Learn practical skills, build real-world projects, and advance your career
!pip install pyjanitor pyvis --quiet
|████████████████████████████████| 107 kB 5.4 MB/s eta 0:00:01
import pandas as pd
import janitor
import datetime

from IPython.core.display import display, HTML
from pyvis import network as net
import networkx as nx
df_ori = pd.read_csv("/content/drive/MyDrive/linkedin_network/Connections.csv", skiprows=2)
df_ori.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 2757 entries, 0 to 2756 Data columns (total 6 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 First Name 2747 non-null object 1 Last Name 2747 non-null object 2 Email Address 71 non-null object 3 Company 2668 non-null object 4 Position 2668 non-null object 5 Connected On 2757 non-null object dtypes: object(6) memory usage: 129.4+ KB

Data Cleaning