Python Oracle Integration and Data Analysis

The purpose of this project is to show Oracle python integration and to analyze certain data using Python libraries. Two different simple interfaces are created for Oracle python integration and analysis. In the first user interface one can choose an enterprise and, when you enter the website details it retrieve the meta tags of the enterprise website. Also we get several things like website global rank, business percentage for particular enterprise and country rank of the particular enterprise website. And other data regarding the website is retrieved and displayed. And some other data is retrieved from the alexa.com, a website which ranks the websites and has several other data of each enterprise. The second interface is used to compare climate change data in San Diego. The data is cleaned and then used in the model. A number of locations in San Diego are explored, with different weather patterns. Once several other parameters like year, month and feature (Temperature, Precipitation/Rainfall and Atmospheric pressure) are chosen, the data can be analyzed. Output is displayed within the graphical user interface.;This application is developed to analyze the data. For verifying our tool we have analyzed it using climate data of San Diego. To show the integration of oracle python, the data is retrieved from the website and to analyze the website details. It can used for comparing any kind of data in a two dimensional graph.;The idea of creating such a tool is to help other analyze uses data using simple tools using simple graphical user interface. It makes it easy for users to understand climate trends in San Diego. Any kind of cleaned weather data taken from NCDC (National Climatic Data Center) can be used to analyze by this simple user interface. Also from the first user interface we can retrieve major data regarding an enterprise.