Overview

Dataset statistics

Number of variables21
Number of observations367
Missing cells2201
Missing cells (%)28.6%
Duplicate rows2
Duplicate rows (%)0.5%
Total size in memory65.7 KiB
Average record size in memory183.4 B

Variable types

Unsupported8
Numeric11
Categorical2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15386/F/1/datasetView.do

Alerts

Dataset has 2 (0.5%) duplicate rowsDuplicates
Unnamed: 18 is highly imbalanced (93.2%)Imbalance
Unnamed: 20 is highly imbalanced (95.1%)Imbalance
2015년 시간대별 입장객 현황 has 354 (96.5%) missing valuesMissing
Unnamed: 12 has 4 (1.1%) missing valuesMissing
Unnamed: 13 has 119 (32.4%) missing valuesMissing
Unnamed: 14 has 279 (76.0%) missing valuesMissing
Unnamed: 15 has 337 (91.8%) missing valuesMissing
Unnamed: 16 has 363 (98.9%) missing valuesMissing
Unnamed: 17 has 367 (100.0%) missing valuesMissing
Unnamed: 19 has 367 (100.0%) missing valuesMissing
2015년 시간대별 입장객 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 has 103 (28.1%) zerosZeros
Unnamed: 14 has 20 (5.4%) zerosZeros
Unnamed: 15 has 16 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-11 09:02:08.010584
Analysis finished2023-12-11 09:02:08.166814
Duration0.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2015년 시간대별 입장객 현황
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing354
Missing (%)96.5%
Memory size3.0 KiB

Unnamed: 1
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.3%
Memory size3.0 KiB

Unnamed: 2
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.3%
Memory size3.0 KiB

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.3%
Memory size3.0 KiB

Unnamed: 4
Real number (ℝ)

Distinct292
Distinct (%)79.8%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean554.04372
Minimum9
Maximum4723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:08.244284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile46.25
Q1109.25
median220.5
Q3667.75
95-th percentile2196.75
Maximum4723
Range4714
Interquartile range (IQR)558.5

Descriptive statistics

Standard deviation772.49499
Coefficient of variation (CV)1.3942853
Kurtosis7.1998184
Mean554.04372
Median Absolute Deviation (MAD)152.5
Skewness2.553833
Sum202780
Variance596748.51
MonotonicityNot monotonic
2023-12-11T18:02:08.394447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 5
 
1.4%
58 5
 
1.4%
116 4
 
1.1%
40 4
 
1.1%
50 3
 
0.8%
150 3
 
0.8%
92 3
 
0.8%
158 3
 
0.8%
175 3
 
0.8%
68 3
 
0.8%
Other values (282) 330
89.9%
ValueCountFrequency (%)
9 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
16 1
 
0.3%
27 1
 
0.3%
29 1
 
0.3%
31 1
 
0.3%
37 2
0.5%
38 2
0.5%
40 4
1.1%
ValueCountFrequency (%)
4723 1
0.3%
4011 1
0.3%
3912 1
0.3%
3877 1
0.3%
3777 1
0.3%
3459 1
0.3%
3441 1
0.3%
3418 1
0.3%
3222 1
0.3%
3142 1
0.3%

Unnamed: 5
Real number (ℝ)

Distinct332
Distinct (%)90.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1276.7678
Minimum10
Maximum18542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:08.547456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile273.25
Q1459
median705
Q31597
95-th percentile4001.5
Maximum18542
Range18532
Interquartile range (IQR)1138

Descriptive statistics

Standard deviation1490.0979
Coefficient of variation (CV)1.1670861
Kurtosis49.111857
Mean1276.7678
Median Absolute Deviation (MAD)335
Skewness5.0671783
Sum467297
Variance2220391.9
MonotonicityNot monotonic
2023-12-11T18:02:08.694572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
475 3
 
0.8%
556 2
 
0.5%
424 2
 
0.5%
369 2
 
0.5%
546 2
 
0.5%
513 2
 
0.5%
383 2
 
0.5%
427 2
 
0.5%
303 2
 
0.5%
405 2
 
0.5%
Other values (322) 345
94.0%
ValueCountFrequency (%)
10 1
0.3%
127 1
0.3%
141 1
0.3%
150 1
0.3%
151 1
0.3%
169 1
0.3%
177 1
0.3%
200 1
0.3%
202 1
0.3%
204 2
0.5%
ValueCountFrequency (%)
18542 1
0.3%
5644 1
0.3%
5460 1
0.3%
5356 1
0.3%
5151 1
0.3%
5090 1
0.3%
4692 1
0.3%
4664 1
0.3%
4597 1
0.3%
4574 1
0.3%

