can also be extracted as static images for PDF reports, breaking the link between data and report. Specialist visualisation tools generally provide more options for Available visualisations are limited by the options richer visualisations/types of charts. The default visualisations in MS Excel. can be interacted with, for example, (cross) filtering options, hover/pop up information and highlights. Updating data in charts and tables involves Any interactive reports can be quickly refreshed to reflect the updating the data model and reissuing any PDF updated data (including subsequent years’ data) reports. Types of visualisation We provide below a preliminary draft list of visualisations and forms that we plan to include in the NWR 2018. The list is not intended to be comprehensive or final there will inevitably be a degree of and – error in building the visualisations in the NWR 2018. Blue Environment will ensure the Department is kept informed of these trials and any proposed changes. Note that the planned graphics respond to stakeholder feedback as well as Little Sketches’ specialist review. Agreement We will rely mainly on the visualisation tabulated below. Visualisation types for the NWR 2018 Description for NWR 2018 Contrast with approach in NWR Type (illustration taken from NWR 2016) 2016 Data is mixed with icons to represent elements such as Not used Infographics factories, houses, trucks and landfills Sankey Flow data with arrow widths proportional to flow size (in Not used infographics tonnes) is mixed with icons see Figure 13 – Different colours (see Section 4.5.4) Will not show data (see Section 4.5.5) Stacked bar Lighter lines charts Direct labelling where possible Will not show recovery rate data addressed – separately See Figure 9. Different colours (see Section 4.5.4) Small We plan to use a line chart above the multiples’ ‘small multiples display to show capita’ trends’ where appropriate Will not show data (see ‘per charts + line Section 4.5.5) charts Per capita rates shown in a smaller chart directly above
can also be extracted as static images for PDF reports, breaking the link between data and report. Specialist visualisation tools generally provide more options for richer visualisations/types of charts. The default visualisations can be interacted with, for example, (cross) filtering options, hover/pop up information and highlights. Available visualisations are limited by the options in MS Excel. Any interactive reports can be quickly refreshed to reflect the updated data (including subsequent years’ data) Updating data in charts and tables involves updating the data model and reissuing any PDF reports. Types of visualisation We provide below a preliminary draft list of visualisations and forms that we plan to include in the NWR 2018. The list is not intended to be comprehensive or final – there will inevitably be a degree of and error in building the visualisations in the NWR 2018. Blue Environment will ensure the Department is kept informed of these trials and any proposed changes. Note that the planned graphics respond to stakeholder feedback as well as Little Sketches’ specialist review. Agreement We will rely mainly on the visualisation tabulated below. Visualisation types for the NWR 2018 Type Description for NWR 2018 (illustration taken from NWR 2016) Contrast with approach in NWR 2016 Infographics Data is mixed with icons to represent elements such as factories, houses, trucks and landfills Not used Sankey infographics Flow data with arrow widths proportional to flow size (in tonnes) is mixed with icons – see Figure 13 Not used Stacked bar charts Different colours (see Section 4.5.4) Will not show data (see Section 4.5.5) Lighter lines Direct labelling where possible Will not show recovery rate data – addressed separately Small multiples charts + line charts See Figure 9. We plan to use a line chart above the ‘small multiples’ display to show ‘per capita’ trends’ where appropriate Different colours (see Section 4.5.4) Will not show data (see Section 4.5.5) Per capita rates shown in a smaller chart directly above
improving-national-waste-data-and-reporting.docx