Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory95.3 B

Variable types

Numeric6
Categorical5

Alerts

upper_ctgry_nm has constant value ""Constant
lwprt_ctgry_nm has constant value ""Constant
cntt_nm is highly overall correlated with srchwrd_nm and 1 other fieldsHigh correlation
country_nm is highly overall correlated with all_kwrd_rank_co and 2 other fieldsHigh correlation
srchwrd_nm is highly overall correlated with all_kwrd_rank_co and 3 other fieldsHigh correlation
seq_no is highly overall correlated with sccnt_deHigh correlation
all_kwrd_rank_co is highly overall correlated with mobile_sccnt_value and 4 other fieldsHigh correlation
mobile_sccnt_value is highly overall correlated with all_kwrd_rank_co and 2 other fieldsHigh correlation
pc_sccnt_value is highly overall correlated with all_kwrd_rank_co and 2 other fieldsHigh correlation
sccnt_sm_value is highly overall correlated with all_kwrd_rank_co and 3 other fieldsHigh correlation
sccnt_de is highly overall correlated with seq_noHigh correlation
seq_no has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:51:01.907605
Analysis finished2023-12-10 09:51:10.961471
Duration9.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

seq_no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4758.5
Minimum4709
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:11.567359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4709
5-th percentile4713.95
Q14733.75
median4758.5
Q34783.25
95-th percentile4803.05
Maximum4808
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.0060967725
Kurtosis-1.2
Mean4758.5
Median Absolute Deviation (MAD)25
Skewness0
Sum475850
Variance841.66667
MonotonicityNot monotonic
2023-12-10T18:51:11.916233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4800 1
 
1.0%
4745 1
 
1.0%
4738 1
 
1.0%
4737 1
 
1.0%
4736 1
 
1.0%
4731 1
 
1.0%
4730 1
 
1.0%
4741 1
 
1.0%
4740 1
 
1.0%
4739 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
4709 1
1.0%
4710 1
1.0%
4711 1
1.0%
4712 1
1.0%
4713 1
1.0%
4714 1
1.0%
4715 1
1.0%
4716 1
1.0%
4717 1
1.0%
4718 1
1.0%
ValueCountFrequency (%)
4808 1
1.0%
4807 1
1.0%
4806 1
1.0%
4805 1
1.0%
4804 1
1.0%
4803 1
1.0%
4802 1
1.0%
4801 1
1.0%
4800 1
1.0%
4799 1
1.0%

all_kwrd_rank_co
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:12.188280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5.5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8867513
Coefficient of variation (CV)0.52486388
Kurtosis-1.2252472
Mean5.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum550
Variance8.3333333
MonotonicityNot monotonic
2023-12-10T18:51:12.520289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 10
10.0%
4 10
10.0%
8 10
10.0%
3 10
10.0%
5 10
10.0%
1 10
10.0%
6 10
10.0%
7 10
10.0%
9 10
10.0%
10 10
10.0%
ValueCountFrequency (%)
1 10
10.0%
2 10
10.0%
3 10
10.0%
4 10
10.0%
5 10
10.0%
6 10
10.0%
7 10
10.0%
8 10
10.0%
9 10
10.0%
10 10
10.0%
ValueCountFrequency (%)
10 10
10.0%
9 10
10.0%
8 10
10.0%
7 10
10.0%
6 10
10.0%
5 10
10.0%
4 10
10.0%
3 10
10.0%
2 10
10.0%
1 10
10.0%

srchwrd_nm
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
태국여행
10 
싱가포르여행
10 
터키여행
10 
일본여행
10 
미국여행
10 
Other values (12)
50 

Length

Max length8
Median length6
Mean length4.54
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row태국여행
2nd row베트남여행
3rd row괌여행
4th row싱가포르여행
5th row터키여행

Common Values

ValueCountFrequency (%)
태국여행 10
10.0%
싱가포르여행 10
10.0%
터키여행 10
10.0%
일본여행 10
10.0%
미국여행 10
10.0%
하와이여행 10
10.0%
베트남여행 10
10.0%
스페인여행 7
7.0%
괌여행 7
7.0%
대만여행 6
6.0%
Other values (7) 10
10.0%