Unnamed: 6
Real number (ℝ)

Distinct330
Distinct (%)90.2%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1309.8333
Minimum11
Maximum32940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:08.856850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile159.25
Q1319.25
median579
Q31471.75
95-th percentile4693
Maximum32940
Range32929
Interquartile range (IQR)1152.5

Descriptive statistics

Standard deviation2224.9651
Coefficient of variation (CV)1.6986627
Kurtosis112.37109
Mean1309.8333
Median Absolute Deviation (MAD)351
Skewness8.5196969
Sum479399
Variance4950469.5
MonotonicityNot monotonic
2023-12-11T18:02:09.004979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238 3
 
0.8%
443 2
 
0.5%
302 2
 
0.5%
265 2
 
0.5%
693 2
 
0.5%
998 2
 
0.5%
161 2
 
0.5%
107 2
 
0.5%
227 2
 
0.5%
109 2
 
0.5%
Other values (320) 345
94.0%
ValueCountFrequency (%)
11 1
0.3%
63 1
0.3%
107 2
0.5%
109 2
0.5%
115 1
0.3%
118 2
0.5%
119 1
0.3%
121 1
0.3%
128 1
0.3%
131 2
0.5%
ValueCountFrequency (%)
32940 1
0.3%
10542 1
0.3%
6562 1
0.3%
6281 1
0.3%
6246 1
0.3%
5790 1
0.3%
5691 1
0.3%
5672 1
0.3%
5408 1
0.3%
5404 1
0.3%

Unnamed: 7
Real number (ℝ)

Distinct320
Distinct (%)87.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1036.429
Minimum-48
Maximum10367
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.3%
Memory size3.4 KiB
2023-12-11T18:02:09.394577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-48
5-th percentile51.75
Q1190
median458
Q3991.75
95-th percentile4929.25
Maximum10367
Range10415
Interquartile range (IQR)801.75

Descriptive statistics

Standard deviation1561.6246
Coefficient of variation (CV)1.5067358
Kurtosis7.1031494
Mean1036.429
Median Absolute Deviation (MAD)324.5
Skewness2.6031235
Sum379333
Variance2438671.5
MonotonicityNot monotonic
2023-12-11T18:02:09.538288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 3
 
0.8%
136 3
 
0.8%
408 3
 
0.8%
320 3
 
0.8%
128 3
 
0.8%
137 3
 
0.8%
54 3
 
0.8%
190 2
 
0.5%
71 2
 
0.5%
248 2
 
0.5%
Other values (310) 339
92.4%
ValueCountFrequency (%)
-48 1
 
0.3%
12 3
0.8%
18 1
 
0.3%
22 1
 
0.3%
25 1
 
0.3%
29 2
0.5%
30 1
 
0.3%
31 2
0.5%
44 2
0.5%
47 1
 
0.3%
ValueCountFrequency (%)
10367 1
0.3%
7550 1
0.3%
6948 1
0.3%
6816 1
0.3%
6495 1
0.3%
6477 1
0.3%
6400 1
0.3%
6306 1
0.3%
6229 1
0.3%
5983 1
0.3%

Unnamed: 8
Real number (ℝ)

Distinct309
Distinct (%)84.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1089.6694
Minimum4
Maximum21042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:09.678752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile65.25
Q1207
median434.5
Q31010.25
95-th percentile5146.75
Maximum21042
Range21038
Interquartile range (IQR)803.25

Descriptive statistics

Standard deviation1885.6345
Coefficient of variation (CV)1.7304648
Kurtosis36.128448
Mean1089.6694
Median Absolute Deviation (MAD)285.5
Skewness4.6688945
Sum398819
Variance3555617.6
MonotonicityNot monotonic
2023-12-11T18:02:09.820172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
373 3
 
