During the lecture, we looked at many of the different types of charts we can use including pie, bar, scatter, line and bubble charts to present information. this allows the user to understand the information more easily and makes it more presentable and aesthetically pleasing to the eye. we looked at many different charts from the first made to the unrecognisable charts like the Underground. I thought that the periodic table was a fun chart as it presented the elements more easily and was much easier to understand than if they were presented in a list. also, I found the chart of mortality that Florance Nightingale made during the war as it showed the death rates before and during the war and you can see the extent of the death.

Charts Glossary

• trend - graphical representations for showing how the value of one or more items changes over time
• correlations -Features shown on charts change, either because they are man-made, or due to natural changes.
• outliers - an outlier is a data point that differs significantly from other observations

Data Types

• quantitive data - collection and analysis of data
• discrete - Data that can only take certain values
• continuous -  data that can take any value
• categorical - variable that can take on one of a limited, and usually fixed, number of possible values

charts types

• bar charts
  • horizontal labels
  • 1/2 bars width
  • y-axis at 0
  • consistent colours
  • order data

• line graphs

  • no more than 4 line
  • solid only
  • label lines
  • zero as baseline
  • use the right height

  

• scatter

  • a large amount of data
  • y-axis at zero
  • incluse more varibles
  • use trend lines
  • no more than two trend lines

  

• bubble charts

  • labels are viable
  • size bubble appropriability
  • only circle

  

• heat charts

  • simple ma outline
  • appropriate colours
  • patterns sparingly

• pie

  • comparisons
  • doughnut chart
    • no more than 5 category
    • don’t use to compare
    • data adds up to 100
    • order sections