Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory68.3 B

Variable types

Text1
Numeric6

Dataset

Description국립항공박물관의 2022년 1-5월 관람객 집계 결과입니다.
Author국립항공박물관
URLhttps://www.data.go.kr/data/15098705/fileData.do

Alerts

총입장인원 is highly overall correlated with 블랙이글스 and 4 other fieldsHigh correlation
블랙이글스 is highly overall correlated with 총입장인원 and 4 other fieldsHigh correlation
조종관제 is highly overall correlated with 총입장인원 and 4 other fieldsHigh correlation
기내훈련 is highly overall correlated with 총입장인원 and 4 other fieldsHigh correlation
어린이공항 is highly overall correlated with 총입장인원 and 4 other fieldsHigh correlation
항공레포츠 is highly overall correlated with 총입장인원 and 4 other fieldsHigh correlation
연월 has unique valuesUnique
총입장인원 has unique valuesUnique
조종관제 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:27:29.978874
Analysis finished2023-12-12 22:27:33.448461
Duration3.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T07:27:33.555930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters441
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row2022-01-04~2022-01-09
2nd row2022-01-11~2022-01-16
3rd row2022-01-18~2022-01-23
4th row2022-01-25~2022-01-30
5th row2022-01-31~2022-02-06
ValueCountFrequency (%)
2022-01-04~2022-01-09 1
 
4.8%
2022-03-22~2022-03-27 1
 
4.8%
2022-05-17~2022-05-22 1
 
4.8%
2022-05-10~2022-05-15 1
 
4.8%
2022-05-03~2022-05-08 1
 
4.8%
2022-04-26~2022-05-01 1
 
4.8%
2022-04-19~2022-04-24 1
 
4.8%
2022-04-12~2022-04-17 1
 
4.8%
2022-04-05~2022-04-10 1
 
4.8%
2022-03-29~2022-04-03 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T07:27:33.816753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 151
34.2%
0 101
22.9%
- 84
19.0%
1 27
 
6.1%
~ 21
 
4.8%
3 16
 
3.6%
5 15
 
3.4%
4 11
 
2.5%
9 4
 
0.9%
8 4
 
0.9%
Other values (2) 7
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
76.2%
Dash Punctuation 84
 
19.0%
Math Symbol 21
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 151
44.9%
0 101
30.1%
1 27
 
8.0%
3 16
 
4.8%
5 15
 
4.5%
4 11
 
3.3%
9 4
 
1.2%
8 4
 
1.2%
7 4
 
1.2%
6 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 151
34.2%
0 101
22.9%
- 84
19.0%
1 27
 
6.1%
~ 21
 
4.8%
3 16
 
3.6%
5 15
 
3.4%
4 11
 
2.5%
9 4
 
0.9%
8 4
 
0.9%
Other values (2) 7
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 151
34.2%
0 101
22.9%
- 84
19.0%
1 27
 
6.1%
~ 21
 
4.8%
3 16
 
3.6%
5 15
 
3.4%
4 11
 
2.5%
9 4
 
0.9%
8 4
 
0.9%
Other values (2) 7
 
1.6%

총입장인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4769.8095
Minimum3373
Maximum6692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:33.919124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3373
5-th percentile3639
Q13918
median4780
Q35507
95-th percentile6356
Maximum6692
Range3319
Interquartile range (IQR)1589

Descriptive statistics

Standard deviation931.32243
Coefficient of variation (CV)0.19525359
Kurtosis-0.69417483
Mean4769.8095
Median Absolute Deviation (MAD)826
Skewness0.42332677
Sum100166
Variance867361.46
MonotonicityNot monotonic
2023-12-13T07:27:34.364822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4919 1
 
4.8%
5606 1
 
4.8%
4517 1
 
4.8%
3916 1
 
4.8%
3712 1
 
4.8%
6356 1
 
4.8%
4296 1
 
4.8%
3918 1
 
4.8%
3639 1
 
4.8%
3373 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
3373 1
4.8%
3639 1
4.8%
3712 1
4.8%
3896 1
4.8%
3916 1
4.8%
3918 1
4.8%
4084 1
4.8%
4213 1
4.8%
4296 1
4.8%
4517 1
4.8%
ValueCountFrequency (%)
6692 1
4.8%
6356 1
4.8%
5811 1
4.8%
5664 1
4.8%
5606 1
4.8%
5507 1
4.8%
5247 1
4.8%
5077 1
4.8%
4943 1
4.8%
4919 1
4.8%