0.8%
329 3
 
0.8%
119 3
 
0.8%
182 3
 
0.8%
104 3
 
0.8%
176 3
 
0.8%
262 2
 
0.5%
681 2
 
0.5%
353 2
 
0.5%
321 2
 
0.5%
Other values (299) 340
92.6%
ValueCountFrequency (%)
4 1
0.3%
13 1
0.3%
20 1
0.3%
23 1
0.3%
27 1
0.3%
30 1
0.3%
31 2
0.5%
33 1
0.3%
34 1
0.3%
40 2
0.5%
ValueCountFrequency (%)
21042 1
0.3%
8452 1
0.3%
8422 1
0.3%
8023 1
0.3%
6773 1
0.3%
6762 1
0.3%
6510 1
0.3%
6412 1
0.3%
6356 1
0.3%
6161 1
0.3%

Unnamed: 9
Real number (ℝ)

Distinct321
Distinct (%)87.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1045.3989
Minimum12
Maximum8771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:10.003845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile63
Q1201.5
median446.5
Q3984.75
95-th percentile5100.25
Maximum8771
Range8759
Interquartile range (IQR)783.25

Descriptive statistics

Standard deviation1547.6084
Coefficient of variation (CV)1.4803998
Kurtosis5.5912748
Mean1045.3989
Median Absolute Deviation (MAD)289.5
Skewness2.4439266
Sum382616
Variance2395091.7
MonotonicityNot monotonic
2023-12-11T18:02:10.144080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 4
 
1.1%
14 3
 
0.8%
192 3
 
0.8%
324 3
 
0.8%
223 3
 
0.8%
687 2
 
0.5%
103 2
 
0.5%
142 2
 
0.5%
109 2
 
0.5%
833 2
 
0.5%
Other values (311) 340
92.6%
ValueCountFrequency (%)
12 1
 
0.3%
13 1
 
0.3%
14 3
0.8%
25 1
 
0.3%
30 1
 
0.3%
32 1
 
0.3%
34 1
 
0.3%
36 1
 
0.3%
41 1
 
0.3%
43 2
0.5%
ValueCountFrequency (%)
8771 1
0.3%
7699 1
0.3%
7614 1
0.3%
6798 1
0.3%
6443 1
0.3%
6080 1
0.3%
5971 1
0.3%
5932 1
0.3%
5727 1
0.3%
5659 1
0.3%

Unnamed: 10
Real number (ℝ)

Distinct310
Distinct (%)84.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean808.37432
Minimum5
Maximum7127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:10.292917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile39.5
Q1144
median345.5
Q3728.25
95-th percentile3646
Maximum7127
Range7122
Interquartile range (IQR)584.25

Descriptive statistics

Standard deviation1226.9543
Coefficient of variation (CV)1.5178047
Kurtosis7.2838497
Mean808.37432
Median Absolute Deviation (MAD)227
Skewness2.619976
Sum295865
Variance1505417
MonotonicityNot monotonic
2023-12-11T18:02:10.453312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237 4
 
1.1%
304 3
 
0.8%
416 3
 
0.8%
46 3
 
0.8%
99 3
 
0.8%
267 3
 
0.8%
246 3
 
0.8%
33 3
 
0.8%
380 3
 
0.8%
144 3
 
0.8%
Other values (300) 335
91.3%
ValueCountFrequency (%)
5 1
0.3%
13 1
0.3%
14 1
0.3%
15 2
0.5%
16 1
0.3%
17 1
0.3%
18 1
0.3%
21 1
0.3%
23 1
0.3%
25 1
0.3%
ValueCountFrequency (%)
7127 1
0.3%
7067 1
0.3%
6932 1
0.3%
5871 1
0.3%
5473 1
0.3%
4754 1
0.3%
4664 1
0.3%
4631 1
0.3%
4588 1
0.3%
4532 1
0.3%

Unnamed: 11
Real number (ℝ)

Distinct278
Distinct (%)76.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean471.36885
Minimum3
Maximum4952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:10.656060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile17.25
Q163
median199.5
Q3423.75
95-th percentile1829.25
Maximum4952
Range4949
Interquartile range (IQR)360.75

