金宝搏彩票盖尔分析：Tip of the Month
|由Lisa Novohatski，分析顾问|
金宝搏彩票盖尔分析：社区见解displays data on several tabs, visualizing data in different ways. First, we have the patron measures tab giving important information on demographics and the Experian Mosaic segments that are most prominent in the service area and patron base. The Patron Measures tab is followed by a number of maps.
The first map is the Patrons/Non-patrons map. This map shows the full service area, with all households categorized as either patrons, non-patrons, or non-Experian patrons. Non-Experian patrons are patrons for whom we do not have the additional information from the Experian Mosaic Segmentation model. For the purposes of visualization, however, we keep them in the maps to give you a more comprehensive picture of where patrons are located within the service area.
The next map is the checkouts map. This map takes the same data but visualizes it slightly differently, color coding households based on the checkout volume associated with each household. You’ll notice that non-patrons are still represented in this map, but they have a checkout volume of ‘N/A’.
最后两个地图可视化的相同的数据，但颜色由儿童类别的存在人口统计组 - 和通过估计家庭收入托架，分别编码。这两个图需要通过一个稍微不同的透镜观看数据，因为有顾客和非顾客之间没有视觉区别。你仍然可以使用分离顾客和非顾客内置的过滤器，但由于大风分析为双方提供顾客和非顾客的人口统计信息，这两个地图是真的给你完整的服务区域的视图之间没有视觉上区分金宝搏彩票顾客和非顾客。
虽然每个地图可视化包含相同的家庭相同的服务区域，每个地图可以告诉一个非常不同的故事，并提供不同的见解。老主顾/非顾客的地图可以让你清楚地看到那里有服务区域内的顾客和非顾客群。在检出地图，有高浓度的，没有检出或在频谱，电力用户的另一端食客可以突出的领域。最后两张图给你想象基于人口特征的家庭的能力。
Let’s say you wanted to better understand where patron households with confirmed presence of children across the income spectrum are located within your service area. You could use the estimated household income map to isolate patron households which have the confirmed presence of a child. The map would then give you only patron households with confirmed presence of a child color coded by estimated household income. This would allow you to see where households with children of different income brackets cluster within the service area.
目前为止就这样了！请reach out to meif you have any questions about the benefits ofGale Analyticsor how other libraries are leveraging their data to gain insight about their community.