Patients Report

Patients Report @BBDIAGNOSTICS

This example displays a patient report from BBDIAGNOSTICS, listing names, contact details, and birthdates from a local JSON dataset. It renders the first patient record’s formatted string onto the page. The code filters the dataset for years after 1913 and maps each record to a formatted line, then displays only the first result. It uses a custom `formatPat` function in React and plain JavaScript to parse and present the data.

Aatchombena

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report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.

report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.

report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.

report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.

report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.

report paciente

This example displays a single data point from a small patient dataset, showing the make of the first record. The visualization uses D3 v5 and a custom JavaScript module to parse JSON data, extracting specific fields from the patient objects. The code imports the `pacientes_12` array, parses it with `JSON.parse`, and renders the first patient's make value as text on a dark blue background with large Ubuntu font styling. The data source is a local JSON file with two patient records containing sex, age, and cardiopathy information.