Welcome to the jQuery-CSV + Flot Demonstration

On the adjacent tabs, you will find demonstrations whereby you can load your own data into a fully functional Flot chart.

You'll need the HTML5 File Api to use the file loader but no worries, if your browser is lagging behind in HTML5 adoption ::cough::IE::cough:: you can still try out the demos by pasting data into the text area in the first example.

If you don't have a dataset of your own feel free to try one of these:

• Google Analytics Data Dump 1
• Google Analytics Data Dump 2
• Sine Wave
• Auto Data

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The main project page can be found on GitHub

For API specifics. See the API Documentation.

If you would like to provide feedback, start a Discussion.

If you find a bug, report an Issue.

If you have a suggestion for a new feature, create a Feature Request.

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Enjoy...

To use this demo, simply paste your dataset into the text area and hit the 'Run' button.

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0,0.5 0.01,0.5313952597646567 0.02,0.5626666167821521 0.03,0.5936906572928623 0.04,0.6243449435824274 0.05,0.6545084971874737 0.060000000000000005,0.684062276342339 0.07,0.7128896457825363 0.08,0.7408768370508576 0.09,0.7679133974894983 0.09999999999999999,0.7938926261462365 0.10999999999999999,0.8187119948743449 0.11999999999999998,0.8422735529643443 0.12999999999999998,0.8644843137107057 0.13999999999999999,0.8852566213878945 0.15,0.9045084971874736 0.16,0.9221639627510074 0.17,0.9381533400219317 0.18000000000000002,0.9524135262330098 0.19000000000000003,0.9648882429441257 0.20000000000000004,0.9755282581475768 0.21000000000000005,0.9842915805643155 0.22000000000000006,0.9911436253643444 0.23000000000000007,0.996057350657239 0.24000000000000007,0.9990133642141358 0.25000000000000006,1 0.26000000000000006,0.9990133642141358 0.2700000000000001,0.9960573506572389 0.2800000000000001,0.9911436253643442 0.2900000000000001,0.9842915805643154 0.3000000000000001,0.9755282581475766 0.3100000000000001,0.9648882429441255 0.3200000000000001,0.9524135262330096 0.3300000000000001,0.9381533400219315 0.34000000000000014,0.9221639627510072 0.35000000000000014,0.9045084971874733 0.36000000000000015,0.8852566213878942 0.37000000000000016,0.8644843137107052 0.38000000000000017,0.8422735529643438 0.3900000000000002,0.8187119948743442 0.4000000000000002,0.7938926261462359 0.4100000000000002,0.7679133974894976 0.4200000000000002,0.7408768370508568 0.4300000000000002,0.7128896457825354 0.4400000000000002,0.6840622763423381 0.45000000000000023,0.6545084971874727 0.46000000000000024,0.6243449435824263 0.47000000000000025,0.5936906572928612 0.48000000000000026,0.5626666167821509 0.49000000000000027,0.5313952597646555 0.5000000000000002,0.4999999999999987 0.5100000000000002,0.468604740235342 0.5200000000000002,0.43733338321784654 0.5300000000000002,0.4063093427071363 0.5400000000000003,0.3756550564175712 0.5500000000000003,0.3454915028125249 0.5600000000000003,0.3159377236576596 0.5700000000000003,0.2871103542174622 0.5800000000000003,0.25912316294914095 0.5900000000000003,0.23208660251050028 0.6000000000000003,0.20610737385376204 0.6100000000000003,0.1812880051256538 0.6200000000000003,0.15772644703565436 0.6300000000000003,0.135515686289293 0.6400000000000003,0.11474337861210421 0.6500000000000004,0.09549150281252528 0.6600000000000004,0.07783603724899163 0.6700000000000004,0.06184665997806754 0.6800000000000004,0.04758647376698977 0.6900000000000004,0.03511175705587394 0.7000000000000004,0.024471741852422957 0.7100000000000004,0.015708419435684295 0.7200000000000004,0.008856374635655584 0.7300000000000004,0.003942649342761062 0.7400000000000004,0.0009866357858642205 0.7500000000000004,0 0.7600000000000005,0.0009866357858642205 0.7700000000000005,0.0039426493427610065 0.7800000000000005,0.008856374635655528 0.7900000000000005,0.01570841943568424 0.8000000000000005,0.0244717418524229 0.8100000000000005,0.03511175705587388 0.8200000000000005,0.047586473766989656 0.8300000000000005,0.061846659978067486 0.8400000000000005,0.07783603724899157 0.8500000000000005,0.09549150281252516 0.8600000000000005,0.1147433786121041 0.8700000000000006,0.13551568628929272 0.8800000000000006,0.15772644703565392 0.8900000000000006,0.18128800512565313 0.9000000000000006,0.2061073738537612 0.9100000000000006,0.23208660251049917 0.9200000000000006,0.2591231629491396 0.9300000000000006,0.2871103542174607 0.9400000000000006,0.31593772365765777 0.9500000000000006,0.34549150281252283 0.9600000000000006,0.3756550564175689 0.9700000000000006,0.4063093427071337 0.9800000000000006,0.4373333832178437 0.9900000000000007,0.46860474023533893

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To use this demo, just choose a CSV file through the file dialog. Really, it's that easy.

Note: This demo is capable of processing and loading multiple data files. Just select more than one file in the dialog.

I suggest you try loading the analytics1.csv and analytics2.csv data sets together.

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