Length

2023-12-10T18:51:12.855175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태국여행 10
10.0%
싱가포르여행 10
10.0%
터키여행 10
10.0%
일본여행 10
10.0%
미국여행 10
10.0%
하와이여행 10
10.0%
베트남여행 10
10.0%
괌여행 7
7.0%
스페인여행 7
7.0%
대만여행 6
6.0%
Other values (7) 10
10.0%

upper_ctgry_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
여행
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여행 100
100.0%

Length

2023-12-10T18:51:13.137531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:13.315486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여행 100
100.0%

lwprt_ctgry_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
해외여행
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해외여행 100
100.0%

Length

2023-12-10T18:51:13.515720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:13.693333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외여행 100
100.0%

cntt_nm
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
아시아
49 
유럽
21 
북아메리카
20 
오세아니아
10 

Length

Max length5
Median length3
Mean length3.39
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아시아
2nd row아시아
3rd row오세아니아
4th row아시아
5th row유럽

Common Values

ValueCountFrequency (%)
아시아 49
49.0%
유럽 21
21.0%
북아메리카 20
20.0%
오세아니아 10
 
10.0%

Length

2023-12-10T18:51:13.890042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:51:14.097627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아시아 49
49.0%
유럽 21
21.0%
북아메리카 20
20.0%
오세아니아 10
 
10.0%

country_nm
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
미국
28 
태국
10 
베트남
10 
싱가포르
10 
터키
10 
Other values (8)
32 

Length

Max length6
Median length2
Mean length2.5
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row태국
2nd row베트남
3rd row미국
4th row싱가포르
5th row터키

Common Values

ValueCountFrequency (%)
미국 28
28.0%
태국 10
 
10.0%
베트남 10
 
10.0%
싱가포르 10
 
10.0%
터키 10
 
10.0%
일본 10
 
10.0%
스페인 7
 
7.0%
대만 6
 
6.0%
호주 2
 
2.0%
프랑스 2
 
2.0%
Other values (3) 5
 
5.0%

Length

2023-12-10T18:51:14.326512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미국 28
28.0%
태국 10
 
10.0%
베트남 10
 
10.0%
싱가포르 10
 
10.0%
터키 10
 
10.0%
일본 10
 
10.0%
스페인 7
 
7.0%
대만 6
 
6.0%
호주 2
 
2.0%
프랑스 2
 
2.0%
Other values (3) 5
 
5.0%

mobile_sccnt_value
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.47
Minimum38
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:14.609442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile56.9
Q195.25
median118
Q3161.5
95-th percentile398
Maximum417
Range379
Interquartile range (IQR)66.25

Descriptive statistics

Standard deviation90.609547
Coefficient of variation (CV)0.61862188
Kurtosis2.6653159
Mean146.47
Median Absolute Deviation (MAD)33
Skewness1.7699244
Sum14647
Variance8210.09
MonotonicityNot monotonic
2023-12-10T18:51:15.050274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 4
 
4.0%
110 4
 
4.0%
146 3
 
3.0%
57 3
 
3.0%
221 2
 
2.0%
105 2
 
2.0%
106 2
 
2.0%
134 2
 
2.0%
398 2
 
2.0%
83 2
 
2.0%
Other values (68) 74
74.0%
ValueCountFrequency (%)
38 1
 
1.0%
40 1
 
1.0%
46 1
 
1.0%
51 1
 
1.0%
55 1
 
1.0%
57 3
3.0%
61 1
 
1.0%
65 1
 
1.0%
67 1
 
1.0%
71 1
 
1.0%
ValueCountFrequency (%)
417 1
1.0%
412 1
1.0%
408 1
1.0%
405 1
1.0%
398 2
2.0%
392 1
1.0%
357 1
1.0%
338 1
1.0%
277 1
1.0%
245 1
1.0%

pc_sccnt_value
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683.43
Minimum324
Maximum2153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:15.445344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324
5-th percentile358.7
Q1413.75
median518
Q3741.25
95-th percentile1897.75
Maximum2153
Range1829
Interquartile range (IQR)327.5

Descriptive statistics

Standard deviation450.94158
Coefficient of variation (CV)0.65982117
Kurtosis3.3239103
Mean683.43
Median Absolute Deviation (MAD)116.5
Skewness2.059713
Sum68343
Variance203348.31
MonotonicityNot monotonic
2023-12-10T18:51:15.709549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
631 2
 
