Zoomscatter, Treemap, ZoomlineDY: 3 New Chart Types in 2016

It is the new year and we at FusionCharts are super-excited! Not just because it is time for new beginnings and new resolutions, but also because FusionCharts Suite XT v3.10 is now out! It’s been a while since we introduced a new chart. So this time around, we thought why not surprise you and bring in three new charts, highly requested by customers, that aid in visualizing newer and bigger forms of data. Read on to know what’s new!

The Treemap Chart

The treemap chart is modeled on the tree data structure and is used to plot hierarchical information. It is created using 2D nested rectangles, which represent the nodes and leaves of the information tree and can be compared to gain insights from the information rendered on the chart. Take a look at the live sample of a treemap chart below: FusionCharts.ready(function () { new FusionCharts({“id”:”chart1″,”width”:”100%”,”height”:”400″,”renderAt”:”fc_div1″,”type”:”treemap”,”dataFormat”:”json”,”dataSource”:{ “chart”: { “animation”: “0”, “hideTitle”: “1”, “plotToolText”: “$label Sale: $$valueGrowth: $svalue%”, “spacex”: “0”, “spacey”: “0”, “horizontalPadding”: “1”, “verticalPadding”: “1”, “hoveronallsiblingleaves”: “1”, “plotborderthickness”: “.5”, “plotbordercolor”: “666666”, “legendpadding”: “0”, “legendItemFontSize”: “10”, “legendItemFontBold”: “1”, “showLegend”: “1”, “legendPointerWidth”: “8”, “legenditemfontcolor”: “3d5c5c”, “algorithm”: “squarified”, “caption”: “Harry’s SuperMart: Sales Team Performance Analysis”, “legendScaleLineThickness”: “0”, “legendCaptionFontSize”: “10”, “subcaption”: “Year Till Date”, “legendCaption”: “Growth in sales – Compared to previous year”, “theme”: “fint” }, “data”: [{ “label”: “USA”, “fillcolor”: “8c8c8c”, “value”: “8635000”, “data”: [{ “label”: “Northern Region”, “value”: “4140000”, “data”: [{ “label”: “Carol Francis”, “value”: “84000”, “sValue”: “15” }, { “label”: “Otis Newman”, “value”: “60000”, “sValue”: “10” }, { “label”: “Darlene Alvarez”, “value”: “50000”, “sValue”: “11” }, { “label”: “Lucas Cannon”, “value”: “58000”, “sValue”: “5” }, { “label”: “Rosalie Huff”, “value”: “36000”, “sValue”: “-5” }, { “label”: “Jerome Vargas”, “value”: “72000”, “sValue”: “14” }, { “label”: “Becky Barton”, “value”: “18000”, “sValue”: “-10” }, { “label”: “Ben Rios”, “value”: “14000”, “sValue”: “-5” }, { “label”: “Donnie Patton”, “value”: “37000”, “sValue”: “2” }, { “label”: “Dana Freeman”, “value”: “41000”, “sValue”: “5” }, { “label”: “Darren Barrett”, “value”: “54000”, “sValue”: “7” }, { “label”: “Steve Vaughn”, “value”: “35000”, “sValue”: “12” }, { “label”: “Roosevelt Rhodes”, “value”: “48000”, “sValue”: “15” }, { “label”: “Moses Sparks”, “value”: “38000”, “sValue”: “-4” }, { “label”: “Hope Cox”, “value”: “32000”, “sValue”: “-10” }, { “label”: “Hector Lowe”, “value”: “66000”, “sValue”: “15” }, { “label”: “Lori Christensen”, “value”: “47000”, “sValue”: “10” }, { “label”: “Roman Aguilar”, “value”: “14000”, “sValue”: “-15” }, { “label”: “Brittany Chandler”, “value”: “21000”, “sValue”: “-12” }, { “label”: “Tiffaney Battle”, “value”: “60000”, “sValue”: “10” }, { “label”: “Elin Stamps”, “value”: “54000”, “sValue”: “5” }, { “label”: “Donnetta Coley”, “value”: “59000”, “sValue”: “+14” }, { “label”: “Emmaline Halcomb”, “value”: “34000”, “sValue”: “-5” }, { “label”: “Natosha Hammett”, “value”: “39000”, “sValue”: “-7” }, { “label”: “Kimi Stegall”, “value”: “15000”, “sValue”: “-19” }, { “label”: “Norberto Kirk”, “value”: “46000”, “sValue”: “2” }, { “label”: “Noma Martindale”, “value”: “52000”, “sValue”: “12” }, { “label”: “Coreen Numbers”, “value”: “30000”, “sValue”: “-1” }, { “label”: “Chas Irvin”, “value”: “26000”, “sValue”: “-17” }, { “label”: “Carlo Tobin”, “value”: “31000”, “sValue”: “-14” }, { “label”: “Ayanna Mclain”, “value”: “29000”, “sValue”: “-5” }, { “label”: “Rolland Turney”, “value”: “42000”, “sValue”: “+5” }, { “label”: “Ona Roden”, “value”: “64000”, “sValue”: “+20” }, { “label”: “Drew Clarkson”, “value”: “24000”, “sValue”: “-20” }, { “label”: “Samuel Adler”, “value”: “29000”, “sValue”: “-15” }, { “label”: “Adrian Steen”, “value”: “51000”, “sValue”: “2” }, { “label”: “Xiao Batson”, “value”: “35000”, “sValue”: “-2” }, { “label”: “Britney Hammonds”, “value”: “45000”, “sValue”: “3” }, { “label”: “Roslyn Wilhelm”, “value”: “28000”, “sValue”: “-5” }, { “label”: “Alva Puente”, “value”: “26000”, “sValue”: “-8” }, { “label”: “Daina Horvath”, “value”: “49000”, “sValue”: “9” }, { “label”: “Louie Chaney”, “value”: “54000”, “sValue”: “15” }, { “label”: “Olympia Mcmullen”, “value”: “71000”, “sValue”: “14” }, { “label”: “Nichol Leclair”, “value”: “38000”, “sValue”: “-10” }, { “label”: “Marylou Messenger”, “value”: “41000”, “sValue”: “5” }, { “label”: “Christoper Crowley”, “value”: “34000”, “sValue”: “-4” }, { “label”: “Neville Venable”, “value”: “37000”, “sValue”: “-10” }, { “label”: “Brock Rowell”, “value”: “35000”, “sValue”: “-4” }, { “label”: “Gisele Pelletier”, “value”: “32000”, “sValue”: “-5” }, { “label”: “Thelma Caldwell”, “value”: “35000”, “sValue”: “5” }, { “label”: “Shyla Plunkett”, “value”: “84000”, “sValue”: “15” }, { “label”: “Joie Dickson”, “value”: “60000”, “sValue”: “10” }, { “label”: “Shana Nabors”, “value”: “50000”, “sValue”: “11” }, { “label”: “Catina Burris”, “value”: “58000”, “sValue”: “5” }, { “label”: “Man Spearman”, “value”: “36000”, “sValue”: “-5” }, { “label”: “Shaunna Hamby”, “value”: “72000”, “sValue”: “14” }, { “label”: “Stormy Read”, “value”: “18000”, “sValue”: “-10” }, { “label”: “Wen Coe”, “value”: “14000”, “sValue”: “-5” }, { “label”: “Elizebeth Poston”, “value”: “37000”, “sValue”: “2” }, { “label”: “Breanna Stringer”, “value”: “41000”, “sValue”: “5” }, { “label”: “Allyn Holly”, “value”: “54000”, “sValue”: “7” }, { “label”: “Lera Gaylord”, “value”: “35000”, “sValue”: “12” }, { “label”: “Lashunda Dowd”, “value”: “48000”, “sValue”: “15” }, { “label”: “Kiesha Tyner”, “value”: “38000”, “sValue”: “-4” }, { “label”: “Lamont Allman”, “value”: “32000”, “sValue”: “-10” }, { “label”: “Sun Switzer”, “value”: “66000”, “sValue”: “15” }, { “label”: “Dorene Small”, “value”: “47000”, “sValue”: “10” }, { “label”: “Cherlyn Bozeman”, “value”: “14000”, “sValue”: “-15” }, { “label”: “Stephani Contreras”, “value”: “21000”, “sValue”: “-12” }, { “label”: “Bebe Holcomb”, “value”: “60000”, “sValue”: “10” }, { “label”: “Shenika Barham”, “value”: “54000”, “sValue”: “5” }, { “label”: “Troy Hobbs”, “value”: “59000”, “sValue”: “+14” }, { “label”: “Thomas Tom”, “value”: “34000”, “sValue”: “-5” }, { “label”: “Sunshine Libby”, “value”: “39000”, “sValue”: “-7” }, { “label”: “Tambra Patten”, “value”: “15000”, “sValue”: “-19” }, { “label”: “Marlyn Cato”, “value”: “46000”, “sValue”: “2” }, { “label”: “Jeanelle Ham”, “value”: “52000”, “sValue”: “12” }, { “label”: “Armanda Kimble”, “value”: “30000”, “sValue”: “-1” }, { “label”: “Danna Fitzpatrick”, “value”: “26000”, “sValue”: “-17” }, { “label”: “Elmira Nagle”, “value”: “31000”, “sValue”: “-14” }, { “label”: “Bella Marx”, “value”: “29000”, “sValue”: “-5” }, { “label”: “Vania Meeks”, “value”: “42000”, “sValue”: “+5” }, { “label”: “Florencio Heffner”, “value”: “64000”, “sValue”: “+20” }, { “label”: “Amie Peoples”, “value”: “24000”, “sValue”: “-20” }, { “label”: “Chrystal Downs”, “value”: “29000”, “sValue”: “-15” }, { “label”: “Glennis Chisholm”, “value”: “51000”, “sValue”: “2” }, { “label”: “Sydney Castaneda”, “value”: “35000”, “sValue”: “-2” }, { “label”: “Gregory Drummond”, “value”: “45000”, “sValue”: “3” }, { “label”: “Birdie Neely”, “value”: “28000”, “sValue”: “-5” }, { “label”: “Ciera Mcafee”, “value”: “26000”, “sValue”: “-8” }, { “label”: “Martin Larose”, “value”: “49000”, “sValue”: “9” }, { “label”: “Bobette Dutton”, “value”: “54000”, “sValue”: “15” }, { “label”: “Numbers Yarbrough”, “value”: “71000”, “sValue”: “14” }, { “label”: “Sanjuanita Croteau”, “value”: “38000”, “sValue”: “-10” }, { “label”: “Alysha Aguirre”, “value”: “41000”, “sValue”: “5” }, { “label”: “Beau Welker”, “value”: “34000”, “sValue”: “-4” }, { “label”: “Yuri Brannon”, “value”: “37000”, “sValue”: “-10” }, { “label”: “Breana Marion”, “value”: “35000”, “sValue”: “-4” }, { “label”: “Bernardina Fennell”, “value”: “32000”, “sValue”: “-5” }, { “label”: “Bridgette Gould”, “value”: “35000”, “sValue”: “5” }] }, { “label”: “Eastern Region”, “value”: “1110000”, “data”: [{ “label”: “Lee Miles”, “value”: “18000”, “sValue”: “-5” }, { “label”: “Eduardo Day”, “value”: “21000”, “sValue”: “5” }, { “label”: “Darrell Schultz”, “value”: “29500”, “sValue”: “10” }, { “label”: “Troy Patrick”, “value”: “25500”, “sValue”: “12” }, { “label”: “Kerry Smith”, “value”: “30000”, “sValue”: “15” }, { “label”: “Franklin Walker”, “value”: “18500”, “sValue”: “-5” }, { “label”: “Toby Brady”, “value”: “28500”, “sValue”: “-2” }, { “label”: “Kenneth Wilkerson”, “value”: “25000”, “sValue”: “5” }, { “label”: “Ralph Goodman”, “value”: “36000”, “sValue”: “10” }, { “label”: “Lela Glover”, “value”: “15500”, “sValue”: “-14” }, { “label”: “Warren Gordon”, “value”: “25500”, “sValue”: “-10” }, { “label”: “Gladys Ruiz”, “value”: “33000”, “sValue”: “15” }, { “label”: “Mabel Norris”, “value”: “14000”, “sValue”: “-5” }, { “label”: “Darrel Rodgers”, “value”: “17500”, “sValue”: “-15” }, { “label”: “Barry Larson”, “value”: “20000”, “sValue”: “2” }, { “label”: “Alma Houston”, “value”: “31000”, “sValue”: “-3” }, { “label”: “Rochelle Burke”, “value”: “12500”, “sValue”: “5” }, { “label”: “Orville Garza”, “value”: “34500”, “sValue”: “-7” }, { “label”: “Rex Nichols”, “value”: “14500”, “sValue”: “-10” }, { “label”: “Jenna Burton”, “value”: “18500”, “sValue”: “8” }, { “label”: “Jordan Little”, “value”: “21000”, “sValue”: “3” }, { “label”: “Rodolfo Dawson”, “value”: “28500”, “sValue”: “10” }, { “label”: “Darryl Bowen”, “value”: “15500”, “sValue”: “-10” }, { “label”: “Marsha Foster”, “value”: “12500”, “sValue”: “-18” }, { “label”: “Sandra Curtis”, “value”: “32000”, “sValue”: “19” }, { “label”: “Alexis Robinson”, “value”: “19500”, “sValue”: “-4” }, { “label”: “Courtney Stokes”, “value”: “27500”, “sValue”: “10” }, { “label”: “Kelli Miller”, “value”: “34500”, “sValue”: “14” }, { “label”: “Cathy Davis”, “value”: “14500”, “sValue”: “-16” }, { “label”: “Gaynell Mcafee”, “value”: “14000”, “sValue”: “-5” }, { “label”: “Trinidad Iverson”, “value”: “24500”, “sValue”: “5” }, { “label”: “Anjelica Kilpatrick”, “value”: “27000”, “sValue”: “15” }, { “label”: “Cheryle Hearn”, “value”: “17500”, “sValue”: “-10” }, { “label”: “Rosamond Gass”, “value”: “21000”, “sValue”: “5” }, { “label”: “Katharine Perrin”, “value”: “12500”, “sValue”: “-20” }, { “label”: “Heide Matteson”, “value”: “32000”, “sValue”: “20” }, { “label”: “Amparo Fortin”, “value”: “25500”, “sValue”: “10” }, { “label”: “Charlena Bills”, “value”: “19500”, “sValue”: “-2” }, { “label”: “Ronna Irizarry”, “value”: “30000”, “sValue”: “15” }, { “label”: “Fidelia Hummel”, “value”: “28000”, “sValue”: “5” }, { “label”: “Darlena Maher”, “value”: “14500”, “sValue”: “-7” }, { “label”: “Isa Browning”, “value”: “17000”, “sValue”: “-10” }, { “label”: “Dalene Baron”, “value”: “22500”, “sValue”: “10” }, { “label”: “Ghislaine Loy”, “value”: “12000”, “sValue”: “-18” }, { “label”: “Alexander Eldridge”, “value”: “18500”, “sValue”: “-2” }, { “label”: “Brett Clemmons”, “value”: “13000”, “sValue”: “-15” }, { “label”: “Mellie Hackney”, “value”: “13000”, “sValue”: “-18” }, { “label”: “Gerry Felder”, “value”: “35500”, “sValue”: “15” }, { “label”: “Librada Creighton”, “value”: “17500”, “sValue”: “-7” }, { “label”: “Florence Pierce”, “value”: “21000”, “sValue”: “5” }] }, { “label”: “Southern Region”, “value”: “1555000”, “data”: [{ “label”: “Derek Sandoval”, “value”: “12000”, “sValue”: “-15” }, { “label”: “Bertha Bishop”, “value”: “55000”, “sValue”: “10” }, { “label”: “Dominick Price”, “value”: “24500”, “sValue”: “10” }, { “label”: “Sylvia Rodriquez”, “value”: “15000”, “sValue”: “-2” }, { “label”: “Leland Jennings”, “value”: “63000”, “sValue”: “-5” }, { “label”: “Dean Collins”, “value”: “56000”, “sValue”: “3” }, { “label”: “Jamie Cohen”, “value”: “19500”, “sValue”: “4” }, { “label”: “Elias Hammond”, “value”: “29500”, “sValue”: “12” }, { “label”: “Kristy Stone”, “value”: “24500”, “sValue”: “5” }, { “label”: “Jeanette Wood”, “value”: “17500”, “sValue”: “-10” }, { “label”: “Salvador Colon”, “value”: “75000”, “sValue”: “18” }, { “label”: “Victor Ferguson”, “value”: “60000”, “sValue”: “10” }, { “label”: “Marion Hernandez”, “value”: “14500”, “sValue”: “-18” }, { “label”: “Javier Erickson”, “value”: “18000”, “sValue”: “-19” }, { “label”: “Stephanie Matthews”, “value”: “16500”, “sValue”: “5” }, { “label”: “Deanna Russell”, “value”: “25500”, “sValue”: “1” }, { “label”: “Nettie Holt”, “value”: “32500”, “sValue”: “-10” }, { “label”: “Lynne Mack”, “value”: “50000”, “sValue”: “8” }, { “label”: “Carrie Stevens”, “value”: “47000”, “sValue”: “14” }, { “label”: “Janyce Hildebrand”, “value”: “29000”, “sValue”: “-5” }, { “label”: “Emery Underhill”, “value”: “67000”, “sValue”: “20” }, { “label”: “Priscila Coy”, “value”: “72000”, “sValue”: “15” }, { “label”: “Dede Moffett”, “value”: “12500”, “sValue”: “-15” }, { “label”: “Sydney Merchant”, “value”: “65500”, “sValue”: “10” }, { “label”: “Daryl Farrar”, “value”: “65000”, “sValue”: “5” }, { “label”: “Nella Nickerson”, “value”: “27000”, “sValue”: “14” }, { “label”: “Octavia Mccorkle”, “value”: “17500”, “sValue”: “-2” }, { “label”: “Lynsey Boren”, “value”: “22500”, “sValue”: “5” }, { “label”: “Argentina Ireland”, “value”: “15500”, “sValue”: “-8” }, { “label”: “Tonda Ricks”, “value”: “14500”, “sValue”: “-10” }, { “label”: “Shira Laporte”, “value”: “25500”, “sValue”: “-5” }, { “label”: “Reuben Upshaw”, “value”: “12000”, “sValue”: “-15” }, { “label”: “Angelia Mcalister”, “value”: “23500”, “sValue”: “15” }, { “label”: “Ludivina Teel”, “value”: “19000”, “sValue”: “-10” }, { “label”: “Darcel Scarbrough”, “value”: “13000”, “sValue”: “-20” }, { “label”: “Chantelle Carl”, “value”: “14000”, “sValue”: “2” }, { “label”: “Young Chestnut”, “value”: “14500”, “sValue”: “-7” }, { “label”: “Janetta Gilman”, “value”: “17000”, “sValue”: “-8” }, { “label”: “Otto Pfeifer”, “value”: “29500”, “sValue”: “10” }, { “label”: “Queen Trudeau”, “value”: “70000”, “sValue”: “15” }, { “label”: “Candie Vang”, “value”: “17000”, “sValue”: “-12” }, { “label”: “Tia Burgos”, “value”: “21000”, “sValue”: “12” }, { “label”: “Teresita Sprague”, “value”: “46500”, “sValue”: “18” }, { “label”: “Tomoko Shull”, “value”: “17000”, “sValue”: “-4” }, { “label”: “Yahaira Snider”, “value”: “24500”, “sValue”: “8” }, { “label”: “Zina Espinoza”, “value”: “51000”, “sValue”: “5” }, { “label”: “Jamal Crespo”, “value”: “12000”, “sValue”: “-20” }, { “label”: “Ariel Jorgensen”, “value”: “16000”, “sValue”: “5” }, { “label”: “Fredda Tuttle”, “value”: “14000”, “sValue”: “-10” }, { “label”: “Gerardo Carter”, “value”: “34500”, “sValue”: “-16” }] }, { “label”: “Western Region”, “value”: “1830000”, “data”: [{ “label”: “Sadie Wells”, “value”: “30000”, “sValue”: “-10” }, { “label”: “Jacqueline Griffith”, “value”: “45000”, “sValue”: “2” }, { “label”: “Malcolm Lee”, “value”: “55000”, “sValue”: “18” }, { “label”: “Martin Hudson”, “value”: “59000”, “sValue”: “-15” }, { “label”: “Carlos Hart”, “value”: “64000”, “sValue”: “18” }, { “label”: “Alison Luna”, “value”: “35000”, “sValue”: “-20” }, { “label”: “Pablo Paul”, “value”: “72000”, “sValue”: “20” }, { “label”: “Arlene Fox”, “value”: “33000”, “sValue”: “-15” }, { “label”: “Lillian Young”, “value”: “39000”, “sValue”: “-5” }, { “label”: “Annie Ford”, “value”: “66000”, “sValue”: “10” }, { “label”: “Manuel Delgado”, “value”: “46000”, “sValue”: “-5” }, { “label”: “Arthur Pope”, “value”: “28000”, “sValue”: “-15” }, { “label”: “Antonia Marshall”, “value”: “24000”, “sValue”: “-17” }, { “label”: “Glen Alexander”, “value”: “29000”, “sValue”: “15” }, { “label”: “Myrtle Bass”, “value”: “40000”, “sValue”: “10” }, { “label”: “Garry Palmer”, “value”: “27000”, “sValue”: “-18” }, { “label”: “Dianne Blair”, “value”: “35000”, “sValue”: “-1” }, { “label”: “Melba Page”, “value”: “36000”, “sValue”: “5” }, { “label”: “Darla Nelson”, “value”: “60000”, “sValue”: “14” }, { “label”: “Winston Brewer”, “value”: “43000”, “sValue”: “17” }, { “label”: “Drew Osborne”, “value”: “21000”, “sValue”: “-12” }, { “label”: “Jesus Sullivan”, “value”: “46000”, “sValue”: “18” }, { “label”: “Jeremiah Flowers”, “value”: “15000”, “sValue”: “-20” }, { “label”: “Suzanne Richardson”, “value”: “24000”, “sValue”: “-15” }, { “label”: “Nicholas Mathis”, “value”: “71000”, “sValue”: “20” }, { “label”: “Della King”, “value”: “28000”, “sValue”: “-10” }, { “label”: “Beth Boone”, “value”: “40000”, “sValue”: “15” }, { “label”: “Ruben Powell”, “value”: “35000”, “sValue”: “6” }, { “label”: “Marlon Harrington”, “value”: “14000”, “sValue”: “-7” }, { “label”: “Sharice Kang”, “value”: “25000”, “sValue”: “-20” }, { “label”: “Lizette Stout”, “value”: “55000”, “sValue”: “15” }, { “label”: “Jimmy Cho”, “value”: “41000”, “sValue”: “10” }, { “label”: “Weston Alcorn”, “value”: “21000”, “sValue”: “-5” }, { “label”: “Omer Whitfield”, “value”: “18000”, “sValue”: “-10” }, { “label”: “Delora Downs”, “value”: “35000”, “sValue”: “2” }, { “label”: “Rea Booker”, “value”: “22000”, “sValue”: “12” }, { “label”: “Jon Blue”, “value”: “73000”, “sValue”: “20” }, { “label”: “Haley Cameron”, “value”: “17000”, “sValue”: “-15” }, { “label”: “Jani Fortune”, “value”: “23000”, “sValue”: “-15” }, { “label”: “Theressa Talbot”, “value”: “26000”, “sValue”: “8” }, { “label”: “Tashia Crane”, “value”: “38000”, “sValue”: “-2” }, { “label”: “Latonya Grey”, “value”: “19000”, “sValue”: “-20” }, { “label”: “Lyndsey Song”, “value”: “40000”, “sValue”: “15” }, { “label”: “Lan Bean”, “value”: “48000”, “sValue”: “5” }, { “label”: “Ethelene Haas”, “value”: “52000”, “sValue”: “10” }, { “label”: “Lauran Dunaway”, “value”: “29000”, “sValue”: “8” }, { “label”: “Williams Hodge”, “value”: “14000”, “sValue”: “-18” }, { “label”: “Elwanda Archuleta”, “value”: “24000”, “sValue”: “-5” }, { “label”: “Florida Andersen”, “value”: “30000”, “sValue”: “5” }, { “label”: “Scott Perry”, “value”: “20000”, “sValue”: “2” }] }] }], “colorrange”: { “mapbypercent”: “1”, “gradient”: “1”, “minvalue”: “-25”, “code”: “e24b1a”, “startlabel”: “Decline”, “endlabel”: “Rise”, “color”: [{ “code”: “ffffff”, “maxvalue”: “0”, “label”: “Static” }, { “code”: “6da81e”, “maxvalue”: “25”, “label”: “AVERAGE” }] } }}); }); FusionCharts.ready(function () { FusionCharts(“chart1”).render(); }); This treemap chart compares the sales team’s performance in the present year with their performance in the previous year. The employees are categorized region-wise. Drilling down and up the nodes is the mode of traversal through the treemap chart. To drill-down to a leaf node, you can directly click that node. For example, when any rectangle (node) in the Northern Region is clicked, the chart drills down to the following view: Another way to drill down the chart is to click on a parent node to view the complete cluster of nodes belonging to the parent node. There are two methods for you to drill back up. Method 1: Traverse up one level at a time

• Click the parent node to traverse one level up at a time.

