Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: Provided is a compressed natural gas (CNG) fuel system that can include a frame and at least one container. The frame can include a first side and a second side, with each side being configured to partly define a portion of an interior space. The at least one container can be configured to house or contain CNG and can be engaged to and partly encased by the frame. The at least one container can be partly located within the interior space of at least one of the first side or the second side. The frame assembly can be engaged to a chassis of a vehicle such that the at least one container is located either at least partially underneath a cab of the vehicle or at least partially behind a cab of the vehicle.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: Provided is a compressed natural gas (CNG) fuel system that can include a frame and at least one container. The frame can include a first side and a second side, with each side being configured to partly define a portion of an interior space. The at least one container can be configured to house or contain CNG and can be engaged to and partly encased by the frame. The at least one container can be partly located within the interior space of at least one of the first side or the second side. The frame assembly can be engaged to a chassis of a vehicle such that the at least one container is located either at least partially underneath a cab of the vehicle or at least partially behind a cab of the vehicle.

Abstract: Provided is a compressed natural gas (CNG) fuel system that can include a frame and at least one container. The frame can include a first side and a second side, with each side being configured to partly define a portion of an interior space. The at least one container can be configured to house or contain CNG and can be engaged to and partly encased by the frame. The at least one container can be partly located within the interior space of at least one of the first side or the second side. The frame assembly can be engaged to a chassis of a vehicle such that the at least one container is located either at least partially underneath a cab of the vehicle or at least partially behind a cab of the vehicle.

Abstract: Provided is a compressed natural gas (CNG) fuel system that can include a frame and at least one container. The frame can include a first side and a second side, with each side being configured to partly define a portion of an interior space. The at least one container can be configured to house or contain CNG and can be engaged to and partly encased by the frame. The at least one container can be partly located within the interior space of at least one of the first side or the second side. The frame assembly can be engaged to a chassis of a vehicle such that the at least one container is located either at least partially underneath a cab of the vehicle or at least partially behind a cab of the vehicle.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: Provided is a compressed natural gas (CNG) fuel system that can include a frame and at least one container. The frame can include a first side and a second side, with each side being configured to partly define a portion of an interior space. The at least one container can be configured to house or contain CNG and can be engaged to and partly encased by the frame. The at least one container can be partly located within the interior space of at least one of the first side or the second side. The frame assembly can be engaged to a chassis of a vehicle such that the at least one container is located either at least partially underneath a cab of the vehicle or at least partially behind a cab of the vehicle.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: A terminus for a fiber optic cable includes a ferrule. In one embodiment, an optical fiber of the cable passes through a central bore of the ferrule and is attached to a lens seated in a conical or cylindrical seat formed in an end surface of the ferrule by an epoxy. In a second embodiment, an optical fiber of the cable passes through the central bore of the ferrule. Next, a cap sleeve with a lens therein is slid over and attached to the ferrule such that the lens abuts or is attached to the optical fiber. In either embodiment, an inspection slot may optionally be formed in the ferrule and/or the cap sleeve to allow a technician to inspect the state of the attachment and/or abutment and/or spacing of the optical fiber and the lens.