Question: The excel file customer data set includes customer subscription data for a digital product company which provides financial advisory services. This company offers an annual
The excel file "customer data set" includes customer subscription data for a digital product company which provides financial advisory services. This company offers an annual and monthly subscription. Customer support services, including product-related questions and signup/cancellation-related queries, are provided via email and phone. This database includes the following variables: Customer demographic - Gender and age of the customer Start and end date of the subscription (to reduce the complexity of the calculations for you, we selected Aug 16, 2022, as the end date of the current active customers) Customer support reach-out method - Email or Phone Type of service - sign-up/cancellation or Support Product type - annual or monthly Use the tabular and graphical methods of descriptive statistics to help management develop a customer profile and to evaluate the promotional campaign. At a minimum, your report should include the following: 1- (10 points) Percentage frequency distribution (Table & Histogram chart) for key variables a. Age (select bin width of 5 years) b. Subscription duration (select bin width of 12 months) Hint: Use the Histogram option in the Data Analysis ToolPack. 2- (16 points) Bar or Pie chart to show: a. Gender of customers b. Type of Service c. Product Type d. Customer support reach-out method 3- (8 points) For each product, plot the number of newly registered subscriptions (based on sign-up date) since 2017. 4- (6 points) Cross tabulation of gender and customer service reach out method. 5- (6 points) Scatter diagram to explore the subscription duration and age (separate charts for each gender).
| case_id | date_time | customer_id | channel | reason | age | gender | product | signup_date_time | cancel_date_time |
| CC151056 | 10-06-2020 13:08 | C78560 | phone | signup | 64 | male | prd_2 | 08-01-2018 | 16-08-2022 |
| CC247610 | 05-06-2021 13:46 | C97794 | phone | support | 53 | male | prd_1 | 12-08-2019 | 16-08-2022 |
| CC80868 | 20-06-2019 12:54 | C236704 | phone | support | 53 | female | prd_1 | 26-07-2020 | 16-08-2022 |
| CC242946 | 25-05-2021 11:23 | C424686 | phone | support | 53 | male | prd_1 | 22-07-2019 | 16-08-2022 |
| CC59825 | 21-02-2019 08:25 | C34687 | phone | signup | 41 | female | prd_1 | 20-01-2020 | 11-11-2021 |
| CC238631 | 14-05-2021 12:09 | C112123 | phone | signup | 53 | male | prd_1 | 04-07-2019 | 16-08-2022 |
| CC97515 | 19-09-2019 07:01 | C53824 | phone | signup | 65 | male | prd_2 | 12-02-2021 | 16-08-2022 |
| CC15925 | 05-11-2017 14:16 | C12202 | phone | support | 65 | female | prd_1 | 29-03-2018 | 16-08-2022 |
| CC91577 | 17-08-2019 09:36 | C217982 | phone | support | 62 | female | prd_1 | 22-12-2020 | 16-08-2022 |
| CC84669 | 10-07-2019 13:29 | C48191 | phone | signup | 58 | female | prd_1 | 05-09-2020 | 16-08-2022 |
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