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    First published on Friday, Aug 22, 2025 and last modified on Tuesday, Dec 9, 2025

    Tables

    François Chaplais

    1 Tables

    The LaTeX rendering of tables is awful. It has been designed for print in black and white. Fortunately, LaTeX2Web renders LaTeX tables in a way that makes them more usable.

    LaTeX tables are actually wrappers for LaTeX tabular environments, which contain the actual data. Here is a minimum LaTeX table. Rows are automatically “striped”, and they change tint on hever.

    Table 1. A minimal example
    one two three
    four five six

    Here is the code. 

    \begin{table}
\caption{A minimal example}
\begin{tabular}
one & two & three \\ 
four & five & six
\end{tabular}
\end{table}

    Normally, a LaTeX tabular environment takes a second parameter which specifies the vertical bars and alignment for each column. \hline commands have been added to the rows to add horizontal dividers.

    Table 2. An example with column alignment
    one two three
    four five six

    Note: we use the Bootstrap framework which interferes with the way the borders are drawn.

    Here is the code. 

    \begin{table}
\caption{An example with column alignment}
\begin{tabular}{|l|c|r}
\hline 
one & two & three \\ 
\hline 
four & five & six \\ 
\hline
\end{tabular}
\end{table}

    You can expand the table to full window width by clicking on the icon.

    2 Summary

    Summary 1

    Tabular data is encapsulated in a tabular environment. Rows are separated by double backslashes \ \ , and columns are separated by ampersand & characters. Cells must consist in running text.

    Tables are a wrapper for tabular data that adds a caption. Tables can be expanded to full window width.

    3 CSV tables

    CSV tables are LaTeX2Web specific environment which displays a table directly form a CSV file, with many sorting and display abilities. Here is an example.

