As You All Read According To Kirk 2016 Most Of Your Time Wil

As You All Read According To Kirk 2016 Most Of Your Time Will Be S

As you all read, according to Kirk (2016), most of your time will be spent working with your data. The four following group actions were mentioned by Kirk (2016): Data acquisition: Gathering the raw material; Data examination: Identifying physical properties and meaning; Data transformation: Enhancing your data through modification and consolidation; Data exploration: Using exploratory analysis and research techniques to learn. Select 1 data action and elaborate on the actions performed in that action group. Please make sure you have an initial post (about 200 words) and a comment/post to one of your friends' posts.

Paper For Above instruction

Data examination is a critical phase in the data analysis process that involves thoroughly inspecting and understanding the data collected during the data acquisition phase. This step is essential because it helps to identify the physical properties, patterns, anomalies, and inconsistencies within the dataset. The primary actions performed during data examination include summarizing data through descriptive statistics, visualizing data using charts and graphs, and checking for missing or corrupt data entries.

First, descriptive statistics such as mean, median, mode, variance, and standard deviation are calculated to understand the distribution and central tendency of the data. These statistics provide insights into the characteristics of the dataset and help to identify outliers or unusual observations that may require further investigation or cleaning. Second, visualization techniques like histograms, box plots, scatter plots, and heatmaps are employed to graphically represent data patterns, correlations, and potential anomalies, making it easier to interpret complex datasets.

Additionally, during data examination, data quality assessments are conducted to check for missing values, duplicate records, or inconsistent entries that can compromise analysis accuracy. Identifying such issues early allows data analysts to decide whether to clean, correct, or remove problematic data points before proceeding with further analysis stages. Overall, data examination enables a comprehensive understanding of the dataset, ensuring the subsequent analysis is accurate and meaningful.

References

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