![google doc merge 2 graphs google doc merge 2 graphs](https://i.ytimg.com/vi/saxkm0je8t0/hqdefault.jpg)
If you also use google colab like me, it’s advised to store your data in your Google Drive. We store ecommerce_event.csv to df_ecomm variable and user_profile.csv to df_user variable. The parameter in this function is the location of the csv file. In the 2 lines above we use pandas function read_csv() to read our csv file and make it into a DataFrame (table in python). Then let’s import our data to python df_ecomm = pd.read_csv("drive/MyDrive/MySkill/ecommerce_event.csv") df_user = pd.read_csv("drive/MyDrive/MySkill/user_profile.csv") It specializes in statistics visualization. But with Seaborn visualizing data is easier because it uses less syntax. Seaborn is also a Python library for plotting graphs with the help of Matplotlib, Pandas, and Numpy.
![google doc merge 2 graphs google doc merge 2 graphs](https://i.ytimg.com/vi/sQ2QGMxU3p0/maxresdefault.jpg)
import matplotlib.pyplot as plt, We import Matplotlib.pyplot library and shorten the variable to ‘plt’.Pandas is a python library used to analyze data. import pandas as pd, We import the pandas library and shorten the variable to ‘pd’.Let’s break down what we’re doing above, line by line: What we’re going to do in this article is to do the exercise that MySkill already provided so we can hone our skills in python in terms of data analysis and data visualization.īefore we solve our exercise tasks, let’s go prepare first by importing the necessary libraries: import pandas as pd import matplotlib.pyplot as plt import numpy as np import seaborn as sns The platform also provided us with 13 GB of RAM, and if you’re interested in Data Science as well this is a really good feature to use.
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Google Collab is a free and online platform that supports python programming. The platform that we’re going to use is Google Collab. In this article, we will use python to analyze data from an e-commerce dataset and visualize them. So learning python is a really good skill to have, whether or not you're into data analysis or even if you’re just a fan of programming in general.
![google doc merge 2 graphs google doc merge 2 graphs](https://i.stack.imgur.com/hC6cy.jpg)
It is also easy to learn for people that are new to programming. Python is also really flexible in terms of its usage, you can use it to make game development, web development, and even artificial intelligence. P ython is one of the most popular programming languages in the world of data analysts and data scientists.