// Number of pass plays, coming right after a run play of >=5 yards, split by “air_yards” dimension values
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
for (let i = 1; i < seq.events.length-1; i++) {
if ((seq.events[i]._eventName == 'pass') && (seq.events[i-1]._eventName == 'run') && (seq.events[i-1].yards_gained >= 5)) {
SEQ.push({selected_node_air_yards: seq.events[i].air_yards});
}
}
}
return vl.markBar()
.width(width-100)
.data(SEQ)
.encode(
vl.x().fieldQ('selected_node_air_yards').bin({maxbins: 100}),
vl.y().count('selected_node_air_yards').title('count of plays')
)
.render();
}
// Average yards gained in a drive by the percent of pass attempts in that drive
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
let newRow = {yards_gained: 0, pass_percent: 0};
for (let ev of seq.events) {
newRow.yards_gained += (ev.hasOwnProperty('yards_gained')) ? ev.yards_gained : 0;
newRow.pass_percent += (ev._eventName == 'pass') ? 1 : 0;
}
newRow.pass_percent = newRow.pass_percent / seq.events.length;
SEQ.push(newRow);
}
return vl.markCircle()
.width(width-100)
.data(SEQ)
.encode(
vl.x().fieldQ('pass_percent'),
vl.y().fieldQ('yards_gained')
)
.render();
}
// Probability of scoring per each additional pass in a drive
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
let has_scored = ['touchdown', 'field_goal'].includes(seq.events[seq.events.length-1]._eventName) ? 1 : 0;
SEQ.push({pass_num: 0, has_scored: has_scored});
let i = 0;
for (let ev of seq.events) {
if (ev._eventName == 'pass') {
i += 1;
SEQ.push({pass_num: i, has_scored: has_scored});
}
}
}
return vl.markArea()
.width(width-100)
.data(SEQ)
.encode(
vl.x().fieldQ('pass_num'),
vl.y().average('has_scored')
)
.render();
}
// Probability of scoring a touchdown and probability of scoring a field_goal per drive number in a game
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
SEQ.push({
drive: seq.drive,
has_touchdown: seq.events[seq.events.length-1]._eventName == 'touchdown' ? 1 : 0,
has_field_goal: seq.events[seq.events.length-1]._eventName == 'field_goal' ? 1 : 0
});
}
const touchdown_probability = vl.markLine({color: 'blue'})
.data(SEQ)
.encode(
vl.x().fieldQ('drive'),
vl.y().average('has_touchdown')
);
const field_goal_probability = vl.markLine({color: 'red'})
.data(SEQ)
.encode(
vl.x().fieldQ('drive'),
vl.y().average('has_field_goal')
);
return vl.layer(touchdown_probability, field_goal_probability).width(width-100).render();
}
// Yards gained per drive by different teams: average, 25%ile, 75%ile, min and max
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
let newRow = {team: seq.pos_team, yards_gained: 0};
for (let ev of seq.events) {
newRow.yards_gained += (ev.hasOwnProperty('yards_gained')) ? ev.yards_gained : 0;
}
SEQ.push(newRow);
}
const min_max = vl.markRule()
.data(SEQ)
.encode(
vl.x().fieldN('team'),
vl.y().min('yards_gained').title(''),
vl.y2().max('yards_gained').title('')
);
const q1_q3 = vl.markBar({width: 20})
.data(SEQ)
.encode(
vl.x().fieldN('team'),
vl.y().q1('yards_gained').title(''),
vl.y2().q3('yards_gained').title('')
);
const average = vl.markCircle({color: 'yellow'})
.data(SEQ)
.encode(
vl.x().fieldN('team'),
vl.y().average('yards_gained').title('yards_gained')
);
return vl.layer(min_max, q1_q3, average).width(width-100).render();
}
// Number of games between each pair of teams
{
let SEQ = [];
for (let seq of dataModifiedSequences) {
SEQ.push({
home_team: seq.home_team,
away_team: seq.away_team
});
}
return vl.markCircle()
.data(SEQ)
.encode(
vl.x().fieldN('home_team').axis({grid: 'on'}),
vl.y().fieldN('away_team').axis({grid: 'on'}),
vl.size().count()
)
.render();
}
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