Présentation de Space Api et analyse des données

1. Use SpaceX
Rest API
Get HTML
response from
wikipedia
Return
SpaceX data
in Json
Extract data
using
BeautifulSoup
Normalize
data into CSV
file
Normalize
data into CSV
file
ready for data
wrangling
Space API
Webscraping

2. 1-getting response from API
2-converting response to a .json file
and turn it into a Pandas dataframe
3-Apply custom fonctions to clean data
4- Assign in list to dictionaries,
and create a new dataframe
5- filter the new dataframe

3. 2-Create beautifulSoup object
3- Find table
4- extract all column names from
the HTML table header
5-Create a data frame by
parsing the launch HTML tables
1-Getting response from HTML

4. 2-Calculate the number of launches
on each site
3- Calculate the number and
occurrence of each orbit
4- Calculate the number and occurence of
mission outcome per orbit type
5-Create a landing outcome label
from Outcome column
1-Identify and calculate the percentage
of the missing values in each attribute
6-Handle null values