// October 4, 2022 Assignment 4 Data Visualization

// Abigail Mata-Hernandez

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// Description: This code attempts to create a data visualization about annual global temperature means in celcius from 1880 to the present

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// I chose this data set randomly from datahub.io

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// Inspiration: Class, The Coding Train,

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let table;

let numRows, numCols;

let date = []; mean = [];

let diagramX, diagramY;

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function preload() {

  table = loadTable("annual_csv.csv", "csv", "header");

}

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function setup() {

  createCanvas(400, 400);

  background(220);

  // print(table); // check if loads table

  numRows = table.getRowCount();

  numCols = table.getColumnCount();

  //print("rows:" + numRows + "cols;"+ numCols)

​

  // load data

  for (let r = 0; r<table.getRowCount(); r++) {

    date[r] = table.getString(r, 0);

    mean[r] = table.getNum(r, 1);

  // print(date[r] + " " + mean[r])

  }

    // const name = table.getString(r, "Source");

    // const year = table.getNum(r, "Year");

    // const x = random(0, width);

    // const y = random(0, height);

    // circle(x, y, year);

    // text(name, x, y);

    // console.log(name);

  minMax();

 }

​

function draw() {

 background(240);

​

​

}

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let dataMin, dataMax= 0;

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function minMax() {

  for(let i=0; i<numRows; i++){

    if(table.getNum(i,1)>dataMax){

      dataMax = table.getNum(i,1);

    }

  }

  dataMin = dataMax;

   for(let i=0; i<numRows; i++){

    if(table.getNum(i,1)<dataMin){

      dataMin = table.getNum(i,1);

    }

}

  print("max value " + dataMax + "min value " + dataMin)

}