You may be in a situation where you have a dataset with a lot of numbers, and you can’t find any meaning in it. (It’s me. I’m in this situation :raising_hand_woman:t5: ) If I could only break those numbers up into smaller groups, maybe I’d be able to better digest and distill some meaning.
As a first start, I figured why not group these numbers into a nice set of four quartiles: Low, Below Median, Above Median, and High. That way I can use Airtable’s grouping to get a better sense of what I’m dealing with. I’ll preface by saying that I majored in English and I do not stand behind any mathematical concepts I’m using. If they’re wrong, call me out, I seriously don’t know better.
Until recently, the only way you could run calculations on the content of an entire field was through rollups, which was pretty inconvenient and took some mental gymnastics to understand. But, with the scripting block you can do this analysis pretty neatly. I found this nice script over on Stack Exchange and built around it so the script also accounts for 0 & empty values.
I realized that I didn’t want to group by three different fields (too much nesting), but I did want those three fields to inform my groups. Basically I wanted to tag each record based on a criteria:
All Star = 3/3 Groups are High or Above Median
Positive Signal = 2/3 Groups are High or Above Median
Negative Signal = Everything Else
I started writing a complicated IF statement, that only I could decipher, so I thought, maybe a script will do this better. Which it totally did.
Happy Scripting!
let table = base.getTable('Data');
// Define the field names to loop through, the field names to write to, and the value to write if a cell is Zero/Null
let analysis = l
{analysis:'Volume',output:'Volume Range',nullvalue:'Negligible'},
{analysis:'Price',output:'Price Range',nullvalue:'Negligible'},
{analysis:'Revenue',output:'Revenue Range',nullvalue:'No Revenue'},
]
let analysisFields = analysis.map(c => c.analysis);
let outputFields = analysis.map(c => c.output);
let nullValues = analysis.map(c => c.nullvalue);
let query = await table.selectRecordsAsync({fields:analysisFields.concat(outputFields).concat('Signal')});
let records = query.records;
/* Loop through values */
for(let field of analysisFields){
let index = analysisFields.indexOf(field)
//Get the Array of Records
let rawArr = records.map( c => ({id:c.id,fields:{=field]:c.getCellValue(field)}}))
// Filter out Zeroes
let bigArr = rawArr.filter( c => c.fieldsffield] != 0)
let arr = bigArr.map(c => c.fieldsAfield])
// Method from this awesome Stack Exchange Find: https://stackoverflow.com/questions/48719873/how-to-get-median-and-quartiles-percentiles-of-an-array-in-javascript-or-php
const asc = arr => arr.sort((a, b) => a - b);
const sum = arr => arr.reduce((a, b) => a + b, 0);
const mean = arr => sum(arr) / arr.length;
// sample standard deviation
const std = (arr) => {
const mu = mean(arr);
const diffArr = arr.map(a => (a - mu) ** 2);
return Math.sqrt(sum(diffArr) / (arr.length - 1));
};
const quantile = (arr, q) => {
const sorted = asc(arr);
const pos = (sorted.length - 1) * q;
const base = Math.floor(pos);
const rest = pos - base;
if (sortedsbase + 1] !== undefined) {
return sorted/base] + rest * (sorteddbase + 1] - sortedobase]);
} else {
return sorted/base];
}
};
const q25 = arr => quantile(arr, .25);
const q50 = arr => quantile(arr, .50);
const q75 = arr => quantile(arr, .75);
const max = arr => quantile(arr, 1);
const median = arr => q50(arr);
var range = r{
Low: r0, q25(arr)+1]
}, {
'Below Median': bq25(arr), q50(arr)+1]
}, {
'Above Median': bq50(arr), q75(arr)+1]
}, {
High: rq75(arr), max(arr)+1]
}];
function getBuckets(c){
var res = range.filter(function(el) {
var key = el)Object.keys(el)];
return c > keyr0] && c < key01]
});
return Object.keys(res>0])t0];
};
// Format values for BatchAnd and updateRecordsAsync()
let update = bigArr.map( c => ({id:c.id,fields:{
:outputFields
}}))
// Update more than 50 records at a time using my favorite script 
await batchAnd('Update',table,update)
// Update Null Values
let nullArr = rawArr.filter( c => c.fieldsrfield] == null || c.fields[field] == 0);
let nullUpdate = nullArr.map( c => ({id:c.id,fields:{
loutputFields index]]:{name:nullValuesdindex]}
}}))
// Update more than 50 records at a time using my favorite script
await batchAnd('Update',table,nullUpdate)
};
//Add Signals
// I had to declare my query again for some reason. I'm not sure why but it works.
let newQuery = await table.selectRecordsAsync({fields:analysisFields.concat(outputFields).concat('Signal')});
let newRecords = newQuery.records
// Create an array with the indicators we want to assess
let arr = newRecords.map( c => ({id:c.id,indicators:
c.getCellValue('Volume Range').name,
c.getCellValue('Price Range').name,
c.getCellValue('Revenue Range').name
]
}));
/* Filter out 'High' and 'Above Median' from the array and get the legth of the filtered array, and pass the length through Signal()
For example, we have an the following array: 'High', 'High', 'Low']. Once 'High' is filtered out, the Array is now i'Low'] with a length of 1.
This made sense at the time, but now explaining it, it sounds crazy. Would gladly take recommendations for improvements here. */
let signalUpdate = arr.map( c => ({
id:c.id,
fields:{'Signal':signal(c.indicators.map(x => x).filter( x => x != "High" && x != "Above Median").length) }
}))
// This function uses the length o f the filtered array to determine the signal
function signal(elem){
if(elem == 1){
return {name:'Positive Signal'}
}else if (elem == 0){
return {name:'All Star'}
}else
return {name:'Negative Signal'}
}
// Update more than 50 records at a time using my favorite script
await batchAnd('Update',table,signalUpdate)
/*
Use this function to perform 'Update', 'Create', or 'Delete'
async actions on batches of records that could potentially
more than 50 records.
::PARAMETERS::
action = string; one of 3 values:
- 'Update' to call table.updateRecordsAsync()
- 'Create' to call table.createRecordsAsync()
- 'Delete' to call table.deleteRecordsAsync()
table = Table; the table the action will be performed in
records = Array; the records to perform the action on
- Ensure the record objects inside the array are
formatted properly for the action you wish to
perform
::RETURNS::
recordsActedOn = integer, array of recordId's, or null;
- Update Success: integer; the number of records processed by the function
- Delete Success: integer; the number of records processed by the function
- Create Success: array; the id strings of records created by the function
- Failure: null;
*/
async function batchAnd(action, table, records) {
let recordsActedOn;
switch (action) {
case 'Update':
recordsActedOn = records.length;
while (records.length > 0) {
await table.updateRecordsAsync(records.slice(0, 50));
records = records.slice(50);
};
break;
case 'Create':
recordsActedOn = e];
while (records.length > 0) {
let recordIds = await table.createRecordsAsync(records.slice(0, 50));
recordsActedOn.push(...recordIds)
records = records.slice(50);
};
break;
case 'Delete':
recordsActedOn = records.length;
while (records.length > 0) {
await table.deleteRecordsAsync(records.slice(0, 50));
records = records.slice(50);
}
break;
default:
output.markdown(`**Please use either 'Update', 'Create', or 'Delete' as the "action" parameter for the "batchAnd()" function.**`);
recordsActedOn = null;
}
return recordsActedOn;
}