2.0%
619 2
 
2.0%
477 2
 
2.0%
389 2
 
2.0%
383 2
 
2.0%
386 2
 
2.0%
581 2
 
2.0%
436 2
 
2.0%
522 1
 
1.0%
814 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
324 1
1.0%
341 1
1.0%
342 1
1.0%
344 1
1.0%
353 1
1.0%
359 1
1.0%
368 1
1.0%
370 1
1.0%
371 1
1.0%
372 1
1.0%
ValueCountFrequency (%)
2153 1
1.0%
2106 1
1.0%
2075 1
1.0%
1973 1
1.0%
1931 1
1.0%
1896 1
1.0%
1782 1
1.0%
1677 1
1.0%
1624 1
1.0%
1606 1
1.0%

sccnt_sm_value
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean829.9
Minimum424
Maximum2518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:15.990432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum424
5-th percentile442.95
Q1515.25
median628.5
Q3901.5
95-th percentile2305.25
Maximum2518
Range2094
Interquartile range (IQR)386.25

Descriptive statistics

Standard deviation529.86382
Coefficient of variation (CV)0.63846707
Kurtosis3.4477989
Mean829.9
Median Absolute Deviation (MAD)134
Skewness2.0844514
Sum82990
Variance280755.67
MonotonicityNot monotonic
2023-12-10T18:51:16.302342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1944 2
 
2.0%
538 2
 
2.0%
567 2
 
2.0%
493 2
 
2.0%
627 2
 
2.0%
494 2
 
2.0%
546 2
 
2.0%
1038 1
 
1.0%
461 1
 
1.0%
443 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
424 1
1.0%
430 1
1.0%
434 1
1.0%
440 1
1.0%
442 1
1.0%
443 1
1.0%
461 1
1.0%
467 1
1.0%
468 1
1.0%
471 1
1.0%
ValueCountFrequency (%)
2518 1
1.0%
2510 1
1.0%
2492 1
1.0%
2371 1
1.0%
2329 1
1.0%
2304 1
1.0%
2069 1
1.0%
2059 1
1.0%
1944 2
2.0%
1681 1
1.0%

sccnt_de
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20211210
Minimum20211206
Maximum20211215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:51:16.696204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20211206
5-th percentile20211206
Q120211208
median20211210
Q320211213
95-th percentile20211215
Maximum20211215
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8867513
Coefficient of variation (CV)1.4282922 × 10-7
Kurtosis-1.2252472
Mean20211210
Median Absolute Deviation (MAD)2.5
Skewness0
Sum2.021121 × 109
Variance8.3333333
MonotonicityDecreasing
2023-12-10T18:51:16.921782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20211215 10
10.0%
20211214 10
10.0%
20211213 10
10.0%
20211212 10
10.0%
20211211 10
10.0%
20211210 10
10.0%
20211209 10
10.0%
20211208 10
10.0%
20211207 10
10.0%
20211206 10
10.0%
ValueCountFrequency (%)
20211206 10
10.0%
20211207 10
10.0%
20211208 10
10.0%
20211209 10
10.0%
20211210 10
10.0%
20211211 10
10.0%
20211212 10
10.0%
20211213 10
10.0%
20211214 10
10.0%
20211215 10
10.0%
ValueCountFrequency (%)
20211215 10
10.0%
20211214 10
10.0%
20211213 10
10.0%
20211212 10
10.0%
20211211 10
10.0%
20211210 10
10.0%
20211209 10
10.0%
20211208 10
10.0%
20211207 10
10.0%
20211206 10
10.0%

