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Insider Magazin

Introduction

Getting Started

What Insider Magazin does, how to open the workspace with the illustrative datasets, and a first walkthrough from selecting a dataset to exporting a report.

What Insider Magazin is

Insider Magazin is an analytics workspace for historical, time-stamped datasets. It describes distributions, computes frequencies, compares periods and groups, and exports structured reports. Every result is a descriptive statistic of the data you have selected.

Scope

Insider Magazin does not forecast, predict outcomes or give investment, betting or financial advice. Patterns found in past data describe that data only; they do not determine future events.

All statistics are computed in your browser from the loaded observations. Dates are treated as UTC calendar days, and quantiles use linear interpolation (Hyndman & Fan type 7). See Statistical Analysis for the exact definitions.

Open the workspace

The interactive workspace is available at /demo. No sign-in is required. The demo loads the three illustrative datasets: synthetic series generated from documented formulas with a fixed seed, covering 2023-01-01 to 2025-12-31. They are labelled “Illustrative Dataset — For Demonstration Purposes” wherever they appear.

DatasetIDUnitCategoriesValue kind
Regional Electricity Demandenergy-demandMWhNorth, SouthContinuous, 1 decimal
Support Response Timessupport-responseminEmail, Chat, PhoneContinuous, 1 decimal
Items per Orderorder-itemsitemsWeb, Store, MobileDiscrete (integers)
Illustrative datasets. Regional Electricity Demand is selected by default.

The generating formulas are documented in Platform Overview.

A first walkthrough

The following steps touch every part of the workspace.

  1. Choose a dataset. Use the dataset selector in the top bar.
  2. Set the date range. Pick a preset (Last 90 days, Last 6 months, Last 12 months, Year to date, All data) or enter custom from/to dates. Presets are counted back from the latest observation in the dataset, not from today's date, so a historical dataset always returns data.
  3. Filter categories. Select one or more categories (for example the North region). With no category selected, all categories are included.
  4. Read the Overview. Check the indicators: Total observations, Dataset coverage, Mean, Standard deviation, Unique values and Last updated. Change the time-series aggregation from day to week, month or quarter and add a moving average.
  5. Inspect the shape of the data. Open Frequency Analysis to see the histogram and the frequency table, then Distributions for the summary table and box plots per category.
  6. Look at time structure. Historical Trends shows the year-over-year monthly profile, the weekday × month heatmap and the lag-1 scatter plot.
  7. Compare. In Comparisons, compare two periods (A vs B) or two categories and read the mean difference, relative change and Cohen's d.
  8. Check individual records. The Data Explorer lists every observation in the selection, with sorting, search and pagination.
  9. Export. In Reports, choose the sections to include, download the CSV files or print the report to PDF.

Filters apply everywhere

The dataset, date range, category filter and search in the top bar define one selection. Every panel, indicator and export is computed from that selection. If a number looks unexpected, check the active filters first.

Using your own data

Customer data is connected through a server-side API adapter. Your organisation provides an HTTPS API that returns datasets in the documented JSON format; the Insider Magazin team configures the connection during onboarding. Responses are validated before they reach the workspace, and API credentials stay on the server. The contract is described in Platform Overview.

Not available yet

Self-service file upload (CSV or Excel import in the browser), database connectors and scheduled refresh are planned and not available today.

Access to a customer workspace is provisioned after a signed order form. See Account & Access and Billing & Support.

Next steps