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Study Note54

Dual-axis graph and Pyramid graph A dual-axis graphA dual-axis graph is a type of graph that utilizes two separate y-axes to represent two different sets of data on the same plot. This allows for the comparison of two variables that may have different units or scales. # 1. Setting the default styleplt.style.use('default')plt.rcParams['figure.figsize'] = (4, 3)plt.rcParams['font.size'] = 12# 2. Preparing the datax = np.arange(202.. 2024. 5. 30.
Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is a crucial phase in data analysis that helps in understanding the main characteristics and patterns of the data. EDA forms the foundation of data analysis by providing insights into the structure of the data and identifying potential issues or anomalies. Key Elements of EDAData UnderstandingUnderstand the source, collection method, structure, and meaning of each.. 2024. 5. 28.
Join, Merge, Concat, Append, and Pivot table 1. Using the join MethodThe join method in pandas is used to combine two dataframes based on their index. Here is the syntax: DataFrame.join(other, on=None, how='left', lsuffix='', rsuffix='', sort=False) other: The dataframe to join with.on: Column or index level names to join on. Default is the index.how: Type of join to perform ('left', 'right', 'outer', 'inner'). Default is 'left'.lsuffix: S.. 2024. 5. 23.
The difference between deep learning and machine learning The difference between deep learning and machine learning Artificial Intelligence: Human capabilities and functions -> ComputerMachine Learning: Learns patterns, rules, and characteristics on its own using large amounts of data. (Data-dependent - if the data is wrong, it will fail) / Advantage: Just provide the data [because it learns by itself] -> Data must be very well refined.Deep Learning: D.. 2024. 5. 21.
With CTE I've been solving CodeKata questions and have already completed up to question number 76. While solving these questions, I wanted to practice using WITH CTE. Mastering WITH CTE seems like it will allow me to simplify complex code in various ways.  What is a CTE?A CTE (Common Table Expression) is a temporary result set defined within the execution scope of a single SQL statement. It improves the.. 2024. 5. 20.
Seaborn plot (Scatter, Hist, and Box) Today, I plan to practice again by using Seaborn to recreate the plots I made last time.  Seaborn is a Python package for data visualization, built on top of Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics.Seaborn is used to visualize statistical data, particularly to explore relationships between variables. It offers a wide range of pl.. 2024. 5. 16.

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