EDA-SpaceX-Launches-Falcon9-and-Falcon-Heavy

In this project, we analyze the space flight data of Spacex space research company Falcon 9 rocket.

Dataset1 Link (Kaggle): https://www.kaggle.com/datasets/sagarvarandekar/spacex-falcon9-launch-data Dataset2 Link (Kaggle): https://www.kaggle.com/datasets/heyrobin/space-x-launches-falcon9-and-falcon-heavy

About the Dataset

Space Exploration Technologies Corp. (SpaceX) is an American aerospace manufacturer, space transportation services.

Falcon 9 is a rocket that can carry cargo and humans into Earth orbit, even reaching the International Space Station. It is produced by American aerospace company SpaceX. Technically, it is a partially reuseable, medium lift launch vehicle.

Falcon Heavy is a partially reusable heavy-lift launch vehicle that is produced by SpaceX, an American aerospace manufacturer.

import

import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px

#Custom Colors
class clr:
    S = '\033[1m' + '\033[96m'
    E = '\033[0m'
    
my_colors = ["#094074","#3C6997", "#9900F0", "#FFD124", "#FE9000"]

print(clr.S + "Notebook Color Scheme: " + clr.E)
sns.palplot(sns.color_palette(my_colors))

df.describe()

df.head()

launch_site = df['LaunchSite'].value_counts()
launch_site

most_orbit = df['Orbit'].value_counts()
most_orbit

plt.figure(figsize = (15,8))
most_orbit.plot(kind = "barh",color = my_colors[1] )
plt.show()

plt.figure(figsize = (15,8))
Most_customers.plot(kind = 'bar', color = my_colors[2])
plt.show()

outcomes_of_landing = df1['Booster_landing'].value_counts()
plt.figure(figsize = (15,8))
outcomes_of_landing.plot(kind = 'pie')
plt.show()

plt.figure(figsize=(40,20))
year_club = df1.groupby(['Booster_landing', 'Version, Booster']).Booster_landing.size().head(20).plot(kind = 'pie')
plt.title('Booster_landing VS Version, Booster')
plt.legend()
plt.show()

See you on another project.

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