Upload a spreadsheet or an export and ask in plain English. Every number in the answer is computed from your file, never guessed, and your file is read in your browser, never uploaded. Here are the questions people bring, organized by where the data comes from.
The export your billing tool gives you holds more answers than its dashboard shows.
Your order export can answer the questions your sales report dodges.
The monthly close, read for you.
Findings, not report-building.
No platform required. If it opens in Excel, you can ask it questions: a budget, a roster, a survey, a log. MySheetAI suggests questions from your own columns, so you are never staring at a blank box.
You do not pick a chart type yourself. Ask for the comparison, trend, or breakdown you want, and MySheetAI reads your question and your data and picks the right chart. Here is what each type does and when it is the right call.
A bar sized to a value for each category, compared side by side.
Use it to compare a metric across a handful of discrete categories, like revenue by region or headcount by department.
A bar chart with a second series either placed beside each bar (grouped) or layered inside it (stacked).
Use it when you need to compare a metric across categories and break each category down by a second dimension, like revenue by region split by product line.
A connected sequence of points plotted against time.
Use it to show a trend or rate of change over time, like monthly signups or daily revenue.
A line chart with the space beneath the line filled in, emphasizing magnitude alongside direction.
Use it when the cumulative total under the curve matters as much as the trend, like cumulative revenue or a stacked contribution over time.
A circle divided into slices sized to each category's share of a total.
Use it sparingly, only for a small number of categories, five or fewer, that sum to a meaningful whole, like market share among a handful of competitors; a bar chart reads faster once there are more categories or the comparison needs precision.
Individual points plotted on two numeric axes, one point per record.
Use it to test whether two numeric variables move together, like ad spend and signups, or to spot outliers.
Bars showing how many records fall into each range of a single numeric variable.
Use it to see the shape of one variable's distribution, like order size or response time, and to spot skew or clustering.
Sometimes you just need the formula. These free tools are not going anywhere.
Describe what you need in plain words, get a working Excel or Google Sheets formula back, explained.
Open the formula generatorThe VLOOKUP formula, explained in plain English, with a copyable example and step-by-step instructions.
INDEX and MATCH combined can look up a value in any direction, unlike VLOOKUP. Here is the plain-English pattern and a copyable example.
XLOOKUP is the modern replacement for VLOOKUP and INDEX/MATCH. Here is the plain-English syntax and a copyable example.
SUMIF adds up numbers that meet one condition; SUMIFS adds up numbers that meet several. Here is the plain-English pattern and a copyable example.
COUNTIF counts rows that match a condition; COUNTIFS counts rows that match several. Here is the plain-English pattern and a copyable example.
A pivot table groups and totals your data automatically, without writing SUMIF or COUNTIF formulas. Here is the plain-English setup for your first one.
Percentage change compares an old value to a new one. Here is the plain-English formula, a copyable example, and how to avoid the most common mistake.
COUNTIFS counts rows only when every condition across several columns is true at once. Here is the plain-English pattern, a copyable example, and how to handle OR conditions.
AVERAGEIF and AVERAGEIFS average a range of numbers only where matching conditions are true, instead of every row. Here is the plain-English pattern and a copyable example.
SUMPRODUCT multiplies matching rows across two or more ranges and adds up the results. Here is the plain-English pattern for weighted totals and OR-style conditions.
A running total adds up every row so far, growing as you move down the column. Here is the anchored-range formula and how to copy it down without breaking.
Nested IF formulas handle more than one condition, but get unreadable fast. Here is the plain-English pattern, a copyable example, and simpler alternatives.
IFERROR catches #N/A, #DIV/0!, and other formula errors and replaces them with a fallback value you choose. Here is the plain-English pattern and a copyable example.
The TEXT formula turns a number or date into exactly the text format you want. Here is the plain-English pattern and common format codes.
CONCATENATE and TEXTJOIN both combine text from several cells into one. Here is the plain-English difference and a copyable example of each.
Splitting a full name, address, or combined field into separate columns can be done with a formula (TEXTSPLIT or SPLIT, depending on your app) or a built-in menu tool.
DATEDIF calculates the difference between two dates in complete days, months, or years. Here is the plain-English syntax and a copyable example.
TODAY and NOW insert the current date or date and time, updating automatically. Combine either with a stored date to calculate age or days elapsed.
Duplicate rows quietly inflate totals and counts. Here is how to find and remove them, plus a formula to flag them without deleting anything.
Extra spaces and hidden characters from pasted data quietly break lookups and totals. Here is how TRIM and CLEAN fix both, plain-English.
FILTER returns only the rows meeting a condition you set, spilling them into a range automatically, without a helper column or manual filtering.
UNIQUE returns every distinct value in a range, with duplicates removed, spilling into a list automatically. Here is the plain-English pattern and a distinct-count trick.