Place analysis

{% if visits_per_tile_cumsum_linechart %}

Visits per tile

privacy budget base: {{ visits_per_tile_eps[0] }}

95%-confidence interval: +/- {{ visits_per_tile_moe[0] }}

privacy budget alternative: {{ visits_per_tile_eps[1] }}

95%-confidence interval: +/- {{ visits_per_tile_moe[1] }}

{{privacy_info}}

Deviations from base:

{{visits_per_tile_legend[0]}}

Visits per tile base:

{{visits_per_tile_legend[1]}}

Visits per tile alternative:

{{visits_per_tile_legend[2]}}

Base: {{points_outside_tessellation_info_base}}

Alternative: {{points_outside_tessellation_info_alternative}}

{{visits_per_tile_measure}}

Five-number summary: visits per tile

{{visits_per_tile_summary_table}} {{visits_per_tile_summary_measure}}

Cumulated sum of visits per tile

{{visits_per_tile_cumsum_linechart}}

The cumulated sum of visits visualizes the distribution of visits over tiles: If all tiles are visited equally, the cumulated sum follows a straight diagonal line. The larger the share of single tiles in the total number of visits, the steeper the curve.

Ranking of most frequently visited tiles

{{most_freq_tiles_ranking}} {{visits_per_tile_ranking_measure}}
{% endif %} {% if visits_per_tile_time_map %}

Visits per tile and time window

privacy budget base: {{ visits_per_time_tile_eps[0] }}

95%-confidence interval: +/- {{ visits_per_time_tile_moe[0] }}

privacy budget alternative: {{ visits_per_time_tile_eps[0] }}

95%-confidence interval: +/- {{ visits_per_time_tile_moe[1] }}

Each map shows the arrivals (destinations) for the respective time window for each tile, split by weekday and weekend, as absolute counts and as the deviation from tile average.

{{visits_per_tile_time_map}}
{{visits_per_time_tile_measure}}
{% endif %}