How to Create Geocharts

HEAVY․AI
19 Jul 202305:01

TLDRIn this informative session, Patrick Wilson, a solution architect with expertise in AI, demonstrates how to integrate Geo charts into an immersive dashboard. He showcases a Seattle Telco Market customer metric dashboard, highlighting the use of geospatial data to visualize building signal quality and customer satisfaction. Wilson adeptly guides viewers through the process of adding various geospatial elements such as Point Maps, Line Maps, and Chloropleth maps, emphasizing the importance of cross-filtering and color scale locking for detailed analysis. His approach enables a comprehensive understanding of infrastructure needs for improving signal quality and customer satisfaction.

Takeaways

  • 📊 Patrick Wilson, a solution architect, demonstrates how to create Geo charts in an immersive dashboard.
  • 🏙️ The dashboard displays information on buildings in a specific market area, including aggregated Net Promoter Scores and building types.
  • 🌐 Geo charts add geospatial context to the data, enhancing the understanding of signal quality and customer metrics.
  • 🖼️ Options for Geo charts include Point Maps, Line Maps, Chloropleth Maps, and Contours.
  • 🏢 A Chloropleth Map is chosen to represent building signal quality using a color range for Max Signal values.
  • 🎨 The color palette can be adjusted to better visualize data, with opacity changes for layer transparency.
  • 🔍 Pop-up values can be customized to display relevant metrics when hovering over map elements.
  • 🔒 Locking the color scale range allows for consistent color segmentation and values across different zoom levels.
  • 🛤️ Additional layers, such as a Line Map representing fiber backbone, can be added for further geospatial analysis.
  • 📍 Point Maps can be used to overlay additional data, like US Towers, and can be customized for size, shape, and color.
  • 🔍 Combining multiple data types in a single Geo chart enables detailed proximity and infrastructure analysis for signal quality improvement decisions.

Q & A

  • What is Patrick Wilson's role in the presentation?

    -Patrick Wilson is a Solution Architect with expertise in AI, and he is presenting how to build Geo charts in an immersive dashboard.

  • What type of dashboard is being discussed in the presentation?

    -The dashboard discussed is a Seattle Telco Market customer metric dashboard that displays information about buildings in a specific market area, including aggregated Net Promoter Scores and building types.

  • Why is there a need to add a Geo chart to the dashboard?

    -A Geo chart is needed to provide geospatial context to the data, which was previously lacking, allowing for a better understanding of the spatial relationships between buildings and their signal quality.

  • What types of Geo charts can be added to the dashboard?

    -The types of Geo charts that can be added include Point Maps, Line Maps, Chloropleth Maps, and Contours.

  • How does the chloropleth map represent signal quality?

    -The chloropleth map uses a color range representation to indicate Max signal for each building, with lighter colors signifying better signal quality and darker colors indicating poorer signal quality.

  • What is the purpose of adjusting the layer opacity in the Geo chart?

    -Adjusting the layer opacity allows for more transparency or less, depending on the user's preference, which can help in better visualizing the data underneath or alongside other layers.

  • How does the pop-up value enhance the user experience in the Geo chart?

    -The pop-up value provides additional information when hovering over a specific area in the map view, offering insights into the data points without having to navigate away from the chart.

  • What is the benefit of cross-filtering in geocharts?

    -Cross-filtering allows for interaction between the Geo chart and other charts in the dashboard, so that changes in the map extent result in corresponding changes in the data aggregation and response in other charts, enhancing data analysis.

  • How can the color scale range be locked to maintain consistency when zooming in the Geo chart?

    -By locking the color scale range using the chart bar chart at the bottom left, the same values and color segmentation are retained even when the map is zoomed in or out, ensuring consistency in the data representation.

  • What additional data types and layers can be added to the Geo chart for further analysis?

    -Additional data types such as Line Maps (for fiber backbone representation) and Point Maps (for cell towers) can be added to the Geo chart. These layers can be customized with different colors, opacities, and pop-up information for enhanced geospatial analysis.

  • How does the combination of different data types in a single Geo chart aid in infrastructure investment decisions?

    -By combining data from various sources in a single Geo chart, it becomes easier to perform proximity analysis and identify areas with poor signal quality and low Net Promoter Scores, guiding decisions on where to increase infrastructure investment for improvements.

Outlines

00:00

📊 Introduction to Geo Charts in Dashboard

Patrick Wilson, a solution architect with expertise in AI, introduces the process of creating Geo charts within a dashboard. The example used is a Seattle Telco Market customer metric dashboard that displays aggregated net promoter scores for buildings in a specific market area, differentiated by type (commercial or residential). The script explains the current lack of geospatial context and the goal to add a Geo chart to enhance this.

🌐 Adding a Chloroplath Map to Visualize Signal Quality

The script details the steps to add a chloroplath map to the dashboard, selecting a buildings layer as the source and using a Geo column called 'geom' as the measure. It explains how to differentiate buildings based on Max signal, which provides a color range representation of signal quality. The script also covers adjusting the layer opacity and adding pop-up values for more information when hovering over the map.

