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.

本数据集以 Pandas DataFrame 的形式构建，命名为 data_awareness，包含五个变量：

- awareness_local：通过正态分布模拟生成，均值为 70，标准差为 10，该变量表示局部品牌认知水平。
- awareness_regional：由正态分布生成，均值为 50，标准差为 12，指示区域品牌认知水平。
- awareness_national：以均值为 30，标准差为 15 创建，反映国家品牌认知。
- marketing_reach_online：通过正态分布模拟生成，均值为 5000，标准差为 1000，代表在线营销覆盖范围。
- marketing_reach_offline：通过生成，均值为 3000，标准差为 800，指示离线营销覆盖范围。