Explore Seasonality Data

In Seasonality Data, you can analyze data using two distinct features to enhance visualization: (1) World map (2) Country chart of different varieties. Start to explore Seasonality Data by optimizing the visualization.

Optimize visualization

How to optimize the data visualization:

  1. Use the dropdown filter to select the base month. The default month is the current month.
  2. Use the advanced filters to narrow down by country.
    • Click the country dropdown and type country name. Select the relevant country as you type.
    • Click Clear All filters to delete the entire selected countries.
    • Click Show Results to view filtered results.

Note: The list of countries includes only contains countries with data.

Explore seasonality data by world map

In the world map, you can assess the harvest volume level for the base month by country. The harvest volume is categorized into off season, low season and high season. Each level is differentiated by distinct colors for easy identification: off-season in gray, low season in blue, and high season in navy blue.

Note: Countries with unavailable data are represented in white color.

Explore seasonality data by country chart

In the country chart, you can view the monthly harvest volume level for the country and for specific varieties. Click icon to check seasonality data by variety.

Features of the country chart

  • The red pin icon represents the current month.
  • The harvest volume level of the current month is indicated at the top right corner of the chart.
  • Each block's color represents the harvest volume level for each month.
  • You can check the total number of harvested varieties in the country.

Features of the variety chart

  • You can check the variety and the region where it was harvested.
  • The red pin icon represents the current timeline.
  • Each block's color represents the harvest volume level for each month.

Note: In the case that data is provided by the data source but the region or variety is difficult to categorize, the data is collectively treated as unspecified.

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