🔄 Cross Filtering and Locking Color Scale Range

This part of the script discusses the cross-filtering capabilities of geocharts, allowing for interaction with other charts in the dashboard. It explains how changes in the map extent affect the data aggregation, and how to lock the color scale range using a chart bar to maintain consistent color segmentation and values when zooming in or out.

🛠️ Adding Layers for Fiber Backbone and US Towers

The script continues by guiding through the addition of a line map representing the fiber backbone in downtown Seattle, colored by carrier. It then describes the process of adding a point map for US Towers, adjusting point size and shape, and coloring by type. The integration of these three data types into a single Geo chart view is emphasized, highlighting the ability to perform proximity analysis and identify areas requiring infrastructure investment for improved signal quality and net promoter scores.

Mindmap

Keywords

💡Solution Architect

A solution architect is a professional who designs and oversees the implementation of technology solutions that meet specific business requirements. In the context of the video, Patrick Wilson is a solution architect with expertise in AI, indicating his role in creating and managing technology solutions, particularly those involving artificial intelligence, to address business challenges.

💡Geo Charts

Geo Charts are visual representations of data that are mapped onto geographical locations. They allow users to analyze and understand spatial relationships and patterns within the data. In the video, the focus is on integrating Geo charts into a dashboard to provide geospatial context for customer metrics and signal quality in the Seattle Telco Market.

💡Immersive Dashboard

An immersive dashboard is an interactive tool that presents data and visualizations in an engaging and user-friendly manner. It often includes features that allow users to explore and interact with the data, providing deeper insights and a comprehensive understanding of the information. In the video, the dashboard is used to display various metrics and geospatial data related to the Seattle Telco Market.

💡Net Promoter Score (NPS)

Net Promoter Score is a metric used to gauge customer loyalty and satisfaction. It is calculated by asking customers if they would recommend a product or service to others, and then categorizing their responses into promoters (positive), detractors (negative), and passives (neutral). In the video, NPS is one of the aggregated metrics used to assess customer satisfaction in specific market areas.

💡Building Signal

Building signal refers to the quality and strength of a telecommunications signal within a particular building. This is an important aspect for telco companies as it directly affects customer experience and satisfaction. In the video, pre-analyzed building signal data is used to differentiate the quality of service in commercial and residential buildings.

💡Chloropleth Map

A chloropleth map is a type of thematic map that uses color gradients to represent data values across different regions or areas. It is commonly used to visualize geographic information, such as population density or average income. In the video, a chloropleth map is added to the dashboard to color-code buildings based on their Max signal, indicating signal quality.

💡Max Signal

Max Signal refers to the highest level of signal strength detected within a given area. In the context of the video, it is used as a measure to color-code buildings on the Geo chart, with lighter colors indicating better signal quality and darker colors indicating poorer signal quality.

💡Layer Opacity

Layer opacity is a setting that controls the transparency of layers in a visual representation, such as a map or chart. Adjusting the opacity allows users to see through or叠 on top of other layers, which can be useful for comparing data or highlighting specific information. In the video, the layer opacity is adjusted for the fiber backbone layer on the Geo chart.

💡Cross Filtering

Cross filtering is a feature in data visualization that allows users to interact with multiple charts or tables simultaneously. Changes in one view, such as filtering or selecting data, are automatically reflected in the other views, providing a cohesive analysis experience. In the video, cross filtering is used to联动 the Geo chart with other charts on the dashboard, ensuring that changes in one chart affect the others, maintaining data consistency.

💡Fiber Backbone

Fiber backbone refers to the main infrastructure of a telecommunications network that consists of fiber optic cables. It is the foundation for high-speed internet and data transmission services. In the video, a line map representing the fiber backbone in downtown Seattle is added to the Geo chart to analyze the proximity of the fiber network to areas with poor signal quality.

💡Point Map

A point map is a type of geospatial visualization that displays data points on a map. Each point typically represents a specific location or entity, and can be used to show the distribution of a particular feature or attribute. In the video, a point map of US towers is added to the Geo chart to analyze the types of towers and their proximity to areas with poor signal quality.

Highlights

Patrick Wilson, a solution architect, is presenting on building Geo charts in dashboards.

The focus is on a Seattle Telco Market customer metric dashboard.

The dashboard shows information about buildings with aggregated net promoter scores.

Differentiation is made between commercial and customer residential buildings.

Geospatial context is lacking in the current dashboard.

A Geo chart is added to provide geospatial context.

A chloroplath map is chosen to represent building signal quality.

Building footprints are represented with a Geo column called 'geom'.

Max signal is used for color range representation of signal quality.

Color palette and layer opacity can be adjusted for visual preferences.

Pop-up values can be included for interactive data insights.

Geo charts enable cross-filtering with other charts in the dashboard.

The color scale range can be locked for consistent value segmentation.

A line map of fiber backbone in downtown Seattle is added for analysis.

The fiber backbone layer is overlaid onto the Geo chart for proximity analysis.

A point map of US towers is added for further geospatial data.

Three different types of data are conflated into a single chart view.

The analysis aims to improve signal quality and net promoter scores through infrastructure investment.