블랙이글스
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.38095
Minimum353
Maximum744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:34.545671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum353
5-th percentile354
Q1377
median510
Q3640
95-th percentile700
Maximum744
Range391
Interquartile range (IQR)263

Descriptive statistics

Standard deviation137.62067
Coefficient of variation (CV)0.26650996
Kurtosis-1.6229267
Mean516.38095
Median Absolute Deviation (MAD)133
Skewness0.167621
Sum10844
Variance18939.448
MonotonicityNot monotonic
2023-12-13T07:27:34.666733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
354 2
 
9.5%
597 1
 
4.8%
376 1
 
4.8%
450 1
 
4.8%
434 1
 
4.8%
355 1
 
4.8%
744 1
 
4.8%
441 1
 
4.8%
388 1
 
4.8%
377 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
353 1
4.8%
354 2
9.5%
355 1
4.8%
376 1
4.8%
377 1
4.8%
388 1
4.8%
434 1
4.8%
441 1
4.8%
450 1
4.8%
510 1
4.8%
ValueCountFrequency (%)
744 1
4.8%
700 1
4.8%
677 1
4.8%
671 1
4.8%
670 1
4.8%
640 1
4.8%
624 1
4.8%
609 1
4.8%
597 1
4.8%
520 1
4.8%

조종관제
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.33333
Minimum128
Maximum361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:34.786933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile134
Q1169
median201
Q3289
95-th percentile331
Maximum361
Range233
Interquartile range (IQR)120

Descriptive statistics

Standard deviation71.063587
Coefficient of variation (CV)0.31537095
Kurtosis-1.2457909
Mean225.33333
Median Absolute Deviation (MAD)60
Skewness0.32512992
Sum4732
Variance5050.0333
MonotonicityNot monotonic
2023-12-13T07:27:34.919092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
274 1
 
4.8%
361 1
 
4.8%
182 1
 
4.8%
173 1
 
4.8%
152 1
 
4.8%
292 1
 
4.8%
196 1
 
4.8%
183 1
 
4.8%
128 1
 
4.8%
169 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
128 1
4.8%
134 1
4.8%
149 1
4.8%
152 1
4.8%
158 1
4.8%
169 1
4.8%
173 1
4.8%
182 1
4.8%
183 1
4.8%
196 1
4.8%
ValueCountFrequency (%)
361 1
4.8%
331 1
4.8%
304 1
4.8%
302 1
4.8%
292 1
4.8%
289 1
4.8%
276 1
4.8%
274 1
4.8%
261 1
4.8%
217 1
4.8%

기내훈련
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.95238
Minimum459
Maximum1177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:35.019470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459
5-th percentile478
Q1513
median632
Q3944
95-th percentile1023
Maximum1177
Range718
Interquartile range (IQR)431

Descriptive statistics

Standard deviation231.37988
Coefficient of variation (CV)0.31654576
Kurtosis-1.3849239
Mean730.95238
Median Absolute Deviation (MAD)154
Skewness0.39273701
Sum15350
Variance53536.648
MonotonicityNot monotonic
2023-12-13T07:27:35.139810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1023 2
 
9.5%
964 1
 
4.8%
506 1
 
4.8%
531 1
 
4.8%
632 1
 
4.8%
478 1
 
4.8%
913 1
 
4.8%
625 1
 
4.8%
573 1
 
4.8%
482 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
459 1
4.8%
478 1
4.8%
482 1
4.8%
489 1
4.8%
506 1
4.8%
513 1
4.8%
531 1
4.8%
573 1
4.8%
625 1
4.8%
628 1
4.8%
ValueCountFrequency (%)
1177 1
4.8%
1023 2
9.5%
988 1
4.8%
964 1
4.8%
944 1
4.8%
917 1
4.8%
913 1
4.8%
827 1
4.8%
658 1
4.8%
632 1
4.8%

어린이공항
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.14286
Minimum234
Maximum531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:35.270728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum234
5-th percentile242
Q1298
median339
Q3447
95-th percentile514
Maximum531
Range297
Interquartile range (IQR)149

Descriptive statistics

Standard deviation94.714986
Coefficient of variation (CV)0.25588765
Kurtosis-1.3347953
Mean370.14286
Median Absolute Deviation (MAD)76
Skewness0.22590355
Sum7773
Variance8970.9286
MonotonicityNot monotonic
2023-12-13T07:27:35.399340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
311 2
 
