Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
-
Updated
May 29, 2024 - Python
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.
Data visualization - qualitative & quantitative data (Airbnb listings for NY)
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Pump-up the glam in Jupyter Notebooks with innovative tools like Plotly, MatPlotLib and Seaborn.
These problems relate to Jupyter, numpy, and pyplot. We will use the famous iris data set. Save your work as a single Jupyter notebook file in a GitHub repository. Include any required data files, a README, and a gitignore file in the repository.
Exercise:1
Notebooks used to solve exercises brought by professor Gabriela Uhrigshardt, who teaches Programming Techniques II at Let's Code Data Science 815
Analysis of Air Quality in India before and after COVID-19 lock down. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx
In this notebook we would try to modify or transform our dependent variable to rectify the model and at last create a better suited regression model as compared to other. We will just take the natural logarithm of the dependent variable and it will solve the problem of conical spread of datapoints in standard residual plot. It means that our cur…
I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Panda’s dataframe. From there I used Matplotlib to create a series of scatter plots to s…
Add a description, image, and links to the scatter-plot topic page so that developers can more easily learn about it.
To associate your repository with the scatter-plot topic, visit your repo's landing page and select "manage topics."