Developing Data Products

8 slides

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• Create a web page presentation using R Markdown that features a plot created with Plotly.

• Host your webpage on either GitHub Pages, RPubs, or NeoCities.

• Your webpage must contain the date that you created the document, and it must contain a plot created with Plotly.

• We would love to see you show off your creativity!

• allows users to explore business flows and processes from event logs with an easy-to-use, point-and-click user interface.

• identifies related events and groups them into ordered sequences called Journeys

• Built by Splunk Inc

• Has Separate license

• Event Logs: Consider the event log to be a timeline of events generated from a process or system. Each event contains a timestamp, a step, and a Correlation ID

• Journey: Splunk Business Flow uses Correlation IDs to identify related events in the event log and group them into Journeys

• Flowchart: groups a collection of Journeys into a single, ordered sequence of steps

• Flow: a saved view of the analyses and filter settings you applied to the Flow Model in the Explorer

• Data preparation:

  Occur at Splunk Enterprise or Splunk Cloud

  you upload or forward raw data into your Splunk deployment

• Data exploration:

  Occur at Splunk Business Flow

  you create a Flow Model

library(readxl)
plot <- read_excel("C:/Users/be174.BARQSYSTEMS/1.xlsx") 
head(plot, 16)

# A tibble: 14 x 5
   name   distance long_jumb shot_put high_jumb
   <chr>     <dbl>     <dbl>    <dbl>     <dbl>
 1 Ahmed      11.0      7.58     14.8      2.07
 2 Samir      10.8      7.4      14.3      1.86
 3 Wesam      11.0      7.3      14.8      2.04
 4 Zaki       11.0      7.23     14.2      1.92
 5 Khalil     11.3      7.09     13.5      2.1 
 6 Yasser     11.1      7.6      13.8      1.98
 7 Atef       11.1      7.3      14.6      2.01
 8 Alaa       10.8      7.31     14.4      2.13
 9 Dina       11.4      6.81     14.1      1.95
10 ashraf     11.3      7.56     12.7      1.98
11 abdo       11.4      6.97     13.5      1.86
12 ali        10.6      7.01     14.0      1.93
13 maged      11.1      6.92     14.2      2.03
14 nasser     11.0      6.99     14.0      1.99