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.

本数据集涵盖塞拉利昂（Sierra Leone）的识字率、贫困率与饥饿统计数据。本数据集为世界银行（World Bank）公开数据，来源于某宏观经济趋势数据网站。本数据集在用于趋势可视化与核心指标计算前已完成数据清洗。该数据集通过R软件（R）从该网站采集，本人先在Excel中完成初步探索性分析，核心分析环节则依托R语言实现。本人对数据的正态性假设进行检验，结果拒绝该假设，遂基于数据中给出的人口百分比计算年度变化率。针对该学术期刊中涉及的所有贫困维度分析，本人均采用了相同的处理流程。该数据集准确性与可靠性俱佳，但饥饿统计数据仅覆盖2001年至2020年共9个年份，其余贫困维度的数据覆盖年限相对较短。本人得以明确塞拉利昂贫困状况分析中的趋势走向。由于所需的数据处理相关信息均可获取，本人得以高效利用该数据集开展富有价值的分析工作，并提出针对性政策建议。本次趋势分析的结果构建了一个标志性分析模型，从中可提炼出诸多具有学术价值的计量经济学概念。这使得本人可在R软件中对数据集进行复现与核查，以验证在Excel中计算得到的趋势与描述性统计结果。本次计算得到的趋势与指标显示，本研究提及的所有贫困维度均处于较高水平。上述数据处理流程助力本研究获得高质量的数据分析结果，并提出了更具针对性的政策建议——这些建议或需政府介入，以刺激经济并维持其稳定运行。