Overview

Dataset statistics

Number of variables24
Number of observations198
Missing cells2304
Missing cells (%)48.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.3 KiB
Average record size in memory213.7 B

Variable types

Numeric5
Categorical9
Unsupported10

Dataset

DescriptionSample
Author한국인터넷진흥원
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KIS0000025

Alerts

0 has constant value ""Constant
Unnamed: 2 is highly imbalanced (70.0%)Imbalance
Unnamed: 3 is highly imbalanced (70.0%)Imbalance
Unnamed: 4 is highly imbalanced (70.0%)Imbalance
Unnamed: 5 has 198 (100.0%) missing valuesMissing
Unnamed: 6 has 198 (100.0%) missing valuesMissing
Unnamed: 7 has 198 (100.0%) missing valuesMissing
Unnamed: 8 has 198 (100.0%) missing valuesMissing
Unnamed: 9 has 198 (100.0%) missing valuesMissing
Unnamed: 10 has 198 (100.0%) missing valuesMissing
Unnamed: 11 has 198 (100.0%) missing valuesMissing
Unnamed: 13 has 198 (100.0%) missing valuesMissing
Unnamed: 14 has 198 (100.0%) missing valuesMissing
Unnamed: 15 has 198 (100.0%) missing valuesMissing
Unnamed: 21 has 108 (54.5%) missing valuesMissing
Unnamed: 22 has 108 (54.5%) missing valuesMissing
Unnamed: 23 has 108 (54.5%) missing valuesMissing
1 has unique valuesUnique
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 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: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 has 33 (16.7%) zerosZeros
Unnamed: 22 has 2 (1.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:23:30.478062
Analysis finished2023-12-10 06:23:30.812173
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1
Real number (ℝ)

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5
Minimum2
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:31.352583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.85
Q151.25
median100.5
Q3149.75
95-th percentile189.15
Maximum199
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57016749
Kurtosis-1.2
Mean100.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19899
Variance3283.5
MonotonicityStrictly increasing
2023-12-10T15:23:31.632119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
0.5%
127 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
11 1
0.5%
ValueCountFrequency (%)
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%

115858
Real number (ℝ)

Distinct43
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118117.38
Minimum115900
Maximum120036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:31.921138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115900
5-th percentile115900
Q1115917
median120004
Q3120022.75
95-th percentile120036
Maximum120036
Range4136
Interquartile range (IQR)4105.75

Descriptive statistics

Standard deviation2050.1625
Coefficient of variation (CV)0.017356993
Kurtosis-1.9997096
Mean118117.38
Median Absolute Deviation (MAD)32
Skewness-0.14289316
Sum23387241
Variance4203166.2
MonotonicityIncreasing
2023-12-10T15:23:32.193468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
120036 21
 
10.6%
115917 19
 
9.6%
120020 14
 
7.1%
120004 13
 
6.6%
115948 13
 
6.6%
115932 12
 
6.1%
115900 12
 
6.1%
115916 12
 
6.1%
115922 6
 
3.0%
120017 6
 
3.0%
Other values (33) 70
35.4%
ValueCountFrequency (%)
115900 12
6.1%
115902 2
 
1.0%
115905 4
 
2.0%
115910 1
 
0.5%
115912 1
 
0.5%
115916 12
6.1%
115917 19
9.6%
115921 4
 
2.0%
115922 6
 
3.0%
115924 1
 
0.5%
ValueCountFrequency (%)
120036 21
10.6%
120035 2
 
1.0%
120034 2
 
1.0%
120033 2
 
1.0%
120032 3
 
1.5%
120031 2
 
1.0%
120030 3
 
1.5%
120029 2
 
1.0%
120028 2
 
1.0%
120027 2
 
1.0%

Unnamed: 2
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
173 
5353
19 
59555
 
2
53
 
2
123
 
2

Length

Max length5
Median length4
Mean length3.979798
Min length2

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> 173
87.4%
5353 19
 
9.6%
59555 2
 
1.0%
53 2
 
1.0%
123 2
 
1.0%

Length

2023-12-10T15:23:32.415952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:32.614804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
87.4%
5353 19
 
9.6%
59555 2
 
1.0%
53 2
 
1.0%
123 2
 
1.0%

Unnamed: 3
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
173 
5353
19 
53
 
2
59555
 
2
123
 
2

Length

Max length5
Median length4
Mean length3.979798
Min length2

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> 173
87.4%
5353 19
 
9.6%
53 2
 
1.0%
59555 2
 
1.0%
123 2
 
1.0%

Length

2023-12-10T15:23:32.819378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:33.014236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
87.4%
5353 19
 
9.6%
53 2
 
1.0%
59555 2
 
1.0%
123 2
 
1.0%

Unnamed: 4
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
173 
217
19 
59
 
2
169
 
2
56
 
2

Length

Max length4
Median length4
Mean length3.8535354
Min length2

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> 173
87.4%
217 19
 
9.6%
59 2
 
1.0%
169 2
 
1.0%
56 2
 
1.0%

Length

2023-12-10T15:23:33.345045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:33.580698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
87.4%
217 19
 