Descriptive statistics

Standard deviation749.54371
Coefficient of variation (CV)1.5901426
Kurtosis10.586275
Mean471.36885
Median Absolute Deviation (MAD)151.5
Skewness3.000155
Sum172521
Variance561815.77
MonotonicityNot monotonic
2023-12-11T18:02:10.822845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 5
 
1.4%
25 4
 
1.1%
4 4
 
1.1%
37 3
 
0.8%
148 3
 
0.8%
94 3
 
0.8%
43 3
 
0.8%
47 3
 
0.8%
40 3
 
0.8%
50 3
 
0.8%
Other values (268) 332
90.5%
ValueCountFrequency (%)
3 1
 
0.3%
4 4
1.1%
5 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
10 3
0.8%
12 1
 
0.3%
13 1
 
0.3%
ValueCountFrequency (%)
4952 1
0.3%
4632 1
0.3%
4331 1
0.3%
3660 1
0.3%
3570 1
0.3%
3432 1
0.3%
3308 1
0.3%
3303 1
0.3%
3177 1
0.3%
2783 1
0.3%

Unnamed: 12
Real number (ℝ)

MISSING  ZEROS 

Distinct196
Distinct (%)54.0%
Missing4
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean184.97245
Minimum-41
Maximum3302
Zeros103
Zeros (%)28.1%
Negative1
Negative (%)0.3%
Memory size3.4 KiB
2023-12-11T18:02:10.973046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-41
5-th percentile0
Q10
median65
Q3223
95-th percentile720.9
Maximum3302
Range3343
Interquartile range (IQR)223

Descriptive statistics

Standard deviation366.57794
Coefficient of variation (CV)1.9817975
Kurtosis34.651432
Mean184.97245
Median Absolute Deviation (MAD)65
Skewness5.1136549
Sum67145
Variance134379.39
MonotonicityNot monotonic
2023-12-11T18:02:11.118276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103
28.1%
2 8
 
2.2%
10 5
 
1.4%
15 3
 
0.8%
80 3
 
0.8%
30 3
 
0.8%
66 3
 
0.8%
99 3
 
0.8%
82 3
 
0.8%
59 3
 
0.8%
Other values (186) 226
61.6%
(Missing) 4
 
1.1%
ValueCountFrequency (%)
-41 1
 
0.3%
0 103
28.1%
2 8
 
2.2%
4 2
 
0.5%
5 1
 
0.3%
6 3
 
0.8%
7 1
 
0.3%
8 2
 
0.5%
9 1
 
0.3%
10 5
 
1.4%
ValueCountFrequency (%)
3302 1
0.3%
3061 1
0.3%
2747 1
0.3%
2536 1
0.3%
1155 1
0.3%
1139 1
0.3%
1098 1
0.3%
988 1
0.3%
983 1
0.3%
941 1
0.3%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)32.4%
Memory size3.0 KiB

Unnamed: 14
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)70.5%
Missing279
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean55.284091
Minimum-8
Maximum380
Zeros20
Zeros (%)5.4%
Negative1
Negative (%)0.3%
Memory size3.4 KiB
2023-12-11T18:02:11.295092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8
5-th percentile0
Q15.5
median37
Q370.75
95-th percentile187.85
Maximum380
Range388
Interquartile range (IQR)65.25

Descriptive statistics

Standard deviation65.34171
Coefficient of variation (CV)1.1819261
Kurtosis6.4674895
Mean55.284091
Median Absolute Deviation (MAD)34.5
Skewness2.1462171
Sum4865
Variance4269.5391
MonotonicityNot monotonic
2023-12-11T18:02:11.491258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
5.4%
30 2
 
0.5%
53 2
 
0.5%
17 2
 
0.5%
69 2
 
0.5%
50 2
 
0.5%
19 2
 
0.5%
70 2
 
0.5%
113 1
 
0.3%
158 1
 
0.3%
Other values (52) 52
 
14.2%
(Missing) 279
76.0%
ValueCountFrequency (%)
-8 1
 
0.3%
0 20
5.4%
1 1
 
0.3%
7 1
 
0.3%
8 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
17 2
 
0.5%
19 2
 
0.5%
20 1
 
0.3%
ValueCountFrequency (%)
380 1
0.3%
213 1
0.3%
204 1
0.3%
195 1
0.3%
191 1
0.3%
182 1
0.3%
177 1
0.3%
171 1
0.3%
160 1
0.3%
158 1
0.3%

