This document provides instructions on how to upload private data to Knoema and combine it with public data sources. It discusses uploading data in common formats, creating cross-tables and time series, adding metadata like units and frequencies. Users can mash private and public datasets together in visualizations. The document also covers working with list-based records, maintaining uploaded data, and Knoema's corporate offering with advanced tools.

1. How to upload private data to Knoema
and mash up with data from public
sources
Vladimir Bougay

2. Table of Contents
1. Upload 1-2-3
2. Working with cross table/pivot table, time series data
–
1.
2.
3.
4.
Advanced features: units, multiple frequencies
Mashing private and public data
Working with list/record-based data
Maintaining your data
Corporate offering

3. Upload your data 1-2-3
1.
2.
3.
4.
Create an account if you do not have it yet
Click “Upload data” in the menu
Upload your file and provide dataset name
Wait for upload to complete (usually 1-2 mins)
Supported formats

4. Example of cross table/pivot table
Country
Indicator
2009
2010
2011
2012
United States
Total Revenue
6,237.50
7,219.80
7,875.00
7,055.20
United States
Gross Profit
1,259.10
1,495.50
1,681.20
1,305.50
United States
Net Income
315.4
380.2
411.1
-20.2
Canada
Total Revenue
8,065.40
8,622.30
10,236.40
11,572.00
Canada
Gross Profit
4,636.40
5,073.70
6,027.50
6,923.00
Canada
Net Income
1,044.70
1,723.80
1,381.90
1,618.00
Mexico
Total Revenue
1,938.60
1,943.00
2,050.50
2,195.50
Mexico
Gross Profit
998
964.6
1,073.30
1,139.60
Mexico
Net Income
172.5
148
28.6
11.4

5. Another cross table with units/multifreq. data
Country
Indicator
Unit
2012Q1
2012Q2
2012Q3
2012Q4
2012
United States Total Revenue
USD
6,237.50
7,219.80
7,875.00
7,055.20
28,387.50
United States Gross Profit
USD
1,259.10
1,495.50
1,681.20
1,305.50
5,741.30
United States Net Income
USD
315.4
380.2
411.1
-20.2
1,086.50
United States Employee Count
Persons
23,400.00
23,700.00
24,100.00
24,000.00
24,000.00
Canada
Total Revenue
USD
8,065.40
8,622.30
10,236.40
11,572.00
38,496.10
Canada
Gross Profit
USD
4,636.40
5,073.70
6,027.50
6,923.00
22,660.60
Canada
Net Income
USD
1,044.70
1,723.80
1,381.90
1,618.00
5,768.40
Canada
Employee Count
Persons
37,200.00
37,500.00
38,400.00
39,000.00
39,000.00
Mexico
Total Revenue
USD
1,938.60
1,943.00
2,050.50
2,195.50
8,127.60
Mexico
Gross Profit
USD
998
964.6
1,073.30
1,139.60
4,175.50
Mexico
Net Income
USD
172.5
148
28.6
11.4
360.50
Mexico
Employee Count
Persons
6,300.00
6,500.00
6,200.00
6,600.00
6,600.00

6. Supported date formats/frequencies
 Supported data frequencies: annual, semiannual,
quarterly, monthly, daily
 Statistical date format





2009, 2010, 2011 – years
2009H1, 2013H2 – half-years
2009Q1, 2010Q3, 2012Q4 – quarters
2009M2, 2011M7 – months
MM/DD/YYYY, DD.MM.YYYY - days
 For Excel spreadsheets you can have any date format when
cell format is «Date»

7. How to mash data?
1. Build a table/chart using data from one dataset
first
2. Edit visualization -> Dataset Selection -> Browse
for another dataset
3. Make selection in both datasets and get crossdataset table/chart

8. How to mash data?

9. Private data mashed with public one

10. List/record-based data
Car Maker
Model
State
Color
List Price
Sale Price
Discount
Date Sold
BMW
BMW X6
Virginia
Black
65400
63274.5
3%
5/25/2013
BMW
BMW X1
Alabama
Green
76400
73229.4
4%
1/15/2013
BMW
BMW X3
Alaska
Gold
24600
23124
6%
4/23/2013
BMW
BMW M3
California
Black
78900
73179.75
7%
2/22/2013
BMW
BMW M5
California
White
23700
22076.55
7%
5/25/2013
BMW
BMW Z4
California
Gray
56480
55903.904
1%
12/13/2013
BMW
BMW M6
Florida
Blue
51984
49374.403
5%
12/13/2013
BMW
BMW X6 M
Florida
Silver
66984
64880.702
3%
5/25/2013
BMW
BMW X6 M
Idaho
Yellow
74360
72857.928
2%
12/13/2013
Mercedes
C-Class
Maryland
Silver
57000
54845.4
4%
6/24/2013
Mercedes
S-Class
Illinois
Yellow
21000
18396
12%
1/15/2013
Mercedes
E-Class
Illinois
White
96110
95869.725
0%
2/22/2013
Mercedes
GLK-Class
Georgia
White
98550
96135.525
2%
5/25/2013

11. Definitions
Every row is a record, every column is a field. Types of
fields
Dimension
– Used to categorize your data, becomes dimension
– There is a limit for # of distinct values for dimension fields
Measure
– Number/currency/value data
– All measure fields collapse into Measure dimension
Date
– Used to build time series from your data
Detail
– Any additional information attached to every record

12. Car sales visualization

13. Maintaining your data
Q: Where to look for your data?
A: Profile [Your Name] -> Datasets -> My datasets
Q: Can I append/update data in a dataset?
A: Yes. Open dataset -> Upload data. Update file structure
should be compatible with dataset structure
Q: How do I delete a dataset?
A: Open dataset -> Edit metadata -> Scroll to the bottom ->
Delete -> Confirm

14. Corporate offering
Knoema has special offering for corporate clients
which includes advanced data toolset
Unlimited data uploads
Hierarchical/ordered data
Advanced metadata
Command line tools
Contact us or learn more at
http://knoema.com/products