"entire column" 的音標為 [?n?t?? ?k?l?m]。

"entire column" 的基本翻譯為"整列"。

速記技巧：利用發音規律快速記住單詞的拼寫。可以將單詞的發音與字母組合相結合，通過發音來快速記憶單詞。例如，可以將 "entire" 這個單詞的發音與 "易內" 這個中文諧音相結合，幫助記憶單詞的拼寫。

"entire"這個詞源自古拉丁語"entius"，意為"whole"或"complete"。它的變化形式有形容詞"entire"，副詞"entirely"，名詞"entail"。

相關單詞：

1. "entirety" - 名詞形式，表示整體或全部。

例句：The entire city was devastated by the hurricane.

2. "entirely" - 副詞形式，表示完全或全部。

例句：I am entirely opposed to the policy.

3. "entail" - 名詞形式，表示繼承或限定繼承。

例句：The will stipulates that the estate is to be entailed to the next of kin.

在英文中，"entire"這個詞經常被使用，例如在描述一個表格或數據集的整個列時，我們可能會說"entire column"。這個詞在口語和書面語中都非常常見，而且經常被用來強調某件事的整體性或完整性。

以上就是關于"entire"這個詞及其相關單詞的一些信息，希望對你有所幫助。

常用短語：

1. entire column 整列

2. column by column 按列

3. column headings 列標題

4. column width 列寬

5. new column 新列

6. data in column 列數據

7. column analysis 列分析

例句：

1. The data is arranged in columns, with entire column headings in bold. 數據按照列排列，整列標題加粗。

2. The data was entered into the spreadsheet, column by column. 數據按列輸入到電子表格中。

3. The report includes a breakdown of sales by product category, by column. 報告按列對產品銷售進行了分類分析。

4. The entire column of figures is incorrect. 這一列數字全部不正確。

5. The new column of data will be added to the spreadsheet. 將把新列的數據添加到電子表格中。

6. We need to analyze the data in each column to identify trends and patterns. 我們需要分析每一列的數據，以識別趨勢和模式。

英文小作文：

Title: Data Analysis Using Columns

Data analysis is essential for many fields, including business, science, and even sports. One of the most common ways to analyze data is by using columns, whether it"s in a spreadsheet or a report. By breaking down data into columns, we can see patterns and trends more clearly, and make better decisions based on the data.

When analyzing data using columns, it"s important to pay attention to the entire column, not just individual cells. This allows us to see the bigger picture and identify patterns that might be hidden in smaller cells. Additionally, we can use different types of columns, such as data in column, column headings, and column analysis, to gain different insights into the data.

By analyzing data using columns, we can gain a better understanding of the data and make more informed decisions based on it. This is especially important in fields like business where data is crucial for making informed decisions and staying competitive. Therefore, using columns for data analysis is an essential skill for anyone who wants to make sense of data and use it effectively.