OR

• Click the icon below to go one level up.

Method 2: Traverse up directly to the initial stage

• Click the icon below to go directly to the initial stage.

Applications of a Treemap Chart

Common use-cases represented using the treemap chart include showing the folder structure of a system. It is also used to study patterns and occurrences in a large data set. This is because the colour and the size dimensions are correlated. Click here to read more on the treemap chart.

The Zoom Scatter Chart

The FusionCharts Suite XT zoom-scatter chart is a special type of chart that extends the capabilities of the scatter chart to include the zooming and panning features. It can be seen as an extension of the scatter chart with the ability of displaying millions of data points because of the zoom and pan feature. Take a look at the sample zoom scatter chart shown below: FusionCharts.ready(function () { new FusionCharts({“id”:”chart2″,”width”:”100%”,”height”:”400″,”renderAt”:”fc_div2″,”type”:”zoomscatter”,”dataFormat”:”json”,”dataSource”:{ “chart”: { “caption”: “Selectivity and returns of majors”, “subcaption”: “Last 20 years”, “yaxisname”: “Average-annual return(%)”, “xaxisname”: “Admission rate(%)”, “anchorBgColor”: “#FF0000”, “yaxismaxvalue”: “25”, “showzeroplane”: “0”, “yaxisminvalue”: “-15”, “anchorradius”: “2”, “plotTooltext”: “$seriesName, Admission rate % : $xDataValue, Return % : $yDataValue” }, “dataset”: [{ “seriesname”: “Major A”, “anchorBgColor”: “#addef7”, “anchorBordercolor”: “#17a1e8”, “anchorBorderThickness”: “1”, “data”: [{ “y”: 14.42, “x”: 18.88 }, { “y”: 10.54, “x”: 17.29 }, { “y”: 12.51, “x”: 4.72 }, { “y”: 10.89, “x”: 18.94 }, { “y”: 13.21, “x”: 15.05 }, { “y”: 11.43, “x”: 14.84 }, { “y”: 10.21, “x”: 10.38 }, { “y”: 11, “x”: 9.15 }, { “y”: 13.18, “x”: 9.03 }, { “y”: 14.71, “x”: 4.13 }, { “y”: 14.85, “x”: 14.94 }, { “y”: 14.34, “x”: 13.14 }, { “y”: 10.91, “x”: 10.03 }, { “y”: 12.21, “x”: 2.29 }, { “y”: 12.75, “x”: 11.39 }, { “y”: 14.29, “x”: 17.86 }, { “y”: 11.91, “x”: 19.51 }, { “y”: 14.66, “x”: 9.11 }, { “y”: 10.51, “x”: 18.2 }, { “y”: 10.4, “x”: 19.97 }, { “y”: 15.47, “x”: 34.02 }, { “y”: 19.92, “x”: 26.37 }, { “y”: 19.93, “x”: 23.42 }, { “y”: 19.14, “x”: 38.48 }, { “y”: 15.01, “x”: 24.58 }, { “y”: 19.96, “x”: 28.15 }, { “y”: 15.22, “x”: 25.02 }, { “y”: 18.34, “x”: 23 }, { “y”: 17.33, “x”: 38.41 }, { “y”: 19.02, “x”: 34.98 }, { “y”: 16.84, “x”: 20.66 }, { “y”: 19.43, “x”: 34.41 }, { “y”: 18.52, “x”: 31.38 }, { “y”: 18.13, “x”: 34.91 }, { “y”: 16.1, “x”: 34.89 }, { “y”: 17.79, “x”: 25.96 }, { “y”: 16.54, “x”: 31.88 }, { “y”: 19.51, “x”: 21.06 }, { “y”: 17.02, “x”: 24.89 }, { “y”: 18.95, “x”: 34.95 }, { “y”: 15.71, “x”: 38.97 }, { “y”: 18.37, “x”: 22.5 }, { “y”: 17.88, “x”: 23.5 }, { “y”: 18.13, “x”: 33.36 }, { “y”: 15.11, “x”: 36.18 }, { “y”: 17.77, “x”: 26.97 }, { “y”: 18.24, “x”: 39.97 }, { “y”: 17.81, “x”: 37.79 }, { “y”: 16.07, “x”: 21.2 }, { “y”: 18.08, “x”: 31.98 }, { “y”: 11.95, “x”: 20.31 }, { “y”: 13.72, “x”: 23.69 }, { “y”: 13.65, “x”: 20.07 }, { “y”: 10.33, “x”: 30.96 }, { “y”: 12.96, “x”: 30.17 }, { “y”: 11.88, “x”: 24.36 }, { “y”: 13.32, “x”: 21.96 }, { “y”: 12.68, “x”: 35.58 }, { “y”: 10.81, “x”: 36.92 }, { “y”: 11.25, “x”: 22.46 }, { “y”: 11.58, “x”: 39.52 }, { “y”: 10.92, “x”: 36.97 }, { “y”: 12.73, “x”: 28.36 }, { “y”: 12.75, “x”: 36.94 }, { “y”: 11.63, “x”: 28.67 }, { “y”: 13.5, “x”: 20.75 }, { “y”: 12.17, “x”: 33.59 }, { “y”: 11.99, “x”: 37.67 }, { “y”: 13.64, “x”: 32.74 }, { “y”: 14.77, “x”: 22.47 }, { “y”: 13.23, “x”: 33.35 }, { “y”: 10.24, “x”: 29.83 }, { “y”: 10.39, “x”: 35.56 }, { “y”: 11.57, “x”: 27.05 }, { “y”: 12.26, “x”: 23.56 }, { “y”: 11.04, “x”: 25.84 }, { “y”: 11.62, “x”: 35.72 }, { “y”: 12.02, “x”: 20.71 }, { “y”: 10.11, “x”: 24.93 }, { “y”: 11.64, “x”: 37.29 }, { “y”: 11.03, “x”: 22.51 }, { “y”: 10.98, “x”: 38.91 }, { “y”: 12.48, “x”: 37.26 }, { “y”: 11.4, “x”: 36.88 }, { “y”: 14.34, “x”: 21.15 }, { “y”: 14.42, “x”: 38.97 }, { “y”: 12.15, “x”: 30.39 }, { “y”: 13.46, “x”: 36.12 }, { “y”: 12.41, “x”: 31.19 }, { “y”: 13.51, “x”: 30.78 }, { “y”: 14.42, “x”: 22.29 }, { “y”: 14.82, “x”: 30.57 }, { “y”: 11.66, “x”: 35.71 }, { “y”: 12.01, “x”: 22.73 }, { “y”: 12.34, “x”: 35.14 }, { “y”: 14.45, “x”: 22.49 }, { “y”: 13.87, “x”: 35.05 }, { “y”: 10.43, “x”: 37.16 }, { “y”: 13.91, “x”: 29.36 }, { “y”: 10.27, “x”: 39.74 }, { “y”: 9.79, “x”: 37.76 }, { “y”: 6.13, “x”: 23.31 }, { “y”: 9.69, “x”: 39.87 }, { “y”: 8.74, “x”: 38.88 }, { “y”: 6.34, “x”: 31.3 }, { “y”: 6.01, “x”: 22.06 }, { “y”: 7.49, “x”: 36.19 }, { “y”: 8.21, “x”: 26.68 }, { “y”: 7.98, “x”: 35.62 }, { “y”: 6.79, “x”: 36.18 }, { “y”: 5.65, “x”: 30.38 }, { “y”: 8.57, “x”: 39.68 }, { “y”: 8.97, “x”: 30.4 }, { “y”: 9.79, “x”: 34.67 }, { “y”: 5.61, “x”: 23.04 }, { “y”: 8.03, “x”: 