The distribution of the total and monthly charges to clients in your dataset is shown by these histograms. The blue histogram indicates that the majority of clients have total charges that fall between the low and high ranges. According to the green histogram, more customers are charged more each month, while fewer customers are charged less. These illustrations make it easier to comprehend how costs are distributed among your customers. 

The tenure of clients associated with the business displays a varied range, reflecting fluctuations in the duration of their association. Monthly charges exhibit a broad interquartile range, providing clients with a spectrum of monthly rates. Total charges demonstrate a wide range skewed towards higher values. Average monthly long-distance fees are generally modest, with occasional exceptions. Most clients receive refunds within a narrow range, while total additional data fees show consistent distribution. Total long-distance charges show a slightly broader range with anomalies suggesting some clients incur significantly higher fees. Customer satisfaction scores span a wide range, indicating varying levels of satisfaction. The churn value likely represents a small-range or binary numeric column indicating customer churn status. 

The box plot illustrates how various contract types affect Total Revenue. One-year contracts are less variable and have a median revenue in the middle range. With a wider range and numerous outliers, two-year contracts have a higher median revenue, suggesting some very high-revenue clients. Compared to longer contracts, month-to-month agreements had the smallest range and lowest median revenue, indicating greater stability but generally lower total revenue. 

The comparison of survey responses between consumers with and without internet connection, grouped by various satisfaction rankings, is shown in this stacked bar chart. With segments inside each bar signifying the percentage of respondents with particular satisfaction scores, each bar represents a group (No or Yes to Internet Service). From the lowest to the highest satisfaction scores, the different shades of blue represent the scores. A broad range of scores is shown by both groups, indicating similar score distributions. But there isn’t enough labelling in the legend to understand how scores relate to colour parts. Still, the graphic does a good job of illustrating how consumers’ satisfaction ratings differ according to their internet service status. 

The monthly costs for DSL, Fiber Optic, and Cable internet services are displayed in a scatter plot. Every dot symbolizes a customer, and its vertical position signifies the monthly fee. It shows that while Fiber Optic customers face a larger range of rates, usually greater than DSL, DSL users often have lower charges within a small range. The rates that cable customers pay are similar to those of DSL users, however they lean a little bit in the direction of higher rates. The plot’s jitter skillfully illustrates the density of points, offering details on the concentration of users at various price tiers for every kind of internet service.