Analytics
Gain valuable insights and make data-driven decisions with ease using the Analytics Page. Whether you're exploring trends in death certification, analyzing demographic patterns, or assessing jurisdictional data, our intuitive interface enables seamless navigation and exploration. Here’s how to explore key data analytics categories, apply comprehensive filters, and download insights for informed decision-making:
Navigation
Instant Dashboard Creation
Explore Data Categories
Filtering
Download Insights
Stay Updated
Next Steps
To access the Analytics page, open a workspace and click on the Analytics tab to view various dashboards.
Upon uploading your data, the Analytics Page instantly generates a dynamic dashboard, providing visual representations of critical data points across categories such as Death Certification, demographics, and jurisdiction.
Begin your analysis by selecting a data category of interest, such as death certification, demographics, jurisdiction or table view. Each category offers detailed insights and visualizations to help you understand trends and patterns.
A filter is a tool used to refine and focus data analysis by selecting specific criteria to include or exclude certain data points. It's important because it allows users to extract meaningful insights from large datasets, saving time and effort by narrowing down information to what's relevant to their analysis. Users can filter data in three different ways: 1) Quick text search, 2) Drill down into data with one click, or 3) Utilize the Advanced Filter Bar for more complex filtering criteria. Once a filter is added, it applies across all data categories, ensuring consistency in analysis and enabling users to explore relationships and patterns comprehensively.
Now that we understand the importance of filtering in data analysis, let's explore the three different methods available for filtering within our platform:
Use the quick text search filters to refine your analysis based on specific keywords related to manner or cause of death.
With just one click, you can drill down further into the data, gaining deeper insights and uncovering valuable trends. Explore individual data points or segments to understand underlying patterns and correlations by simply clicking on the value(s) in the chart(s) that you want to apply a filter for.
For more precise customization of your analysis, utilize the advanced filter bar. Users can utilize filter operators to precisely tailor their data analysis, enabling them to isolate specific subsets of information based on criteria such as equality, patterns, numerical thresholds, or inclusion/exclusion, thus facilitating deeper insights and informed decision-making.
Understanding filter operators is crucial for users to refine their data analysis effectively. Let's delve into what each operator means and how it can be applied in our analytics platform:
Is: This operator helps you precisely pinpoint specific data by checking if two values are exactly the same. It's like asking, "Are these two pieces of information identical?"
Is not: This operator allows you to filter out data that doesn't match your criteria. It's useful for finding differences between datasets. For example, you might use it to ask, "Are these two pieces of information different?"
Contains: When you use the "Contains" operator, you're searching for data that matches a particular pattern. It's handy for finding similar words or phrases within your health data. For instance, if you're examining mortality records, you could use it to find all cases where the cause of death includes a specific keyword or phrase, such as "fentanyl" or "gunshot".
In: The "In" operator allows you to filter data based on whether it falls within a specified set of values. For instance, if you're analyzing mortality data, you could use it to identify cases where the manner of death is within a predefined list of categories such as "natural", "accident", or "homicide."
Not in: This operator is the opposite of "In." It helps you exclude data that matches certain criteria. For example, if you're exploring demographic information, you could use it to filter out individuals who do not belong to specific racial categories by specifying races that are not included in a given list.
Health Data Explorer now offers the ability for Workspace Owners and Admins to save, edit, and delete filter queries as templates on the analytics page, making it easier to reuse filters for frequently used criteria. Workspace Users and Contributors can also apply these saved templates, enhancing efficiency and consistency across your data analysis.
To save a filter template:
Create your filter query using the advanced filter bar.
Once the filter is set, click the "Save Template" button.
Enter a name for your template in the prompt that appears, then click "Save."
To apply a saved filter template:
Open the advanced filter bar then click "Add Filter."
Select the "Saved Templates" option.
Choose your desired template from the list, and then click apply.
Workspace Owners and Admins can manage their saved templates by clicking on the "Manage Templates" button. Here, you can edit or delete existing templates as needed, ensuring that your workspace's filter options remain relevant and up-to-date.
This functionality streamlines the filtering process, allowing users to quickly apply consistent criteria across different datasets and analyses within the workspace.
Once you've conducted your analysis, click the “Export to PDF” button to download your insights in PDF format for easy sharing and collaboration among stakeholders.
Additionally, you can download individual charts as SVG, PNG, or CSV files for further analysis.
These download features ensures seamless communication and dissemination of key findings.
Return to the Analytics Page regularly to stay updated on evolving trends and patterns, ensuring you remain informed and proactive in your data-driven approach.
For more detailed case data, transition to the cases page where you can view comprehensive information on individual cases and further analyze specific details such as victim statistics, diagnosis, toxicology results, locations, and more.