9.6%
59 2
 
1.0%
169 2
 
1.0%
56 2
 
1.0%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

CDP
Categorical

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
CDP
67 
TCP
59 
LDAP
24 
MDNS
19 
ARP
16 
Other values (3)
13 

Length

Max length7
Median length3
Mean length3.3585859
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLDAP
2nd rowTCP
3rd rowLDAP
4th rowTCP
5th rowTCP

Common Values

ValueCountFrequency (%)
CDP 67
33.8%
TCP 59
29.8%
LDAP 24
 
12.1%
MDNS 19
 
9.6%
ARP 16
 
8.1%
TLSv1.2 7
 
3.5%
DNS 4
 
2.0%
NTP 2
 
1.0%

Length

2023-12-10T15:23:33.777806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:33.997144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cdp 67
33.8%
tcp 59
29.8%
ldap 24
 
12.1%
mdns 19
 
9.6%
arp 16
 
8.1%
tlsv1.2 7
 
3.5%
dns 4
 
2.0%
ntp 2
 
1.0%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.9 KiB

0
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
198 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 198
100.0%

Length

2023-12-10T15:23:34.207800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:34.375818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 198
100.0%

Unnamed: 17
Categorical

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
83 
192.*.10.50
49 
192.*.10.3
26 
192.*.10.19
19 
192.*.10.14
12 
Other values (2)
9 

Length

Max length11
Median length10
Mean length7.9343434
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row192.*.10.50
2nd row192.*.10.50
3rd row192.*.10.3
4th row192.*.10.3
5th row192.*.10.50

Common Values

ValueCountFrequency (%)
<NA> 83
41.9%
192.*.10.50 49
24.7%
192.*.10.3 26
 
13.1%
192.*.10.19 19
 
9.6%
192.*.10.14 12
 
6.1%
65.*.44.109 8
 
4.0%
129.*.15.29 1
 
0.5%

Length

2023-12-10T15:23:34.572925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:34.788390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
41.9%
192.*.10.50 49
24.7%
192.*.10.3 26
 
13.1%
192.*.10.19 19
 
9.6%
192.*.10.14 12
 
6.1%
65.*.44.109 8
 
4.0%
129.*.15.29 1
 
0.5%

Unnamed: 18
Categorical

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
83 
192.*.10.3
50 
192.*.10.50
25 
224.*.0.251
19 
192.*.10.14
10 
Other values (2)
11 

Length

Max length11
Median length10
Mean length7.8131313
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row192.*.10.3
2nd row192.*.10.3
3rd row192.*.10.50
4th row192.*.10.50
5th row192.*.10.3

Common Values

ValueCountFrequency (%)
<NA> 83
41.9%
192.*.10.3 50
25.3%
192.*.10.50 25
 
12.6%
224.*.0.251 19
 
9.6%
192.*.10.14 10
 
5.1%
65.*.44.109 10
 
5.1%
129.*.15.29 1
 
0.5%

Length

2023-12-10T15:23:35.037690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:35.255624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
41.9%
192.*.10.3 50
25.3%
192.*.10.50 25
 
12.6%
224.*.0.251 19
 
9.6%
192.*.10.14 10
 
5.1%
65.*.44.109 10
 
5.1%
129.*.15.29 1
 
0.5%

Unnamed: 19
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
108 
33898
24 
389
24 
33904
24 
59135
 
10

Length

Max length5
Median length4
Mean length4.1313131
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row33898
2nd row33898
3rd row389
4th row389
5th row33898

Common Values

ValueCountFrequency (%)
<NA> 108
54.5%
33898 24
 
12.1%
389 24
 
12.1%
33904 24
 
12.1%
59135 10
 
5.1%
443 8
 
4.0%

Length

2023-12-10T15:23:35.497639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:35.704219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
54.5%
33898 24
 
12.1%
389 24
 
12.1%
33904 24
 
12.1%
59135 10
 
5.1%
443 8
 
4.0%

Unnamed: 20
Categorical

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
108 
389
48 
33898
12 
33904
12 
443
 
10

Length

Max length5
Median length4
Mean length3.8686869
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row389
2nd row389
3rd row33898
4th row33898
5th row389

Common Values

ValueCountFrequency (%)
<NA> 108
54.5%
389 48
24.2%
33898 12
 
6.1%
33904 12
 
6.1%
443 10
 
5.1%
59135 8
 
4.0%

Length

2023-12-10T15:23:35.929444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:36.240449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 108
54.5%
389 48
24.2%
33898 12
 
6.1%
33904 12
 
6.1%
443 10
 
5.1%
59135 8
 
4.0%

Unnamed: 21
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)12.2%
Missing108
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean264.18889
Minimum0
Maximum1460
Zeros33
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:36.436210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median316
Q3403
95-th percentile632.9
Maximum1460
Range1460
Interquartile range (IQR)403

Descriptive statistics

Standard deviation281.78791
Coefficient of variation (CV)1.0666153
Kurtosis6.320209
Mean264.18889
Median Absolute Deviation (MAD)87
Skewness1.9591568
Sum23777
Variance79404.425
MonotonicityNot monotonic
2023-12-10T15:23:36.618614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 33
 
