1,199 skills found · Page 3 of 40
tushar2704 / PowerBI PortfolioWelcome to my personal Power BI portfolio repository! Here you will find a collection of Power BI projects and dashboards that demonstrate my skills and expertise in data visualization, business intelligence, and analytics using Power BI.
ManuhIsMe / Product Sales Analysis With PythonIn this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.
Avicted / Galaxy Visualization RaylibThis project visualizes 100,000 real galaxies in blue and 100,000 randomly distributed galaxies in red. The data is sourced from the GPU programming course at: Åbo Akademi University. Additional redshift survey data is also provided.
AhmadSabbirChowdhury / Microsoft AdventureWorks Database Analysis Visualization With PowerBII chose 'AdventureWorksLT2019.bak' and 'AdventureWorksLT2017.bak' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool.
kevinschaich / Billboard🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
sanusanth / Python Basic ProgramsWhat is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.
Zhu-Shatong / RailTrackerRailTracker is an efficient data collection, integration, and visualization system developed in Python, specifically designed for high-speed rail ticketing data. This project utilizes a meticulously designed web scraper to automatically collect real-time data on train stations, train schedules, and ticket prices, ensuring data accuracy.
khanhnamle1994 / Spotify Artists AnalysisAn exploratory data analysis and data visualization project using data from Spotify Web API
Knio / CarhackAutomotive data aquisition, logging, diagnostics, and visualization project. Focusing on CAN-bus and the Nissan 370Z
awjuliani / 3D TSNEA Unity project for visualizing t-SNE data in 3D.
Okes2024 / Renewable Energy Demand Forecasting Using Time SeriesThis project forecasts renewable energy demand using LSTM-based time series models. It processes historical demand data, trains predictive models, and visualizes future trends, enabling better planning and management
lida-project / Lida StreamlitExample project building a data visualization app using Streamlit and LIDA
LouisvilleMetro / WazeCCPProcessorWaze WARP takes your CCP data feed and processes it into your cloud provider for access, analysis, and visualization. An Open Government Coalition (OGC) project. @govintheopen
splunk / Corona VirusThis project includes an app that allows users to visualize and analyze information about COVID-19 using data made publicly-available by Johns Hopkins University. For more information on legal disclaimers, please see the README.
josiahseaman / FluentDNAFluentDNA allows you to browse sequence data of any size using a zooming visualization similar to Google Maps. You can use FluentDNA as a standalone program or as a python module for your own bioinformatics projects.
Dogiye12 / CO Emissions Heatmap From Power PlantsThis project creates an interactive heatmap to visualize CO₂ emissions from power plants using geospatial data. It helps identify high-emission areas, supporting environmental monitoring, energy policy decisions, and climate impact assessments.
NatLabRockies / WexWEX, which is short for WxWidgets Extensions, is a cross-platform library of graphical user interface tools that extends the popular open-source project WxWidgets. WEX includes many features including the powerful DView program (https://github.com/NREL/wex/wiki/DView), which provides an easy-to-use way to visualize complex time series data.
gilbertfontana / DataVisualizationVarious data visualization projects.
Okes2024 / Air Quality Index Prediction Using ML And IoT Sensor DataThis project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, computes AQI, trains multiple models, and provides evaluation metrics and visualizations for real-time air quality monitoring and decision-making support.
meghnalohani / Resume Scoring Using NLPThe objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various required skills (example : Machine Learning, Data Science, Software developer, Programming) are given as input, Sketch Engine creates a corpus from the useful data available on the given links. Word Embeddings are created from the corpus and these are used to match the skills in the candidate resume with the required skills. Finally, the candidate profile is built and plotted as a bar graph for better visualization.
