Examples

Anomaly detection: manufacturing defect rate

24 weeks of defect rates against a baseline of around 2.1%. A 100% threshold means a week must be more than double the average before it fires — appropriate because normal process variation is small. Three incidents are caught: a bad supplier batch at W7, a CNC calibration drift across W14–W15, and an operator error at W20. To recreate: upload the file, set X to Week and Y to Defect Rate, select Line, then enable Anomaly Detection with a 100% threshold.

By Andreas Philippou 2026-05-16 17:40:21.371266

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Pie chart: laptop quarterly split (row-series)

The weekly table aggregated into Q1–Q4 totals. Row-series pie uses each selected column's value as a slice, with column headers as labels. Q4 is the largest slice at 29%. To recreate: upload the aggregated table, open the data preview, click the Laptop row, select columns Q1–Q4, select Pie, then enable Show Values.

By Andreas Philippou 2026-05-16 17:39:21.004324

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Scatter chart: ad spend vs revenue with anomaly detection

17 campaigns with paired spend and revenue values. Anomaly detection on scatter flags points whose Y value deviates more than the threshold from the dataset mean — not from the trendline. Three campaigns are flagged: one with unusually high return, two with unusually low. To recreate: upload the file, set X to Ad Spend and Y to Revenue, select Scatter, then enable Trendline and Anomaly Detection with a 60% threshold.

By Andreas Philippou 2026-05-16 17:37:55.079137

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Bar chart: quarterly sales comparison (3 products)

Compare mode with bar charts produces grouped bars — one bar per product within each quarter group, placed side by side. Bar widths divide evenly across the number of series. To recreate: open an Excel file with quarterly sales per product, use Add Selection to add each product as a separate series, select Bar, then enable Show Values.

By Andreas Philippou 2026-05-16 17:36:15.877649

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Bar chart: tablet weekly sales (row-series)

Same wide table, Tablet row. The same row-series selection as the line example, but rendered as bars to emphasise the absolute value of each individual week rather than the connecting trend. To recreate: upload the file, open the data preview, click the Tablet row, select columns W1–W12, select Bar, then enable Show Values.

By Andreas Philippou 2026-05-16 17:33:05.533248

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Line chart- server load with anomaly detection

20 weeks of server load against a baseline of around 44%, with deliberate spikes at W7 and W14. With a 50% threshold, both spikes are flagged automatically and labelled with their deviation percentage. To recreate: upload the file, set X to Week and Y to Server Load, select Line, then enable Anomaly Detection and set the threshold to 50%.

By Andreas Philippou 2026-05-16 17:32:11.446649

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Line chart- smartphone weekly sales with moving average (row-series)

Same wide table, Smartphone row. The 5-period moving average begins at W5 — the first point with five predecessors — and smooths out week-to-week noise to make the underlying upward trend clearer. To recreate: upload the file, open the data preview, click the Smartphone row, select columns W1–W12, select Line, then enable Moving Average and MA Values.

By Andreas Philippou 2026-05-16 17:31:21.444086

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Line chart- laptop weekly sales (row-series)

A wide table with products as rows and weeks (W1–W12) as columns. Row-series mode lets you plot any single row across multiple columns without restructuring the file. Column headers become the X-axis labels. To recreate: upload the file, open the data preview, click the Laptop row, select columns W1–W12, select Line, then enable Show Values.

By Andreas Philippou 2026-05-16 17:30:13.135348

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Scatter Graph

Scatter chart: Use a scatter chart to explore the relationship between two numeric variables. Both your X and Y columns must be numeric, with at least 2 data points.

By Andreas Philippou 2026-05-16 16:12:11.591856

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Pie Chart

Pie chart Use a pie chart to show how a total is divided across categories. Your X column should contain category labels and your Y column numeric values. All should be positive, no negatives. At least 2 slices are required.

By Andreas Philippou 2026-05-16 16:11:20.400753

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Line Chart

Line chart: Use a line chart to show how a value changes over time or across a sequence. Your data needs an X column (dates, week labels, or numbers) and a numeric Y column, with at least 2 data points.

By Andreas Philippou 2026-05-16 16:10:14.984716

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Histogram

Histogram: Use a histogram to visualize the distribution of a dataset. You only need a single numeric Y column. The app groups your values into bins and generates the X-axis automatically. At least 2 data points are required. Trendlines, moving average, and value labels are not available for histograms.

By Andreas Philippou 2026-05-16 16:09:29.235975

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Efficient Frontier Curve

Efficient frontier: Use the efficient frontier chart to explore risk vs return trade-offs across a portfolio. Each column represents an asset; each row represents a time period. Returns can be decimals or percentages. You need at least 5 rows and 2 asset columns. The app generates 8,000 random portfolio weight combinations and highlights the minimum-variance and maximum Sharpe ratio portfolios.

By Andreas Philippou 2026-05-16 16:08:12.800610

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Bar Chart

Bar chart: Use a bar chart to compare values across categories. Your X column can be any type of label; your Y column must be numeric. Only 1 data point is required, though more makes for a meaningful comparison.

By Andreas Philippou 2026-05-16 16:07:05.269188

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Line Chart

In order to create a line chart showing you week by week how a specific sales channel is performing, all you have to do is have your spreadsheet for 2025 (e.g.) and each sheet has to be labeled per week (e.g. W1, W2, W3...) Then you can click on the text box where you can select by sheets and click on the cell you want to compare weekly. then you just plot and you are ready to go!

By Andreas Philippou 2026-05-16 15:37:24.459457

Efficient Frontier Curve

For the Efficient Frontier Curve to work as intended the table must be like the attached example. For the table headers (Month | Apple | Microsoft | Nvidia | Amazon | Tesla) and rows (Jan- Dec). Please download the below template and use that as a reference. To select the data, upload the table for the Efficient Frontier Curve, then click on "Plot across sheets or row-series" -> Select Data... -> Mode -> Efficient Frontier (portfolio analysis) -> *Select your data*-> Use Selection -> Plot

By Andreas Philippou 2026-03-08 19:25:15.951751

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Gantt Chart- Mx My or Dx Dy or Yx Yy.

In order to create a Gantt Chart as easily as possible, we support two specific types of data Dates in YYYY-MM-DD format Dates in Mx My or Dx Dy or Yx Yy. These have to be in a table which you can find an example like the one below! (Task - Start - End)

By Andreas Philippou 2026-03-06 19:40:56.586558

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Gantt Chart- YYYY-MM-DD

In order to create a Gantt Chart as easily as possible, we support two specific types of data Dates in YYYY-MM-DD format Dates in Mx My or Dx Dy or Yx Yy. These have to be in a table which you can find an example like the one below! (Task - Start - End)

By Andreas Philippou 2026-03-06 19:38:29.550621

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