29.02 }, { “y”: 6.76, “x”: 22.11 }, { “y”: 5.73, “x”: 37.63 }, { “y”: 7.97, “x”: 35.07 }, { “y”: 6.43, “x”: 27.44 }, { “y”: 6.52, “x”: 25.09 }, { “y”: 9.18, “x”: 24.47 }, { “y”: 5.58, “x”: 23.18 }, { “y”: 8.37, “x”: 28.06 }, { “y”: 5.63, “x”: 21.78 }, { “y”: 7.74, “x”: 30.88 }, { “y”: 8.01, “x”: 34.91 }, { “y”: 7.67, “x”: 29.85 }, { “y”: 9.89, “x”: 29.04 }, { “y”: 5.64, “x”: 29.88 }, { “y”: 0.11, “x”: 29.4 }, { “y”: 3.67, “x”: 22.94 }, { “y”: 4.06, “x”: 20.52 }, { “y”: 2.28, “x”: 37.78 }, { “y”: 0.63, “x”: 30.68 }, { “y”: 3.15, “x”: 24.89 }, { “y”: 4.44, “x”: 35.65 }, { “y”: 2.84, “x”: 29.96 }, { “y”: 1.48, “x”: 38.5 }, { “y”: 1.35, “x”: 20.72 }, { “y”: 4.59, “x”: 25.56 }, { “y”: 3.82, “x”: 24.88 }, { “y”: 3.17, “x”: 30.16 }, { “y”: 0.66, “x”: 28.51 }, { “y”: 1.97, “x”: 23.14 }, { “y”: 4.72, “x”: 23.58 }, { “y”: 2.43, “x”: 21.28 }, { “y”: 4.72, “x”: 39.2 }, { “y”: 2.95, “x”: 22.36 }, { “y”: 4.94, “x”: 30.32 }, { “y”: 16.26, “x”: 54.4 }, { “y”: 16.45, “x”: 53.58 }, { “y”: 19.22, “x”: 57.06 }, { “y”: 17.62, “x”: 58.95 }, { “y”: 16.98, “x”: 46.33 }, { “y”: 19.05, “x”: 40.03 }, { “y”: 16.84, “x”: 43.06 }, { “y”: 19.29, “x”: 52.02 }, { “y”: 18.37, “x”: 55.36 }, { “y”: 15.49, “x”: 43.6 }, { “y”: 18.14, “x”: 55.07 }, { “y”: 18.82, “x”: 41.81 }, { “y”: 19.63, “x”: 51.44 }, { “y”: 15.48, “x”: 44.99 }, { “y”: 19.36, “x”: 40.54 }, { “y”: 19.95, “x”: 55.44 }, { “y”: 17.36, “x”: 46.14 }, { “y”: 17.97, “x”: 56.57 }, { “y”: 16.68, “x”: 44.38 }, { “y”: 17.14, “x”: 48.7 }, { “y”: 16.29, “x”: 52.58 }, { “y”: 17.61, “x”: 40.02 }, { “y”: 15.23, “x”: 47.43 }, { “y”: 16.3, “x”: 53.05 }, { “y”: 15.24, “x”: 47.56 }, { “y”: 18.12, “x”: 49.14 }, { “y”: 15.08, “x”: 45.45 }, { “y”: 17.61, “x”: 59.5 }, { “y”: 16.27, “x”: 54.04 }, { “y”: 18.37, “x”: 46.09 }, { “y”: 18.94, “x”: 50.08 }, { “y”: 16.83, “x”: 52.08 }, { “y”: 17.07, “x”: 54.42 }, { “y”: 17.38, “x”: 45.58 }, { “y”: 17.47, “x”: 54.94 }, { “y”: 18.23, “x”: 53.97 }, { “y”: 17.26, “x”: 53.11 }, { “y”: 15.19, “x”: 58.69 }, { “y”: 16.64, “x”: 50.81 }, { “y”: 18.99, “x”: 46.92 }, { “y”: 15.64, “x”: 49.58 }, { “y”: 16.14, “x”: 48.94 }, { “y”: 18.66, “x”: 49.27 }, { “y”: 16.77, “x”: 56.75 }, { “y”: 18.4, “x”: 56.8 }, { “y”: 17.74, “x”: 40.22 }, { “y”: 15.06, “x”: 58.65 }, { “y”: 15.94, “x”: 53.13 }, { “y”: 16.13, “x”: 54.33 }, { “y”: 19.9, “x”: 54.3 }, { “y”: 17.33, “x”: 41.32 }, { “y”: 16.65, “x”: 45.81 }, { “y”: 19.09, “x”: 41.78 }, { “y”: 17.92, “x”: 52.37 }, { “y”: 19.09, “x”: 57.74 }, { “y”: 18.69, “x”: 55.27 }, { “y”: 16.97, “x”: 43.86 }, { “y”: 15.88, “x”: 53.97 }, { “y”: 16.36, “x”: 57.62 }, { “y”: 19.35, “x”: 45.45 }, { “y”: 18.75, “x”: 59.37 }, { “y”: 16.27, “x”: 45.98 }, { “y”: 17.37, “x”: 58.69 }, { “y”: 18.45, “x”: 48.28 }, { “y”: 16.1, “x”: 42.13 }, { “y”: 19.11, “x”: 55.91 }, { “y”: 16.71, “x”: 47.54 }, { “y”: 15.99, “x”: 58.46 }, { “y”: 17.7, “x”: 53.77 }, { “y”: 17.88, “x”: 53.27 }, { “y”: 16.24, “x”: 42.08 }, { “y”: 17.91, “x”: 45.63 }, { “y”: 15.42, “x”: 50.54 }, { “y”: 15.73, “x”: 57.8 }, { “y”: 15.66, “x”: 40.32 }, { “y”: 15.33, “x”: 49.86 }, { “y”: 18.91, “x”: 41.39 }, { “y”: 16.28, “x”: 40.79 }, { “y”: 19.75, “x”: 59.83 }, { “y”: 18.78, “x”: 48.94 }, { “y”: 17.15, “x”: 55.8 }, { “y”: 17.75, “x”: 56.24 }, { “y”: 15.22, “x”: 48.48 }, { “y”: 19.32, “x”: 46.1 }, { “y”: 18.42, “x”: 43.55 }, { “y”: 15.36, “x”: 47.16 }, { “y”: 15.96, “x”: 53.96 }, { “y”: 17.16, “x”: 41.93 }, { “y”: 16.37, “x”: 40.79 }, { “y”: 16.83, “x”: 51.82 }, { “y”: 18.12, “x”: 49.31 }, { “y”: 15.64, “x”: 51.28 }, { “y”: 17.93, “x”: 47.86 }, { “y”: 17.74, “x”: 57.36 }, { “y”: 16.52, “x”: 58.6 }, { “y”: 15.53, “x”: 59.97 }, { “y”: 19.07, “x”: 59.4 }, { “y”: 19.76, “x”: 40.86 }, { “y”: 16.86, “x”: 43.94 }, { “y”: 16.45, “x”: 43.49 }, { “y”: 12.86, “x”: 58.81 }, { “y”: 12.42, “x”: 51.23 }, { “y”: 13.13, “x”: 52.09 }, { “y”: 13.66, “x”: 49.87 }, { “y”: 14.89, “x”: 47.7 }, { “y”: 10.03, “x”: 42.21 }, { “y”: 10.96, “x”: 49.49 }, { “y”: 12.05, “x”: 41.43 }, { “y”: 14.29, “x”: 46.67 }, { “y”: 10.36, “x”: 47.16 }, { “y”: 12.02, “x”: 58.95 }, { “y”: 14.79, “x”: 44.61 }, { “y”: 14.76, “x”: 58.26 }, { “y”: 11.79, “x”: 47.82 }, { “y”: 14.44, “x”: 40 }, { “y”: 14.79, “x”: 49.62 }, { “y”: 14.81, “x”: 41.42 }, { “y”: 14.72, “x”: 45.37 }, { “y”: 10.13, “x”: 54.7 }, { “y”: 10.01, “x”: 55.85 }, { “y”: 11.94, “x”: 42.61 }, { “y”: 10.22, “x”: 53.64 }, { “y”: 11.04, “x”: 53.49 }, { “y”: 12.29, “x”: 41.12 }, { “y”: 13.99, “x”: 52.53 }, { “y”: 13.74, “x”: 44.77 }, { “y”: 13.07, “x”: 46.94 }, { “y”: 10.72, “x”: 45.11 }, { “y”: 13.09, “x”: 44.33 }, { “y”: 12.75, “x”: 51.42 }, { “y”: 11.31, “x”: 44.83 }, { “y”: 13.78, “x”: 49.08 }, { “y”: 11.76, “x”: 56.22 }, { “y”: 13.72, “x”: 57.87 }, { “y”: 13.85, “x”: 43.23 }, { “y”: 14.65, “x”: 57.44 }, { “y”: 10.57, “x”: 47.66 }, { “y”: 