영어나라콘텐츠해당레벨종료유닛번호순차레벨레벨결과값
식별값1.0000.9540.9600.9730.9741.0000.932
이지스콘텐츠해당레벨시작유닛번호0.9541.0000.9770.9700.9760.9540.849
이지스콘텐츠해당레벨종료유닛번호0.9600.9771.0000.9720.9690.9600.891
영어나라콘텐츠해당레벨시작유닛번호0.9730.9700.9721.0000.9970.9730.935
영어나라콘텐츠해당레벨종료유닛번호0.9740.9760.9690.9971.0000.9740.925
순차레벨1.0000.9540.9600.9730.9741.0000.932
레벨결과값0.9320.8490.8910.9350.9250.9321.000
2023-12-12T21:56:34.817201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식별값이지스콘텐츠해당레벨시작유닛번호이지스콘텐츠해당레벨종료유닛번호영어나라콘텐츠해당레벨시작유닛번호영어나라콘텐츠해당레벨종료유닛번호순차레벨레벨결과값
식별값1.0000.9850.9811.0001.0001.0000.990
이지스콘텐츠해당레벨시작유닛번호0.9851.0000.9960.9850.9850.9850.978
이지스콘텐츠해당레벨종료유닛번호0.9810.9961.0000.9810.9810.9810.973
영어나라콘텐츠해당레벨시작유닛번호1.0000.9850.9811.0001.0001.0000.990
영어나라콘텐츠해당레벨종료유닛번호1.0000.9850.9811.0001.0001.0000.990
순차레벨1.0000.9850.9811.0001.0001.0000.990
레벨결과값0.9900.9780.9730.9900.9900.9901.000

Missing values

2023-12-12T21:56:32.178199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:56:32.309186image/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

식별값이지스콘텐츠해당레벨시작유닛번호이지스콘텐츠해당레벨종료유닛번호영어나라콘텐츠해당레벨시작유닛번호영어나라콘텐츠해당레벨종료유닛번호순차레벨레벨결과값
011131811
12142691621
232742172231
344358233141
455974323851
567474394561
677598465372
7899122546182
89123146626992
9101471707077102
식별값이지스콘텐츠해당레벨시작유닛번호이지스콘텐츠해당레벨종료유닛번호영어나라콘텐츠해당레벨시작유닛번호영어나라콘텐츠해당레벨종료유닛번호순차레벨레벨결과값
3233554554226231336
3334554554232237346
3435554554238243356
3536554554244249366
3637554554250255377
3738554554256261387
3839554554262267397
3940554554268273407
4041554554274279417
4142554554280291427