Interactions

2023-12-10T18:51:09.176556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:03.276608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.409096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:05.713768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:06.848385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:08.129086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:09.332988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:03.452639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.588611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:05.939275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:07.057246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:08.317184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:09.542250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:03.640279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.747650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:06.125566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:07.265525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:08.473060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:09.856033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:03.836467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.946815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:06.301881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:07.483520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:08.666261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:10.058531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.030417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:05.154914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:06.496112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:07.749194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:08.834122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:10.250489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:04.226889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:05.412656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:06.678034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:07.966235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:51:09.002355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:51:17.077253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noall_kwrd_rank_cosrchwrd_nmcntt_nmcountry_nmmobile_sccnt_valuepc_sccnt_valuesccnt_sm_valuesccnt_de
seq_no1.0000.0000.0000.0000.0000.5970.1110.0001.000
all_kwrd_rank_co0.0001.0000.8470.6300.8210.8110.7220.7440.000
srchwrd_nm0.0000.8471.0001.0001.0000.6900.7370.8440.000
cntt_nm0.0000.6301.0001.0000.9210.3810.5080.5380.000
country_nm0.0000.8211.0000.9211.0000.6980.7240.7930.000
mobile_sccnt_value0.5970.8110.6900.3810.6981.0000.7700.7880.462
pc_sccnt_value0.1110.7220.7370.5080.7240.7701.0000.9820.000
sccnt_sm_value0.0000.7440.8440.5380.7930.7880.9821.0000.000
sccnt_de1.0000.0000.0000.0000.0000.4620.0000.0001.000
2023-12-10T18:51:17.306168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
cntt_nmcountry_nmsrchwrd_nm
cntt_nm1.0000.7820.930
country_nm0.7821.0000.977
srchwrd_nm0.9300.9771.000
2023-12-10T18:51:17.494225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
seq_noall_kwrd_rank_comobile_sccnt_valuepc_sccnt_valuesccnt_sm_valuesccnt_desrchwrd_nmcntt_nmcountry_nm
seq_no1.0000.100-0.136-0.043-0.0730.9950.0000.0000.000
all_kwrd_rank_co0.1001.000-0.682-0.920-0.9420.0000.5180.4170.515
mobile_sccnt_value-0.136-0.6821.0000.5570.698-0.0680.3360.2270.372
pc_sccnt_value-0.043-0.9200.5571.0000.9720.0480.3870.3430.409
sccnt_sm_value-0.073-0.9420.6980.9721.0000.0210.5190.3660.488
sccnt_de0.9950.000-0.0680.0480.0211.0000.0000.0000.000
srchwrd_nm0.0000.5180.3360.3870.5190.0001.0000.9300.977
cntt_nm0.0000.4170.2270.3430.3660.0000.9301.0000.782
country_nm0.0000.5150.3720.4090.4880.0000.9770.7821.000

Missing values

2023-12-10T18:51:10.521559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:51:10.849460image/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

seq_noall_kwrd_rank_cosrchwrd_nmupper_ctgry_nmlwprt_ctgry_nmcntt_nmcountry_nmmobile_sccnt_valuepc_sccnt_valuesccnt_sm_valuesccnt_de
048002태국여행여행해외여행아시아태국221817103820211215
148024베트남여행여행해외여행아시아베트남15974190020211215
248068괌여행여행해외여행오세아니아미국14637251820211215
348013싱가포르여행여행해외여행아시아싱가포르16873890620211215
448035터키여행여행해외여행유럽터키15855571320211215
547991일본여행여행해외여행아시아일본4081896230420211215
648046미국여행여행해외여행북아메리카미국9647757320211215
748057하와이여행여행해외여행북아메리카미국11241052220211215
848079사이판여행여행해외여행오세아니아미국10438949320211215
9480810호주여행여행해외여행오세아니아호주8438346720211215
seq_noall_kwrd_rank_cosrchwrd_nmupper_ctgry_nmlwprt_ctgry_nmcntt_nmcountry_nmmobile_sccnt_valuepc_sccnt_valuesccnt_sm_valuesccnt_de
9047091일본여행여행해외여행아시아일본3981973237120211206
9147102태국여행여행해외여행아시아태국245938118320211206
9247113싱가포르여행여행해외여행아시아싱가포르16163179220211206
9347124미국여행여행해외여행북아메리카미국14361976220211206
9447135베트남여행여행해외여행아시아베트남13855869620211206
9547146대만여행여행해외여행아시아대만11058169120211206
9647157하와이여행여행해외여행북아메리카미국17547064520211206
9747168괌여행여행해외여행오세아니아미국15447763120211206
9847179터키여행여행해외여행유럽터키11451562920211206
99471810스페인여행여행해외여행유럽스페인11037048020211206