Awareness Levels and Marketing Reach Correlation Heatmap

A Pandas DataFrame named data_awareness is created with five variables:
awareness_local: Simulated using a normal distribution with a mean of 70 and a standard deviation of 10. This variable represents local brand awareness levels.
awareness_regional: Generated from a normal distribution with a mean of 50 and a standard deviation of 12, indicating regional awareness levels.
awareness_national: Created with a mean of 30 and a standard deviation of 15, reflecting national brand awareness.
marketing_reach_online: Simulated from a normal distribution with a mean of 5000 and a standard deviation of 1000, representing online marketing reach.
marketing_reach_offline: Generated with a mean of 3000 and a standard deviation of 800, indicating offline marketing reach.

我们构建了一个名为data_awareness的Pandas数据框，包含五个变量：
awareness_local：采用均值为70、标准差为10的正态分布模拟生成，该变量表征本地品牌认知水平；
awareness_regional：通过均值为50、标准差为12的正态分布生成，代表区域品牌认知程度；
awareness_national：以均值为30、标准差为15的正态分布创建，反映全国性品牌认知度；
marketing_reach_online：基于均值为5000、标准差为1000的正态分布模拟生成，代表线上营销触达规模；
marketing_reach_offline：通过均值为3000、标准差为800的正态分布生成，表示线下营销触达范围。