How to read in a CSV file into python

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

%matplotlib inline

sales = pd.read_csv(
    'data/sales_data.csv',
    parse_dates=['Date'])

In Jupyter Notebook, In order to see a preview of a data in a inline block , you must run the following command in order to see it

!head data/sales_data.csv

Data-frame -

• A data frame is a CSV representation, however, it has more info such as each column having its own data type and allows for better ways to conduct analysis

In order to view the data like this, we can use the following command :

sales.head()

A data set will have X certain rows and y certain columns. To check how many rows and columns a data set has we do the following :

sales.shape

OUTPUT : (113036, 18)

In order to check the properties of the data you're working with , you can run the following command which gives you info about the data :

sales.info()

To check the statistical data about the data set, we can use the command describe which tells us statistical properties.

sales.describe()

Numerical Analysis and visualization -