July 2017
Beginner to intermediate
312 pages
7h 27m
English
For numerical data, we will check statistically both what the distribution of values is and whether there are any missing values:
df[['watchers_count','size','forks_count','open_issues']].describe()
| NA |
watchers_count |
size |
forks_count |
open_issues |
|
count |
787.000000 |
7.870000e+02 |
787.000000 |
787.000000 |
|
mean |
696.656925 |
2.079364e+04 |
129.127065 |
13.270648 |
|
std |
1652.487989 |
2.056537e+05 |
208.778257 |
30.909030 |
|
min |
0.000000 |
0.000000e+00 |
33.000000 |
0.000000 |
|
25% |
0.000000 |
3.250000e+01 |
58.000000 |
0.000000 |
|
50% |
124.000000 |
4.540000e+02 |
76.000000 |
3.000000 |
|
75% |
656.500000 |
6.859000e+03 |
99.000000 |
12.000000 |
|
max |
20792.000000 |
5.657792e+06 |
2589.000000 |
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