Analyzing and Visualizing Large Datasets
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Updated
Oct 26, 2021 - Jupyter Notebook
Analyzing and Visualizing Large Datasets
📊🇫🇷 Datavisualization about french wedding during 2018 and 2019
A visual analysis using linear regression, r-values, geoViews, and Geoapify to examine weather changes as the equator is approached. Results are used to create a map displaying the most pleasant vacation spots.
Housing Rental Analysis for San Francisco
Views to display and interact with geographical objects and cartographic layers for UI
The main objective of this App is to visualize and analyze the housing rental market datafor San Francisco into the below areas so that a person can make an investment decision. For example, you can look for areas that demand high $$ for rent but you can buy at a lower sale price per square foot.
Performed analysis, visualization, and statistical analysis on weather data for a hypothetical travel company, PlanMyTrip.
Map visualisations of cities and accommodation across 500 random locations, along with weather conditions and their relationship to latitude.
Conduct world weather analysis using APIs and build custom maps for travel industry
Used the OpenWeatherMap API to show weather information and visualize cities in a world map
An application of technology to real-estate markets, is an innovative domain in the fintech industry. Assume that you’re an analyst at a proptech company that wants to offer an instant, one-click service for people to buy properties and then rent them. The company wants to have a trial of this offering in the San Francisco real-estate market.
In this assignment, I'll use numerical/visual aggregation, interactive visualizations, widgets, and explore the geospatial relationships in the data by using interactive visualizations with hvPlot and GeoViews.
Python API Analysis of Weather and Vacation Stay.
Analyzing and Visualizing Large Datasets
Use your data visualization skills, including aggregation, interactive visualizations, and geospatial analysis, to find properties in the San Francisco market that are viable investment opportunities.
Add a description, image, and links to the geoviews topic page so that developers can more easily learn about it.
To associate your repository with the geoviews topic, visit your repo's landing page and select "manage topics."