A quick introduction to Pivot Table.

A quick introduction to Summarize Table.

A quick introduction to Table.

You can quickly create various types of bar charts in a simple way!

Line charts are great especially for visualizing time series data. Here's how you can quickly create them with various options!

A quick introduction to Area chart.

A quick introductio to Pie / Ring chart.

A quick introduction to Histogram.

A quick introduciton to Density Plot.

A quick introduciton to Scatter Chart (No Aggregation).

A quick introduciton to Scatter Chart (With Aggregation).

Boxplot chart is very helpful when it comes to understanding the distribution of your data or even better, compare how the distribution differs among various groups.

A quick introduciton to Violin plot.

You can use Error Bar chart to show confidence intervals for Mean (Average) values and for Ratio values.

A quick introduction to Heatmap!

Here's how you can use Radar Chart.

A quick introduciton to Standard Map type

A quick introduction to Longitude / Latitude Map type.

You can extend Map with your GeoJSON files.

A quick introduction to Number.

A quick introduction to Word Cloud.

The most important feature of Chart is 'Pin'. You can pin the chart to a particular step so that it will always source the chart data from the pinned step even when new Data Wrangling steps are added.

You can learn how you can use Window Calculation feature to visualize '% of Total' with Bar chart in this Note.

You can learn how to create a chart to show cumulative sum (running total).

Here's how to create a chart to show moving average.

Here's how to create a chart to show the growth compared to the same month in the last year or quarter.

Here's how you can create a chart to show the % of Difference from First Value with 'Window Calculation' feature.

Here's how you can draw reference lines on chart.

Here's how you can draw various types of trendlines on chart.

You can flexibly assign colors to particular groups in charts, here's how.

You can highlight particular values with specified colors.

You can create a condition to set colors. Here's how.

Here's how you can categorize numerical values by dividing into multiple groups.

You can create your own color palette, here's how.

You can add comments to your charts, here's how.

You can convert numeric values such as Age, Income, Sales, etc. into a set of groups with an 'Equal Step' option, which will create a group for an every given number such as 'every 10'.

You can separate a chart to multiple charts and show each measure in its own chart with Repeat By.

You can limit the values to be shown for X-Axis/Color.

You can switch the marker to be bar, line, or circle.

You can change the order of X-Axis and/or Y-Axis.

You can summarize data conditionally, which means you can create your own conditions for the data to be summarized.

You can assign the columns to either Y1 or Y2 axis.

You can use different markers for different measures in the same chart.

You can add visual cues by using color and bar for Pivot / Summarize Tables.

You can learn on how you can install your GeoJSON files and start visualizing data with your own Map.

In this seminar, you can learn how you can choose the right chart types and demonstrate how to visualize summarized (aggregated) data effectively.

In this seminar, you can learn how you can visualize Time Series data effectively with Exploratory.

In this seminar, you can learn how to visualize variance in data and correlation between variables with various chart types in Exploratory.

In this seminar, we introduce concepts like 'Uncertainty' and 'Confidence Interval' and show you how you can visualize them effectively with Error Bar in Exploratory.

Once you get your data, more often than not, you need to clean and transform the data before even visualizing it to make any sense. We call this task Data Wrangling. We'll introduce several techniques on how to prepare data for effective visualizations.