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@@ -90,8 +90,8 @@
 
   <H2 ID="0"><font color="blue">Summary <font size="+4">&#9730;</font></font></font></H2>
 <font size="+1">Since DataFrame is a statistical library, it often deals with time-series data. So, it needs to keep track of time.<BR>
-The most efficient way of indexing DataFrame by time is to use an index type of time_t for second precision or double or long long integer for more precision. DateTime class provides a more elaborate handling of time. Also, it is a general handy DateTime object. DateTime is a cool and handy object to manipulate date/time with nanosecond precision and multi timezone capability. It has a very simple and intuitive interface that allows you to break date/time to their components, reassemble date/time from their components, advance or pullback date/time with different granularities, and more.</font><BR>
-<I>DateTime</I> is one of the types that <I>DataFrame</I> library can read/write from/to files and serialization.<BR>
+The most efficient way of indexing DataFrame by time is to use an index type of time_t for second precision or double or long long integer for more precision. DateTime class provides a more elaborate handling of time. Also, it is a general handy DateTime object. DateTime is a cool and handy object to manipulate date/time with nanosecond precision and multi timezone capability. It has a very simple and intuitive interface that allows you to break date/time to their components, reassemble date/time from their components, advance or pullback date/time with different granularities, and more.<BR>
+<I>DateTime</I> is one of the types that <I>DataFrame</I> library can read/write from/to files and serialization.</font><BR>
 
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