https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
Used libraries and functions as follows:
https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
barplot bivariate boxplot densityplot histogram jointplot matplotlib numpy pairplot pandas python seaborn-plots seaborn-tutorial stripplots swarmplot univariate violinplot visualization
Last synced: 7 months ago
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Used libraries and functions as follows:
- Host: GitHub
- URL: https://github.com/patilsukanya/p01.matplotlib-seaborn-titanic-dataset-visualization
- Owner: PatilSukanya
- Created: 2022-09-08T08:27:32.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-08T10:22:37.000Z (about 3 years ago)
- Last Synced: 2025-02-23T13:38:07.735Z (8 months ago)
- Topics: barplot, bivariate, boxplot, densityplot, histogram, jointplot, matplotlib, numpy, pairplot, pandas, python, seaborn-plots, seaborn-tutorial, stripplots, swarmplot, univariate, violinplot, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 1.63 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# P01.Matplotlib-Seaborn-Titanic-Dataset-Visualization
### Matplotlib:
Plotting two different categories: box plot, barplot, histogram
Plotting single category: Pie chart, bar chart
Different Plots: Scatter Plot Histogram Box Plot Violin Plot
### Seaborn:
Univariate → “one variable” data visualization
1.Strip Plot
2.Grouping with Strip Plot
3.Swarm Plot
4.Box and Violin Plot
placing plots together
Combining the plots
Bivariate → “two variable” data visualization
1.Joint Plot
2.Density Plot
3.Pair Plot
### Titanic Dataset:
Seaborn Visualization on Titanic Dataset Visual exploration of different features on No. of people survived or otherwise Visualization using FacetGrid function, Lambda function and criterion function Visualization of subplots