Navigation
Instant Dashboard Creation
Explore Data Categories
Filtering
Download Insights
Stay Updated
Next Steps
Navigation
To access the Analytics page, open a workspace and click on the Analytics tab to view various dashboards.
Instant Dashboard Creation
Upon uploading your data, the Analytics Page instantly generates a dynamic dashboard, providing visual representations of critical data points across categories such as Death Certification, demographics, and jurisdiction.
Explore Data Categories
Begin your analysis by selecting a data category of interest, such as death certification, demographics, jurisdiction or table view. Each category offers detailed insights and visualizations to help you understand trends and patterns.
Filtering
A filter is a tool used to refine and focus data analysis by selecting specific criteria to include or exclude certain data points. It's important because it allows users to extract meaningful insights from large datasets, saving time and effort by narrowing down information to what's relevant to their analysis. Users can filter data in three different ways: 1) Quick text search, 2) Drill down into data with one click, or 3) Utilize the Advanced Filter Bar for more complex filtering criteria. Once a filter is added, it applies across all data categories, ensuring consistency in analysis and enabling users to explore relationships and patterns comprehensively.
Now that we understand the importance of filtering in data analysis, let's explore the three different methods available for filtering within our platform:
Utilize Quick Text Search Filters
Use the quick text search filters to refine your analysis based on specific keywords related to manner or cause of death.
Drill Down into Data
With just one click, you can drill down further into the data, gaining deeper insights and uncovering valuable trends. Explore individual data points or segments to understand underlying patterns and correlations by simply clicking on the value(s) in the chart(s) that you want to apply a filter for.
Apply Advanced Filtering
For more precise customization of your analysis, utilize the advanced filter bar. Users can utilize filter operators to precisely tailor their data analysis, enabling them to isolate specific subsets of information based on criteria such as equality, patterns, numerical thresholds, or inclusion/exclusion, thus facilitating deeper insights and informed decision-making.
Filter Operators
Understanding filter operators is crucial for users to refine their data analysis effectively. Let's delve into what each operator means and how it can be applied in our analytics platform:
Is: This operator helps you precisely pinpoint specific data by checking if two values are exactly the same. It's like asking, "Are these two pieces of information identical?"
Is not: This operator allows you to filter out data that doesn't match your criteria. It's useful for finding differences between datasets. For example, you might use it to ask, "Are these two pieces of information different?"
Contains: When you use the "Contains" operator, you're searching for data that matches a particular pattern. It's handy for finding similar words or phrases within your health data. For instance, if you're examining mortality records, you could use it to find all cases where the cause of death includes a specific keyword or phrase, such as "fentanyl" or "gunshot".
In: The "In" operator allows you to filter data based on whether it falls within a specified set of values. For instance, if you're analyzing mortality data, you could use it to identify cases where the manner of death is within a predefined list of categories such as "natural", "accident", or "homicide."
Not in: This operator is the opposite of "In." It helps you exclude data that matches certain criteria. For example, if you're exploring demographic information, you could use it to filter out individuals who do not belong to specific racial categories by specifying races that are not included in a given list.
Filter Templates
Health Data Explorer now offers the ability for Workspace Owners and Admins to save, edit, and delete filter queries as templates on the analytics page, making it easier to reuse filters for frequently used criteria. Workspace Users and Contributors can also apply these saved templates, enhancing efficiency and consistency across your data analysis.
Save a Filter Template
To save a filter template:
Create your filter query using the advanced filter bar.
Once the filter is set, click the "Save Template" button.
Enter a name for your template in the prompt that appears, then click "Save."
Apply a Saved Template
To apply a saved filter template:
Open the advanced filter bar then click "Add Filter."
Select the "Saved Templates" option.
Choose your desired template from the list, and then click apply.
Manage Filter Templates
Workspace Owners and Admins can manage their saved templates by clicking on the "Manage Templates" button. Here, you can edit or delete existing templates as needed, ensuring that your workspace's filter options remain relevant and up-to-date.
This functionality streamlines the filtering process, allowing users to quickly apply consistent criteria across different datasets and analyses within the workspace.
Download Insights
Once you've conducted your analysis, click the “Export to PDF” button to download your insights in PDF format for easy sharing and collaboration among stakeholders.
Additionally, you can download individual charts as SVG, PNG, or CSV files for further analysis.
These download features ensures seamless communication and dissemination of key findings.
Stay Updated
Return to the Analytics Page regularly to stay updated on evolving trends and patterns, ensuring you remain informed and proactive in your data-driven approach.
Next Steps
For more detailed case data, transition to the cases page where you can view comprehensive information on individual cases and further analyze specific details such as victim statistics, diagnosis, toxicology results, locations, and more.
Updated on: 01/02/2025
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