This very useful when doing exploratory analysis because it shows us any rows that have missing data. This function gives us a concise overview of all the data in the Dataset. The columns of the table each represent a feature related to the passenger.There are 15 columns in total in our dataset but we will not use all of them in our workshop today. The dataset we will be using today is a collection of data regarding the passengers and statistics of the titanic: Each row on our dataset table represents an individual passenger of the Titanic. What is a dataset?Ī data set is simply a collection of data that is usually displayed as a table. All images are screenshots from the workshop so please feel free to watch along for full details. We will work with two libraries in today’s workshop: Matplotlip and Seaborn and we will share some other useful materials with you at the end. In this blog article, we are going to show you how to present a story and draw conclusions from a dataset building a data visualization with Python. We are going to use data to tell a story about the Titanic and answer the question “What sort of people were likely to survive?” It seems some groups were more likely to survive than others, so we will look at if there are any patterns in a given dataset to help answer this question. It is also an open-source language, so anyone can access and use it for free. As it works for a range of web development tasks, it is an attractive option for anyone who needs versatility. This may include backend development, building software, and writing scripts. As a general-purpose language, it can be used for various types of programming, not just web development. Python is just one of the many coding languages that exist and is used nowadays to build websites and software or analyse data.

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