Sample of data from our .csv file
id, name, gender, DOB, MaritalStatus, CreditCardType
1, Damaris, Female, 1973-02-18, false, visa-electron
2, Barbe, Female, 1969-04-10, true, americanexpress
3, Belia, Female, 1960-04-16, false, maestro
4, Leoline, Female, 1995-01-19, true, bankcard
5, Valentine, Female, 1992-04-16, false,
6, Rosanne, Female, 1985-01-05, true, bankcard
7, Shalna, Female, 1956-11-01, false, jcb
8, Mordy, Male, 1990-03-27, true, china-unionpay
9, Tristan, Male, 1998-10-05, true,
10, Alphonso, Male, 1992-08-10, false, mastercard
CSV data is loaded using "d3.csv".
Update the CreditCardType column so there is not blanks.
Create the crossfilter data set
d3.csv("data/people.csv", function (errors, peopleData) {
peopleData.forEach(function (d) {
if (d.CreditCardType == "") {
d.CreditCardType = "no data"
}
});
var ndx = crossfilter(peopleData);
...
}id, name, gender, DOB, MaritalStatus, CreditCardType
1, Damaris, Female, 1973-02-18, false, visa-electron
2, Barbe, Female, 1969-04-10, true, americanexpress
3, Belia, Female, 1960-04-16, false, maestro
4, Leoline, Female, 1995-01-19, true, bankcard
5, Valentine, Female, 1992-04-16, false, no data
6, Rosanne, Female, 1985-01-05, true, bankcard
7, Shalna, Female, 1956-11-01, false, jcb
8, Mordy, Male, 1990-03-27, true, china-unionpay
9, Tristan, Male, 1998-10-05, true, no data
10, Alphonso, Male, 1992-08-10, false, mastercard