<tr>          <td>Blue Jays</td>          <td>75.48</td>          <td>73</td>        </tr>        <tr>          <td>Royals</td>          <td>60.91</td>          <td>72</td>        </tr>        <tr>          <td>Marlins</td>          <td>118.07</td>          <td>69</td>        </tr>        <tr>          <td>Red Sox</td>          <td>173.18</td>          <td>69</td>        </tr>        <tr>          <td>Indians</td>          <td>78.43</td>          <td>68</td>        </tr>        <tr>          <td>Twins</td>          <td>94.08</td>          <td>66</td>        </tr>        <tr>          <td>Rockies</td>          <td>78.06</td>          <td>64</td>        </tr>        <tr>          <td>Cubs</td>          <td>88.19</td>          <td>61</td>        </tr>        <tr>          <td>Astros</td>          <td>60.65</td>          <td>55</td>        </tr>      </tbody>    </table>PreviousCopy PasteNextCube Semantic LayerCustomizing the csv parsing and loadingSpecify a column to identify the document sourceUnstructuredCSVLoaderCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.
A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. ->: <tr>          <td>Blue Jays</td>          <td>75.48</td>          <td>73</td>        </tr>        <tr>          <td>Royals</td>          <td>60.91</td>          <td>72</td>        </tr>        <tr>          <td>Marlins</td>          <td>118.07</td>          <td>69</td>        </tr>        <tr>          <td>Red Sox</td>          <td>173.18</td>          <td>69</td>        </tr>        <tr>          <td>Indians</td>          <td>78.43</td>          <td>68</td>        </tr>        <tr>          <td>Twins</td>          <td>94.08</td>          <td>66</td>        </tr>        <tr>          <td>Rockies</td>          <td>78.06</td>          <td>64</td>        </tr>        <tr>          <td>Cubs</td>          <td>88.19</td>          <td>61</td>        </tr>        <tr>          <td>Astros</td>          <td>60.65</td>          <td>55</td>        </tr>      </tbody>    </table>PreviousCopy PasteNextCube Semantic LayerCustomizing the csv parsing and loadingSpecify a column to identify the document sourceUnstructuredCSVLoaderCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.