    ID Last Name First Name Birthdate Income
    0 Smith John 1987-02-14T09:35:00Z 75000
    1 Johnson Lisa 1991-07-21T18:12:00Z 82000
    2 Garcia Michael 1985-11-03T14:27:00Z 99000
    3 Nguyen Jennifer 1979-05-08T08:45:00Z 117000
    4 Lee David 1993-09-17T11:58:00Z 68000
    5 Cohen Michelle 1988-03-29T20:20:00Z 86000
    6 Martinez Robert 1982-12-10T13:15:00Z 105000
    7 Lopez Emily 1976-08-05T07:10:00Z 128000
    8 Huang Christopher 1990-01-18T16:03:00Z 73000
    9 Patel Angela 1984-06-27T10:50:00Z 95000
    10 Kim Matthew 1989-02-09T21:05:00Z 77000
    11 Khan Amanda 1983-07-12T12:30:00Z 92000
    12 Anderson Joshua 1977-11-25T08:55:00Z 116000
    13 Gonzalez Samantha 1992-04-01T17:45:00Z 70000
    14 Walker Daniel 1986-09-24T11:12:00Z 94000
    15 Brown Ashley 1980-02-28T22:18:00Z 88000
    16 Thompson Andrew 1974-08-13T14:40:00Z 128000
    17 Wang Brianna 1988-01-04T07:25:00Z 77000
    18 Silva Brian 1993-06-07T18:32:00Z 81000
    19 Nguyen Mary 1979-10-20T11:15:00Z 117000
    20 Clark Scott 1984-04-02T19:50:00Z 86000
    21 Chen Stephanie 1988-09-13T13:05:00Z 109000
    22 Lewis Charles 1991-02-26T23:08:00Z 78000
    23 Murphy Rebecca 1985-07-09T08:55:00Z 92000
    24 Hernandez Benjamin 1979-12-22T20:30:00Z 115000
    25 Ali Victoria 1994-05-15T10:22:00Z 74000
    26 Wilson Christopher 1988-09-28T21:05:00Z 92000
    27 Park Alexis 1983-03-03T12:50:00Z 99000
    28 Gomez Rayn 1977-07-16T07:35:00Z 113000
    29 Chowdhury Kayla 1992-01-29T18:18:00Z 76000
    30 Wright Nicholas 1986-06-11T09:40:00Z 106000
    31 Santos Olivia 1990-12-25T22:15:00Z 89000
    32 Chung Jonathan 1985-11-03T14:27:00Z 72000
    33 Garcia Julio 1988-02-14T09:35:00Z 81500
    34 Kim Soo-jin 1991-07-21T18:12:00Z 125000
    35 Singh Rajiv 1985-11-03T14:27:00Z 96000
    36 Nguyen Hoa 1979-05-08T08:45:00Z 132000
    37 Chen Yun 1993-09-17T11:58:00Z 69000
    38 Alvarez Miguel 1988-03-29T20:20:00Z 107000
    39 Jones Keisha 1982-12-10T13:15:00Z 149000
    40 Gupta Arun 1976-08-05T07:10:00Z 183000
    41 Martinez Sofia 1990-01-18T16:03:00Z 78000
    42 Lee Sang-woo 1984-06-27T10:50:00Z 125000
    43 Cruz Ricardo 1989-02-09T21:05:00Z 97000
    44 Chung Soo-min 1983-07-12T12:30:00Z 115000
    45 Jackson DeAndre 1977-11-25T08:55:00Z 165000
    46 Gonzalez Carlos 1992-04-01T17:45:00Z 72000
    47 Patel Anita 1986-09-24T11:12:00Z 128000
    48 Walker Tyrone 1980-02-28T22:18:00Z 99000
    49 Lopez Juan 1974-08-13T14:40:00Z 197000
    50 Zhao Wei 1988-01-04T07:25:00Z 87000
    51 Ali Mohammed 1993-06-07T18:32:00Z 68000
    52 Kim Ji-hye 1979-10-20T11:15:00Z 149000
    53 O'Brien Megan 1984-04-02T19:50:00Z 98000
    54 Gupta Anjali 1988-09-13T13:05:00Z 123000
    55 Khan Nasir 1991-02-26T23:08:00Z 84000
    56 Gomez Isabella 1985-07-09T08:55:00Z 128000
    57 Lopez Jorge 1979-12-22T20:30:00Z 178000
    58 Kim Min-ji 1994-05-15T10:22:00Z 72000
    59 Hernandez Maria 1988-09-28T21:05:00Z 99000
    60 Ali Sara 1983-03-03T12:50:00Z 114000
    61 Wong Jonathan 1977-07-16T07:35:00Z 162000
    62 Chung Hyun-joo 1992-01-29T18:18:00Z 85000
    63 Wu Wei 1986-06-11T09:45:00Z 118000
    64 Singh Balraj 1987-02-14T09:35:00Z 62000
    65 Johnson Lisa 1991-07-21T18:12:00Z 75000
    66 Gonzalez Michael 1985-11-03T14:27:00Z 87000
    67 Li Jennifer 1979-05-08T08:45:00Z 95000
    68 Brown David 1993-09-17T11:58:00Z 53000
    69 Kim Michelle 1988-03-29T20:20:00Z 71000
    70 Miller Rayn 1982-12-10T13:15:00Z 82000
    71 Patel Emily 1976-08-05T07:10:00Z 96000
    72 Nguyen Christopher 1990-01-18T16:03:00Z 68000
    73 Taylor Angela 1984-06-27T10:50:00Z 79000
    74 Anderson Matthew 1989-02-09T21:05:00Z 64000
    75 Thomas Amanda 1983-07-12T12:30:00Z 77000
    76 Garcia Joshua 1977-11-25T08:55:00Z 92000
    77 White Samantha 1992-04-01T17:45:00Z 56000
    78 Ali Daniel 1986-09-24T11:12:00Z 75000
    79 Martin Ashley 1980-02-28T22:18:00Z 71000
    80 Thompson Andrew 1974-08-13T14:40:00Z 89000
    81 Lopez Stephanie 1988-09-13T13:05:00Z 83000
    82 Chen Charles 1991-02-26T23:08:00Z 67000
    83 Lee Rebecca 1985-07-09T08:55:00Z 79000
    84 Walker Benjamin 1979-12-22T20:30:00Z 92000
    85 Hall Maria 1994-05-15T10:22:00Z 57000
    86 Allen Christopher 1988-09-28T21:05:00Z 71000
    87 Mohammed Alexis 1983-03-03T12:50:00Z 79000
    88 Hernandez Ryan 1977-07-16T07:35:00Z 93000
    89 King Aaliyah 1992-01-29T18:18:00Z 62000
    90 Wright Nicholas 1986-06-11T09:42:00Z 74000
    91 Zhang Kayla 1980-12-09T10:15:00Z 88000
    92 Harris Emma 1988-06-22T14:55:00Z 72000
    93 Clark David 1979-01-13T16:28:00Z 85000
    94 Rodriguez Sarah 1984-04-02T19:50:00Z 65000
    95 Lewis Jason 1990-09-26T22:03:00Z 79000
    96 Nguyen Michelle 1988-03-29T20:20:00Z 68000
    97 Miller Robert 1982-12-10T13:15:00Z 80000
    98 Lee Emily 1976-08-05T07:10:00Z 105000
    99 Martinez Christopher 1990-01-18T16:03:00Z 58000

    A sample CSV table

    Here is the code. 

    \begin{csv}
\caption{A sample CSV table}
\url{Tutorial (Fake Data).csv}
\end{csv}

    Tutorial (Fake Data).csv is a CSV file that has been uploaded to the project. More info on CSV tables is available at the online help . CSV tables can also be expanded.