16.7%
403 24
 
12.1%
316 24
 
12.1%
1460 2
 
1.0%
210 1
 
0.5%
847 1
 
0.5%
182 1
 
0.5%
107 1
 
0.5%
821 1
 
0.5%
1093 1
 
0.5%
(Missing) 108
54.5%
ValueCountFrequency (%)
0 33
16.7%
107 1
 
0.5%
182 1
 
0.5%
210 1
 
0.5%
316 24
12.1%
341 1
 
0.5%
403 24
12.1%
821 1
 
0.5%
847 1
 
0.5%
1093 1
 
0.5%
ValueCountFrequency (%)
1460 2
 
1.0%
1093 1
 
0.5%
847 1
 
0.5%
821 1
 
0.5%
403 24
12.1%
341 1
 
0.5%
316 24
12.1%
210 1
 
0.5%
182 1
 
0.5%
107 1
 
0.5%

Unnamed: 22
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)25.6%
Missing108
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean1179.2667
Minimum0
Maximum4216
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:36.810361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1404
median1210
Q31613
95-th percentile2695.1
Maximum4216
Range4216
Interquartile range (IQR)1209

Descriptive statistics

Standard deviation960.85219
Coefficient of variation (CV)0.81478789
Kurtosis1.0733939
Mean1179.2667
Median Absolute Deviation (MAD)806
Skewness0.98950459
Sum106134
Variance923236.94
MonotonicityNot monotonic
2023-12-10T15:23:36.994229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 11
 
5.6%
404 8
 
4.0%
2016 8
 
4.0%
1613 8
 
4.0%
1210 8
 
4.0%
807 8
 
4.0%
317 4
 
2.0%
2419 4
 
2.0%
1581 4
 
2.0%
1265 4
 
2.0%
Other values (13) 23
 
11.6%
(Missing) 108
54.5%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
5.6%
211 2
 
1.0%
317 4
 
2.0%
393 1
 
0.5%
404 8
4.0%
633 4
 
2.0%
807 8
4.0%
949 4
 
2.0%
1210 8
4.0%
ValueCountFrequency (%)
4216 1
 
0.5%
3875 2
 
1.0%
3768 1
 
0.5%
2921 1
 
0.5%
2419 4
2.0%
2308 1
 
0.5%
2307 2
 
1.0%
2016 8
4.0%
1613 8
4.0%
1581 4
2.0%

Unnamed: 23
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)25.6%
Missing108
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean1271.8556
Minimum0
Maximum4217
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:37.236092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1404
median1210
Q31613
95-th percentile3826.85
Maximum4217
Range4217
Interquartile range (IQR)1209

Descriptive statistics

Standard deviation1029.6676
Coefficient of variation (CV)0.80957904
Kurtosis1.2985037
Mean1271.8556
Median Absolute Deviation (MAD)687
Skewness1.17127
Sum114467
Variance1060215.4
MonotonicityNot monotonic
2023-12-10T15:23:37.541176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
949 8
 
4.0%
317 8
 
4.0%
1581 8
 
4.0%
633 8
 
4.0%
1265 8
 
4.0%
1 7
 
3.5%
1613 4
 
2.0%
2016 4
 
2.0%
1897 4
 
2.0%
2419 4
 
2.0%
Other values (13) 27
 
13.6%
(Missing) 108
54.5%
ValueCountFrequency (%)
0 1
 
0.5%
1 7
3.5%
211 3
 
1.5%
317 8
4.0%
393 1
 
0.5%
404 4
2.0%
633 8
4.0%
807 4
2.0%
949 8
4.0%
1210 4
2.0%
ValueCountFrequency (%)
4217 1
 
0.5%
4216 2
1.0%
3875 2
1.0%
3768 1
 
0.5%
2921 1
 
0.5%
2419 4
2.0%
2308 1
 
0.5%
2307 2
1.0%
2016 4
2.0%
1897 4
2.0%

Sample

1115858Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11CDPUnnamed: 13Unnamed: 14Unnamed: 150Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23
02115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>LDAP<NA><NA><NA>0192.*.10.50192.*.10.33389838940311
13115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.50192.*.10.33389838940311
24115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>LDAP<NA><NA><NA>0192.*.10.3192.*.10.50389338983161404
35115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.3192.*.10.50389338983161404
46115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.50192.*.10.3338983890404317
57115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.50192.*.10.3338983890404317
68115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>LDAP<NA><NA><NA>0192.*.10.50192.*.10.33390438940311
79115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.50192.*.10.33390438940311
810115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>LDAP<NA><NA><NA>0192.*.10.3192.*.10.50389339043161404
911115900<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>TCP<NA><NA><NA>0192.*.10.3192.*.10.50389339043161404
1115858Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11CDPUnnamed: 13Unnamed: 14Unnamed: 150Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23
188190120036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>CDP<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA>
18919112003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19019212003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19119312003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19219412003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19319512003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19419612003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19519712003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19619812003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>
19719912003653535353217<NA><NA><NA><NA><NA><NA><NA>MDNS<NA><NA><NA>0192.*.10.19224.*.0.251<NA><NA><NA><NA><NA>