Methods
# averageTime(time) → {string}
Converts an Array of Numbers (times) to a date string in the format MM:SS.sss where the Time is the Average Time of the Array Input.
Parameters:
| Name | Type | Description |
|---|---|---|
time |
Array.<Number> | An Array of Numbers (Times) |
datestring - Returns a readable date string based on the average of the array of times.
Example
averageTime([30000,25000,35000])
return (
00:30.00
)# colorArray(arrayLength) → {Array.<String>}
Color Array takes input arrayLength (Number). It returns an array of gradient colors the same length as the input. Useful for creating a gradient of colours for a data set that will differ but match a color scheme / theme.
Parameters:
| Name | Type | Description |
|---|---|---|
arrayLength |
Number | The length of the Data Array denoting, how many colours along the gradient will be needed. |
colorArray
Example
colorArray(10)
return (
["#00aad8", "#1aa3d0", "#339cc7", "#4d95bf", "#668eb6", "#8087ae", "#997fa6", "#b3789d", "#cc7195","#e66a8c"]
)# medianTime(time, time) → {string}
Converts an Array of Numbers (times) to a date string in the format MM:SS.sss where the Time is the Median of the Array
Parameters:
| Name | Type | Description |
|---|---|---|
time |
Array.<Number> | An Array of Numbers (Times) |
time |
Array.<Number> | An Array of Numbers (Times) |
datestring - Returns a readable date string based on the median of the array of times.
Example
medianTime([30000,25000,35000])
return (
00:30.00
)# meetCity(meetcitys) → {Array.<String>}
Takes an Array of Objects and returns an Array of all meets in each meet in the respective Objects.
Parameters:
| Name | Type | Description |
|---|---|---|
meetcitys |
Array.<object> | An Object Array of all entities in the respective excel sheet to for the Swimming Race. |
Example
meetCity(Object('__EMPTY_':..., '__EMPTY_11': 'Toronto'), Object('__EMPTY_':..., '__EMPTY_11': 'Winnipeg' ), Object('__EMPTY_':..., '__EMPTY_11': 'Toronto'))
return (
['Toronto', 'Winnipeg', 'Toronto']
)# meetMonth(meets) → {Array.<object>}
Converts the Array of Swimmer Objects.__EMPTY_10 property (Meet Month is stored in excel date value), into a usable month to be viewed and compared with against. Where the month is in [0,1,2,3,4,..11] (with 0 being january and so on)
Parameters:
| Name | Type | Description |
|---|---|---|
meets |
Array.<object> | Takes an Array of Swimmer Objects to convert dates on. |
Where .__EMPTY_10 is now a useable month from JS Date.
Example
meetMonth([Object('__EMPTY_':..., '__EMPTY_10': 36949)]) // * __EMPTY_10 is in excel date value
[Object('__EMPTY_':..., '__EMPTY_10': 36949)] // * __EMPTY_10 is in excel date value
return (
[Object('__EMPTY_1':..., '__EMPTY_10': 0)] // * __EMPTY_10 is now a single value contaning the month corresponding months
) # meetName(meets) → {Array.<String>}
Takes an Array of Objects and returns an Array of all meet names from each object
Parameters:
| Name | Type | Description |
|---|---|---|
meets |
Array.<object> | An Object Array of all entities in the respective excel sheet to for the Swimming Race. |
meets
Example
meetName(Object('__EMPTY_':..., '__EMPTY_12': 'Victor Davis'), Object('__EMPTY_':..., '__EMPTY_12': 'Dash For Cash' ), Object('__EMPTY_':..., '__EMPTY_12': 'HOBBS'))
return (
['Victor Davis', 'Dash For Cash', 'HOBBS']
)# modeTime(time) → {object|object}
Finds the Mode an Array of Numbers (times) and returns an object with the Mode Time and the number of Occurrences.
Parameters:
| Name | Type | Description |
|---|---|---|
time |
Array.<Number> | An Array of Numbers (Times) |
{mostCommonNumber} Returns The Most Common Number in Array
{maxCount} Returns the count of the Most Common Number
Example
modeTime([30000,25000,35000,30000])
return (
{
"mostCommonNumber": 30,
"maxCount": 2
}
)# mostOccurrences(arr) → {Map}
Takes an array of (numbers/strings/dates) and find the number of occurrences of each distinct element. it returns a Map (key,value) pairs. Key is the element and Value is the number of occurrences.
Parameters:
| Name | Type | Description |
|---|---|---|
arr |
Array | Takes an array of numbers/strings/dates to find the number of Occurrences of each distinct element. |
Returns Map, where keys are the elements in the array and, value is the number of Occurrences of each element in the array.
Example
mostOccurrences(['July','Aug','Sept','July','June'])
return (
Map(['July',2],['Aug',1],['Sept',1],['June',1])
)# peakDistribution(data) → {Array}
Takes the Array of Swimmer Objects and converts the months to be aligned on the graph correctly. Also finds the most Occurrences of the month data.
Parameters:
| Name | Type | Description |
|---|---|---|
data |
Array.<object> | Takes an Array of Swimmer Objects to convert dates and map. |
Returns an Array where index[0] is September and the values of Occurrences in September is the value at the index.
Example
peakDistribution(Object('__EMPTY_':..., '__EMPTY_10': 36949), Object('__EMPTY_':..., '__EMPTY_10': 36949), Object('__EMPTY_':..., '__EMPTY_10': 36949))
// 36949 -> January
return (
// [sept,oct,nov,dec,jan,feb,mar,apr,may,june,july,aug]
[0,0,0,0,3,0,0,0,0,0,0,0]
)# standardDeviation(time) → {string}
Takes an Number[] times and calculates the Standard Deviation for the race times, returns a date string. Generally time is input in Milliseconds.
Parameters:
| Name | Type | Description |
|---|---|---|
time |
Array.<Number> | An Array of Numbers (times) |
standardDev returns the date string with the standard deviation for data.
Example
// returns 00:03.30 (aka. 00:03.30 of standard deviation between time given in ms)
standardDeviation([ 9000, 2000, 5000, 4000, 12000, 7000])
return (
00:03.30
)