12.72, “x”: 59.97 }, { “y”: 10.1, “x”: 43.92 }, { “y”: 12.98, “x”: 50.72 }, { “y”: 12.06, “x”: 51.12 }, { “y”: 10.42, “x”: 58.97 }, { “y”: 11.97, “x”: 42.83 }, { “y”: 13.8, “x”: 52.56 }, { “y”: 11.09, “x”: 41.49 }, { “y”: 14.88, “x”: 48.27 }, { “y”: 14.64, “x”: 44.18 }, { “y”: 10.67, “x”: 47.11 }, { “y”: 11.37, “x”: 45.97 }, { “y”: 10.26, “x”: 51.92 }, { “y”: 13.47, “x”: 44.9 }, { “y”: 14.17, “x”: 46.25 }, { “y”: 10.49, “x”: 53.15 }, { “y”: 12.69, “x”: 46.96 }, { “y”: 14.8, “x”: 41.01 }, { “y”: 11.07, “x”: 45.09 }, { “y”: 12.96, “x”: 41.53 }, { “y”: 11, “x”: 48.33 }, { “y”: 13.77, “x”: 59.91 }, { “y”: 11.68, “x”: 43.68 }, { “y”: 13.1, “x”: 56.6 }, { “y”: 13.58, “x”: 43.22 }, { “y”: 11.81, “x”: 47.65 }, { “y”: 10.43, “x”: 47.32 }, { “y”: 11.77, “x”: 58.78 }, { “y”: 14.39, “x”: 42.61 }, { “y”: 13.98, “x”: 43.5 }, { “y”: 10.28, “x”: 45.95 }, { “y”: 14.96, “x”: 40.58 }, { “y”: 14.99, “x”: 47.1 }, { “y”: 8.13, “x”: 44.33 }, { “y”: 9.84, “x”: 56.39 }, { “y”: 6.49, “x”: 42.65 }, { “y”: 7.66, “x”: 51.48 }, { “y”: 7.2, “x”: 41.28 }, { “y”: 7.83, “x”: 41.56 }, { “y”: 7.12, “x”: 47.14 }, { “y”: 5.46, “x”: 58.24 }, { “y”: 5.61, “x”: 40.26 }, { “y”: 5.47, “x”: 43.79 }, { “y”: 6.76, “x”: 53.71 }, { “y”: 7.82, “x”: 40.87 }, { “y”: 7.36, “x”: 50.69 }, { “y”: 6.17, “x”: 48.99 }, { “y”: 6.02, “x”: 40.09 }, { “y”: 6.29, “x”: 49.48 }, { “y”: 8.21, “x”: 54.7 }, { “y”: 9.07, “x”: 48.42 }, { “y”: 6.67, “x”: 44.72 }, { “y”: 9.49, “x”: 48.47 }, { “y”: 9.97, “x”: 42.86 }, { “y”: 5.78, “x”: 55.99 }, { “y”: 8.78, “x”: 56.43 }, { “y”: 7.51, “x”: 40.36 }, { “y”: 5.82, “x”: 59.28 }, { “y”: 6.79, “x”: 45.59 }, { “y”: 8.65, “x”: 56.65 }, { “y”: 6.63, “x”: 45.82 }, { “y”: 8.38, “x”: 43.06 }, { “y”: 7.08, “x”: 59 }, { “y”: 7.94, “x”: 56.04 }, { “y”: 6.15, “x”: 53.05 }, { “y”: 5.33, “x”: 56.16 }, { “y”: 7.04, “x”: 55.85 }, { “y”: 6.45, “x”: 56.15 }, { “y”: 8.4, “x”: 53.92 }, { “y”: 5.59, “x”: 42.69 }, { “y”: 9.67, “x”: 45.95 }, { “y”: 6.52, “x”: 47.42 }, { “y”: 6.82, “x”: 45.66 }, { “y”: 9.76, “x”: 46.13 }, { “y”: 7.24, “x”: 54.09 }, { “y”: 7.34, “x”: 41.62 }, { “y”: 9.88, “x”: 51.59 }, { “y”: 9.02, “x”: 40.87 }, { “y”: 7.92, “x”: 46.91 }, { “y”: 7.36, “x”: 59.07 }, { “y”: 6.07, “x”: 50.58 }, { “y”: 5.11, “x”: 58.03 }, { “y”: 7.96, “x”: 56.33 }, { “y”: 6.98, “x”: 48.8 }, { “y”: 9.51, “x”: 55.09 }, { “y”: 9.07, “x”: 50.73 }, { “y”: 7.88, “x”: 48.25 }, { “y”: 5.73, “x”: 55.86 }, { “y”: 8.35, “x”: 56.13 }, { “y”: 7.73, “x”: 44.55 }, { “y”: 5.34, “x”: 57.59 }, { “y”: 9.19, “x”: 55.78 }, { “y”: 9.63, “x”: 47.63 }, { “y”: 9.64, “x”: 57.55 }, { “y”: 9.74, “x”: 52.02 }, { “y”: 6.54, “x”: 55.07 }, { “y”: 9.96, “x”: 57.72 }, { “y”: 5.22, “x”: 42.66 }, { “y”: 6.15, “x”: 49.25 }, { “y”: 5.16, “x”: 56.23 }, { “y”: 5.92, “x”: 58.4 }, { “y”: 9.62, “x”: 54.76 }, { “y”: 6.36, “x”: 46.13 }, { “y”: 8.67, “x”: 57.05 }, { “y”: 9.74, “x”: 58.5 }, { “y”: 5.54, “x”: 52.81 }, { “y”: 9.59, “x”: 41 }, { “y”: 8.2, “x”: 51.33 }, { “y”: 6.84, “x”: 42.54 }, { “y”: 7.85, “x”: 53.22 }, { “y”: 6.42, “x”: 56.84 }, { “y”: 9.51, “x”: 42.56 }, { “y”: 7.74, “x”: 56.08 }, { “y”: 6.7, “x”: 55.99 }, { “y”: 6.53, “x”: 58.55 }, { “y”: 6.43, “x”: 59.49 }, { “y”: 7.56, “x”: 50.92 }, { “y”: 5.72, “x”: 54.6 }, { “y”: 5.11, “x”: 43.54 }, { “y”: 8.28, “x”: 40.17 }, { “y”: 6.71, “x”: 40.47 }, { “y”: 9.91, “x”: 52.46 }, { “y”: 7.33, “x”: 50.53 }, { “y”: 7.67, “x”: 57.77 }, { “y”: 5.85, “x”: 40.9 }, { “y”: 6.01, “x”: 41.83 }, { “y”: 5.26, “x”: 54.41 }, { “y”: 5.64, “x”: 49.24 }, { “y”: 7.77, “x”: 52.11 }, { “y”: 9.84, “x”: 40.06 }, { “y”: 5.26, “x”: 44.43 }, { “y”: 9.39, “x”: 44.9 }, { “y”: 9.76, “x”: 43.22 }, { “y”: 8.98, “x”: 41.16 }, { “y”: 6.99, “x”: 51.67 }, { “y”: 7.54, “x”: 47.59 }, { “y”: 5.47, “x”: 48.03 }, { “y”: 7.02, “x”: 49.69 }, { “y”: 5.76, “x”: 59.72 }, { “y”: 7.23, “x”: 42.39 }, { “y”: 8.93, “x”: 49.77 }, { “y”: 6.4, “x”: 55.74 }, { “y”: 6.31, “x”: 41.97 }, { “y”: 7.19, “x”: 51.18 }, { “y”: 5.64, “x”: 57.02 }, { “y”: 8.3, “x”: 43.29 }, { “y”: 6.67, “x”: 55.46 }, { “y”: 9.31, “x”: 52.64 }, { “y”: 9.85, “x”: 41.61 }, { “y”: 6.97, “x”: 54.62 }, { “y”: 7.57, “x”: 55.26 }, { “y”: 8.59, “x”: 45.95 }, { “y”: 6.44, “x”: 49.33 }, { “y”: 9.71, “x”: 41.5 }, { “y”: 6.59, “x”: 51.73 }, { “y”: 5.91, “x”: 57.81 }, { “y”: 9.13, “x”: 57.54 }, { “y”: 6.43, “x”: 59.76 }, { “y”: 8.66, “x”: 44.24 }, { “y”: 5.54, 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0.27, “x”: 63.58 }, { “y”: -4.84, “x”: 79.63 }, { “y”: -2.97, “x”: 78.38 }, { “y”: -1.2, “x”: 60.76 }, { “y”: -1.15, “x”: 74.34 }, { “y”: -4.33, “x”: 72.28 }, { “y”: -2.43, “x”: 67.95 }, { “y”: -0.25, “x”: 72.76 }, { “y”: -0.86, “x”: 71.91 }, { “y”: -3.68, “x”: 64.14 }, { “y”: -1.38, “x”: 61.5 }, { “y”: -9.16, “x”: 71.38 }, { “y”: -6.41, “x”: 66.73 }, { “y”: -5.34, “x”: 77.22 }, { “y”: -6.07, “x”: 72.54 }, { “y”: -8.27, “x”: 73.78 }, { “y”: -5.41, “x”: 69.28 }, { “y”: -9.53, “x”: 74.98 }, { “y”: -5.55, “x”: 64.5 }, { “y”: -7.93, “x”: 70.24 }, { “y”: -6.87, “x”: 63.67 }] }], “trendlines”: [{ “line”: [{ “startvalue”: “0”, “linethickness”: “3”, “color”: “FF0000” }] }] }}); }); FusionCharts.ready(function () { FusionCharts(“chart2”).render(); }); The chart compares the admission rate (in percent) with the average annual return on degree (in percent) for five majors and over a period of 20 years. Drag the mouse-pointer over the chart to select and zoom into a subset of data points. You can also pan through the data points to analyze the chart data in detail. The  zoom-scatter chart is primarily used to find correlations between datasets, which can be determined by the visual patterns of the data.  The chart supports regression lines that allow the user to find correlation in large datasets. Higher the number of data points, higher are the chances of more accurate correlations. The zoom-scatter chart is capable of handling more than a million data points in modern canvas supported browsers (including IE9+). Click here to read more on the zoom scatter chart.

The Zoom-line Dual Y-Axis Chart

The zoom-line dual y-axis charts extends the capabilities of the zoom-line chart by introducing support for a secondary y-axis. This chart can, therefore, be used to plot datasets that have different numeric units or different intervals—a clear advantage over using the single y-axis zoom-line chart. Take a look at the sample zoom-line dual y-axis chart shown below: FusionCharts.ready(function () { new FusionCharts({“id”:”chart3″,”width”:”100%”,”height”:”400″,”renderAt”:”fc_div3″,”type”:”zoomlinedy”,”dataFormat”:”json”,”dataSource”:{ “chart”: { “caption”: “Harry’s Supermart – Sales Analysis”, “subcaption”: “Previous calendar year”, “pYAxisName”: “Unique footfall”, “sYAxisName”: “Sales”, “compactDataMode”: “1”, “pixelsPerPoint”: “0”, “lineThickness”: “1”, “dataSeparator”: “|”, “snumberPrefix”: “$”, “pYAxisMaxValue”: “1500”, “pYAxisMinValue”: “900”, “sYAxisMaxValue”: “23000”, “sYAxisMinValue”: “15000”, “theme”: “zune” }, “categories”: [{ “fontColor”: “#ff0000”, “category”: “Jan 01|Jan 02|Jan 03|Jan 04|Jan 05|Jan 06|Jan 07|Jan 08|Jan 09|Jan 10|Jan 11|Jan 12|Jan 13|Jan 14|Jan 15|Jan 16|Jan 17|Jan 18|Jan 19|Jan 20|Jan 21|Jan 22|Jan 23|Jan 24|Jan 25|Jan 26|Jan 27|Jan 28|Jan 29|Jan 30|Jan 31|Feb 01|Feb 02|Feb 03|Feb 04|Feb 05|Feb 06|Feb 07|Feb 08|Feb 09|Feb 10|Feb 11|Feb 12|Feb 13|Feb 14|Feb 15|Feb 16|Feb 17|Feb 18|Feb 19|Feb 20|Feb 21|Feb 22|Feb 23|Feb 24|Feb 25|Feb 26|Feb 27|Feb 28|Mar 01|Mar 02|Mar 03|Mar 04|Mar 05|Mar 06|Mar 07|Mar 08|Mar 09|Mar 10|Mar 11|Mar 12|Mar 13|Mar 14|Mar 15|Mar 16|Mar 17|Mar 18|Mar 19|Mar 20|Mar 21|Mar 22|Mar 23|Mar 24|Mar 25|Mar 26|Mar 27|Mar 28|Mar 29|Mar 30|Mar 31|Apr 01|Apr 02|Apr 03|Apr 04|Apr 05|Apr 06|Apr 07|Apr 08|Apr 09|Apr 10|Apr 11|Apr 12|Apr 13|Apr 14|Apr 15|Apr 16|Apr 17|Apr 18|Apr 19|Apr 20|Apr 21|Apr 22|Apr 23|Apr 24|Apr 25|Apr 26|Apr 27|Apr 28|Apr 29|Apr 30|May 01|May 02|May 03|May 04|May 05|May 06|May 07|May 08|May 09|May 10|May 11|May 12|May 13|May 14|May 15|May 16|May 17|May 18|May 19|May 20|May 21|May 22|May 23|May 24|May 25|May 26|May 27|May 28|May 29|May 30|May 31|Jun 01|Jun 02|Jun 03|Jun 04|Jun 05|Jun 06|Jun 07|Jun 08|Jun 09|Jun 10|Jun 11|Jun 12|Jun 13|Jun 14|Jun 15|Jun 16|Jun 17|Jun 18|Jun 19|Jun 20|Jun 21|Jun 22|Jun 23|Jun 24|Jun 25|Jun 26|Jun 27|Jun 28|Jun 29|Jun 30|Jul 01|Jul 02|Jul 03|Jul 04|Jul 05|Jul 06|Jul 07|Jul 08|Jul 09|Jul 10|Jul 11|Jul 12|Jul 13|Jul 14|Jul 15|Jul 16|Jul 17|Jul 18|Jul 19|Jul 20|Jul 21|Jul 22|Jul 23|Jul 24|Jul 25|Jul 26|Jul 27|Jul 28|Jul 29|Jul 30|Jul 31|Aug 01|Aug 02|Aug 03|Aug 04|Aug 05|Aug 06|Aug 07|Aug 08|Aug 09|Aug 10|Aug 11|Aug 12|Aug 13|Aug 14|Aug 15|Aug 16|Aug 17|Aug 18|Aug 19|Aug 20|Aug 21|Aug 22|Aug 23|Aug 24|Aug 25|Aug 26|Aug 27|Aug 28|Aug 29|Aug 30|Aug 31|Sep 01|Sep 02|Sep 03|Sep 04|Sep 05|Sep 06|Sep 07|Sep 08|Sep 09|Sep 10|Sep 11|Sep 12|Sep 13|Sep 14|Sep 15|Sep 16|Sep 17|Sep 18|Sep 19|Sep 20|Sep 21|Sep 22|Sep 23|Sep 24|Sep 25|Sep 26|Sep 27|Sep 28|Sep 29|Sep 30|Oct 01|Oct 02|Oct 03|Oct 04|Oct 05|Oct 06|Oct 07|Oct 08|Oct 09|Oct 10|Oct 11|Oct 12|Oct 13|Oct 14|Oct 15|Oct 16|Oct 17|Oct 18|Oct 19|Oct 20|Oct 21|Oct 22|Oct 23|Oct 24|Oct 25|Oct 26|Oct 27|Oct 28|Oct 29|Oct 30|Oct 31|Nov 01|Nov 02|Nov 03|Nov 04|Nov 05|Nov 06|Nov 07|Nov 08|Nov 09|Nov 10|Nov 11|Nov 12|Nov 13|Nov 14|Nov 15|Nov 16|Nov 17|Nov 18|Nov 19|Nov 20|Nov 21|Nov 22|Nov 23|Nov 24|Nov 25|Nov 26|Nov 27|Nov 28|Nov 29|Nov 30|Dec 01|Dec 02|Dec 03|Dec 04|Dec 05|Dec 06|Dec 07|Dec 08|Dec 09|Dec 10|Dec 11|Dec 12|Dec 13|Dec 14|Dec 15|Dec 16|Dec 17|Dec 18|Dec 19|Dec 20|Dec 21|Dec 22|Dec 23|Dec 24|Dec 25|Dec 26|Dec 27|Dec 28|Dec 29|Dec 30|Dec 31” }], “dataset”: [{ “seriesname”: “Unique footfall”, “color”: “0075c2”, “data”: “1140|1160|1167|1145|1140|1132|1127|1137|1172|1181|1142|1134|1117|1147|1141|1149|1150|1113|1119|1110|1092|1102|1128|1131|1083|1081|1087|1088|1092|1109|1112|1065|1063|1057|1045|1043|1078|1083|1043|1039|1036|1031|1048|1056|1074|1045|1037|1034|1039|1031|1045|1048|1031|1019|1026|1017|1011|1022|1027|1022|1017|1019|1010|1015|1023|1029|1020|1009|1012|1008|1015|1027|1033|1008|1007|1009|1010|1013|1017|1024|1012|1009|1007|1009|1011|1015|1020|1004|1009|1011|1028|1037|1049|1057|1045|1047|1056|1068|1077|1089|1100|1090|1086|1094|1098|1101|1125|1131|1111|1102|1109|1099|1094|1112|1121|1102|1094|1087|1089|1097|1139|1148|1131|1127|1129|1122|1137|1158|1174|1145|1143|1137|1139|1147|1156|1162|1134|1127|1130|1123|1117|1137|1138|1117|1109|1107|1100|1107|1120|1122|1120|1112|1100|1094|1090|1100|1102|1052|1054|1044|1047|1063|1077|1080|1050|1047|1030|1022|1021|1022|1025|1015|1009|1010|1007|1002|1010|1020|1000|994|990|987|990|1001|999|982|977|967|966|974|990|987|974|977|969|962|967|972|977|961|957|959|960|958|967|970|959|954|962|961|957|980|987|977|976|979|982|983|1000|1009|994|999|1002|1009|1015|1024|1029|1020|1011|1009|1015|1010|1025|1031|1019|1018|1022|1014|1018|1022|1025|1010|1022|1017|1019|1010|1015|1023|1029|1020|1009|1012|1008|1015|1027|1033|1008|1007|1009|1010|1013|1017|1024|1012|1009|1007|1009|1011|1015|1020|1004|1009|1045|1043|1078|1083|1043|1039|1036|1031|1048|1056|1074|1045|1037|1034|1039|1031|1045|1048|1031|1019|1026|1017|1011|1022|1027|1022|1020|1023|1024|1025|1040|1057|1035|1033|1037|1047|1049|1068|1074|1052|1059|1064|1060|1064|1080|1089|1080|1081|1079|1086|1084|1090|1099|1090|1091|1088|1084|1082|1089|1100|1094|1127|1129|1122|1137|1158|1174|1145|1143|1137|1139|1147|1156|1162|1134|1127|1130|1123|1117|1137|1138|1117|1109|1107|1100|1107|1137|1140|1120|1127|1130|1131” }, { “seriesname”: “Sales”, “color”: “1aaf5d”, “parentYAxis”: “S”, “data”: “21270|21290|21220|21370|21580|21740|21450|21430|21370|21390|21470|21560|21620|21340|21270|21300|21230|21170|21370|21380|22170|21090|21070|21000|21070|21370|21400|21200|21270|21300|21310|21400|21600|21670|21450|21400|21320|21270|21370|21720|21810|21420|21340|21170|21470|21410|21490|21500|21130|21190|21100|20920|21020|21280|21310|20830|20810|20870|20880|20450|20430|20780|20830|20430|20390|20360|20310|20480|20560|20740|20450|20370|20340|20390|20310|20450|20480|20310|20190|20260|20170|20110|20220|20270|20220|20200|20230|20240|20250|20400|20720|20670|20690|20600|20650|20730|20790|20700|20590|20620|20580|20650|20770|20830|20580|20570|20590|20600|20630|20670|20740|20620|20590|20570|20590|20610|20650|20700|20540|20590|21150|20530|21070|20950|20930|20980|21330|20930|20890|20860|20810|20790|21060|21240|20950|20870|20840|20890|20810|20950|20980|20810|20690|20760|20670|20610|20720|20770|20700|20720|20800|20400|20370|20400|20510|20490|20320|20270|20170|20160|20240|19900|19870|19740|19770|19690|19620|19670|19720|19770|19610|19570|19590|19600|19580|19670|19700|19590|19540|19620|19610|19570|19800|19870|19770|19760|19790|19820|19830|20000|20090|19940|19990|20020|20090|20150|20240|20290|20200|20110|20090|20150|20100|20250|20310|20190|20180|20220|20140|20180|20220|20250|20100|21120|21000|20940|20900|21000|21020|20520|20540|20440|20470|20630|20770|20800|20500|20470|20300|20220|20210|20220|20250|20150|20090|20100|20070|20020|20100|20200|20000|19940|20220|20170|20190|20100|20150|20230|20290|20200|20090|20120|20080|20150|20270|20330|20080|20070|20090|20100|20130|20170|20240|20120|20090|20070|20090|20110|20150|20200|20040|20090|20110|20280|20370|20490|20570|20450|20470|20560|20680|20770|20890|21000|20900|20860|20940|20980|21010|21250|21310|21110|21020|21090|20990|20940|21120|21210|21020|20940|20870|20890|20970|20570|20350|20330|20370|20470|20490|20680|20740|20520|20590|20640|20600|20640|20800|20890|20800|20810|20790|20860|20840|20900|20990|20900|20910|20880|20840|20820|20890|21000|20940|21390|21480|21310|21270|21290|21220|21370|21580|21740|21450|21430|21370|21390|21470|21560|21620|21340|21270|21300|21230|21170|21370|21380|21170|21090|21070|21000|21070|21200|21220|21200” }] }}); }); FusionCharts.ready(function () { FusionCharts(“chart3”).render(); }); This zoom-line chart is used to compare the unique footfall with the sales (in dollars) for each day of the previous year. The zoom-line dual y-axis is similar to the zoom-line chart in every aspect, except for its support of the secondary y-axis. Click here to read more about the zoom-line dual y-axis chart. Interesting, are they not? And if you thought that was it, then no. We’ve got a lot more added and improved in the product to make sure that you have the best data visualization experience ever! Click here to read about all that v3.10.0 brings to you.