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Seaborn – Linear Regression Plot Visualization
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Seaborn – Heatmap Plot Visualization
Seaborn – Heatmap Plot Visualization Table Of Contents: What Is Heatmap Plot ? Where To Use Heatmap Plot ? Examples Of Heatmap Plot ? (1) What Is Heatmap Plot ? (2) Where To Use Heatmap Plot ? (3) Examples Of Heatmap Plot ? Example-1: Basic Heatmap for Correlation Matrix import seaborn as sns import matplotlib.pyplot as plt # Load built-in dataset tips = sns.load_dataset("tips") # Keep only numeric columns tips_numeric = tips.select_dtypes(include="number") # Compute correlation matrix corr = tips_numeric.corr() # Create heatmap sns.heatmap(corr, annot=True, cmap="coolwarm", fmt=".2f") plt.title("Correlation Heatmap") plt.show() Example-2: Heatmap for Missing Values import numpy as np import pandas
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Seaborn – Joint Plot Visualization
Seaborn – Joint Plot Visualization Table Of Contents: What Is Joint Plot ? Where To Use Joint Plot ? Examples Of Joint Plot ? (1) What Is Joint Plot ? (2) Where to Use a Joint Plot? (3) Examples Of Joint Plot ? Example-1: Basic Joint Plot import seaborn as sns import matplotlib.pyplot as plt # Load built-in tips dataset tips = sns.load_dataset("tips") # Create a joint plot sns.jointplot(data=tips, x="total_bill", y="tip") plt.show() Example-2: Joint Plot with Regression Line (Kind=”reg”) import seaborn as sns import matplotlib.pyplot as plt # Load built-in tips dataset tips = sns.load_dataset("tips") # Create a joint plot
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Seaborn – Pair Plot Visualization
Seaborn – Pair Plot Visualization Table Of Contents: What Is Pair Plot ? Where To Use Pair Plot ? Examples Of Pair Plot ? (1) What Is Pair Plot ? (2) Where To Use Pair Plot ? (3) Examples Of Pair Plot ? Example-1: Basic Pair Plot import seaborn as sns import matplotlib.pyplot as plt # Load built-in Iris dataset iris = sns.load_dataset("iris") # Create a pair plot sns.pairplot(iris) plt.show() Example-2: Pair Plot with Hue (Coloring by Category) import seaborn as sns import matplotlib.pyplot as plt # Load built-in Iris dataset iris = sns.load_dataset("iris") # Create a pair plot sns.pairplot(iris,
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Seaborn – Swarm Plot Visualization
Seaborn – Swarm Plot Visualization Table Of Contents: What Is Swarm Plot ? Where To Use Swarm Plot ? Examples Of Swarm Plot ? (1) What Is Swarm Plot ? (2) Where To Use Swarm Plot ? (3) Examples Of Swarm Plot ? Example-1: Swarm Plot of Fare Prices by Class import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic = sns.load_dataset("titanic") # Create a swarm plot for fare distribution sns.swarmplot(data=titanic, x="class", y="fare") plt.xlabel("Passenger Class") plt.ylabel("Fare ($)") plt.title("Swarm Plot of Fare Prices by Class") plt.show() Example-2: Swarm Plot with Hue (Gender Comparison) import seaborn as sns
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Seaborn – Strip Plot Visualization
Seaborn – Strip Plot Visualization Table Of Contents: What Is Strip Plot ? Where To Use Strip Plot ? Examples Of Strip Plot ? (1) What Is Strip Plot ? (2) Where To Use Strip Plot ? (3) Examples Of Strip Plot ? Example-1: Strip Plot of Fare Prices by Class import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic = sns.load_dataset("titanic") # Create a strip plot for fare sns.stripplot(data=titanic, x="class", y="fare", jitter=False) plt.xlabel("Passenger Class") plt.ylabel("Fare ($)") plt.title("Strip Plot of Fare Prices by Class") plt.show() Example-2: Strip Plot with Jitter (Spreading Out Points) import seaborn as
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Seaborn – Violin Plot Visualization
Seaborn – Violin Plot Visualization Table Of Contents: What Is Violin Plot ? Where To Use Violin Plot ? Examples Of Violin Plot ? (1) What Is Violin Plot ? (2) Where To Use Violin Plot ? (3) Examples Of Violin Plot. Example-1: Basic Violin Plot import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic = sns.load_dataset("titanic") # Create a violin plot for passenger fare sns.violinplot(data=titanic, x="fare") plt.xlabel("Fare ($)") plt.title("Violin Plot of Passenger Fare") plt.show() Example-2: Comparing Fare Distribution Across Passenger Classes import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic =
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Seaborn – Box Plot Visualization
Seaborn – Box Plot Visualization Table Of Contents: What Is Box Plot ? Where To Use Box Plot ? Examples Of Box Plot ? (1) What Is Box Plot ? (2) Where To Use Box Plot ? (3) Examples Of Box Plot ? Example-1: Box Plot of Fare Prices import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic = sns.load_dataset("titanic") # Create Box Plot for fare sns.boxplot(data=titanic, x="fare") plt.xlabel("Fare ($)") plt.title("Box Plot of Fare Prices") plt.show() Example-2: Box Plot Comparing Passenger Classes import seaborn as sns import matplotlib.pyplot as plt # Load Titanic dataset titanic =
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Seaborn – KDE Plot Visualization
Seaborn – KDE Plot Visualization Table Of Contents: What Is KDE Plot ? Where To Use KDE Plot ? Examples Of KDE Plot ? (1) What Is KDE Plot ? (2) What Is Kernel ? (3) What Is Density ? (4) Where To Use KDE Plot ? (4) Examples Of KDE Plot. Example-1: Age Distribution of Titanic Passengers import seaborn as sns import matplotlib.pyplot as plt # Load the Titanic dataset titanic = sns.load_dataset("titanic") # Create KDE plot for age sns.kdeplot(data=titanic, x="age", fill=True) # Add labels and title plt.xlabel("Age") plt.ylabel("Density") plt.title("Age Distribution of Titanic Passengers") # Show the plot plt.show()
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Seaborn – Histogram Plot Visualization
Seaborn – Histogram Plot Visualization Table Of Contents: What Is Histogram Plot ? Where To Use Histogram Plot ? Examples Of Histogram Plot ? (1) What Is Histogram Plot ? (2) Where To Use Histogram Plot ? (3) Examples Of Histogram Plot. Example-1: Age Distribution of Titanic Passengers. import seaborn as sns import matplotlib.pyplot as plt # Load the Titanic dataset titanic = sns.load_dataset("titanic") # Create the histogram for age ax = sns.histplot(data=titanic, x="age", bins=20, kde=True) ax.bar_label(ax.containers[0], fmt = '%.0f', padding = 3, label_type = 'edge') # Add labels and title plt.xlabel("Age") plt.ylabel("Frequency") plt.title("Age Distribution of Titanic Passengers") # Show
