NOW AllThatStats licences AllThatStats


Your personal statistics platform

NOW is optimized for working with time series data:

  • immediate upload of csv-formatted time series (e.g. from OpenData projects)
  • visualisation of time series in graphs and tables,
  • statistical time series evaluation available at the touch of a button,
  • archiving data in individual time series databases,
  • integrated export functionality for data transfer into standardised Excel tables.
  • OPTIONAL: direct access to AllThatStats

The NOW design guides safely through the application, from the data import of existing csv tables to the presentation of data in tables and graphs, through to immediate statistical analyses.


How much time and effort do you have to invest to display these data series graphically or in readable tables?

Conversion of CSV tables into diagrams

What can you do?

The solution is called NOW, i.e. at the push of a button: immediate presentation and provision of the data in diagrams and tables, immediate statistical standard calculations (conversion into indices, rates of change, forecasts).

A short introduction

NOW.CX verwalten statistischer Datenreihen

NOW.CX stands for concentration on the essentials and is expressed in a clearly structured workflow that is reflected in the product design.:

  • easy data transfer and individual database construction
  • optional: direct access to AllThatStats
  • instant data presentation
  • statistical analysis at the touch of a button

For further, more sophisticated analyses, simply export the data to a standardized Excel spreadsheet, ready for transferring it directly to your model/program.

Presenting charts and tables

NOW transforms your time series into charts and gets your stories straight, ready to be published in articles, blogs or presentations. All functionalities can be controlled directly via touch screen. Newly uploaded or previously prepared data sheets can be presented immediately in the form of charts or tables.

NOW.CX presenting charts and tables


Data sheets are user defined time series collections.

Import new or load existing sheets from your private account for further action into NOW: make ad hoc calculations, generate charts and export them for publication.

Store data sheets for repetitive usage in your personal data library.

NOW.CX defines your own data sheets

AllThatStats DB (optional)

Access to the AllThatStats database

ATS DB provides access to +1.000 million latest statistical time series from official sources.

For AllThatStats licensees NOW is already connected to the AllthatStats Database (ATS DB).

NOW.CX interface and retrieval engine for AllThatStats


Switch back and forth between charts, motion views and tables

Chart view: various types

Motion view: animated time series data along the time axis

Table view: x->y y->x

NOW.CX tables, creating charts and running live presentations


Private (by default): all sheets classified as private are not accessible by third parties,

or unlock selected ones for the public: to be shared with the public within the NOW environment (read-only).

NOW.CX easy publishing


Export the displayed charts or tables for further external usage, e.g. publication works, more demanding calculations, or modellings.

Export functionalities are also provided directly on stage:

export sheets: sheets can be exported into Excel- or CSV-format

export charts: charts can be exported into SVG- or PNG-format

NOW.CX data export


Run statistical ad hoc analyses

NOW.CX data analyses

NOW.CX data analyses at the touch of a bottom


A quick overview of the latest data status. List of the most current values of all time series displayed on the stage.

NOW.CX data status


CHART TYPE: line, scatter, area, column, bar

TABLE TYPE: x-y axis vs. y-x axis

NOW.CX stage control


Time series description

List of all selected time series. Editing and deleting functionalities are also provided. ATS DB only: descriptions are extracted from the official classification plans. They are automatically optimised by grouping according to common themes (as far as possible).

NOW.CX time series description