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Overview of my data science projects
data_science_projects's Introduction
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly & Cufflinks
- Geographical plotting with choropleth maps
- Data science capstone projects
- Creating, manipulating & visualising (multidimensional) arrays
- Series & DataFrames
- Missing Data
- Groupby
- Merging, Joining & Concatenating
- Operations
- Data Input & Output
- Business challenges I (data analysis & manipulation)
- Salary
- E-commerce purchases
- Built-in data visualisation
- Business challenges II (data visualisation)
- Plots (the OOP way) & subplots
- Figure size & DPI
- Saving plots
- Legends, labels & titles
- Colours, linewidths, linetypes & datapoint markers
- Plot range
- Special plot types
- Note: Seaborn may be better suited for these statistical plotting methods --> Please refer to 'Seaborn.ipynb'
- Business challenges & plot text annotation
- Distribution plots
- Categorical plots
- Matrix plots
- Grids
- Regression plots
- Style & colour
- Plotly: interactive visualizations
- Cufflinks: connects the Plotly library with the Pandas library
- Interactive plotting
- Lineplot
- Scatterplot
- Barplot
- Boxplot
- 3D-surface plot
- Histogram
- Spreadplot
- Bubbleplot
- Scatter matrix plot
Geographical plotting: choropleth maps
- Choropleth US map
- Choropleth world map
Data science capstone projects
- 911 Calls capstone project
- Finance capstone project
data_science_projects's People
Contributors
Watchers
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Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent