Import Necessary Libraries and Data
Firstly, we need to import all necessary modules, upload the data, and visually examine it.
Modules and methods description
numpy (np)
: Essential for numerical computing and array operations;pandas (pd)
:read_csv()
: Facilitates reading CSV files into DataFrame for data analysis;DataFrame.head()
: Offers a quick glimpse of the initial rows in the DataFrame.
matplotlib.pyplot (plt)
: Enables creating various types of plots for data visualization;seaborn (sns)
: Enhances statistical data visualization based on matplotlib.
Tâche
Swipe to start coding
- Import
numpy
,pandas
,matplotlib.pyplot
andseaborn
(asnp
,pd
,plt
, andsns
, respectively). - Read the
"Live.csv"
file. - Show the first 5 rows of the dataset.
Solution
Mark tasks as Completed
Tout était clair ?
Merci pour vos commentaires !
Section 1. Chapitre 2
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Import Necessary Libraries and Data
Firstly, we need to import all necessary modules, upload the data, and visually examine it.
Modules and methods description
numpy (np)
: Essential for numerical computing and array operations;pandas (pd)
:read_csv()
: Facilitates reading CSV files into DataFrame for data analysis;DataFrame.head()
: Offers a quick glimpse of the initial rows in the DataFrame.
matplotlib.pyplot (plt)
: Enables creating various types of plots for data visualization;seaborn (sns)
: Enhances statistical data visualization based on matplotlib.
Tâche
Swipe to start coding
- Import
numpy
,pandas
,matplotlib.pyplot
andseaborn
(asnp
,pd
,plt
, andsns
, respectively). - Read the
"Live.csv"
file. - Show the first 5 rows of the dataset.
Solution
Mark tasks as Completed
Tout était clair ?
Merci pour vos commentaires !
Section 1. Chapitre 2