Introduction

This assignment will give you a chance to explore the topics covered in week 2 of the course by visualizing some data as a chart. The data set we provided deals with world temperatures and comes from NASA: http://data.giss.nasa.gov/gistemp/. Alternatively you can use any data that you would like to explore. You are not required to use D3.js, but if you would like to, we have provided some helpful resources that will make it easier for you to create a visualization. You are welcome to use the additional resources, especially if you do not want to program to complete this project.

Goals

The goal of this assignment is to give you some experience with handling and deciding how to visualize some data and for you to get a feel for the various aspects of the visualization.

Overview of the data

In this section we give an overview of the structure of the data, such as basic and summary statistics.

## 'data.frame':    135 obs. of  15 variables:
##  $ Year    : int  1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 ...
##  $ Glob    : int  -19 -10 -9 -19 -27 -31 -30 -33 -20 -11 ...
##  $ NHem    : int  -33 -18 -17 -30 -42 -41 -39 -37 -22 -16 ...
##  $ SHem    : int  -5 -2 -1 -8 -12 -21 -21 -28 -17 -6 ...
##  $ X24N.90N: int  -38 -27 -21 -34 -56 -61 -49 -46 -42 -25 ...
##  $ X24S.24N: int  -16 -2 -10 -22 -17 -17 -24 -27 7 4 ...
##  $ X90S.24S: int  -5 -5 4 -2 -11 -20 -20 -26 -33 -17 ...
##  $ X64N.90N: int  -89 -54 -125 -28 -127 -119 -124 -158 -141 -82 ...
##  $ X44N.64N: int  -54 -40 -20 -57 -58 -70 -43 -52 -43 -13 ...
##  $ X24N.44N: int  -22 -14 -3 -20 -41 -43 -38 -21 -22 -21 ...
##  $ EQU.24N : int  -26 -5 -12 -25 -21 -11 -24 -24 7 -3 ...
##  $ X24S.EQU: int  -5 2 -8 -19 -14 -23 -24 -31 8 11 ...
##  $ X44S.24S: int  -2 -6 3 -1 -15 -27 -18 -24 -30 -16 ...
##  $ X64S.44S: int  -8 -3 8 0 -5 -7 -21 -29 -38 -17 ...
##  $ X90S.64S: int  39 37 42 37 40 38 28 21 16 19 ...
##       Year           Glob             NHem              SHem          
##  Min.   :1880   Min.   :-47.00   Min.   :-52.000   Min.   :-47.00000  
##  1st Qu.:1914   1st Qu.:-20.00   1st Qu.:-21.500   1st Qu.:-22.50000  
##  Median :1947   Median : -8.00   Median : -2.000   Median : -9.00000  
##  Mean   :1947   Mean   :  1.63   Mean   :  3.326   Mean   : -0.07407  
##  3rd Qu.:1980   3rd Qu.: 17.50   3rd Qu.: 16.000   3rd Qu.: 25.00000  
##  Max.   :2014   Max.   : 75.00   Max.   : 91.000   Max.   : 59.00000  
##     X24N.90N          X24S.24N          X90S.24S          X64N.90N       
##  Min.   :-61.000   Min.   :-61.000   Min.   :-48.000   Min.   :-158.000  
##  1st Qu.:-26.000   1st Qu.:-22.000   1st Qu.:-26.000   1st Qu.: -47.500  
##  Median :  2.000   Median : -3.000   Median :-11.000   Median :   3.000  
##  Mean   :  5.415   Mean   :  1.926   Mean   : -2.704   Mean   :   9.022  
##  3rd Qu.: 21.000   3rd Qu.: 23.000   3rd Qu.: 21.000   3rd Qu.:  58.000  
##  Max.   :110.000   Max.   : 72.000   Max.   : 58.000   Max.   : 211.000  
##     X44N.64N          X24N.44N           EQU.24N         
##  Min.   :-70.000   Min.   :-57.0000   Min.   :-70.00000  
##  1st Qu.:-27.000   1st Qu.:-19.5000   1st Qu.:-23.50000  
##  Median :  0.000   Median : -8.0000   Median : -3.00000  
##  Mean   :  9.163   Mean   :  0.7111   Mean   :  0.08148  
##  3rd Qu.: 34.500   3rd Qu.: 13.5000   3rd Qu.: 19.50000  
##  Max.   :129.000   Max.   : 77.0000   Max.   : 72.00000  
##     X24S.EQU          X44S.24S           X64S.44S          X90S.64S       
##  Min.   :-55.000   Min.   :-43.0000   Min.   :-62.000   Min.   :-237.000  
##  1st Qu.:-22.000   1st Qu.:-23.0000   1st Qu.:-27.500   1st Qu.: -41.000  
##  Median : -3.000   Median : -9.0000   Median : -9.000   Median :   5.000  
##  Mean   :  3.748   Mean   :  0.7926   Mean   : -7.593   Mean   :  -5.119  
##  3rd Qu.: 29.500   3rd Qu.: 22.0000   3rd Qu.: 16.000   3rd Qu.:  37.500  
##  Max.   : 81.000   Max.   : 76.0000   Max.   : 38.000   Max.   : 136.000

Some answers

  1. What are your X and Y axes?

R: My axe ‘X’ will always be the variable year, and ‘Y’ will be the temperature measurements

  1. Did you use a subset of the data? If so, what was it?

R: Yes, in the first graph only use variable names were recognized and measures to graph them together

  1. Are there any particular aspects of your visualization to which you would like to bring attention?

R: Yes, there is a clear upward trend in the tempereatura levels over time, even in the hemispheres

  1. What do you think the data, and your visualization, shows?

R: It tells a story of how the temperature levels has increased over time and more drastically from the 60