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Web-Based Visualization Application
Part1:
| Visualization
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Methodology & Technique
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Usage
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| insert image of line chart
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- Chart type: Line chart & trellis plot
- R Package: ggplot2, plotly
- Interactivity: Use selectInput to control plot and segment by different timelevels, eg. Date, day of week, and hour
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- Line chart without trellis (segment=None) can be used to analyze the daily/weekly/hourly pattern of footfalls.
- Trellis plot can be used to detect the cycling pattern over time.
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| insert image of chord diagram
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- Chart type: Chord diagram
- R Package: chorddiag
- Interactivity: Set specific datetime using selectIput and sliderInput to view the traffic transfer across floors.
Hover to each floor to see the destination of its outflow traffics.
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- Analyze traffic flow across floor for specific datetime selection
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| insert image of hexbin map
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- Chart type: Hexagonal binning map
- R Package: hexbin, ggplot, plotly
- Key parameter setting: number of bins is set to 50
- Interactivity: Set specific datetime using selectIput and sliderInput to view the traffic density on each floor.
Click on specific hexbin to investigate members identity.
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- Analyze traffic density of floors for specific datetime selection
- Drill down to shoppers’ identity based on interested density area
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Part2:
| Visualization
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Methodology & Technique
|
Usage
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| insert image of sunburst
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- Chart type: Sunburst diagram
- R Package: sunburstR
- Interactivity: Set radio button to view the journey of different member segments.
Set minimum dwell time using sliderInput to exclude passing-by floors.
Hover to see the path and relevant statistics.
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- Investigate popular shopping path of members based on floors.
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| insert image of treemap
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- Chart type: Treemap
- R Package: treemap, highCharter
- Interactivity: Set radio button to view the journey of different member segments.
Click on floor level to drill down to store level.
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- Analyze members’ average dwell time on each floor and store.
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| insert image of boxploter
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- Chart type: Boxplot
- R Package: plotly
- Key parameter setting: number of bins is set to 50
- Interactivity: Click on the treemap to get the relevant boxplot for selected floor.
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- Analyze dwell time distribution of each store based on floor selection on treemap.
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| insert image of bar chart
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- Chart type: Bar chart
- R Package: plotly
- Interactivity: Select on the boxplot distribution to view the demographic of interested members.
Set the ‘profile count by’ parameter to decide the y-axis of bar plots.
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- Analyze members’ profile based on selection of their dwell time distribution. For example, we may analyze the high time spender of a specific store to see if they are of similar demographic.
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Part3:
| Visualization
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Methodology & Technique
|
Usage
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| insert image of bar
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- Chart type: Bar chart
- R Package: ggplot, plotly
- Interactivity: Set date range using radio button to see the plot of different months.
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- Investigate popular shopping path of members based on floors.
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| insert image of quadrant
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- Chart type: Scatter plot
- R Package: arules, ggplot, plotly
- Interactivity: Set date range using radio button to generate association rules based on different month’s transactions.
Set parameters (support/confidence/min items) to generate valid associations rules and render plot.
Hover over the bar to fade out non-relevant rules in the quadrant.
Hover over the network to fade out non-relevant rules in the quadrant.
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- Analyze the competitive position of different rules based on set parameters.
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| insert image of network
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- Chart type: Network
- R Package: visNetwork
- Interactivity: Set date range using radio button to plot rules of different months.
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- Visualize the associations among departments.
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