This report presents a comprehensive data analysis of transport spending over a ten-month period. The analysis begins with representing the data in a tabular format and visualizing it through column and line charts. Descriptive statistics, including mean, median, mode, range, and standard deviation, are calculated and interpreted to understand the central tendencies and variability of the data. Furthermore, the report employs a linear forecasting model to estimate transport spending for the 14th and 16th months, providing insights into future financial requirements. The report concludes that data analysis provides a framework for decision making and financial planning. The report leverages statistical techniques to examine their effect over the pertinence and usage of information, regarding this, prominent business-related choice can be embraced.
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