article thumbnail

Performing EDA of Netflix Dataset with Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1In this blog, We are going to talk about some of the advanced and most used charts in Plotly while doing analysis. All you need to know is Plotly for visualization! The post Performing EDA of Netflix Dataset with Plotly appeared first on Analytics Vidhya.

EDA 273
article thumbnail

Mastering Exploratory Data Analysis (EDA): A comprehensive guide

Data Science Dojo

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. EDA is an iterative process of conglomerative activities which include data cleaning, manipulation and visualization. So, without any further ado let’s dive right in. DSD got you covered!

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Life of modern-day alchemists: What does a data scientist do?

Dataconomy

Imagine data scientists as modern-day detectives who sift through a sea of information to uncover hidden patterns, trends, and correlations that can inform decision-making and drive innovation. Just like sifting through ancient artifacts, they meticulously clean and refine the data, preparing it for the grand unveiling.

article thumbnail

Turn the face of your business from chaos to clarity

Dataconomy

Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data. The choice of approach depends on the impact of missing data on the overall dataset and the specific analysis or model being used.

article thumbnail

Netflix Data Analysis using Python

Mlearning.ai

In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. We’ll be using various Python libraries, including Pandas, Matplotlib, Seaborn, and Plotly, to visualize and analyze the data. The type column tells us if it is a TV show or a movie. df.isnull().sum()

article thumbnail

Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.