Delimiter- Separated Values API in D3.js
The term delimiter can be defined as a sequence of the characters that specifies the border between independent and individual segments of data or simple text. The delimiter area is considered as an array of the values separated by a comma. The comma-separated values are also known as Tab-separated value (TSV) or Comma-separated value (CSV). In this chapter, we will discuss the delimiter isolated values API in a detailed manner.
Here, we have the configuration of the delimiter separated API shown in the below script.
Configuration of Delimiter separated Values API
You can configure the delimiter-separated values API as shown in below script.
<script arc = “https://d3js.org/d3-dsv.v1.min.js”>
var data = d3.csvParse(string);
Methods of Delimiter-isolated Values API
Some methods of delimiter-isolated values are explained below. They are.
csvParse (string[, row])
This can be applied to parse the csv file format. Here, we considered a file named information.csv. We have a script given below.
You can use the above data in the format of the function, as shown below.
var data = d3.csvParse(string, function(d)
year: new Date(+d.Year, 0, 1), // Convert and lowercase “Year” into Date
This method can be used to parse the csv file form equal to the row. It is defined in the below given script.
var data = d3.csvParseRows(string, function(d, i)
year: new Date (+d , 0, 1), // Transform the column first column into Date
population: d ,
The above method allows you to create a format of the csv row. It is described in the below code.
Var string = d3.csvFormatRows(data.map(function(d, i)
d.year.getFullyear(), // Suppose d.year is date object
This function code creates a formation for string rows array similar to delimiter-isolated values and also returns a string.
The above method allows you to create a format of the csv row and column. It is described in the below code.
var string = d3.csvFormatRows(data, [“year” , “population”]);
In the above code, if you don’t define the column, then the list of column names will be stored inside the header row. It can be described by the union of all the object’s properties in a row.
This method can be applied to parse the tsv format as like the rows. This method is equivalent to the csvParseRows function.
If you want to parse the tsv format, then you can use this function. This method is similar to csvParse function.
It can be applied to design the formation of the tsv rows.
It can be applied to generate the formation of the tsv rows and columns.