9.5%
531 1
 
4.8%
264 1
 
4.8%
298 1
 
4.8%
339 1
 
4.8%
234 1
 
4.8%
391 1
 
4.8%
299 1
 
4.8%
270 1
 
4.8%
242 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
234 1
4.8%
242 1
4.8%
264 1
4.8%
270 1
4.8%
290 1
4.8%
298 1
4.8%
299 1
4.8%
311 2
9.5%
329 1
4.8%
339 1
4.8%
ValueCountFrequency (%)
531 1
4.8%
514 1
4.8%
505 1
4.8%
462 1
4.8%
458 1
4.8%
447 1
4.8%
435 1
4.8%
428 1
4.8%
415 1
4.8%
391 1
4.8%

항공레포츠
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.52381
Minimum154
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T07:27:35.521609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum154
5-th percentile156
Q1181
median240
Q3336
95-th percentile400
Maximum429
Range275
Interquartile range (IQR)155

Descriptive statistics

Standard deviation92.153469
Coefficient of variation (CV)0.351029
Kurtosis-1.4152433
Mean262.52381
Median Absolute Deviation (MAD)79
Skewness0.34326893
Sum5513
Variance8492.2619
MonotonicityNot monotonic
2023-12-13T07:27:35.632496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
336 2
 
9.5%
167 1
 
4.8%
201 1
 
4.8%
181 1
 
4.8%
199 1
 
4.8%
357 1
 
4.8%
234 1
 
4.8%
186 1
 
4.8%
154 1
 
4.8%
163 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
154 1
4.8%
156 1
4.8%
161 1
4.8%
163 1
4.8%
167 1
4.8%
181 1
4.8%
186 1
4.8%
199 1
4.8%
201 1
4.8%
234 1
4.8%
ValueCountFrequency (%)
429 1
4.8%
400 1
4.8%
377 1
4.8%
367 1
4.8%
357 1
4.8%
336 2
9.5%
324 1
4.8%
299 1
4.8%
246 1
4.8%
240 1
4.8%

Interactions

2023-12-13T07:27:32.795148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.184563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.702884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.245554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.800852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.351291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.879683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.260387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.786183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.329679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.913549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.422280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.966174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.355332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.875513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.435355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.021327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.497351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:33.064783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.447014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.958194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.517318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.107361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.566015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:33.142285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.531263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.056903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.616497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.199143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.639824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:33.214979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:30.614809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.155604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:31.702794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.273188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:32.715477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:27:35.735508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월총입장인원블랙이글스조종관제기내훈련어린이공항항공레포츠
연월1.0001.0001.0001.0001.0001.0001.000
총입장인원1.0001.0000.7380.0000.0000.7520.598
블랙이글스1.0000.7381.0000.6980.8760.6500.757
조종관제1.0000.0000.6981.0000.8870.6420.982
기내훈련1.0000.0000.8760.8871.0000.5720.887
어린이공항1.0000.7520.6500.6420.5721.0000.414
항공레포츠1.0000.5980.7570.9820.8870.4141.000
2023-12-13T07:27:35.852395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총입장인원블랙이글스조종관제기내훈련어린이공항항공레포츠
총입장인원1.0000.9170.8960.8130.7650.868
블랙이글스0.9171.0000.9440.8910.7960.910
조종관제0.8960.9441.0000.9590.8390.967
기내훈련0.8130.8910.9591.0000.9140.933
어린이공항0.7650.7960.8390.9141.0000.835
항공레포츠0.8680.9100.9670.9330.8351.000

Missing values

2023-12-13T07:27:33.316438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:27:33.412229image/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

연월총입장인원블랙이글스조종관제기내훈련어린이공항항공레포츠
02022-01-04~2022-01-094919597274964531336
12022-01-11~2022-01-1656066703611177514429
22022-01-18~2022-01-2356646713311023447400
32022-01-25~2022-01-3052476093021023458367
42022-01-31~2022-02-066692700304988435377
52022-02-08~2022-02-134780624261827428299
62022-02-15~2022-02-205077640276917462336
72022-02-22~2022-02-275811677289944505324
82022-03-01~2022-03-055507520201628415240
92022-03-08~2022-03-134943510217658329246
연월총입장인원블랙이글스조종관제기내훈련어린이공항항공레포츠
112022-03-22~2022-03-274213376158489264156
122022-03-29~2022-04-033896354134506311167
132022-04-05~2022-04-103373377169513242163
142022-04-12~2022-04-173639354128482270154
152022-04-19~2022-04-243918388183573311186
162022-04-26~2022-05-014296441196625299234
172022-05-03~2022-05-086356744292913391357
182022-05-10~2022-05-153712355152478234199
192022-05-17~2022-05-223916434173632339181
202022-05-24~2022-05-294517450182531298201