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Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.\nContents\n1. Bar Plot\n2. Scatter Plot\n3. Box Plot\n4. pie plot\n5. count plot\n6. swarm plot\n8. Histogram\n9. Heatmaps\nAnd More...\n\n## Bar Plot\n\n Bar plots are useful for visualizing categorical data with rectangular bars representing the quantities or frequencies of each category.\n\n## Scatter Plot\n\n Scatter plots display individual data points as markers, allowing for the visualization of relationships between two variables.\n\n## Box Plot\n\n Box plots provide a graphical summary of the distribution of data, including median, quartiles, and outliers.\n\n## Histogram\n\n Histograms represent the distribution of a continuous variable by dividing the data into bins and displaying the frequency of each bin.\n\n## Heatmaps\n\n Heatmaps visualize data in a matrix format, where colors represent values, making it easy to identify patterns and trends.\n\nAnd More...\n Explore additional visualizations and techniques in the repository to enhance your data visualization skills!\n ## [Ahmad Ali CV](https://drive.google.com/file/d/1bNLIx1j85e8ax21ZEC0DPt5C1at8vHjv/view?usp=sharing)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmad-ali-rafique%2Fpyviznotebook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahmad-ali-rafique%2Fpyviznotebook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahmad-ali-rafique%2Fpyviznotebook/lists"}