Poverty data in Sierra Leone

The dataset includes literacy rate, Poverty rate, and Hunger statistics in Sierra Leone. This dataset is a World Bank data obtained from a macroeconomic trend data website.

The dataset was cleaned before being used to visualize trends and calculate important metrics. It was collected from the website using R software and did some initial exploratory analysis in excel, but the actual analysis was done in R. I tested the hypothesis for normality and this was rejected and so I calculated the annual change from the given percentage population in the data. I did the same for all the dimensions of poverty analyzed in the Journal.

The data is accurate and reliable but only available for nine years (2001-2020) for the hunger statistics, and a few years for the other dimensions of poverty. I was able to determine the trend that followed my poverty analysis in Sierra Leone. Because the information needed to process the data was within my reach , I was able to use the data efficiently to make meaningful analysis and policy recommendations.

The results of the trend analysis help to provide a hallmark model from which meaningful econometric concepts were observed. This enables me to monitor and repeat a re-run of the dataset in R to verify the trends and descriptive statistics calculated in excel. The trend and metrics calculated shows a high rate of poverty in all the poverty dimensions mentioned in the research work.

The handling of the data in these ways was helpful to achieve excellent data analysis and better recommendations that may require government interventions to stimulate and stabilize the economy.

该数据集收录了塞拉利昂的识字率、贫困率和饥饿统计数据。该数据集源自世界银行，并从宏观经济趋势数据网站获取。数据集在用于可视化趋势和计算重要指标之前已进行清洗。利用 R 软件从网站收集数据，并在 Excel 中进行了初步的探索性分析，但实际分析工作是在 R 环境下完成的。我针对数据的正态性假设进行了检验，并予以拒绝，随后根据数据中给出的百分比人口计算了年度变化。对于《期刊》中分析的贫困各个方面，我均进行了同样的处理。

数据准确可靠，但对于饥饿统计数据仅涵盖 2001-2020 年的九年，而其他贫困维度仅涵盖数年。我能够确定与塞拉利昂贫困分析相符的趋势。由于处理数据所需的信息均在可触及范围内，我得以高效利用数据，进行有意义的分析和政策建议。

趋势分析的结果有助于构建一个标志性模型，从中观察到了有意义的计量经济学概念。这使我能够使用 R 监控并重复运行数据集，以验证 Excel 中计算的趋势和描述性统计。

通过这些方式处理数据，有助于实现卓越的数据分析和更优的政策建议，可能需要政府干预以刺激和稳定经济。