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Apr 8, 2024 · In this step-by-step guide, we’ll show you a Python data analysis example and demonstrate how to analyze a dataset. A great way to get practical experience in Python and accelerate your learning is by doing data analysis challenges.
Jan 17, 2024 · As you might expect, Python lends itself readily to data analysis. Once Python has analyzed your data, you can then use your findings to make good business decisions, improve procedures, and even make informed predictions based on what you’ve discovered. In this tutorial, you’ll: Understand the need for a sound data analysis workflow
Feb 13, 2020 · Price to Book ratio (PB) is a very useful metric to analyse the relative value of a company. PB helps to determine if a company price is currently undervalued or overvalued in comparison to...
- Analyzing Numerical Data with NumPy. NumPy is an array processing package in Python and provides a high-performance multidimensional array object and tools for working with these arrays.
- Analyzing Data Using Pandas. Python Pandas Is used for relational or labeled data and provides various data structures for manipulating such data and time series.
- Concatenating DataFrame. In order to concat the dataframe, we use concat() function which helps in concatenating the dataframe. This function does all the heavy lifting of performing concatenation operations along with an axis of Pandas objects while performing optional set logic (union or intersection) of the indexes (if any) on the other axes.
- Merging DataFrame. When we need to combine very large DataFrames, joins serve as a powerful way to perform these operations swiftly. Joins can only be done on two DataFrames at a time, denoted as left and right tables.
Sep 30, 2024 · Exploratory Data Analysis in Python. Exploratory data analysis (EDA) is a critical initial step in the data science workflow. It involves using Python libraries to inspect, summarize, and visualize data to uncover trends, patterns, and relationships. Here’s a breakdown of the key steps in performing EDA with Python: 1. Importing Libraries:
Apr 22, 2024 · Data analysis empowers you to make informed decisions backed by facts and insights – rather than going by gut feeling. But data analysis isn't just about the past; it's also about looking forward. By analyzing historical data and identifying patterns, we can predict future trends.
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Jan 16, 2020 · Calculate Stock Terms (P/E and P/BV) Our data does not contain P/E (Price to Earning) and P/BV (Price to Book Value), so we calculate them. (1) Get stock price. Based on the definition of these...
