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<h1>Group Datetime Column by Date</h1>
<p>When working with large datasets, it can be useful to group data by a specific date or time interval. This allows for easier analysis and visualization of trends over time.</p>
<p>One common scenario is when dealing with datetime columns in a database or spreadsheet. These columns contain both date and time information, making it difficult to group and aggregate the data by date alone.</p>
<p>Fortunately, there are several ways to group a datetime column by date. Let's explore some of the options.</p>
<h2>1. Group by Date in SQL</h2>
<p>If you are working with a SQL database, you can use the <code>DATE()</code> function to extract the date from a datetime column. This function takes in a datetime value and returns only the date portion.</p>
<p>For example, if we have a table called <code>sales</code> with a datetime column <code>date_time</code>, we can use the following query to group the data by date:</p>
<pre>
<code>SELECT DATE(date_time) AS date, SUM(total_sales) AS total_sales
FROM sales
GROUP BY DATE(date_time)</code>
</pre>
<p>This will give us a result set with the total sales for each date in the <code>date_time</code> column. We can then use this data to create a chart or further analyze the trends over time.</p>
<h2>2. Group by Date in Excel</h2>
<p>If you are working with an Excel spreadsheet, you can use the <code>TEXT()</code> function to extract the date from a datetime value. This function takes in a datetime value and a formatting string, and returns the date portion in the specified format.</p>
<p>For example, if we have a column of datetime values in column A, we can use the following formula in column B to extract the date:</p>
<pre>
<code>=TEXT(A2, "mm/dd/yyyy")</code>
</pre>
<p>This will give us the date in the format of month/day/year. We can then use this formula for the entire column and then group the data by the date column to get the total sales for each date.</p>
<h2>3. Group by Date in Python</h2>
<p>If you are working with data in Python, you can use the <code>datetime</code> module to extract the date from a datetime object. First, you will need to import the module:</p>
<pre>
<code>import datetime</code>
</pre>
<p>Then, you can use the <code>date()</code> method to extract the date from a datetime object:</p>
<pre>
<code>date = datetime.datetime.now().date()</code>
</pre>
<p>This will give us the current date. We can then use this date to group the data by date and perform any necessary calculations or analysis.</p>
<h2>Conclusion</h2>
<p>Grouping a datetime column by date can be a useful tool in data analysis.
