A quick guide on how to draw these essential charts for stock analysis. Basics of OHLC charts with Python’s Matplotlib.
With a history going back to the 18th century, Open-High-Low-Close (OHLC) charts are among the most popular financial analysis tools, typically used to illustrate stock prices over time.
In this article, we’ll see how to build an OHLC chart with Matplotlib from scratch, explore the advantages and limitations of this visualization, and get a look at a more straightforward approach with mplfinance.
Data visualization is the graphical representation of data in a graph, chart or other visual formats. It shows relationships of the data with images.
So here is my first blog regarding the data visualization with matplotlib in python. In this article we will cover the basic of the visualization with matplotlib.
Learning the basics of Exploratory Data Analysis (EDA) using Python with Numpy, Matplotlib, and Pandas. EDA in Python uses data visualization to draw meaningful patterns and insights. EDA is an approach of analyzing datasets to summarize their main characteristics, often with visual methods.
Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.
I work on strategic questions and provide actionable, data-driven insights to inform product and engineering decisions. In this article, I’ll use Python to explore and visualize the classic titanic data.