Using this Python notebook you will: 1.Understand 3 Chicago datasets 2.Load the 3 datasets into 3 tables in a Db2 database 3.Execute SQL queries Understand the datasets To complete the assignment problems in this notebook you will be using three datasets that are available on the city of Chicago's Data Portal: 1.Socioeconomic Indicators in Chicago 2.Chicago Public Schools 3.Chicago Crime Data 1. Socioeconomic Indicators in Chicago This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” for each Chicago community area, for the years 2008 – 2012. For this assignment you will use a snapshot of this dataset which can be downloaded from: https://ibm.box.com/shared/static/05c3415cbfbtfnr2fx4atenb2sd361ze.csv A detailed description of this dataset and the original dataset can be obtained from the Chicago Data Portal at: https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-in-C/kn9c-c2s2
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Extracting essential data from a dataset and displaying it is a necessary part of data science; therefore individuals can make correct decisions based on the data. In this assignment, you will extract some essential economic indicators from some data, you will then display these economic indicators in a Dashboard. Gross domestic product (GDP) is a measure of the market value of all the final goods and services produced in a period. GDP is an indicator of how well the economy is doing. A drop in GDP indicates the economy is producing less; similarly an increase in GDP suggests the economy is performing better. In this lab, you will examine how changes in GDP impact the unemployment rate.
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This is a mathematical Eco System Modeling Project class of MATH-142 in FALL 2016 at UCLA. It was being with the professor Alexey Miroshinkov. The reference of this project is Haberman, R., Mathematical Models, Society for Industrial and Applied Mathematics. Instructions To plot phase trajectories ( asked in the exercises below) use any computer software capable of plotting vector fields or isoclines (for instance MatLab or Mathematica). Predator-Prey Model Interpretation Competition Model Interpretation Mutualism Model Interpretation
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The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970.[1] The game is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves.
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