Posts (page 191)
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5 min readIn Kotlin, coroutines can be cancelled by invoking the cancel function on the corresponding Job object. When a coroutine is cancelled, it stops its execution and releases any resources that are being used.To kill a coroutine, you can call the cancel function on the Job object returned by the coroutine builder, such as launch, async, or runBlocking. For example: val job = GlobalScope.launch { // coroutine code } job.
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4 min readIn D3.js, you can load external data by using the d3.json(), d3.csv(), d3.tsv(), or d3.text() functions to fetch data from a URL. These functions allow you to asynchronously load data in various formats such as JSON, CSV, TSV, or plain text. Once the data is loaded, you can use it to create visualizations or manipulate the DOM elements in your document. It is important to handle errors that may occur during the data loading process by using the .catch() method. Additionally, you can use the d3.
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7 min readTo validate JSON in Kotlin, you can use libraries like GSON or Jackson for parsing and validating JSON data. You can create data classes for mapping JSON objects to Kotlin objects and utilize built-in features of these libraries to validate the structure and data within the JSON. Additionally, you can write custom validation logic to ensure that the JSON data meets certain requirements or constraints before proceeding with further processing.
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10 min readTo add tooltips to D3.js visualizations, you can use the "title" attribute in SVG elements to display additional information when the user hovers over a specific element. You can also create custom tooltips using HTML elements and position them dynamically based on the mouse cursor's position. Additionally, you can use the D3.tip library to create interactive tooltips with more customizable features such as styling and animations. By implementing tooltips in your D3.
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4 min readIn Kotlin, getters can be defined for properties using the val and var keywords when declaring a class. Getters are automatically generated for val properties, while custom getters can be defined for var properties using the get() syntax.
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5 min readTo create a scatter plot in D3.js, you will first need to define a scale for both the x and y axes using the D3.js scale functions. Then, you can use the D3.js select and append functions to create SVG elements for each data point in your dataset. Next, you can use the D3.js enter and append functions to bind your data to each SVG element and set their position based on the scales you defined earlier.
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4 min readTo call a Java static function in Kotlin, you can use the Java class name followed by the function name and parameters in a similar way to calling a static function in Java. However, in Kotlin, you can also use the @JvmStatic annotation on the Java function to make it more Kotlin-friendly, allowing you to call the static function as if it were a regular static function in Kotlin.
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6 min readTo create a line chart in D3.js, you first need to include the D3 library in your HTML file. Then, you can create an SVG element in your HTML document where the chart will be rendered. Next, you need to define the data that will be used to generate the line chart.Using D3.js, you can use the d3.line() function to create a line generator that will translate your data into SVG path data. This path data will be used to draw the lines on the chart.
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4 min readTo create a bar chart in D3.js, you will need to follow a few steps. First, you will need to select the SVG container where you want to draw the chart. Next, you will need to create a data array representing the values you want to display in the chart. Then, you will need to create a scale function to map your data values to the SVG dimensions. After that, you can create the bars using the data array and the scale function. Finally, you can add axes to the chart to provide context for the data.
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3 min readTo display random data from an ArrayList in Kotlin, you can generate a random index within the range of the ArrayList size using the Random class. Then, you can access the element at that randomly generated index to display the data. Here is an example code snippet: import java.util.* fun main() { val data = arrayListOf("Apple", "Banana", "Orange", "Grapes", "Mango") val random = Random() val randomIndex = random.nextInt(data.
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4 min readTo add axes to a D3.js chart, you can use the axis component provided by D3.js. The axis component allows you to create and customize axes for your chart. You can easily add axes to your chart by calling the axis component function and specifying the scale and orientation of the axis. You can customize the appearance of the axes by setting various properties such as tick values, tick format, and axis label.
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6 min readTo update data in a D3.js visualization, you typically need to follow a few key steps. First, you will need to select the element or elements you want to update using D3's data-binding functionality. Next, you will need to bind your updated data to the selected elements using the .data() method. After that, you can use D3's enter, exit, and update selections to handle adding, removing, and updating elements based on the new data.