Unnamed: 15
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)30.0%
Missing337
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum0
Maximum20
Zeros16
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:02:11.669894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.75
95-th percentile14.1
Maximum20
Range20
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation5.1421182
Coefficient of variation (CV)1.6069119
Kurtosis3.467105
Mean3.2
Median Absolute Deviation (MAD)0
Skewness1.9601799
Sum96
Variance26.441379
MonotonicityNot monotonic
2023-12-11T18:02:11.830607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 16
 
4.4%
2 3
 
0.8%
3 3
 
0.8%
8 2
 
0.5%
4 2
 
0.5%
20 1
 
0.3%
15 1
 
0.3%
9 1
 
0.3%
13 1
 
0.3%
(Missing) 337
91.8%
ValueCountFrequency (%)
0 16
4.4%
2 3
 
0.8%
3 3
 
0.8%
4 2
 
0.5%
8 2
 
0.5%
9 1
 
0.3%
13 1
 
0.3%
15 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
20 1
 
0.3%
15 1
 
0.3%
13 1
 
0.3%
9 1
 
0.3%
8 2
 
0.5%
4 2
 
0.5%
3 3
 
0.8%
2 3
 
0.8%
0 16
4.4%

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)98.9%
Memory size3.0 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing367
Missing (%)100.0%
Memory size3.4 KiB

Unnamed: 18
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
364 
0
 
3

Length

Max length4
Median length4
Mean length3.9754768
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 364
99.2%
0 3
 
0.8%

Length

2023-12-11T18:02:11.999192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:02:12.140116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 364
99.2%
0 3
 
0.8%

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing367
Missing (%)100.0%
Memory size3.4 KiB

Unnamed: 20
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
365 
0
 
2

Length

Max length4
Median length4
Mean length3.9836512
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 365
99.5%
0 2
 
0.5%

Length

2023-12-11T18:02:12.276249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:02:12.399346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 365
99.5%
0 2
 
0.5%

Sample

2015년 시간대별 입장객 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
0NaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA>단위:명<NA><NA>NaN<NA><NA><NA><NA>
1월일계00-0991011121314151617181920NaN<NA><NA><NA><NA>
211164561100141182258285344216544NaN<NA><NA>NaN<NA><NA><NA><NA>
3NaN213293858314186190188218110270NaN<NA><NA>NaN<NA><NA><NA>0
4NaN33388782536694103505465713861250NaN<NA><NA>NaN<NA><NA><NA><NA>
5NaN45327422007537397689309377082446NaN<NA><NA>NaN<NA><NA><NA><NA>
6NaN516146060423282178220204145420NaN<NA><NA>NaN<NA><NA><NA><NA>
7NaN6127456975072351181106955270NaN<NA><NA>NaN<NA><NA><NA><NA>
8NaN71010164347417051757854490NaN<NA><NA>NaN<NA><NA><NA><NA>
9NaN8163283153321788610475160230NaN<NA><NA>NaN<NA><NA><NA><NA>
2015년 시간대별 입장객 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
357NaN221494122583602277189115433190NaN<NA><NA>NaN<NA><NA><NA><NA>
358NaN2310785595357175629911894230NaN<NA><NA>NaN<NA><NA><NA><NA>
359NaN24140410738424221125152154133500NaN<NA><NA>NaN<NA><NA><NA><NA>
360NaN2546366812841644464777410257953390NaN<NA><NA>NaN<NA><NA><NA><NA>
361NaN2635479516179758237749652137514300<NA><NA>NaN<NA><NA><NA><NA>
362NaN272007114584752592482992842086200<NA><NA>NaN<NA><NA><NA><NA>
363NaN28888625830810954136103411700<NA><NA>NaN<NA><NA><NA><NA>
364NaN29117071373292099510019686470NaN<NA><NA>0<NA><NA><NA><NA>
365NaN302217667504052651062104212084370NaN<NA><NA>NaN<NA><NA><NA><NA>
366NaN3112815862303222100182192129330NaN<NA><NA>NaN<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 14Unnamed: 15Unnamed: 18Unnamed: 20# duplicates
020853744319425522423760497<NA><NA><NA><NA>2
125392265047537354230416631<NA><NA><NA><NA>2