Data Analytics

Here are my data analytics related works.
I only update this repo occasionally, for records keeping purposes.
For more information please check my Kaggle page, thanks!

Projects

1. Data-exploration-with-pandas: Learn the basic concept and functions of pandas module, get used to .ipynb notebook enviroment.
   Google Colab
   

2. Data-visualization-matplotlib: Performed EDA on dataset using pandas then learn the basic functions and methods of matplotlib lib, analyze programming language trends using StackExchange query data.
   Google Colab
   
   

3. Data-aggregate-and-merge-data-with-pandas: Diving deep into a dataset all about LEGO, which will help us answer a whole bunch of interesting questions about the history of the company, their product offering, and which LEGO set rules them all. Keep diving into pandas module and learning agg, groupby, merge methods and how to format and beautify MD file with HTML.
   Google Colab
   
   

4. Resampling-and-visualizing-time-series-data: Investigate how search volume for various topics related to their prices or values, through pandas and matplotlib libraries.
   Google Colab
   
   

5. Plotly-analyzing-Google-playstore-appdata: Wrestle the Android App Store Data into Beautiful Looking Charts with Plotly.
   Google Colab
   
   
   
   
   

6. Computation-with-Numpy: Review basic numpy methods and functions, including arange, linspace, np.random.random, image manipulation using array and the concept of scalar and broadcasting- "NumPy will make the shape of the smaller array - our scalar - compatible with the larger array".
   Google Colab
   
   
   
   

7. Linear-Regression-with-scikit-learn-and-seaborn: Dive into movie box office data and explore the relationship between move production budget and its gross income, using linear regression from scikit-learn and plot beautiful graphs using matplotlib + seaborn.
   Google Colab
   
   

8. Analyze-Nobel-prize-with-plotly-matplotlib-seaborn: Analyse a dataset on the past winners of the Nobel Prize using pandas and numpy, viz with plotly, matplotlib and seaborn.
   Google Colab
   
   
   
   
   

9. Analysis-of-Handwashing-Ttests-and-Distributions: Analyzing the effect of Dr. Ignaz Semmelweis's implementation of handwashing for Vienna General Hospital in 1840s, using t-tests and distributions.
   Google Colab
   
   
   
   

10. Predict-Boston-Housing-Price: using multivariate regression and valuation model from scikit-learn package.
    Google Colab