Suppose I have the following dc.js
objects:
var chart_11 = dc.barChart("#chart-11"),
chart_12 = dc.barChart("#chart-12"),
chart_13 = dc.barChart("#chart-13"),
chart_21 = dc.barChart("#chart-21"),
chart_22 = dc.barChart("#chart-22"),
chart_23 = dc.barChart("#chart-23");
Next, I read in some data and do some stuff with that data:
d3.csv("../data/test_data.csv").then(function(data) {
var var_names = ["x", "y", "z", "a", "b", "c"];
var ndx = crossfilter(data),
chart_11_dim = ndx.dimension(function(d) { return +d[var_names[0]]; }),
chart_12_dim = ndx.dimension(function(d) { return +d[var_names[1]]; }),
chart_13_dim = ndx.dimension(function(d) { return +d[var_names[2]]; }),
chart_21_dim = ndx.dimension(function(d) { return +d[var_names[3]]; }),
chart_22_dim = ndx.dimension(function(d) { return +d[var_names[4]]; }),
chart_23_dim = ndx.dimension(function(d) { return +d[var_names[5]]; });
var chart_11_min = +chart_11_dim.bottom(1)[0][var_names[0]],
chart_11_max = +chart_11_dim.top(1)[0][var_names[0]],
chart_12_min = +chart_12_dim.bottom(1)[0][var_names[1]],
chart_12_max = +chart_12_dim.top(1)[0][var_names[1]],
chart_13_min = +chart_13_dim.bottom(1)[0][var_names[2]],
chart_13_max = +chart_13_dim.top(1)[0][var_names[2]],
chart_21_min = +chart_21_dim.bottom(1)[0][var_names[3]],
chart_21_max = +chart_21_dim.top(1)[0][var_names[3]],
chart_22_min = +chart_22_dim.bottom(1)[0][var_names[4]],
chart_22_max = +chart_22_dim.top(1)[0][var_names[4]],
chart_23_min = +chart_23_dim.bottom(1)[0][var_names[5]],
chart_23_max = +chart_23_dim.top(1)[0][var_names[5]];
});
While this works, it's not very dry nor is it easy to maintain scale. I know there has to be a better way to dynamically create these variables, but I'm not confident on which approach (e.g. loops, maps, reduce) are likely to scale the best. I do not code frequently in javascript, so I am hoping someone more experienced can point me in the right direction.